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194,494 tools. Last updated 2026-06-11 21:43

"Information about 'Fetch'" matching MCP tools:

  • Project reference / help desk about Fractera. Use this to answer ANY user question about what Fractera is, how it works, its architecture, components, modes, data ownership, pricing, use cases, partner program, etc. — especially while a deploy is running and the user wants to learn more. TOKEN-ECONOMY: call with NO arguments first to get the lightweight list of section ids+titles, then call again with a single `section` id to fetch just that section. NEVER try to fetch everything at once; pull only the section(s) relevant to the user question. Set `lang:"ru"` for Russian-speaking users.
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  • Project reference / help desk about Fractera. Use this to answer ANY user question about what Fractera is, how it works, its architecture, components, modes, data ownership, pricing, use cases, partner program, etc. — especially while a deploy is running and the user wants to learn more. TOKEN-ECONOMY: call with NO arguments first to get the lightweight list of section ids+titles, then call again with a single `section` id to fetch just that section. NEVER try to fetch everything at once; pull only the section(s) relevant to the user question. Set `lang:"ru"` for Russian-speaking users.
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  • Fetch a specific public FTIR analysis result by ID. USE WHEN: - User provides a result ID (e.g., "result:12345" or "12345") - Following up on search to get full details - User shares a result number and wants details DO NOT USE: - For searching by keyword (use search) - For analyzing new spectra (use search_ftir_library) INPUT: - id: result identifier in format "result:<number>" or just "<number>" OUTPUT: - id: canonical result ID - url: direct link to result page - title: result headline - text: analysis summary - report_view: detailed analysis data - metadata: additional information EXAMPLE: >>> fetch(id="result:12345") >>> fetch(id="12345")
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  • Returns information about safety features on Makuri, including age verification, content filtering, parental controls, and AI safety guardrails. Use when the user asks about child safety, content moderation, or how Makuri protects minors.
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  • Fetch a public HTTPS URL and answer a specific question about its content. Lean mode — no bundle stored. For multi-document Q&A, use ask_collection instead. Returns: { url, answer, answer_cited: { value, confidence, citations[] }, confidence: "high"|"medium"|"low", truncated }
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  • Returns structured information about what the Recursive platform includes: features, AI model details, supported integrations, and what's included at every tier. Use for systematic feature comparison.
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  • A simple tool that performs a fetch request to a webpage.

  • Fetch a URL and get clean Markdown with metadata. No API key required; rate-limited per IP.

  • Get full details for a single business (listing) by its slug. Call this when the user asks for more information about a specific business. Use the slug from search_businesses results.
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  • Get detailed information about board games on BoardGameGeek (BGG) including description, mechanics, categories, player count, playtime, complexity, and ratings. Use this tool to deep dive into games found via other tools (e.g. after getting collection results or search results that only return basic info). Use 'name' for a single game lookup by name, 'id' for a single game lookup by BGG ID, or 'ids' to fetch multiple games at once (up to 20). Only provide one of these parameters.
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  • Get full details for a single broker (agent) by their profile slug. Call this when the user asks for more information about a specific broker. Use the slug from search_brokers results.
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  • Fetch one public Cannon Studio knowledge record by id after search. Public read-only: no auth, no state changes, no charges; use search first when you do not already have a record id.
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  • OpenAI ChatGPT Deep Research / Connectors fetch contract. Given an id returned by `search` (formatted as 'artist:<uuid>', 'campaign:<uuid>', or 'smartlink:<uuid>'), returns the full record for citation.
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  • Fetch property claims for a Wikidata entity with qualifier and reference detail. Value QIDs are resolved to human-readable labels by default. Use the properties parameter to fetch only specific P-IDs — omitting it returns all statements, which can be large. Designed for fact verification: "what does Wikidata say about this entity's {property}?". Preferred-rank statements are the most current values.
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  • [ONE LINE — what this API does] This API retrieves a list of available purchase types for a specified company. Use when: You need to obtain detailed information about different purchase types, such as when setting up purchase orders or managing inventory categories within the enterprise system. IMPORTANT: Ensure that the `intUID` and `intCompanyCode` fields in the request body are correctly specified to match the user's identity and company context. These fields are essential for downstream processes that depend on accurate user and company identification. Headers required (auto-injected by MCP server — agent does not need to manage): - `accept`: Specifies the media types that are acceptable for the response. - `accept-language`: Indicates the preferred language for the response. - `accessflag`: Used for internal access control. - `authorization`: Authentication token for secure access. - `companycode`: Identifies the company context for the request. - `content-type`: Indicates the media type of the request body. - `delegateduserid`: Represents the user ID of the delegated user. - `doptcode`: Operational code for the request. - `dtcode`: Specific code for transaction identification. - `identifiers`: Unique identifiers for the request. - `isinternaluser`: Indicates if the user is internal. - `ismobileapp`: Specifies if the request is from a mobile app. - `loginauditno`: Audit number for login tracking. - `origin`: Origin URL of the request. - `priority`: Priority level of the request. - `sec-ch-ua`: User agent client hints for browser information. - `sec-ch-ua-mobile`: Indicates if the request is from a mobile device. - `sec-ch-ua-platform`: Platform information of the user agent. - `sec-fetch-dest`: Destination of the fetch request. - `sec-fetch-mode`: Mode of the fetch request. - `sec-fetch-site`: Site context of the fetch request. - `showspinner`: Controls the display of loading indicators. - `user-agent`: Information about the user agent making the request. - `userid`: Unique identifier for the user making the request. Request body fields: - `intUID` (integer): The unique identifier for the user making the request. - `intCompanyCode` (integer): The code representing the company for which purchase types are being requested. - `chrActiveStatus` (string): Indicates whether to fetch active purchase types ('Y' for active). Response fields: - `result.typeLists` (array): Contains detailed information about each purchase type. - `purchaseTypeCode` (integer): The unique code identifying the purchase type. - `purchaseTypeDesc` (string): A full description of the purchase type. - `purchaseTypeShortDesc` (string): A shortened description of the purchase type. - `purchaseActive` (string): Indicates if the purchase type is currently active ('Y' for active). Error handling: - If the request fails due to authorization issues, ensure the `authorization` header is correctly set. - If no purchase types are returned, verify that the `intCompanyCode` and `chrActiveStatus` in the request body are correct and correspond to valid entries in the system. - Network or server errors may result in a null or empty response; retry the request or check server status.
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  • IMPORTANT: Always use this tool FIRST before working with Vaadin. Returns a comprehensive primer document with current (2025+) information about modern Vaadin development. This addresses common AI misconceptions about Vaadin and provides up-to-date information about Java vs React development models, project structure, components, and best practices. Essential reading to avoid outdated assumptions. For legacy versions (7, 8, 14), returns guidance on version-specific resources.
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  • Get full details for a single business (listing) by its slug. Call this when the user asks for more information about a specific business. Use the slug from search_businesses results.
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  • Use answer_query to get a grounded answer to a query about Google developer products. This tool has limited quota. This tool will synthesize information from the corpus to generate an answer to the query. answer_query grounds answers using the same corpus as search_documents. This tool returns the generated answer_text and a list of document names (references) used to generate the answer. Use get_documents with the document names to fetch the entire document content if needed. If you get a 429 out of quota error, use search_documents instead.
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  • Get full details for a single broker (agent) by their profile slug. Call this when the user asks for more information about a specific broker. Use the slug from search_brokers results.
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  • Get detailed information about a specific train connection including all intermediate stops, platforms, and occupancy. Use a trip ID from search_connections results.
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  • Get information about an NFT collection or a specific token within a collection. If token_id is provided, returns token-level details (owner, URI). If omitted, returns collection-level info (name, symbol, total supply).
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  • Query the DezignWorks knowledge base for information about the product, troubleshooting, features, workflows, supported hardware, and licensing. DezignWorks is reverse engineering software that integrates with SolidWorks and Autodesk Inventor, converting 3D scan data and probe measurements into parametric CAD models. Use this tool when answering questions about the product's capabilities, compatibility, or how to accomplish specific tasks.
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