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ask_pipeworx_grounded

Exposed by 1312 servers, with 3 different definitions behind the one name.

The same name does not mean the same tool here.

1312 servers expose ask_pipeworx_grounded and we have recorded 3 distinct definitions of it. Compare the parameters below before assuming one is a drop-in for another.

io.github.pipeworx-io/pipeworx-catalog reachable 5 stars

Live data gateway for AI — 3,300+ tools across 750+ sources, with citations

Ask Pipeworx — Grounded

Hallucination-resistant answer mode for high-stakes reads. Same routing as ask_pipeworx — picks the right tool from 5,635 across 1477 sources, fills arguments, fetches the data — then EXTRACTS the answer using ONLY what the tool result contains. Returns {answer, evidence (verbatim quote), confidence, source, fetched_at, refusal_reason:null} on success, OR an explicit refusal {answer:null, refusal_reason:"not_in_source"|"no_tool_match"|"tool_error"|"data_truncated"|"llm_error"} when the data doesn't directly answer. Use whenever an answer will be quoted, cited, or acted on, and the agent must not invent facts (financial verdicts, legal claims, medical lookups, public statements). Costs one extra LLM call vs ask_pipeworx — prefer ask_pipeworx for casual lookups.

ParameterTypeDescription
q string Alias for question.
text string Alias for question.
input string Alias for question.
query string Alias for question.
prompt string Alias for question.
question* string Your question in natural language. Accepts query, q, prompt, text, input as aliases.

* required

Author's annotations: readOnlyHint=True, openWorldHint=True, idempotentHint=True, destructiveHint=False. These are claims by whoever wrote the server, not something we verified.

no output schema sha256 64dc6854f07d8062 read 2026-08-27 repository
io.github.pipeworx-io/football-data reachable 2 stars

Football-Data.org MCP — soccer competitions, matches, standings

Ask Pipeworx — Grounded

Hallucination-resistant answer mode for high-stakes reads. Same routing as ask_pipeworx — picks the right tool from 5,635 across 1477 sources, fills arguments, fetches the data — then EXTRACTS the answer using ONLY what the tool result contains. Returns {answer, evidence (verbatim quote), confidence, source, fetched_at, refusal_reason:null} on success, OR an explicit refusal {answer:null, refusal_reason:"not_in_source"|"no_tool_match"|"tool_error"|"data_truncated"|"llm_error"} when the data doesn't directly answer. Use whenever an answer will be quoted, cited, or acted on, and the agent must not invent facts (financial verdicts, legal claims, medical lookups, public statements). Costs one extra LLM call vs ask_pipeworx — prefer ask_pipeworx for casual lookups.

ParameterTypeDescription
q string Alias for question.
text string Alias for question.
input string Alias for question.
query string Alias for question.
prompt string Alias for question.
question* string Your question in natural language. Accepts query, q, prompt, text, input as aliases.

* required

Author's annotations: readOnlyHint=True, openWorldHint=True, idempotentHint=True, destructiveHint=False. These are claims by whoever wrote the server, not something we verified.

no output schema sha256 64dc6854f07d8062 read 2026-08-27 repository
io.github.pipeworx-io/arcgis-charlotte reachable 1 stars

City of Charlotte GIS — Charlotte, North Carolina open geospatial data (ArcGIS).

Ask Pipeworx — Grounded

Hallucination-resistant answer mode for high-stakes reads. Same routing as ask_pipeworx — picks the right tool from 5,635 across 1477 sources, fills arguments, fetches the data — then EXTRACTS the answer using ONLY what the tool result contains. Returns {answer, evidence (verbatim quote), confidence, source, fetched_at, refusal_reason:null} on success, OR an explicit refusal {answer:null, refusal_reason:"not_in_source"|"no_tool_match"|"tool_error"|"data_truncated"|"llm_error"} when the data doesn't directly answer. Use whenever an answer will be quoted, cited, or acted on, and the agent must not invent facts (financial verdicts, legal claims, medical lookups, public statements). Costs one extra LLM call vs ask_pipeworx — prefer ask_pipeworx for casual lookups.

ParameterTypeDescription
q string Alias for question.
text string Alias for question.
input string Alias for question.
query string Alias for question.
prompt string Alias for question.
question* string Your question in natural language. Accepts query, q, prompt, text, input as aliases.

* required

Author's annotations: readOnlyHint=True, openWorldHint=True, idempotentHint=True, destructiveHint=False. These are claims by whoever wrote the server, not something we verified.

no output schema sha256 64dc6854f07d8062 read 2026-08-27 repository
io.github.pipeworx-io/canada-tenders reachable 1 stars

Canada Government Procurement MCP — CanadaBuys open data (keyless).

Ask Pipeworx — Grounded

Hallucination-resistant answer mode for high-stakes reads. Same routing as ask_pipeworx — picks the right tool from 5,635 across 1477 sources, fills arguments, fetches the data — then EXTRACTS the answer using ONLY what the tool result contains. Returns {answer, evidence (verbatim quote), confidence, source, fetched_at, refusal_reason:null} on success, OR an explicit refusal {answer:null, refusal_reason:"not_in_source"|"no_tool_match"|"tool_error"|"data_truncated"|"llm_error"} when the data doesn't directly answer. Use whenever an answer will be quoted, cited, or acted on, and the agent must not invent facts (financial verdicts, legal claims, medical lookups, public statements). Costs one extra LLM call vs ask_pipeworx — prefer ask_pipeworx for casual lookups.

ParameterTypeDescription
q string Alias for question.
text string Alias for question.
input string Alias for question.
query string Alias for question.
prompt string Alias for question.
question* string Your question in natural language. Accepts query, q, prompt, text, input as aliases.

* required

Author's annotations: readOnlyHint=True, openWorldHint=True, idempotentHint=True, destructiveHint=False. These are claims by whoever wrote the server, not something we verified.

no output schema sha256 64dc6854f07d8062 read 2026-08-27 repository
io.github.pipeworx-io/cftc-cot reachable 1 stars

CFTC Commitment of Traders (COT) MCP.

Ask Pipeworx — Grounded

Hallucination-resistant answer mode for high-stakes reads. Same routing as ask_pipeworx — picks the right tool from 5,635 across 1477 sources, fills arguments, fetches the data — then EXTRACTS the answer using ONLY what the tool result contains. Returns {answer, evidence (verbatim quote), confidence, source, fetched_at, refusal_reason:null} on success, OR an explicit refusal {answer:null, refusal_reason:"not_in_source"|"no_tool_match"|"tool_error"|"data_truncated"|"llm_error"} when the data doesn't directly answer. Use whenever an answer will be quoted, cited, or acted on, and the agent must not invent facts (financial verdicts, legal claims, medical lookups, public statements). Costs one extra LLM call vs ask_pipeworx — prefer ask_pipeworx for casual lookups.

ParameterTypeDescription
q string Alias for question.
text string Alias for question.
input string Alias for question.
query string Alias for question.
prompt string Alias for question.
question* string Your question in natural language. Accepts query, q, prompt, text, input as aliases.

* required

Author's annotations: readOnlyHint=True, openWorldHint=True, idempotentHint=True, destructiveHint=False. These are claims by whoever wrote the server, not something we verified.

no output schema sha256 64dc6854f07d8062 read 2026-08-27 repository
io.github.pipeworx-io/cms reachable 1 stars

CMS Open Data MCP — US Centers for Medicare & Medicaid Services.

Ask Pipeworx — Grounded

Hallucination-resistant answer mode for high-stakes reads. Same routing as ask_pipeworx — picks the right tool from 5,635 across 1477 sources, fills arguments, fetches the data — then EXTRACTS the answer using ONLY what the tool result contains. Returns {answer, evidence (verbatim quote), confidence, source, fetched_at, refusal_reason:null} on success, OR an explicit refusal {answer:null, refusal_reason:"not_in_source"|"no_tool_match"|"tool_error"|"data_truncated"|"llm_error"} when the data doesn't directly answer. Use whenever an answer will be quoted, cited, or acted on, and the agent must not invent facts (financial verdicts, legal claims, medical lookups, public statements). Costs one extra LLM call vs ask_pipeworx — prefer ask_pipeworx for casual lookups.

ParameterTypeDescription
q string Alias for question.
text string Alias for question.
input string Alias for question.
query string Alias for question.
prompt string Alias for question.
question* string Your question in natural language. Accepts query, q, prompt, text, input as aliases.

* required

Author's annotations: readOnlyHint=True, openWorldHint=True, idempotentHint=True, destructiveHint=False. These are claims by whoever wrote the server, not something we verified.

no output schema sha256 64dc6854f07d8062 read 2026-08-27 repository
io.github.pipeworx-io/czso-cz reachable 1 stars

Czech Statistical Office (Český statistický úřad, ČSÚ) open-data MCP.

Ask Pipeworx — Grounded

Hallucination-resistant answer mode for high-stakes reads. Same routing as ask_pipeworx — picks the right tool from 5,635 across 1477 sources, fills arguments, fetches the data — then EXTRACTS the answer using ONLY what the tool result contains. Returns {answer, evidence (verbatim quote), confidence, source, fetched_at, refusal_reason:null} on success, OR an explicit refusal {answer:null, refusal_reason:"not_in_source"|"no_tool_match"|"tool_error"|"data_truncated"|"llm_error"} when the data doesn't directly answer. Use whenever an answer will be quoted, cited, or acted on, and the agent must not invent facts (financial verdicts, legal claims, medical lookups, public statements). Costs one extra LLM call vs ask_pipeworx — prefer ask_pipeworx for casual lookups.

ParameterTypeDescription
q string Alias for question.
text string Alias for question.
input string Alias for question.
query string Alias for question.
prompt string Alias for question.
question* string Your question in natural language. Accepts query, q, prompt, text, input as aliases.

* required

Author's annotations: readOnlyHint=True, openWorldHint=True, idempotentHint=True, destructiveHint=False. These are claims by whoever wrote the server, not something we verified.

no output schema sha256 64dc6854f07d8062 read 2026-08-27 repository
io.github.pipeworx-io/data-ny reachable 1 stars

data.ny.gov — New York State open-data Socrata portal

Ask Pipeworx — Grounded

Hallucination-resistant answer mode for high-stakes reads. Same routing as ask_pipeworx — picks the right tool from 5,635 across 1477 sources, fills arguments, fetches the data — then EXTRACTS the answer using ONLY what the tool result contains. Returns {answer, evidence (verbatim quote), confidence, source, fetched_at, refusal_reason:null} on success, OR an explicit refusal {answer:null, refusal_reason:"not_in_source"|"no_tool_match"|"tool_error"|"data_truncated"|"llm_error"} when the data doesn't directly answer. Use whenever an answer will be quoted, cited, or acted on, and the agent must not invent facts (financial verdicts, legal claims, medical lookups, public statements). Costs one extra LLM call vs ask_pipeworx — prefer ask_pipeworx for casual lookups.

ParameterTypeDescription
q string Alias for question.
text string Alias for question.
input string Alias for question.
query string Alias for question.
prompt string Alias for question.
question* string Your question in natural language. Accepts query, q, prompt, text, input as aliases.

* required

Author's annotations: readOnlyHint=True, openWorldHint=True, idempotentHint=True, destructiveHint=False. These are claims by whoever wrote the server, not something we verified.

no output schema sha256 64dc6854f07d8062 read 2026-08-27 repository
io.github.pipeworx-io/data-oregon reachable 1 stars

Oregon state open data via Socrata SoQL — agencies, business, health, environment.

Ask Pipeworx — Grounded

Hallucination-resistant answer mode for high-stakes reads. Same routing as ask_pipeworx — picks the right tool from 5,635 across 1477 sources, fills arguments, fetches the data — then EXTRACTS the answer using ONLY what the tool result contains. Returns {answer, evidence (verbatim quote), confidence, source, fetched_at, refusal_reason:null} on success, OR an explicit refusal {answer:null, refusal_reason:"not_in_source"|"no_tool_match"|"tool_error"|"data_truncated"|"llm_error"} when the data doesn't directly answer. Use whenever an answer will be quoted, cited, or acted on, and the agent must not invent facts (financial verdicts, legal claims, medical lookups, public statements). Costs one extra LLM call vs ask_pipeworx — prefer ask_pipeworx for casual lookups.

ParameterTypeDescription
q string Alias for question.
text string Alias for question.
input string Alias for question.
query string Alias for question.
prompt string Alias for question.
question* string Your question in natural language. Accepts query, q, prompt, text, input as aliases.

* required

Author's annotations: readOnlyHint=True, openWorldHint=True, idempotentHint=True, destructiveHint=False. These are claims by whoever wrote the server, not something we verified.

no output schema sha256 64dc6854f07d8062 read 2026-08-27 repository
io.github.pipeworx-io/dataverse-harvard reachable 1 stars

Harvard Dataverse — research dataset repository (~150k datasets)

Ask Pipeworx — Grounded

Hallucination-resistant answer mode for high-stakes reads. Same routing as ask_pipeworx — picks the right tool from 5,635 across 1477 sources, fills arguments, fetches the data — then EXTRACTS the answer using ONLY what the tool result contains. Returns {answer, evidence (verbatim quote), confidence, source, fetched_at, refusal_reason:null} on success, OR an explicit refusal {answer:null, refusal_reason:"not_in_source"|"no_tool_match"|"tool_error"|"data_truncated"|"llm_error"} when the data doesn't directly answer. Use whenever an answer will be quoted, cited, or acted on, and the agent must not invent facts (financial verdicts, legal claims, medical lookups, public statements). Costs one extra LLM call vs ask_pipeworx — prefer ask_pipeworx for casual lookups.

ParameterTypeDescription
q string Alias for question.
text string Alias for question.
input string Alias for question.
query string Alias for question.
prompt string Alias for question.
question* string Your question in natural language. Accepts query, q, prompt, text, input as aliases.

* required

Author's annotations: readOnlyHint=True, openWorldHint=True, idempotentHint=True, destructiveHint=False. These are claims by whoever wrote the server, not something we verified.

no output schema sha256 64dc6854f07d8062 read 2026-08-27 repository
io.github.pipeworx-io/dbpedia error 1 stars

DBpedia MCP — SPARQL + Lookup over Wikipedia-derived structured data

Ask Pipeworx — Grounded

Hallucination-resistant answer mode for high-stakes reads. Same routing as ask_pipeworx — picks the right tool from 5,211 across 1365 sources, fills arguments, fetches the data — then EXTRACTS the answer using ONLY what the tool result contains. Returns {answer, evidence (verbatim quote), confidence, source, fetched_at, refusal_reason:null} on success, OR an explicit refusal {answer:null, refusal_reason:"not_in_source"|"no_tool_match"|"tool_error"|"data_truncated"|"llm_error"} when the data doesn't directly answer. Use whenever an answer will be quoted, cited, or acted on, and the agent must not invent facts (financial verdicts, legal claims, medical lookups, public statements). Costs one extra LLM call vs ask_pipeworx — prefer ask_pipeworx for casual lookups.

ParameterTypeDescription
q string Alias for question.
text string Alias for question.
input string Alias for question.
query string Alias for question.
prompt string Alias for question.
question* string Your question in natural language. Accepts query, q, prompt, text, input as aliases.

* required

Author's annotations: readOnlyHint=True, openWorldHint=True, idempotentHint=True, destructiveHint=False. These are claims by whoever wrote the server, not something we verified.

no output schema sha256 22c081df4d75dae1 read 2026-07-29 repository
io.github.pipeworx-io/decodo reachable 1 stars

Decodo MCP — wraps the Decodo Web Scraping API (decodo.com, formerly

Ask Pipeworx — Grounded

Hallucination-resistant answer mode for high-stakes reads. Same routing as ask_pipeworx — picks the right tool from 5,635 across 1477 sources, fills arguments, fetches the data — then EXTRACTS the answer using ONLY what the tool result contains. Returns {answer, evidence (verbatim quote), confidence, source, fetched_at, refusal_reason:null} on success, OR an explicit refusal {answer:null, refusal_reason:"not_in_source"|"no_tool_match"|"tool_error"|"data_truncated"|"llm_error"} when the data doesn't directly answer. Use whenever an answer will be quoted, cited, or acted on, and the agent must not invent facts (financial verdicts, legal claims, medical lookups, public statements). Costs one extra LLM call vs ask_pipeworx — prefer ask_pipeworx for casual lookups.

ParameterTypeDescription
q string Alias for question.
text string Alias for question.
input string Alias for question.
query string Alias for question.
prompt string Alias for question.
question* string Your question in natural language. Accepts query, q, prompt, text, input as aliases.

* required

Author's annotations: readOnlyHint=True, openWorldHint=True, idempotentHint=True, destructiveHint=False. These are claims by whoever wrote the server, not something we verified.

no output schema sha256 64dc6854f07d8062 read 2026-08-27 repository
io.github.pipeworx-io/emdb reachable 1 stars

EMDB (EBI Electron Microscopy Data Bank) MCP — keyless.

Ask Pipeworx — Grounded

Hallucination-resistant answer mode for high-stakes reads. Same routing as ask_pipeworx — picks the right tool from 5,635 across 1477 sources, fills arguments, fetches the data — then EXTRACTS the answer using ONLY what the tool result contains. Returns {answer, evidence (verbatim quote), confidence, source, fetched_at, refusal_reason:null} on success, OR an explicit refusal {answer:null, refusal_reason:"not_in_source"|"no_tool_match"|"tool_error"|"data_truncated"|"llm_error"} when the data doesn't directly answer. Use whenever an answer will be quoted, cited, or acted on, and the agent must not invent facts (financial verdicts, legal claims, medical lookups, public statements). Costs one extra LLM call vs ask_pipeworx — prefer ask_pipeworx for casual lookups.

ParameterTypeDescription
q string Alias for question.
text string Alias for question.
input string Alias for question.
query string Alias for question.
prompt string Alias for question.
question* string Your question in natural language. Accepts query, q, prompt, text, input as aliases.

* required

Author's annotations: readOnlyHint=True, openWorldHint=True, idempotentHint=True, destructiveHint=False. These are claims by whoever wrote the server, not something we verified.

no output schema sha256 64dc6854f07d8062 read 2026-08-27 repository
io.github.pipeworx-io/fcc-regulations reachable 1 stars

FCC Regulations MCP — US Federal Communications Commission rules (47 CFR).

Ask Pipeworx — Grounded

Hallucination-resistant answer mode for high-stakes reads. Same routing as ask_pipeworx — picks the right tool from 5,635 across 1477 sources, fills arguments, fetches the data — then EXTRACTS the answer using ONLY what the tool result contains. Returns {answer, evidence (verbatim quote), confidence, source, fetched_at, refusal_reason:null} on success, OR an explicit refusal {answer:null, refusal_reason:"not_in_source"|"no_tool_match"|"tool_error"|"data_truncated"|"llm_error"} when the data doesn't directly answer. Use whenever an answer will be quoted, cited, or acted on, and the agent must not invent facts (financial verdicts, legal claims, medical lookups, public statements). Costs one extra LLM call vs ask_pipeworx — prefer ask_pipeworx for casual lookups.

ParameterTypeDescription
q string Alias for question.
text string Alias for question.
input string Alias for question.
query string Alias for question.
prompt string Alias for question.
question* string Your question in natural language. Accepts query, q, prompt, text, input as aliases.

* required

Author's annotations: readOnlyHint=True, openWorldHint=True, idempotentHint=True, destructiveHint=False. These are claims by whoever wrote the server, not something we verified.

no output schema sha256 64dc6854f07d8062 read 2026-08-27 repository
io.github.pipeworx-io/gdelt reachable 1 stars

GDELT MCP — Global Database of Events, Language, and Tone (free, no auth)

Ask Pipeworx — Grounded

Hallucination-resistant answer mode for high-stakes reads. Same routing as ask_pipeworx — picks the right tool from 5,635 across 1477 sources, fills arguments, fetches the data — then EXTRACTS the answer using ONLY what the tool result contains. Returns {answer, evidence (verbatim quote), confidence, source, fetched_at, refusal_reason:null} on success, OR an explicit refusal {answer:null, refusal_reason:"not_in_source"|"no_tool_match"|"tool_error"|"data_truncated"|"llm_error"} when the data doesn't directly answer. Use whenever an answer will be quoted, cited, or acted on, and the agent must not invent facts (financial verdicts, legal claims, medical lookups, public statements). Costs one extra LLM call vs ask_pipeworx — prefer ask_pipeworx for casual lookups.

ParameterTypeDescription
q string Alias for question.
text string Alias for question.
input string Alias for question.
query string Alias for question.
prompt string Alias for question.
question* string Your question in natural language. Accepts query, q, prompt, text, input as aliases.

* required

Author's annotations: readOnlyHint=True, openWorldHint=True, idempotentHint=True, destructiveHint=False. These are claims by whoever wrote the server, not something we verified.

no output schema sha256 64dc6854f07d8062 read 2026-08-27 repository
io.github.pipeworx-io/geo reachable 1 stars

Geo MCP — geographic utilities from free public APIs

Ask Pipeworx — Grounded

Hallucination-resistant answer mode for high-stakes reads. Same routing as ask_pipeworx — picks the right tool from 5,635 across 1477 sources, fills arguments, fetches the data — then EXTRACTS the answer using ONLY what the tool result contains. Returns {answer, evidence (verbatim quote), confidence, source, fetched_at, refusal_reason:null} on success, OR an explicit refusal {answer:null, refusal_reason:"not_in_source"|"no_tool_match"|"tool_error"|"data_truncated"|"llm_error"} when the data doesn't directly answer. Use whenever an answer will be quoted, cited, or acted on, and the agent must not invent facts (financial verdicts, legal claims, medical lookups, public statements). Costs one extra LLM call vs ask_pipeworx — prefer ask_pipeworx for casual lookups.

ParameterTypeDescription
q string Alias for question.
text string Alias for question.
input string Alias for question.
query string Alias for question.
prompt string Alias for question.
question* string Your question in natural language. Accepts query, q, prompt, text, input as aliases.

* required

Author's annotations: readOnlyHint=True, openWorldHint=True, idempotentHint=True, destructiveHint=False. These are claims by whoever wrote the server, not something we verified.

no output schema sha256 64dc6854f07d8062 read 2026-08-27 repository
io.github.pipeworx-io/gitlab-public reachable 1 stars

GitLab Public MCP — wraps the GitLab REST API v4 (public endpoints, no auth)

Ask Pipeworx — Grounded

Hallucination-resistant answer mode for high-stakes reads. Same routing as ask_pipeworx — picks the right tool from 5,635 across 1477 sources, fills arguments, fetches the data — then EXTRACTS the answer using ONLY what the tool result contains. Returns {answer, evidence (verbatim quote), confidence, source, fetched_at, refusal_reason:null} on success, OR an explicit refusal {answer:null, refusal_reason:"not_in_source"|"no_tool_match"|"tool_error"|"data_truncated"|"llm_error"} when the data doesn't directly answer. Use whenever an answer will be quoted, cited, or acted on, and the agent must not invent facts (financial verdicts, legal claims, medical lookups, public statements). Costs one extra LLM call vs ask_pipeworx — prefer ask_pipeworx for casual lookups.

ParameterTypeDescription
q string Alias for question.
text string Alias for question.
input string Alias for question.
query string Alias for question.
prompt string Alias for question.
question* string Your question in natural language. Accepts query, q, prompt, text, input as aliases.

* required

Author's annotations: readOnlyHint=True, openWorldHint=True, idempotentHint=True, destructiveHint=False. These are claims by whoever wrote the server, not something we verified.

no output schema sha256 64dc6854f07d8062 read 2026-08-27 repository
io.github.pipeworx-io/harvard-art reachable 1 stars

Harvard Art Museums MCP.

Ask Pipeworx — Grounded

Hallucination-resistant answer mode for high-stakes reads. Same routing as ask_pipeworx — picks the right tool from 5,635 across 1477 sources, fills arguments, fetches the data — then EXTRACTS the answer using ONLY what the tool result contains. Returns {answer, evidence (verbatim quote), confidence, source, fetched_at, refusal_reason:null} on success, OR an explicit refusal {answer:null, refusal_reason:"not_in_source"|"no_tool_match"|"tool_error"|"data_truncated"|"llm_error"} when the data doesn't directly answer. Use whenever an answer will be quoted, cited, or acted on, and the agent must not invent facts (financial verdicts, legal claims, medical lookups, public statements). Costs one extra LLM call vs ask_pipeworx — prefer ask_pipeworx for casual lookups.

ParameterTypeDescription
q string Alias for question.
text string Alias for question.
input string Alias for question.
query string Alias for question.
prompt string Alias for question.
question* string Your question in natural language. Accepts query, q, prompt, text, input as aliases.

* required

Author's annotations: readOnlyHint=True, openWorldHint=True, idempotentHint=True, destructiveHint=False. These are claims by whoever wrote the server, not something we verified.

no output schema sha256 64dc6854f07d8062 read 2026-08-27 repository
io.github.pipeworx-io/housing-intel reachable 1 stars

Housing Intel MCP — Meta-pack that chains FRED, BLS, ATTOM, and HUD APIs

Ask Pipeworx — Grounded

Hallucination-resistant answer mode for high-stakes reads. Same routing as ask_pipeworx — picks the right tool from 5,635 across 1477 sources, fills arguments, fetches the data — then EXTRACTS the answer using ONLY what the tool result contains. Returns {answer, evidence (verbatim quote), confidence, source, fetched_at, refusal_reason:null} on success, OR an explicit refusal {answer:null, refusal_reason:"not_in_source"|"no_tool_match"|"tool_error"|"data_truncated"|"llm_error"} when the data doesn't directly answer. Use whenever an answer will be quoted, cited, or acted on, and the agent must not invent facts (financial verdicts, legal claims, medical lookups, public statements). Costs one extra LLM call vs ask_pipeworx — prefer ask_pipeworx for casual lookups.

ParameterTypeDescription
q string Alias for question.
text string Alias for question.
input string Alias for question.
query string Alias for question.
prompt string Alias for question.
question* string Your question in natural language. Accepts query, q, prompt, text, input as aliases.

* required

Author's annotations: readOnlyHint=True, openWorldHint=True, idempotentHint=True, destructiveHint=False. These are claims by whoever wrote the server, not something we verified.

no output schema sha256 64dc6854f07d8062 read 2026-08-27 repository
io.github.pipeworx-io/iconify reachable 1 stars

Iconify MCP — wraps the Iconify public API (free, no auth)

Ask Pipeworx — Grounded

Hallucination-resistant answer mode for high-stakes reads. Same routing as ask_pipeworx — picks the right tool from 5,635 across 1477 sources, fills arguments, fetches the data — then EXTRACTS the answer using ONLY what the tool result contains. Returns {answer, evidence (verbatim quote), confidence, source, fetched_at, refusal_reason:null} on success, OR an explicit refusal {answer:null, refusal_reason:"not_in_source"|"no_tool_match"|"tool_error"|"data_truncated"|"llm_error"} when the data doesn't directly answer. Use whenever an answer will be quoted, cited, or acted on, and the agent must not invent facts (financial verdicts, legal claims, medical lookups, public statements). Costs one extra LLM call vs ask_pipeworx — prefer ask_pipeworx for casual lookups.

ParameterTypeDescription
q string Alias for question.
text string Alias for question.
input string Alias for question.
query string Alias for question.
prompt string Alias for question.
question* string Your question in natural language. Accepts query, q, prompt, text, input as aliases.

* required

Author's annotations: readOnlyHint=True, openWorldHint=True, idempotentHint=True, destructiveHint=False. These are claims by whoever wrote the server, not something we verified.

no output schema sha256 64dc6854f07d8062 read 2026-08-27 repository
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Every field above is reproduced as the server published it at the time shown. The description and the annotations are claims by the server's author. Toolpin does not call tools, so we cannot tell you whether a tool does what it says.

What we can tell you is whether the claim changed. The hash covers the fields the MCP specification defines, so a vendor build stamp does not move it but a rewritten description does. See how we monitor, or this server's change history.