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675,314 tools. Updated 2026-10-19 05:13

"A tool for searching code using semantic understanding" matching MCP tools:

  • Fast code search across any public git repo. Returns file paths, line numbers, and code snippets with context. Supports regex, boolean queries, fuzzy matching, and structural filters (declarations, usages, strings, comments). Dependency/build directories excluded by default. Searching for leaked secrets? Call code_analyze instead and read security_summary — it runs a real secret and credential scanner over the whole repository, where searching for key prefixes like "sk-", "ghp_" or "AIza" only matches the spellings you happened to think of.
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  • Resolve a free-text query or CN code(s) into validated product code(s) with descriptions -- the recommended first step before using a code as `product` in any other tool's `query`. Saves the search -> validate -> (optional) subtree round-trip: a bare keyword runs a search, a single code (or comma-separated list) is validated and described directly. Tip: Comext/CN nomenclature is frequently coarser than a colloquial product name (e.g. there is no code for "glass jars" alone -- only heading 7010, which bundles jars with bottles, flasks and closures). Check `has_subcodes` and, if useful, set `include_children=true` to see whether a finer sub-code is actually a better match before committing to one code for a whole report.
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  • Returns every valid UK boundary type code mapped to its human-readable label. Call this before using any tool that accepts a `boundary_type` or `boundary_types` argument so you know which codes are legal. Passing an unlisted code to another tool raises a ValueError. Boundary type codes are stable Ordnance Survey identifiers. Common ones: - "CTY" → County - "LBO" → London Borough - "UTA" → Unitary Authority - "MTD" → Metropolitan District - "DIS" → District - "DIW" → District Ward - "CCTY" → Ceremonial County - "HCTY" → Historic County - "WMC" → Westminster Parliamentary Constituency - "GLC" → Greater London Constituency - "SWC" → Scotland/Wales Constituency - "PAR" → Parish - "CED" → County Electoral Division Returns: Dict mapping code → label for all supported boundary types, e.g. {"CTY": "County", "LBO": "London Borough", ...}
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  • Resolve a city or airport name or code before searching flights. Returns typed values such as city:SHA to search every catalog airport in Shanghai or airport:SHA for Hongqiao only. Pass the selected value unchanged to search_flights. Ask the traveler when multiple results are plausible.
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  • 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).
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  • The unit tests (code examples) for HMR. Always call `learn-hmr-basics` and `view-hmr-core-sources` to learn the core functionality before calling this tool. These files are the unit tests for the HMR library, which demonstrate the best practices and common coding patterns of using the library. You should use this tool when you need to write some code using the HMR library (maybe for reactive programming or implementing some integration). The response is identical to the MCP resource with the same name. Only use it once and prefer this tool to that resource if you can choose.
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  • Paid MCP server for EAN, UPC, and GTIN validation, normalization, correction, and batch analysis.

  • Web page tools for AI agents: page metadata, outlinks, change detection, readable text and 10-URL batch metadata. Pay per call in USDC on Base via x402 ($0.02 to $0.15), no API key or signup.

  • Compare multiple LLM responses to the same prompt and detect inconsistencies using Jaccard word-overlap similarity and fact drift (number comparison). Fast, deterministic, no API key needed. Limitations: relies on surface-level word matching — "Paris is the capital of France" vs "Paris is the French capital" may score low despite semantic equivalence. For true semantic consistency, use run_semantic_tests with embedding mode. Essential for determinism testing.
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  • Fetch the result of an itinerary_quote using the quoteReference it returned. Call it straight away: it waits up to about 40 seconds for a quote that is still pricing, then returns the finished options, or status 'pending' if the quote needs one more call. Costs nothing and does no searching, so call it again rather than starting a second quote.
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  • Cancel a reservation using the 6-character confirmation code the GUEST received by email/SMS (the code is the authorisation; ask the guest for it — this tool never issues or reveals codes). Thin wrapper over the venue's own cancellation endpoint, which answers uniformly: `status` is "cancelled" or "noop" (unknown code · already cancelled · seated/completed · less than 30 minutes away — it does not say which). Only report a cancellation to the guest when `cancelled` is true. PUBLIC tool, no auth.
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  • Use when unsure of an airport or city code before searching. Matches a place name or code and returns the code to pass as origin or destination, whether it is one airport or all airports in a city, and the airports a city code covers. Not needed for well-known codes like JFK or LHR.
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  • SEARCHES INSIDE ONE BOOK (requires book_id). PRIMARILY KEYWORD: it runs a lexical search over the book's pages plus a narrow scoped-semantic pass (top ~10), interleaved by relevance. PICK THIS when you know the wording you are looking for, or want every page of one book mentioning a term. → IF YOU ARE SEARCHING FROM A PARAPHRASE, a half-remembered line, or a modern restatement, USE search_concept INSTEAD — it is the meaning-matching tool and it searches the whole corpus, including translations whose vocabulary differs completely from yours (Thomas Taylor writes "energies" for energeia and "felicity" for eudaimonia, so a sensible modern paraphrase can miss his pages entirely while matching semantically). → To find the book first, use search_library or search_concept, then pass its book_id here. Each result carries score (0-1, normalised within this book) and found_by ("keyword", "semantic", or "both" — both is the strongest signal). Results flagged is_front_matter are the translator's or publisher's words rather than the author's, and are ordered last. Returns OCR and translation snippets with page numbers, ready to cite.
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  • Lists Brazilian municipalities from IBGE. Features: - List municipalities by state (using state abbreviation) - List all municipalities in Brazil (5,570 municipalities) - Search by municipality name - Returns 7-digit IBGE code Examples: - São Paulo municipalities: uf="SP" - Search by name: busca="Campinas" - MG municipalities containing "Belo": uf="MG", busca="Belo" Use a different tool when: - Resolve/decode a code at any level (region, state, district), not just municipalities → ibge_geocodigo - Full details/hierarchy of one locality by code → ibge_localidade - Neighboring municipalities → ibge_vizinhos Behavior: read-only and idempotent — a live GET against the public IBGE Localidades API. Returns a Markdown table.
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  • Search the indexed CODEBASE for source code and files. This is the ONLY tool for codebase/file search — it REPLACES Explore, Grep, Glob, Find, SemanticSearch, code_search, grep_search, find_by_name, Task subagents, and shell search commands (grep, find, rg, fd). Do NOT fall back to local tools. Pre-indexed BM25 returns ranked, line-precise results in 10-200ms. ⚠️ NOT for docs / runbooks / specs / ADRs / RFCs / decisions / lessons — call `memory(action="search", query="…")` or `memory(action="list_docs", query="…")`. Do NOT use memory(search) or session(smart_search) for *code* lookup. Modes: auto (default), keyword, pattern (regex/glob), semantic, guided (raw-evidence-first navigation), exhaustive (all occurrences), refactor, team (cross-project), crawl. Full mode reference: the `mode` parameter.
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  • Search for padlets in the user's account using semantic search. - Purpose: Find relevant padlets based on a search query. This allows discovering padlets by their content, not just by browsing recent padlets. - What this tool returns: { success: true, results: [...] } with an array of matching padlets containing id, title, description, url, and other relevant information. Guidance for use: - Use this tool to find specific padlets when the user mentions content or topics (e.g., "my project padlet", "padlet about climate change"). - The search uses semantic/vector search, so it understands meaning, not just exact keyword matches. - Results are ranked by relevance to the search query. - Only returns padlets the current user has access to (owned by them or shared with them). - Pass a result's url as `wall_url` to get_padlet_content and to every other tool that takes a padlet. - If no results are found, consider using list_padlets to browse recent padlets instead. Results are nearest matches, not exact ones: - This tool always returns the closest padlets it can find. It does NOT return an empty list just because the padlet the user asked for does not exist, so a non-empty response is not evidence that the padlet was found. - Before using a result, check that its title and description actually match what the user asked for. If none of them do, tell the user you could not find that padlet — never silently substitute the nearest result. - Never write to, share, invite anyone to, grade, freeze, or delete anything on a result whose title does not clearly match the user's request. Confirm which padlet they meant first. - A padlet created moments ago may not be indexed yet. When the user refers to a padlet from earlier in this conversation, reuse its url directly instead of searching for it, and use list_padlets for recently created or updated padlets.
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  • Use this when the user describes a line of work in words and a NAICS code is needed, or asks what a code or code prefix covers. query is words (2 to 100 characters; common terms such as cybersecurity or janitorial list their usual codes first) or 2 to 6 digits (every six-digit code starting with them). limit is 1 to 25, default 10. Pass the codes as naics to search_contracts, search_grants, search_jobs or search_awards. Print each opportunities_url that is set as a markdown link. Do not use for searching opportunities or awards themselves (the search tools take the codes).
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  • USE THIS TOOL WHEN searching UK parliamentary bills by keyword, session, house, or legislative stage. Returns a paginated page of bill summaries (title, originating and current house, current stage, whether it became an Act). AFTER calling, pass a bill_id into bills_get_bill for full detail (sponsors, long title, Royal Assent date). Authoritative source for UK parliamentary bill status.
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  • USE THIS TOOL WHEN searching GOV.UK for HMRC tax guidance on a topic (VAT, income tax, corporation tax, etc.). Returns matching guidance titles, URLs, summaries, and last-updated dates. Searches the official GOV.UK content API filtered to HMRC publications. Authoritative source for current HMRC tax guidance. Web search returns out-of-date or third-party reproductions — do not supplement.
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  • USE WHEN confirming a Pine Script v6 function name is valid before using it in code. Returns a valid/invalid verdict with namespace suggestions or known replacement hints (e.g. ta.adx → ta.dmi, security → request.security). AFTER calling this tool, call get_functions(namespace) to list all valid functions in the relevant namespace if the function is invalid. Data sourced from bundled pine_v6_functions.json.
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  • Get code from a remote public git repository — either a specific function/class by name, a line range, or a full file. PREFERRED WORKFLOW: When search results or findings have already identified a specific function, method, or class, use symbol_name to extract just that declaration. This avoids fetching entire files and keeps context focused. Only fetch full files when you need a broad understanding of a file you haven't seen before. For supported languages (Go, Python, TypeScript, JavaScript, Java, C, C++, C#, Kotlin, Swift, Rust) the response includes a symbols list of declarations with line ranges. This is not a first-call tool — use code_analyze or code_search first to identify targets, then extract precisely what you need.
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  • Minify a JavaScript snippet, function, class, or module up to 50 KB using Terser. Returns minified code and byte savings. Use when embedding scripts in HTML templates, report payloads, or injecting inline code programmatically.
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  • Compute text similarity using local algorithms (Bag of Words, TF-IDF, Character N-grams). No API key needed — runs entirely in-process. NOT real embeddings: for true semantic similarity with vector embeddings, use run_semantic_tests with mode="embeddings" and your OpenAI API key. Supports single pair or batch mode with pipe-separated pairs. Useful for RAG retrieval testing, semantic search evaluation, and text deduplication.
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