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205,128 tools. Last updated 2026-06-15 11:33

"A query related to 'crawl' and its contexts" matching MCP tools:

  • Search the Arclan registry for MCP servers. By default returns only connectable servers (active, mcp_partial, auth_gated). Use status=stdio to browse local-only servers available for installation. Use status=all to query the full index. Use production_safe=true to restrict to servers with uptime > 97% and handshake success > 95%. Use read_only=true to restrict to servers with no write or exec tools. Use this before connecting to an MCP server to check its validation status and score. After using a server, call report_server to contribute reliability data.
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  • USE THIS TOOL WHEN you have a bill_id (from bills_search_bills) and want the full detail. Returns sponsors, current stage, long title, summary, and Royal Assent date if enacted. Summary text is capped per max_summary_chars — check summary_truncated in the response. AFTER calling, use parliament_search_hansard(query=bill_short_title) to find the bill's parliamentary debates, or bills_search_bills with a related keyword for adjacent bills.
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  • USE THIS TOOL WHEN you have a bill_id (from bills_search_bills) and want the full detail. Returns sponsors, current stage, long title, summary, and Royal Assent date if enacted. Summary text is capped per max_summary_chars — check summary_truncated in the response. AFTER calling, use parliament_search_hansard(query=bill_short_title) to find the bill's parliamentary debates, or bills_search_bills with a related keyword for adjacent bills.
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  • Search commercial real estate listings. Returns paginated hits with facet counts. For AI-driven search, call interpret_search first to convert a natural-language query into structured filters, then pass those filters — and its bounds, when present — here.
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  • Attach a photo to a listing you own directly from its public URL — one call, no separate sign/upload/confirm. The server fetches the image and ingests it with auto-generated thumbnail/hero/full variants. Only https image URLs whose host is publicly routable are accepted. The photo is content-moderated (must be real-estate related and safe) before it can appear publicly — the returned snapshot includes the moderation_status (approved / rejected / escalated) and moderation_reason. A rejected or escalated photo will not be publicly visible and will block publishing until removed or replaced.
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  • Single-item revocation lookup per Receipt Format v1.0 §8.2. Verifiers that do not want to maintain a local mirror of `/.well-known/receipt-revocations.json` call this endpoint instead. The response includes `feed_version` for cache coherence. Use this tool when: - You are verifying a receipt and need to confirm its `signature.key_id` is still trusted. - You are verifying a receipt and need to confirm the specific `receipt_id` was not retracted by its issuer. - You hold receipts long-term and want to recheck trust before acting on them. Do NOT use this tool when: - You want the full revocation set — fetch `/.well-known/receipt-revocations.json` directly. - You want to *publish* a revocation — that is operator-controlled and not exposed via this API. Inputs: - `key_id` (query, optional): Receipt-format key_id (e.g., `tm-receipt-2026-05`). Provide one of `key_id` or `id`. - `id` (query, optional): UUIDv7 of a specific receipt. Provide one of `key_id` or `id`. Returns: - `revoked`: boolean. - When revoked: `revoked_at` (ISO 8601), `reason` (human-readable), `replacement_key_id` (for keys). - Always: `checked_at` (ISO 8601), `feed_version` (integer). Cost: - Free; rate-limited like the rest of the data API. Edge-cached 60s. Latency: - Typical <100ms (warm cache); p99 <500ms (cold fetch from well-known).
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Matching MCP Servers

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  • Architecture-grounded query for AI agents. Governance constraints, system dependencies, evidence.

  • Transform any blog post or article URL into ready-to-post social media content for Twitter/X threads, LinkedIn posts, Instagram captions, Facebook posts, and email newsletters. Pay-per-event: $0.07 for all 5 platforms, $0.03 for single platform.

  • Search Blueprint principles by free-text query and return the closest matches ranked by relevance. Use this to find principles related to a specific design challenge, failure mode, or keyword (e.g. 'reversibility', 'approval flow', 'delegation boundary'). Returns principle title, cluster, definition, rationale, and implementation heuristics. Prefer this over principles.list when you have a specific topic in mind rather than wanting all principles.
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  • General search tool. This is your FIRST entry point to look up for possible tokens, entities, and addresses related to a query. Do NOT use this tool for prediction markets. For Polymarket names, topics, event slugs, or URLs, use `prediction_market_lookup` instead. Nansen MCP does not support NFTs, however check using this tool if the query relates to a token. Regular tokens and NFTs can have the same name. This tool allows you to: - Check if a (fungible) token exists by name, symbol, or contract address - Search information about a token - Current price in USD - Trading volume - Contract address and chain information - Market cap and supply data when available - Search information about an entity - Find Nansen labels of an address (EOA) or resolve a domain (.eth, .sol)
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  • Execute a SQL query on Baselight and wait for results (up to 1 minute). The query executes and returns the first 100 rows upon completion, or info about a pending query that needs more time. Use DuckDB syntax only, table format "@username.dataset.table" (double-quoted), SELECT queries only (no DDL/DML), no semicolon terminators, use LIMIT not TOP. If query is still PENDING, use `sdk-get-results` to continue polling. If totalResults > returned rows, use `sdk-get-results` with offset to paginate.
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  • Look a Proto-Scythian lemma up on Wiktionary and return its senses plus its full descendants payload — the reconstructed etymology and the reflex tree down to Ossetian and Khotanese, attested scholarship, not invention. Plain ASCII spellings are folded to the reconstruction's diacritics and the result notes the resolution. With search_language='eng' the query is an English word instead: the result lists the lemmas whose glosses match it (the translations block) plus their expanded entries. Returns Markdown plus the same result as structuredContent matching the declared outputSchema. Results are cached server-side; first-time queries reach the live upstream politely and calls are rate limited — on a rate-limit error, wait a few seconds and retry. Content is from en.wiktionary.org (CC BY-SA 4.0 — attribute and share alike if republished).
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  • Pro-tier. Run many GEO-principle searches in one call — embeddings are batched and vector searches parallelized. INPUT: queries (array of 2-100 natural-language strings, each 3-500 chars); optional top_k_per_query (1-10, default 5) and category filter. RETURNS: JSON with a results array (per query: the query, its matched principles, and a count), plus total_queries, total_matches and processing time. USE WHEN you need many lookups at once, e.g. a full-site audit or a keyword list, instead of repeated search_principles calls.
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  • Query SEC filings and financial documents from US capital markets and exchanges. This tool searches through 10-K annual reports, 10-Q quarterly reports, 8-K current reports, proxy statements, earnings call transcripts, investor presentations, and other SEC-mandated filings from US companies. Use for questions about US company financials, executive compensation, business operations, or regulatory disclosures. Limited to official SEC filings and related documents only.
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  • List available MCP tools and get detailed help. Use this tool to discover what tools are available and how to use them. Call without parameters to see all tools, or provide a tool name to get detailed help including parameters, examples, and related tools.
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  • General search tool. This is your FIRST entry point to look up for possible tokens, entities, and addresses related to a query. Do NOT use this tool for prediction markets. For Polymarket names, topics, event slugs, or URLs, use `prediction_market_lookup` instead. Nansen MCP does not support NFTs, however check using this tool if the query relates to a token. Regular tokens and NFTs can have the same name. This tool allows you to: - Check if a (fungible) token exists by name, symbol, or contract address - Search information about a token - Current price in USD - Trading volume - Contract address and chain information - Market cap and supply data when available - Search information about an entity - Find Nansen labels of an address (EOA) or resolve a domain (.eth, .sol)
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  • Returns the full relationship graph for a given Lexicon term. Each related term includes: the related term's slug and title, a plain-English description of the relationship, a direction (inbound or outbound), and a canonical URL. Read-only. No LLM calls. Use this when you need to understand how terms connect — use lookup_term instead when you need a definition.
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  • Trace a recall to its candidate manufacturing facility with explicit confidence levels. Matches by firm name, NDC lookup, and facility registration data. Returns the recall details, matched facility candidates with FEI numbers and confidence scores, and match methodology. Requires: recall_number from fda_search_enforcement or fda_ires_enforcement. Related: fda_get_facility (full detail for matched FEI), fda_inspections (inspection history for matched FEI), fda_compliance_actions (warning letters for matched FEI).
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  • Search Blueprint principles by free-text query and return the closest matches ranked by relevance. Use this to find principles related to a specific design challenge, failure mode, or keyword (e.g. 'reversibility', 'approval flow', 'delegation boundary'). Returns principle title, cluster, definition, rationale, and implementation heuristics. Prefer this over principles.list when you have a specific topic in mind rather than wanting all principles.
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  • Look an Old Norse word up on Wiktionary and return its senses plus full declension/conjugation tables — attested content (including the verbs' mediopassive voice), not invented. Any form of the word works; an inflected query is resolved to its lemma automatically via previously cached paradigms and the result notes the resolution. With search_language='eng' the query is an English word instead: the result lists its per-sense Old Norse equivalents (the translations block) plus their expanded entries. Returns Markdown plus the same result as structuredContent matching the declared outputSchema. Results are cached server-side; first-time queries reach the live upstream politely and calls are rate limited — on a rate-limit error, wait a few seconds and retry. Content is from en.wiktionary.org (CC BY-SA 4.0 — attribute and share alike if republished).
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  • Look an Old Norse word up on Wiktionary and return its senses plus full declension/conjugation tables — attested content (including the verbs' mediopassive voice), not invented. Any form of the word works; an inflected query is resolved to its lemma automatically via previously cached paradigms and the result notes the resolution. With search_language='eng' the query is an English word instead: the result lists its per-sense Old Norse equivalents (the translations block) plus their expanded entries. Returns Markdown plus the same result as structuredContent matching the declared outputSchema. Results are cached server-side; first-time queries reach the live upstream politely and calls are rate limited — on a rate-limit error, wait a few seconds and retry. Content is from en.wiktionary.org (CC BY-SA 4.0 — attribute and share alike if republished).
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  • Look a word up in the real Livonian–Estonian–Latvian dictionary and return only attested content, so translations are grounded, not invented. Search a meaning (in English/Latvian/Estonian) to find the Livonian headword, or a Livonian word to confirm it exists and read its sense, part of speech and examples. See the `query` and `search_language` parameter docs for how to phrase a query. By default each match's full inflection table is returned inline, so one call usually suffices; on a broad query only the first N tables expand (the rest are listed as handles to fetch with get_inflections). Returns Markdown plus the same result as structuredContent matching the declared outputSchema. Results are cached server-side, so repeating a query is instant and free; a first-time query reaches the live dictionary and calls are rate limited — on a rate-limit error, wait a few seconds and retry instead of re-issuing immediately. Dictionary content is from livonian.tech (CC BY-SA 4.0 — attribute if republished).
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