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297,942 tools. Last updated 2026-07-14 09:59

"fetch" matching MCP tools:

  • [ChatGPT Connector compat] Fetch memory by ID. Exists to satisfy ChatGPT Deep Research's required `search`/`fetch` tool contract. Native MCP clients should fetch via `recall` + memory_id, or use the API's GET /memories/{id} endpoint directly. Returns a single memory with citation support (id, title, url, text fields). Args: id: Memory UUID to fetch ctx: MCP context Returns: Dict with id, title, url, text, metadata fields
    Connector
  • VERIFIABLE keyless web-read for autonomous agents. Every result ships a cryptographically SIGNED provenance receipt (EIP-191 over sha256(text)+url+status+time) — the wedge a free scraper structurally CANNOT match: Jina r.jina.ai is free+keyless too, but its bytes are HEARSAY (no proof of what/where/when). MERCURY's `attestation` is ecrecoverable OFFLINE, forever, by you OR any downstream agent you forward the bytes to — proving the content is genuine + untampered (key pinned at /.well-known/mercury-attestation). For RAG, trading and agent-to-agent commerce that need provenance, that is the gap between data and evidence. Beyond that it's the keyless web-read primitive — NO API key, NO signup, NO account, NO monthly plan, the one fetch SKU a fresh agent can onboard to by itself instead of stopping to ask a human for a key. Give a ?url= and get back clean readable page text + title + status. Agent-native extras (opt-in): ?format=markdown for structure-preserving markdown, ?links=1 for an outbound-link graph (crawl frontier), and the headline wedge — STRUCTURED EXTRACT: ?extract=title,price,author,publishedAt returns a clean JSON record { title, price, author, publishedAt }, an LLM-ready row not a wall of text. That is Firecrawl's paid 'JSON mode' (they need an LLM call + an API key for it) done here DETERMINISTICALLY from the page's own JSON-LD/OpenGraph/meta/microdata — keyless, no LLM, $0.003. (?extract=1 still returns the legacy description + wordCount.) The extracted record is folded into the SIGNED attestation too, so a buyer can prove the FIELDS — not just the raw bytes — are exactly what MERCURY resolved. You pay in-band over HTTP 402 (x402, USDC on Base mainnet) — the wedge those tools can't match: they ALL gate behind a human-created API key + a credit-card plan, so an agent can't onboard itself. This one an agent finds in the x402 Bazaar and pays with zero human in the loop. Honest charge-per-ATTEMPT: every call returns a structured result (success OR an ok:false failure with a reason) — never a silent charge-then-500. Follows redirects, SSRF-guarded, 5s timeout, 10MB cap. Pure data, no mint — delivers in prod. — $0.003/call
    Connector
  • Fetch one or more URLs and return their content as clean markdown. Use this to read articles, documentation, blog posts, or any page where you need the complete text, not just a snippet from search. Also supports PDF, DOCX, and other document formats. Costs 1 credit per URL. Max 10 URLs per request. Failed URLs are not charged. Set include_raw_html=true to also get the raw HTML source in each result. Useful for inspecting embedded URLs, data attributes, iframes, or script tags that are stripped during markdown conversion. Returns null for non-HTML content (PDF, DOCX, etc.). Same cost. Returns: results (array of {title, url, content, raw_html, published_time, success, error}), credits_used, credits_remaining. Args: urls: List of URLs to fetch (max 10) include_raw_html: Include raw HTML source in each result (default false)
    Connector
  • Fetch the full text of a single V³ event by id (from ``search``). Returns V³'s public summary (headline, why-it-matters, risk/impact/ signal scores, coverage depth) plus the canonical v3.news url for citation. The full country-by-country perspectives, timeline, decisions and calibrated outcomes live at that url. Args: id: the V³ event id returned by ``search``.
    Connector
  • Fetch the full record for an ID returned by search. Routes by prefix to the appropriate register: - company:{number} → Companies House full profile - charity:{number} → Charity Commission full profile - disqualification:{officer_id} → Disqualified director full record - notice:{notice_id} → Gazette notice full legal text
    Connector
  • 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.
    Connector

Matching MCP Servers

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    Fetches web pages and converts them to markdown for LLM consumption, supporting chunked reading and raw content extraction.
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    MIT
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    Fetch URLs and return clean, LLM-ready markdown with metadata and layered prompt injection defense. Configurable timeouts, word limits, JS rendering, and link extraction. All-in-one MCP server + CLI.
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    MIT

Matching MCP Connectors

  • Fetch web pages and extract exactly the content you need. Select elements with CSS and retrieve co…

  • MCP server (stdio): fetch web pages as clean readable markdown via the AgentForge API

  • Fetches one agentView resource by agentview:// URI, e.g. agentview://public/status, agentview://account/me or agentview://display/ABCD1234. Use after search or with a known URI. Public URIs need no auth; account and display URIs need a session. Returns uri, type, title, text and structured data.
    Connector
  • 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.
    Connector
  • Fetch one public SkinKnowledgeBase resource. Required input: id, which may be a canonical SKB URL, public comparison URL, entity ULID, slug, or accepted comparison-page identifier. Returns public read-only text and structured data such as title, canonical URL, entity type, evidence sources, product fact sources, updated_at, and public-safe comparison metadata where applicable.
    Connector
  • Fetch the full published answer for a Pinnacle Ask result. `id` accepts a slug from `search`, an /ask path, or a full pinnacleblooms.org/ask URL. Returns the complete answer document (markdown), Everyday Therapy™ tip, what-to-watch guidance, FAQs, and the canonical URL to cite.
    Connector
  • Fetch a DC Hub record for an id returned by the `search` tool (OpenAI Deep Research / ChatGPT connector format). Returns {id, title, text, url, metadata} — a citable public summary of one data-center facility (name, operator, location, status, market). For full structured specs (capacity MW, coordinates) use get_facility or open the url.
    Connector
  • Fetch the full Provenio record for an id returned by `search` (person:… or artwork:…). Returns {id, title, text, url, metadata} where text is a readable provenance/market/influence summary. (ChatGPT connector document-fetch tool — wraps get_artist / get_artwork.)
    Connector
  • Fetch the full plain-English EPA tap-water record for a city id (e.g. 'vt/burlington') returned by `search`. (ChatGPT/Deep-Research compatible.)
    Connector
  • Fetch a tela page's full text by id — the fixed-shape ChatGPT Deep Research companion to `search` (the id comes from a search result). Read-only. Prefer get_page for normal use (same body plus richer metadata and trust signals); reach for `fetch` only when the Deep Research search/fetch contract requires it.
    Connector
  • ChatGPT-connector-compatible fetch of one FHIR resource by id ('ResourceType/id', as returned by search). Returns the full document (PHI-redacted server-side) with metadata.
    Connector
  • Retrieve the full text and metadata of one IWAC item by an id returned from `search` (format '<category>:<number>', e.g. 'articles:28576'). Returns {id, title, text, url, metadata}: `text` is the item's OCR / abstract / description, `url` is the canonical islam.zmo.de link to cite, and `metadata` holds the remaining fields (author, date, country, newspaper, AI sentiment, …). Categories: articles, publications, references, documents, index, audiovisual.
    Connector
  • Purpose: ChatGPT-connector-standard document fetch by id from `search` results. Namespaces: `tool:{name}` returns the tool's full documentation and how to call it; `resource:{uri}` returns the resource's live data (core resources resolved server-side — also the bridge for clients without MCP resource support, e.g. Gemini); `signal:{market}:{symbol}` returns the symbol's latest combined research signal. Triggers: ChatGPT connectors / Deep Research call this after `search`. Clients without MCP resource support can call it directly with a known resource id, e.g. fetch("resource:market://global/summary"). When to call: whenever the full content behind a search result id is needed. Prerequisites: a valid id — from `search` results or a known namespace id. Next steps: for tool docs, call the named tool via tools/call; for signals, get_signal_detail / explain_decision for deeper evidence. Caveats: uncovered resource uris return description-only text (no fabricated data). `text` is a JSON document for resource/signal ids. Output: {id, title, text, url, metadata, disclaimer, is_investment_advice, data_classification} — flat envelope, OpenAI fixed shape. Args: id: document id — "tool:{name}", "resource:{uri}", or "signal:{market}:{symbol}" (market: crypto / kr_stock / us_stock) Disclaimer: Information only, not investment advice.
    Connector
  • Retrieve the complete content of a WindowsForum document (thread or post) by ID — use after search to read the full discussion for detailed analysis and citation. Returns the full text for detailed analysis and citation, including title, URL, and metadata. Use it to expand a search result into its whole document.
    Connector
  • Fetch one document or instrument guide returned by search. This is free, read-only content retrieval with no account, credential, payment, or live-price side effects.
    Connector
  • GrantIQ fetch: return the full record for a single grant by id. The id must come from a prior `search` call. Returns 'not found' when the grant is unknown OR not currently open/visible — there is no leak between those cases.
    Connector