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649,985 tools. Updated 2026-10-11 02:29

"Indexing a codebase for accessible contextual queries" matching MCP tools:

  • Trigger semantic indexing for a dataset — required before using dataset.chunks (Pro+ plan). Starts an async indexing job that splits the dataset into RAG-ready text chunks, generates embeddings, and stores them for semantic search. Indexing is idempotent: calling it again on an already-indexed dataset re-indexes with fresh embeddings. Indexing typically completes in 10–60 seconds depending on dataset size. After indexing, use dataset.chunks(dataset_id) to retrieve the text chunks. Args: dataset_id: ID of the built dataset to index (from job.status after dataset.build).
    ConnectorNo auth
  • Use this to retrieve Google Search Console search performance (clicks, impressions, CTR, average position) for one property. With no dimensions it returns property totals. Add dimensions to break results down by date, hour, query, page, country, device or searchAppearance, and filters to narrow to specific queries, pages, countries, devices or search appearances (for example mobile traffic to pages containing '/blog/'). search_type selects web (default), image, video, news, discover or googleNews results; discover and googleNews have no queries. For what happened in the last hours or days, group by hour (data_state 'hourly', last 10 days only, preliminary). Dates are Pacific Time. If no dates are given it uses the last 28 finalized days (or yesterday and today for hourly) and reports the exact dates it used. Covers one period at a time. Rows are bounded (default 20, max 100); page through with the returned cursor. Google returns only top rows for query/page breakdowns, so results are not guaranteed to be complete, and a missing row does not mean zero. Figures are observed values and do not identify causes. Read-only; cannot request indexing or change anything in Search Console.
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  • The COMPLETE list of domains a country blocks nationally (confirmed across >=3 independent networks) — the core 'what does country X block?' product. Returns restriction_map (full domain list), partial_map (sub-national 1-2 network blocks), and confirmed_block_layer (data-recency window). Use this for a full report; for a single domain use check_domain_blocked, for a summary use get_country_profile. HONEST: includes legal gambling/piracy blocks (not only political); a domain NOT listed is accessible OR not measured (absence is not 'accessible'); China under-counted (GFW=anomaly).
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  • <tool_description> Check nDSG/GDPR/EU AI Act compliance status for a media buy. Verifies privacy-native architecture compliance. </tool_description> <when_to_use> Before activating a campaign or for compliance audits. Checks: no cookies, no fingerprinting, contextual targeting, data residency, revenue transparency, consent basis, agent transparency. </when_to_use> <combination_hints> create_media_buy → get_compliance_status → activate (if compliant). Use for regulatory reporting and audit trails. </combination_hints> <output_format> Overall compliance status + individual check results with details. </output_format>
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  • Fetch a public business website page and return structured, accessible facts for a buyer-readiness review. It only examines the supplied public URL and does not scrape review platforms or private systems.
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  • Use this when the user wants to search documents across every accessible Space rather than one known Space. Read-only: returns matching titles, snippets, Space details, and URLs for a query without changing content.
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  • Build websites and apps with your AI agent. Get a live preview, ask for changes, keep the code. Builds use your account's credits. Publishing needs an API key with the appropriate permission and never happens automatically. https://codebase.design/agents

  • AI agents hire a human to observe, log or film on site. Typed results, feasibility before payment.

  • Application polling for an already-mounted OffStereo card. It refreshes one PlayableSession in place. A selected library story opens through make_playable(existingSessionId), while playback and contextual follow-ups use steer_session.
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  • Get the explicitly active sprint for one accessible team. Returns item: null if none is active; never guesses from dates.
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  • List competitions accessible on your plan. Free tier: 12 majors. Use the returned `code` (e.g., "PL", "PD", "CL") for downstream calls.
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  • Answer "is this network caught up?" with indexing freshness, lag, heads, and available tables. COMMON USER ASKS: - Is Base caught up? FIRST CHOICE FOR: - checking indexing head, lag, tables, and capabilities for one network WHEN TO USE: - You want to know whether a network is indexed, fresh, caught up, or behind before querying. - You need chain family, real-time status, or available tables for a network. DON'T USE: - You only need the latest block or slot number. EXAMPLES: - Is Base caught up?: {"network":"base-mainnet"}
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  • List standard PaperDock projects accessible to the connected account, including its current role and effective MCP capabilities for each. Use projectId only for subsequent tool calls and do not show it unless explicitly requested.
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  • Poll the status of an async job (extract, indexing, batch). Free — no credits consumed. Use after add_document_to_collection or async extract to check when processing completes. Poll this endpoint in a loop until status is "complete" or "failed". Completed jobs include the bundle_id or result_json in the response. Jobs are created when you POST /v1/extract with a webhook, or when add_document_to_collection triggers async indexing. Returns: { id, type: "extract"|"extract_batch"|"index_collection", status: "queued"|"processing"|"complete"|"failed"|"cancelled", progress_pct: number (0–100), progress_message, bundle_id (when complete), result_json (when complete), error (when failed), created_at, completed_at } Example prompts: - "Check the status of my indexing job job_550e8400." - "Is my async extract job done yet?" - "Poll job [job_id] — what is the current progress?"
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  • Add an evidence bundle to a collection and trigger async vector indexing. Use after create_collection to populate a collection with documents. Once indexed, documents become searchable via search_collection and ask_collection. Indexing is async — poll get_job_status with the returned job_id until status is "complete". PREREQUISITE: Bundle must have status "complete" (check with get_bundle). Collection must be owned by your API key. Returns: { collection_id, bundle_id, job_id (poll for indexing completion) } Example prompts: - "Add my contract bundle ev_550e8400 to the Q4 Contracts collection." - "Put this evidence bundle into my Due Diligence Docs collection for search." - "Add document [bundle_id] to collection [col_id] with a title."
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  • Poll the status of an async job (extract, indexing, batch). Free — no credits consumed. Use after add_document_to_collection or async extract to check when processing completes. Poll this endpoint in a loop until status is "complete" or "failed". Completed jobs include the bundle_id or result_json in the response. Jobs are created when you POST /v1/extract with a webhook, or when add_document_to_collection triggers async indexing. Returns: { id, type: "extract"|"extract_batch"|"index_collection", status: "queued"|"processing"|"complete"|"failed"|"cancelled", progress_pct: number (0–100), progress_message, bundle_id (when complete), result_json (when complete), error (when failed), created_at, completed_at } Example prompts: - "Check the status of my indexing job job_550e8400." - "Is my async extract job done yet?" - "Poll job [job_id] — what is the current progress?"
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  • Add an evidence bundle to a collection and trigger async vector indexing. Use after create_collection to populate a collection with documents. Once indexed, documents become searchable via search_collection and ask_collection. Indexing is async — poll get_job_status with the returned job_id until status is "complete". PREREQUISITE: Bundle must have status "complete" (check with get_bundle). Collection must be owned by your API key. Returns: { collection_id, bundle_id, job_id (poll for indexing completion) } Example prompts: - "Add my contract bundle ev_550e8400 to the Q4 Contracts collection." - "Put this evidence bundle into my Due Diligence Docs collection for search." - "Add document [bundle_id] to collection [col_id] with a title."
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  • Look up wheelchair-accessible / multipurpose toilets inside a train station, including floor, gender, equipment (wheelchair, ostomate, diaper table) and the nearest exit. Covers 526 Tokyo stations (Tokyo Bureau of Social Welfare data). Major stations outside Tokyo (Yokohama, Kawasaki, Omiya, Chiba, Fujisawa, Shin-Yokohama…) return an in-station layer that groups accessible toilets by ticket gate — inside vs outside — per railway operator. Accepts Japanese (新宿, 横浜) or romaji (Shinjuku, Yokohama) for major stations.
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  • Read-only file metadata operations on Quadratic files the user has access to. No data is modified. Requires authentication. Actions: • list_files() — List all accessible files. • get_file_info(file_id) — Get metadata for a single file.
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  • Look up wheelchair-accessible / multipurpose toilets inside a train station, including floor, gender, equipment (wheelchair, ostomate, diaper table) and the nearest exit. Covers 526 Tokyo stations (Tokyo Bureau of Social Welfare data). Major stations outside Tokyo (Yokohama, Kawasaki, Omiya, Chiba, Fujisawa, Shin-Yokohama…) return an in-station layer that groups accessible toilets by ticket gate — inside vs outside — per railway operator. Accepts Japanese (新宿, 横浜) or romaji (Shinjuku, Yokohama) for major stations.
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  • AEO/GEO Agent Visibility Auditor. Audit any third-party API endpoint for x402 compatibility, schema compliance, robots.txt indexing accessibility, and LLM tool calling clarity. [PAID: $0.75 USDC per call via x402 on Base. First call without payment_signature returns the payment requirements.]
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  • Pure semantic (vector) search — best for paraphrased queries, concept exploration, "papers arguing X" type questions. Uses dense vector similarity via Gemini or SPECTER2 embeddings. Skips BM25 fusion which can introduce term-matching noise. For exact terms use "search_keyword". For mixed queries use "search".
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  • List the authenticated user's accessible blogs so later tool calls can target the right blogId.
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