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.
Postmark 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.
Postscript MCP Pack — SMS marketing for Shopify.
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.
POWO (Plants of the World Online, by the Royal Botanic Gardens, Kew) 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.
Islamic prayer times & calendar MCP (Aladhan API). 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.
PredictHQ MCP — wraps the PredictHQ Events API (predicthq.com)
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.
PredictIt 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.
press-release MCP — wraps StupidAPIs (requires X-API-Key)
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.
Finnish Patent and Registration Office (PRH) — YTJ 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.
EBI PRIDE Archive MCP — proteomics (mass-spectrometry) data repository.
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.
Product Hunt MCP — wraps the Product Hunt GraphQL API v2 (api.producthunt.com)
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.
Property Records MCP — address-level US property records (sales history,
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.
ProPublica Nonprofit MCP — ProPublica Nonprofit Explorer 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.
Human Protein Atlas (HPA) 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.
ProZorro MCP — Ukraine government procurement (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.
PubChem MCP — NIH chemistry compound database (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.
pub.dev MCP — package registry for Dart & Flutter.
Ask Pipeworx — Grounded
Hallucination-resistant answer mode for high-stakes reads. Same routing as ask_pipeworx — picks the right tool from 5,621 across 1472 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.
Mozilla Public Suffix List — eTLD parser (cached 24h)
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.
Pulsedive MCP — threat-intelligence IOC enrichment (pulsedive.com)
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.
PVGIS MCP — EU Joint Research Centre PV system modeler
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.
PyPI MCP — wraps the Python Package Index (PyPI) JSON 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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