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.
Tatoeba multilingual sentence corpus (~13M sentences, 400+ languages)
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.
Tavily MCP — wraps the Tavily API (tavily.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.
Tax Regulations MCP — US Treasury / IRS regulations (26 CFR, 'Treas. Reg.').
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.
TCGdex MCP — multi-language open trading card game database (Pokémon TCG and more).
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.
Tech Feeds 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.
temperature-random 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.
Tenor GIFs/stickers v2: search, featured, categories, trending, posts.
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.
Text case conversion 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.
Text statistics & readability 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.
Transport for London (TfL) Unified API 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.
TheAudioDB MCP — community music metadata database.
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.
the-committee 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.
TheGamesDB MCP — wraps TheGamesDB API (thegamesdb.net), a community
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.
The Graph MCP — indexed blockchain data via subgraph GraphQL queries
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.
Guardian Open Platform: content search, articles, sections, tags. Free dev 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.
ThemeParks.wiki MCP — live theme park wait times, schedules, and attraction data.
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.
TheSportsDB MCP — sports catalog (teams, players, events)
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.
ThreatFox MCP — abuse.ch indicator-of-compromise feed (free, key required)
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.
Ticketmaster Discovery v2 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.
Tides MCP — NOAA Tides and Currents data
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.
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