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650,521 tools. Updated 2026-10-14 00:42

"Documentation for the Go programming language" matching MCP tools:

  • Search open grant opportunities from Kindora's active foundation-program corpus plus federal and state government grants. FOR-PROFIT APPLICANTS: pass for_profit_applicant=true to search capital a for-profit can take (PRIs, loans, revenue-based financing, patient equity) from CDFIs, impact investors, and PRI-active foundations. The default pool is 501(c)(3)-shaped and will NOT contain those programs. Searches both private foundation grant programs (from IRS data and funder websites) and government grant opportunities — federal (Grants.gov) plus state and district grant portals. Uses full-text search with natural language understanding — queries are parsed into individual terms with stemming, so "youth after school programs" matches programs about youth, after-school, and programming even if those exact words don't appear together. Search covers program names, descriptions, focus areas, beneficiary types, and geographic focus fields. Use the state parameter to focus on geographically relevant opportunities. Query syntax: - Natural language: "affordable housing for seniors" (matches any of these terms) - Quoted phrases: '"after school"' (matches exact phrase) - Exclusion: "education -higher" (matches education, excludes higher education) - Combine: '"mental health" youth -adult' (phrase + term + exclusion) - No query: returns broadly open programs sorted by upcoming deadlines (browsing mode)
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  • Answer an odds question about a fixture in ONE call (natural language in, worked line out). Resolves the fixture, picks the consensus line, the best price per outcome across books, and de-vigged fair odds from the sharpest book — returning a ready-to-read ``summary`` plus the full ``comparison``. Prefer this over chaining find_match → compare_lines. Args: query: natural-language fixture, e.g. "Arsenal vs Man City" or a single team. market_type: "1x2", "asian_handicap" (default) or "totals". period: "full_time" (default) or "half_time". format: odds format — decimal | hk | malay | american | indonesian | probability. sport: optional filter — "football" or "basketball". date: optional UTC date "YYYY-MM-DD" to disambiguate same-name fixtures. verbosity: "full" (default) or "terse". "terse" empties the per-book ``books`` array inside ``comparison`` to save tokens; the ``summary`` and worked numbers are kept either way. On an ambiguous query, ``status`` is "ambiguous" and ``ask_user`` carries a disambiguation prompt — do not assume a match; ask the user or re-call with a more specific query. A ``decision`` block (``safe_to_proceed`` / ``ask_user`` / ``next_action``) pre-computes the go/no-go — branch on it instead of re-judging the result.
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  • Search the RoxyAPI knowledge base and get back ranked documentation snippets, each with a source URL. It covers API endpoints with their request and response fields, SDK usage for TypeScript, Python, PHP, C#, and Go, the WordPress plugin, authentication and API keys, UI components, and step by step integration guides. Call this first whenever you need to integrate RoxyAPI into an app: to find which endpoint or SDK method to use, what parameters a call takes, how to authenticate, or how to wire a feature end to end. Pass the user question verbatim as `query`. If the first results miss, rephrase once and retry.
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  • Check locally which products a marketplace will refuse and why — missing price, unusable price, blank name, unmapped category — grouped by what fixes them, without calling the marketplace. The response separates `blocked` (these products do NOT go out) from `warnings` (these DO go out, but probably will not be published as the merchant expects: a price in a currency the platform does not name, no words of their own in a language the channel reads, a placeholder description, characteristics the marketplace does not recognise). Local checks exist for prom, rozetka, google_merchant and olx; other platforms report their connection state through get_marketplace instead. If the channel is not connected the call fails with NOT_FOUND ("<channel> is not connected in this workspace") instead of reporting an empty channel — use list_marketplaces to see which are connected. This never publishes anything: it reports what would happen.
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  • Use this when someone asks to permanently delete a blog post in every language. Given the original post's id, that post and all its translations are deleted and their pages go offline; given a translation's own id, nothing is deleted although the result still says deleted. Returns the id. Not for unpublishing.
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  • Use this when someone asks to permanently delete a blog post in every language. Given the original post's id, that post and all its translations are deleted and their pages go offline; given a translation's own id, nothing is deleted although the result still says deleted. Returns the id. Not for unpublishing.
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Matching MCP Servers

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    Provides AI agents with local Dutch spelling and word validation using OpenTaal/hunspell, plus detailed word information from woordenlijst.org. It enables checking full texts or individual words and retrieving linguistic details for Dutch writing tasks.
    5
    1 npm
    MIT

Matching MCP Connectors

  • MCP server for Vonage API documentation, code snippets, tutorials, and troubleshooting.

  • Turn a website URL into a 9:16 AI UGC video ad: see a sample, or create finished videos.

  • Read or search ClearPolicy documentation pages via a sandboxed virtual filesystem (rg, cat, head, tree, ls, etc.). Prefer search-docs for conceptual questions; use this when you need exact page content, keyword/regex matches, or docs structure. Paths are documentation pages (e.g. /guides/reminders.mdx), not the customer organization.
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  • Search Gonka documentation. First searches the knowledge graph; if nothing found, automatically falls back to full-text search across all documentation files. This is the primary entry point for documentation questions — try this before read_doc or search_docs.
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  • OVATION model aurora forecast for the next ~30–60 min: global grid of aurora probability percentages by latitude/longitude (1° resolution). With optional coordinates, returns the local aurora probability at the nearest grid point, the geomagnetic latitude those coordinates convert to, the minimum Kp and G level needed for aurora at that geomagnetic latitude, the sun’s elevation there at the forecast time (aurora is not visible in daylight), the strongest aurora within 1000 km poleward (visible low on the horizon when bright), and a plain-language go/no-go verdict. Without coordinates, returns only global metadata. Data updates every ~5 minutes. Supply coordinates as geographic (WGS84); aurora bands are geomagnetic, and the tool converts between them.
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  • Query any website's documentation and get cited, multi-page answers in natural language. Use ask_site when you need: (1) answers that synthesize information across multiple pages of a site, (2) documentation from JS-rendered sites (React, Next.js, Vue SPAs) where web_fetch returns empty or partial HTML, (3) citations linking back to the exact source pages, (4) faster results than fetching and reading individual pages one by one. For sites not yet indexed, ask_site auto-crawls and answers in ~60s — no separate submit_site call needed.
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  • Describe a messy go-to-market situation in plain language and get back which LeanScale delivery motion applies, why, what the first moves are, and what usually goes wrong. Use this when someone describes a problem rather than asking about a topic — 'our reps don't trust the forecast', 'we just merged two CRMs', 'inbound leads take three days to get worked'. Better than search when the ask is 'what should we do about this?'
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  • Get Moxie's summary of how THIS repository organizes and maintains documentation - where docs live relative to code and how they are kept current. Read-only; no side effects. Returns a Markdown list of pattern entries, each with a title, explanation, and source citations. Use this to decide WHERE a new doc should go before calling propose_doc_update; for the list of WHICH docs need work, use get_documentation_opportunities instead.
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  • Get Moxie's summary of how THIS repository organizes and maintains documentation - where docs live relative to code and how they are kept current. Read-only; no side effects. Returns a Markdown list of pattern entries, each with a title, explanation, and source citations. Use this to decide WHERE a new doc should go before calling propose_doc_update; for the list of WHICH docs need work, use get_documentation_opportunities instead.
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  • List the language editions available for a Wikipedia article. Returns language codes, article titles in each language, and full URLs. Useful for cross-language research and for discovering the correct article title in a target language before fetching it. A popular article exists in hundreds of editions, so pass editions to narrow the answer to the codes you care about — the codes with no article come back under missing, and total_languages still reports the full count. Redirect pages are followed automatically, and source_title reports the resolved article the links belong to. The language parameter specifies which edition to query from.
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  • List all 71 available programming languages and their IDs for code execution. Common IDs: 71=Python 3.8, 63=JavaScript (Node.js), 62=Java, 54=C++ (GCC), 60=Go, 73=Rust, 51=C#, 46=Bash. Returns full list with compiler/interpreter versions (Judge0 CE)
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  • Search the INDEPENDENT Marginalia web index — a separate crawler that favours text-heavy, ad-light, non-commercial pages: personal sites, technical writing, documentation, forums, academic and hobbyist pages. Use it when mainstream search results are dominated by SEO content, listicles, and marketing pages, or when you want a second opinion from an index that is NOT Google/Bing-derived (unlike serper_search / exa_search / serpapi). Especially good for programming and niche technical topics, obscure or historical subjects, and finding primary/hobbyist sources. Returns url, title, description, a quality score, and how many other results share the domain. Weak for breaking news, e-commerce, and mainstream/celebrity topics — use serper_search for those. Results are CC-BY-NC-SA 4.0 licensed; the licence is returned with every response.
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  • Cheap live decision ($0.05): action (STRONG_BUY..STRONG_SELL), direction, conviction, a GO/WAIT answer for a side, the stance of each pillar and the measured hit rate. Same engine as get_decision on the full server /mcp ($1), without the trade plan, execution check, evidence and risks. Use as the default decision; decision.pre_trade answers only go/no-go timing for a side, decision.sample is free but an hour old.
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  • Cheap live decision ($0.05): action (STRONG_BUY..STRONG_SELL), direction, conviction, a GO/WAIT answer for a side, the stance of each pillar and the measured hit rate. Same engine as get_decision on the full server /mcp ($1), without the trade plan, execution check, evidence and risks. Use as the default decision; decision.pre_trade answers only go/no-go timing for a side, decision.sample is free but an hour old.
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  • Set a brand's DESCRIPTION in ONE language, leaving every other language as it is; null or an empty description removes that language. Translate the text yourself — Obriym does not translate for MCP clients. Never translate a brand NAME: marketplaces match it verbatim. Call list_content_locales first; the workspace's base language is refused (use update_brand for it). update_brand's translations field REPLACES the whole set, so use this tool to change a single language. Idempotent. Returns a warning when the CRM does not show that language yet. Echoes the workspace.
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  • Active trading signals for the current user (with Skill Overlay applied), in customer-facing shape: coordinates (entry/target/stop), decision (ENTER/WAIT/SKIP — is_actual_trigger=true only for ENTER; WAIT/SKIP are standing candidates, not executed triggers), action_gate posture (GO/WATCH/HOLD — a stance, not an order command), progress, MTF verdict, and a plain-language summary_ko line. risk_reward_ratio is computed on the DISPLAYED coordinates (after overlay). Signals are retained rather than cut when they age (turn-retention policy) — read freshness_state (open|aged) / age_bars / freshness_sec before treating an old PENDING row as current. Filtered by symbols / min_progress / action_gate — action_gate here filters the CURRENT-MOMENT representative state, it does not search history (almost always 0 rows unless a gate is GO right now); for past GO events with their entry/target/stop and realized performance use decker.get_trigger_history instead. Before placing any order through any execution tool, check the intent with decker.validate_intent.
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  • USE WHEN reading the full content of a Pine Script v6 documentation file. Returns the file content; when limit is set, a header shows the char range and offset to continue reading. AFTER calling this tool, use offset=<end> to continue if the header indicates more content is available. For large files (ta.md, strategy.md, collections.md, drawing.md, general.md), prefer list_sections() + get_section() instead. Data sourced from bundled Pine Script v6 documentation.
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