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509,991 tools. Updated 2026-09-03 12:33

"Finding people on GitHub" matching MCP tools:

  • Add a contact channel to a company or person. Wraps the resource-scoped REST endpoints (POST /v1/{companies,people}/:id/{emails,phones,web-links,locations}). channel + the matching value field: - email → value.email - phone → value.e164_number (E.164; a leading "+" is added if missing) - web_link → value.url (+ optional value.platform, default "website") - location → value.city, value.country (+ optional address_line1/2, region, postal_code) value.label is optional (defaults to "work"). NOTE: adding a phone is supported on a PERSON but NOT on a company (no endpoint) — that combination returns a clear error. To READ existing channels, use well_query_records on the parent (companies/people) or the channel root.
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  • Head-to-head verdict for two games on needmoar.games: which one players like more, each game's community score (the share of a library it beats) and rank, and the full distribution of opinions on both. Use this to answer "do people prefer A or B?". Pass Steam appids — resolve names with search_games first. The response links to the matching /vs page you can cite.
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  • Compute the tip and per-person split for a bill. FREE. Typical input {"bill": 86.40, "tip_pct": 20, "people": 4} returns {"tip": 17.28, "total": 103.68, "per_person": 25.92}. Use for one bill shared among a group. Not for recurring household budgeting (budget_split). Errors: on invalid, missing, or malformed input this tool never raises a protocol error — it returns {"error": "<what is wrong and how to fix it>"} (for example {"error": "bill must be > 0 and people >= 1"}). Every call is read-only and idempotent, so after correcting the input it is always safe to retry.
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  • Compute the tip and per-person split for a bill. FREE. Typical input {"bill": 86.40, "tip_pct": 20, "people": 4} returns {"tip": 17.28, "total": 103.68, "per_person": 25.92}. Use for one bill shared among a group. Not for recurring household budgeting (budget_split). Errors: on invalid, missing, or malformed input this tool never raises a protocol error — it returns {"error": "<what is wrong and how to fix it>"} (for example {"error": "bill must be > 0 and people >= 1"}). Every call is read-only and idempotent, so after correcting the input it is always safe to retry.
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  • Start connecting GitHub for the CALLER'S OWN FindAgent account so findagent_import_repo / findagent_list_repos can pull their repos. Returns whether GitHub is already connected plus a browser connect URL — the caller opens it, authorizes GitHub, and the token is stored server-side (this tool grants nothing itself; the actual connect happens in the browser). Call this first if import_repo or list_repos reports github not connected. The connection is scoped to THIS FindAgent account, so authorize on the same browser account. To switch GitHub accounts, use findagent_disconnect_github first.
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  • Returns the CONTENTS of `public/tide_dpop_auth.html` — the DPoP relay page the Tide enclave loads during login — plus its sha256, the required next.config.ts rewrite/CSP wiring, and how to verify. The file is NOT shipped in the @tidecloak/* npm packages and is NOT in the TideCloak container, so there is nowhere else to get it: without this tool people search GitHub and find a STALE copy that posts to window.parent, which breaks the popup fallback and fails login with TIDE-SWE-UNHANDLED. CALL THIS whenever DPoP is enabled (it is on by default), whenever a login fails with TIDE-SWE-UNHANDLED or 'Popup DPoP verification failed to load', and before copying this file from anywhere else.
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Matching MCP Servers

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    MCP server for the Mamba Labs People Finder & Email Verifier actor on Apify. Give it a company domain, name or LinkedIn URL and it returns the people at that company who match your role, seniority and department filters, each as a structured contact record with an optional verified business email.
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Matching MCP Connectors

  • Find personalized puzzle books by first name from a 100,000+ title Shopify catalog.

  • GitHub repo analytics: stars, trending, code search, contributor maps for project research.

  • 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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  • Fetch one contributor's profile card by GitHub login, ORCID iD (or orcid.org URL), or a find_candidates `id` (source:name such as ntrs:Ada Lovelace). Do not invent a GitHub handle for research or deep-tech people — pass their id. find_candidates already returns full inline profiles; use get_profile only for ids outside those results or when the user asks for deeper detail. Returns structuredContent (view=profile). Agents: consume structuredContent only. IMPORTANT — interpreting recent_activities: indexed GitHub activity in the current ingestion window (2025–2026), up to ~20 events per recent project. NOT a complete career history. Empty or older activity does not mean inactive.
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  • Returns the current skill cluster data for public jobs on the nü people website. Use this tool when the user wants an overview of which skills or technologies are currently in demand.
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  • Read one Celestia GitHub Discussion (celestiaorg/docs and other Celestia repos) cached on THIS server — full body plus comments — by an id you got from list_github_discussions on this server. Celestia cache only: if the id was not returned by this servers list_github_discussions, or the request is just a raw GitHub node id (e.g. D_kw...) with no Celestia context, this is NOT the tool — use a dedicated GitHub tool for arbitrary GitHub Discussions. This is GitHub Discussions, not the community forum (use get_discussion). Pair it with list_github_discussions, which supplies the valid ids.
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  • Search patient discussion threads on community.navmds.com — the NavMDs forum where people discuss recovery timelines, what procedures actually cost them, choosing a surgeon, and what to expect. Use this for lived-experience questions ('what is rhinoplasty recovery like', 'how much did people actually pay for a tummy tuck', 'how do I pick a surgeon') where the doctor-directory tools can't help. Returns thread titles, categories, excerpts and canonical URLs; pass an id to get_community_thread for the full discussion. Community posts are patient discussion, not medical advice.
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  • Record something one person paid for the group. Split equally by default; pass split_between for a subset, or shares for an uneven split. One expense covers one set of people — a receipt whose items aren't all shared by everyone is several expenses, so call this once per group of items that the same people share, rather than splitting the total equally. Works on simple, accountless splits. Secure splits (created by a signed-in user) are read-only here and must be opened in a browser.
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  • Use this when the user asks what people actually think of a specific AI tool, whether users like it, its reputation, reviews, community feedback, common complaints, or praised strengths. Returns a synthesized sentiment report from real user discussions (Reddit, Hacker News, GitHub, YouTube, Product Hunt and more): overall sentiment label, per-source positivity, top pros and cons, recurring themes, and mention volume — always stamped with the scan date. Reports come from the RightAIChoice sentiment engine and are served from the verified cache (usability gate: completed scans under 180 days old). If no usable scan is on file, this tool says so honestly instead of guessing. Not for: checking whether a tool is alive (use check_tool_status) or head-to-head choices (use compare_tools). Sentiment reflects public discussion volume, not product quality rankings.
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  • Fetch any document in the knowledge base by path: People — people/moses Places — places/bethel-1 Themes — themes/faith Lexemes — lexemes/h430 Commandments — commandments/001-know-there-is-a-g-d Events — sa/events/exodus-from-egypt Epochs — epochs/david-reigns-in-jerusalem Books — bible/john Chapters — bible/john/3 Sources — sources/bibledata Datasets — references/cross-references Schema — schema/relations Returns the document's structured fields, its typed relations in BOTH directions, what links to it, and optionally its full text. The inbound direction matters: the corpus stores each relation once, on one side only, so a person's parents live on their parents' documents and only relations.inbound recovers them. Set body=true for the prose — a lexeme's Strong's definition, a commandment's Hebrew, a theme's outline of verses all live in the body and nowhere else. Where several people or places share a name the path is disambiguated with a number (people/zechariah-14, places/bethel-1) — search_concepts first if unsure. A collection path like "themes" or "sources" returns what that collection holds.
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  • List the GitHub repositories that blobpedia has INDEXED for Celestia, with item counts. Read-only view of the Celestia index on this server — does NOT browse your GitHub account or arbitrary repos (use a dedicated GitHub tool for that). Zero arguments.
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  • List GitHub Discussions from Celestia repos (e.g. celestiaorg/docs) cached on this server, ranked by upvotes then recency. Celestia repos only, from the local cache — not arbitrary GitHub Discussions (use a dedicated GitHub tool for those). Use get_github_discussion for the full body plus comments of one thread; this is GitHub Discussions, not the community forum (use get_discussion).
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  • Queue a vault-to-vault token transfer to another GitHub user on Base Mainnet. Both sender and recipient must have a Gitbank vault. Returns a confirm_code the user must post on GitHub to authorize. The GitHub account identity is verified on-chain at confirmation time — only the vault owner can authorize. Supported tokens: USDC, WETH.
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  • Use this when the user asks what people actually think of a specific AI tool, whether users like it, its reputation, reviews, community feedback, common complaints, or praised strengths. Returns a synthesized sentiment report from real user discussions (Reddit, Hacker News, GitHub, YouTube, Product Hunt and more): overall sentiment label, per-source positivity, top pros and cons, recurring themes, and mention volume — always stamped with the scan date. Reports come from the RightAIChoice sentiment engine and are served from the verified cache (usability gate: completed scans under 180 days old). If no usable scan is on file, this tool says so honestly instead of guessing. Not for: checking whether a tool is alive (use check_tool_status) or head-to-head choices (use compare_tools). Sentiment reflects public discussion volume, not product quality rankings.
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  • Create a list — a described set of people (e.g. 'Seed investors', 'Design candidates'). The description is REQUIRED and is the goal noticed matches people against, so write it specifically ('pre-seed investors who back dev tools in Europe'): noticed then proposes people from the network to add, and the user confirms or rejects each one. The title is auto-generated from the description unless you pass a name. Returns the new list_id.
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