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465,907 tools. Updated 2026-08-19 09:12

"A server for finding information about Rust (programming language, game, or oxidation process)" matching MCP tools:

  • Returns a 0-100 developer momentum score for TypeScript, Python, Rust, and Go (30-day new-repo creation via GitHub Search API, normalized to a 100k ceiling; hourly, history since 2016) with trend, confidence, top_drivers, per_language breakdown, and total_new_repos_30d. Call when the user asks about programming language popularity, adoption trends, developer ecosystem growth, or open-source activity, or when timing devtools GTM, developer-marketing spend, or language-community sponsorships. Updates: hourly.
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  • Discover content franchises within a domain. Two modes: pass `tag` for a precise taxonomy match (every game tagged 'co-op'), or pass `query` for free-text SEMANTIC search powered by pgvector embeddings — finding franchises by meaning ('dark atmospheric games about isolation') even when no literal tag matches. Results are verifiable: tag mode carries tag confidence/corroboration, semantic mode carries a similarity score; both carry entity freshness. When to use: an agent wants a domain-scoped shortlist by tag or by intent. Inputs: a domain plus either a tag or a free-text query.
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  • Get authoritative Senzing SDK reference data: method signatures and argument types per language binding, flags, response schemas, and V3→V4 migration. Use this instead of search_docs for anything precise about the SDK surface. Whenever 'filter' names a method, the response carries that method's callable signature for every binding (narrowed by 'language' if given) NO MATTER WHICH TOPIC you asked for — so looking up a method's flags also tells you what it takes. Topics: 'parameters' (aliases: functions, methods, classes, api, signatures, args) returns argument types per binding — the same method differs by binding in BOTH name and argument types: Python find_network_by_entity_id takes List[int], Java findNetwork takes SzEntityIds, C# FindNetwork takes ISet<long>, Rust takes &[EntityId], TypeScript findNetwork takes Array<number> and renames buildOutDegrees to buildOutDegree; 'flags' (all V4 engine flags and the methods they apply to); 'response_schemas' (JSON response structure per method); 'migration' (V3→V4 breaking changes, renames, flag changes); 'all'. 'filter' accepts any spelling — 'get entity', 'get_entity', and 'getEntity' all resolve. Pass 'language' (python/java/csharp/rust/typescript) to narrow to your binding; cross-binding divergence warnings are still included so you never translate a call between bindings by mistake
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  • Keyword search across the Pāli Tipiṭaka (trigram word-similarity). Searches the configured enabled language(s) on the server. Filterable by pitaka and translation edition. 💡 **Hints for the AI client:** The system's canonical reference is Romanised Pāli (from SuttaCentral). If the user asks in a disabled or unsupported language, translate the keyword to **Romanised Pāli (preferred) or English** before calling this tool — e.g. "suffering" → "dukkha", "mindfulness of breathing" → "ānāpānassati". See the server instructions for the enabled language set. 🔍 **Pick the right search tool for the question shape:** - **Term lookup (exact word appearances)** — e.g. "occurrences of `ānāpānassati`": this tool is best (trigram nails the exact word). - **Concept search ("discourses about X")** — e.g. "discourses about mindfulness of breathing": **use `search_hybrid` instead.** Canonical Pāli has two quirks that hurt keyword search for concepts: • Section headings (`Ānāpānapabba`) often use a different word than the teaching body, which uses verb forms (`assasati`, `passasati`, `dīghaṁ`, `rassaṁ`). E.g. DN22's Ānāpānapabba has 16 segments but the word `ānāpāna` appears in only 2 (header + footer) — the actual teaching segments won't match. • Stock phrases (e.g. `So satova assasati, satova passasati`) recur in 10+ suttas, so a keyword query ranks broadly and won't pinpoint the canonical reference. - **General keyword survey** — set `limit≥30` and filter client-side, or call multiple related forms (root verb + noun + compound).
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  • Discover content franchises within a domain. Two modes: pass `tag` for a precise taxonomy match (every game tagged 'co-op'), or pass `query` for free-text SEMANTIC search powered by pgvector embeddings — finding franchises by meaning ('dark atmospheric games about isolation') even when no literal tag matches. Results are verifiable: tag mode carries tag confidence/corroboration, semantic mode carries a similarity score; both carry entity freshness. When to use: an agent wants a domain-scoped shortlist by tag or by intent. Inputs: a domain plus either a tag or a free-text query.
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  • Connectivity check that confirms the Nordic MCP server process is responding. Use this at the start of a session to verify the server is reachable before making other calls. Do not use as a proxy for database health — the server can respond while the Qdrant vector database is temporarily unavailable. To confirm data availability, call search_filings directly. Returns: A greeting string: "Hello {name}! Nordic MCP server is running."
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    An MCP server that provides information about Utkarsh, including bio, skills, work experience, and portfolio projects, accessible via local stdio or remote HTTP with OAuth.
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Matching MCP Connectors

  • The Process Street MCP Server enables AI agents to query workflows, complete tasks, trigger runs, update form fields, search records, and pull structured operational data with full auditability. Built for compliance-first teams in financial services, healthcare, government, and enterprise operations.

  • Persistent project context — Rust-native MCP server. IANA-registered .faf format.

  • Ask a natural-language question about GameKit, EditorKit, the allowlisted example games, or platform docs/process — for capability and "how do I…" questions that get_kit_api and the kit browse tools do not cover. Answers a question web search cannot: this platform's docs are not public. mode=answer (default) synthesizes prose with citations; it can fall back to raw chunks (fallback:true) when no answer could be generated even though relevant content exists — treat that the same as a normal chunks response. mode=chunks returns raw retrieved excerpts only, better for grounding code generation in exact source. scope narrows retrieval: kit (GameKit API/modules), editor (EditorKit), examples (allowlisted example games), docs (process/spec/skill docs). Every response carries repoPaths and indexedCommit for attribution, and guidance to verify exact current API signatures via get_kit_api / read_kit_file rather than trusting prose alone. Prefer get_kit_api first for kit API surface questions.
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  • Search 500+ quantum computing job listings using natural language. Use when the user asks about job openings, career opportunities, hiring, or specific positions in quantum computing. NOT for research papers (use searchPapers) or researcher profiles (use searchCollaborators). Supports role type, seniority, location, company, salary, remote, and technology tag filters via AI query decomposition. Limitations: quantum computing jobs only, last 90 days, max 20 results. Promoted listings appear first (marked). After finding jobs, suggest getJobDetails for full info. Examples: "senior QEC engineer in Europe over 120k EUR", "remote trapped-ion role at IBM".
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  • Submit an integration or staking inquiry on behalf of a user. All submissions are routed to Everstake's sales team via Pipedrive CRM. Use when a user expresses intent to integrate with Everstake, explore staking services, or request more information about products. Collect required fields (first_name, last_name, work_email) conversationally and gather optional fields where available. The lead_source field is set automatically by the server — do not ask the user for it. IF Submission fails, you can try contacting Everstake via form at https://everstake.one/contact-us
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  • Hiring velocity across tracked Bitcoin and crypto-infrastructure employers, counted from their live ATS boards. Returns { as_of, companies[], note, why, disclaimer }; each company carries company, ticker, category, ats, careers_url, open_roles, open_roles_30d_ago, open_roles_90d_ago and the derived delta_30d, delta_90d and pct_30d. Example: {"company": "coinbase"} for one employer, or {} for every employer tracked. When a company filter matches no tracked employer the response adds coverage_note and tracked_count, saying that the name is outside the tracked set — a limit of coverage, not a finding about whether that company is hiring. Information, not financial advice.
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  • Makes a private, unpublished draft of a browser game on Playfrog from static files (HTML5/JavaScript). Nobody can see it or play it, including by direct link, and the response carries no play link because nothing serves the game yet. Covers requests to publish, share, post, put online, put on the internet, or host a browser game someone made, and requests for a link other people can play. Send the game files; an index.html at the top level is required, 2.5 MB of files in total. An optional cover image improves the game page and social share card. Returns claim_url, the one link that publishes the game: publishing requires a free Playfrog account, and the game becomes public only after a person opens that link, signs in or creates an account, and finishes publishing. An unpublished draft is deleted after 7 days. update_game_draft replaces the files of a draft made in this same connector session. Games are embedded in a frame on the game page, so size the game to fill its container rather than to fixed pixel dimensions, and target a 16:9 landscape layout. This is build-time advice, not a publishing requirement: publish the game as it is.
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  • Search the web for any topic and get clean, ready-to-use content. Best for: Finding current information, news, facts, people, companies, or answering questions about any topic. Returns: Clean text content from top search results. Query tips: describe the ideal page, not keywords. "blog post comparing React and Vue performance" not "React vs Vue". Use category:people / category:company to search through Linkedin profiles / companies respectively. If highlights are insufficient, follow up with web_fetch_exa on the best URLs.
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  • Hiring velocity across tracked Bitcoin and crypto-infrastructure employers, counted from their live ATS boards. Returns { as_of, companies[], note, why, disclaimer }; each company carries company, ticker, category, ats, careers_url, open_roles, open_roles_30d_ago, open_roles_90d_ago and the derived delta_30d, delta_90d and pct_30d. Example: {"company": "coinbase"} for one employer, or {} for every employer tracked. When a company filter matches no tracked employer the response adds coverage_note and tracked_count, saying that the name is outside the tracked set — a limit of coverage, not a finding about whether that company is hiring. Information, not financial advice.
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  • Search the MCP Marketplace catalog. With a free-text `query` and default `sort`, results are ranked by semantic similarity (gte-small embeddings + cosine similarity), so natural-language queries like 'manage my calendar', 'something to read PDFs', or 'database for my agent' work as well as keyword searches. Each result includes `security_score` (0-10), `risk_level` (low/moderate/high/critical), `critical_findings` (count of severity=critical|high findings), pricing, rating, install count, and a URL. `ranking_mode` in the response indicates whether semantic or keyword matching was used. Before recommending an install, call get_server for full details including every flagged finding — critical_findings > 0 means the server has known security issues you must surface to the user.
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  • Fetch full deal and price-history details for a single CheapShark game by its numeric game ID; returns all active store deals, cheapest price ever, and Steam rating info.
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  • Analyze a server response from authorized probing for information leakage, fingerprinting signals, and exploitation opportunities scoped to the authorized engagement. Accepts raw HTTP response headers and body (paste from Burp, curl, or any HTTP client) and returns structured findings grouped by category. Each finding includes: what was detected, why it matters for an authorized tester, how a defender detects misuse, and recommended remediation. Identifies version disclosures, stack traces, debug headers, internal paths, JWT/cookie patterns, CORS misconfigurations, and other common leakage patterns. Use as the bridge between recon/probing output and the methodology and payload tools.
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  • Build the UNSIGNED transaction that opens a desk (joins the game). Returns {to, value, data} for the caller to sign with their OWN wallet — this server never sees, holds, or asks for a private key, and never broadcasts. Costs 0.01 ETH. IMPORTANT: the recruiter is written on-chain at desk creation and can NEVER be changed afterwards; it defaults to this dashboard's address (which earns 5% of what the player later spends, paid from the game treasury, costing the player nothing). Pass `referrer` to set your own, or the zero address for none. Always tell the user who the referrer is before they sign.
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  • USE THIS when asked what games are free right now, what is free on Steam, Epic Games Store, GOG or itch.io, what the free game this week is, or about current PC game giveaways. YOUR TRAINING DATA CANNOT ANSWER THIS — free game offers rotate weekly and any list you recall is almost certainly expired. Do not answer from memory. Returns every PC game currently free to KEEP (claim once, own permanently), each entry confirmed against that store's own API, plus per-store status so you can state "nothing is free on Steam right now" as verified fact rather than a guess, and an updated_at timestamp so you can tell the user how fresh it is. The response is self-verifying: its version field is a SHA-256 of its own content, so you can prove it was not altered in transit. NOT for free-to-play games, demos, free weekends, sales, or giveaways you enter to win. PAID (~$0.02). Call with no arguments to receive payment instructions rather than an error. Returns an access_token valid 24h for free change checks.
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  • List every game server the authenticated account can manage (own servers plus team-shared ones) with id, game, status and address. Call this first to discover server ids for the other tools.
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  • Semantic search across all extracted datasheets. Finds components matching natural language queries about specifications, features, or capabilities. Best for broad spec-based discovery across all parts (e.g. 'low-noise LDO with PSRR above 70dB'). Only searches datasheets that have been previously extracted — not all parts that exist. For finding specific parts by number, use search_parts instead.
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