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.
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.
| Parameter | Type | Description |
|---|---|---|
| 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.
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.
| Parameter | Type | Description |
|---|---|---|
| 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.
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.
| Parameter | Type | Description |
|---|---|---|
| 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.
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.
| Parameter | Type | Description |
|---|---|---|
| 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.
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.
| Parameter | Type | Description |
|---|---|---|
| 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.
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.
| Parameter | Type | Description |
|---|---|---|
| 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.
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.
| Parameter | Type | Description |
|---|---|---|
| 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.
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.
| Parameter | Type | Description |
|---|---|---|
| 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.
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.
| Parameter | Type | Description |
|---|---|---|
| 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.
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.
| Parameter | Type | Description |
|---|---|---|
| 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.
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.
| Parameter | Type | Description |
|---|---|---|
| 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.
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.
| Parameter | Type | Description |
|---|---|---|
| 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.
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.
| Parameter | Type | Description |
|---|---|---|
| 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.
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.
| Parameter | Type | Description |
|---|---|---|
| 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.
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.
| Parameter | Type | Description |
|---|---|---|
| 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.
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.
| Parameter | Type | Description |
|---|---|---|
| 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.
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.
| Parameter | Type | Description |
|---|---|---|
| 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.
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.
| Parameter | Type | Description |
|---|---|---|
| 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.
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.
| Parameter | Type | Description |
|---|---|---|
| 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.
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.
| Parameter | Type | Description |
|---|---|---|
| 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.
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