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504,036 tools. Updated 2026-09-01 19:04

"A tool for finding and locating people online" matching MCP tools:

  • SENDS REAL MESSAGES TO REAL PEOPLE. This is irreversible and costs credits. It requires an approval_token from review_campaign_readiness AND the confirmation phrase that review returned, which the HUMAN OPERATOR must give you explicitly. Never generate the confirmation yourself, never infer approval from a previous message, and never reuse an approval issued for a different campaign or a different size. If the operator has not clearly said yes to this exact launch, do not call this tool — ask them.
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  • Screen ONE natural PERSON's full name against sanctions (OFAC, EU, UN) and PEP lists. IMPORTANT — this is a PERSON tool only. Do NOT pass a company name, an organisation number (orgnr), or any non-person string here. For company-level AML risk use `firmaradar_get_aml_score` (by orgnr); to screen a company's owners/officers, first resolve the people via `firmaradar_get_company_roles` / `firmaradar_get_company_ownership`, then screen each PERSON name with this tool. Compliance-critical: PII-sensitive, requires a signed DPA and a legitimate purpose per call (free-text `purpose` parameter). Audit-logged for 60 months. Rate-limited to 50 calls / 30 min per API-key. Returns structured hits with category, sources, and match-ratio (default min 0.85).
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  • Fetch a public HTTPS URL and return extracted text and page metadata. Lean mode — no evidence bundle stored, no bundle_id returned. Use for raw text extraction from web pages and online documents. Use url.summarize for summaries, url.qa for Q&A, url.translate for translation, document.extract_text for base64 file uploads. Returns: { url, title, word_count, text, final_url (after redirects) } Example prompts: - "Extract the text from https://example.com/report.pdf for me." - "Get me the raw content of this web page: [URL]." - "Pull the text from this online article so I can analyze it."
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  • Fetch a public HTTPS URL and return extracted text and page metadata. Lean mode — no evidence bundle stored, no bundle_id returned. Use for raw text extraction from web pages and online documents. Use url.summarize for summaries, url.qa for Q&A, url.translate for translation, document.extract_text for base64 file uploads. Returns: { url, title, word_count, text, final_url (after redirects) } Example prompts: - "Extract the text from https://example.com/report.pdf for me." - "Get me the raw content of this web page: [URL]." - "Pull the text from this online article so I can analyze it."
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  • PRIMARY tool for open-ended questions: how / why / what-is, troubleshooting a symptom ("why is my balance zero", "how do I fix X"), and locating config or setup steps. Conceptual/meaning-based search over the full Canton corpus (CIPs, docs, forum, mailing lists, proposals, blog, releases, ecosystem, foundation KB, YouTube) using vector+FTS hybrid retrieval with reranking. Canton-specific. Use this FIRST for anything a specific tool does not clearly own; the narrow curated tools (get_faq, find_known_issues, diagnose_error) cover only small hand-picked sets or need a literal error string, so prefer semantic_search for real how/why/config questions. Then call get_doc with a returned id to read the full source page.
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  • List Bill Commons' curated cross-state topic trackers (e.g. artificial intelligence, youth online safety, platform accountability, cybersecurity, cryptocurrency, data privacy, local government & preemption) -- the entry point for "what subjects does Bill Commons track across all 50 states + DC" and "how do I get every bill in one". Each topic is a title/subject membership rule tuned for precision over recall, with a live bill_count and how_to_fetch_bills. This tool does not itself return bill rows -- pair it with search_legislation or the REST API's /topics/{slug} for the bills.
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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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    MIT
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    An MCP server that gives AI agents a private, durable memory of people, providing a personal people graph in PostgreSQL with tools to search, remember, and connect people, plus imports from LinkedIn, Google Contacts, and WhatsApp, and a browser UI.
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    MIT

Matching MCP Connectors

  • Connect this conversation to a Dreambooth Studio account. Returns a link the person opens in their own browser to approve with Google. Works for people who do NOT have a Dreambooth account yet — approving creates one, with a 14-day Pro trial — as well as for existing operators. Call this when another tool reports that no account is connected, or when someone asks to connect, sign up, or switch accounts. After returning the link, ask them to open it and say when they are done; do not call this tool again while waiting.
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  • Generate synthetic / fake user profiles via the MwVideos random_users API (POST /mwvideos/api/random_users). Returns name, gender, location, email, login, dob, phone, picture, and nat. Use when the user asks for random users, fake people, sample contacts, demo personas, UI fixtures, or test profiles. Pass `results` for how many profiles (default 1, minimum 1) and `isPro` as 0 or 1 when relevant (default 0). Authenticated user_id is injected server-side — do not invent profiles; always call this tool. These are FAKE people for demos and testing, not real PII.
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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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  • Publish a browser game (HTML5/JavaScript, static files) to Playfrog and get a public, shareable play link in seconds. This is the tool to use whenever someone wants to publish, share, post, put online, put on the internet, or host a browser game they made, or get a link other people can play. Free, no account and no API key. 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 play_url (the public game page to share), claim_url, manage_token, and an action_required note stating the game must be claimed for free within 7 days or it is disabled. Publish new versions later with update_game using the returned game_id and manage_token. 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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  • One-shot summary of farm-wide printer state. Use this (NOT list_printers) when the user asks "how many printers are printing/idle/awaiting bed clear/etc." or "what is the state of the farm". Returns a total and {count, printers:[{id,name}]} for each bucket: online, offline, not_connected, operational (idle), printing, paused, awaiting_bed_clear (a print finished but the bed has not been cleared yet — printer is online + operational + still has a job; this is NOT print_pending), in_maintenance, print_pending (a queued staggered/scheduled start), requires_attention (has unresolved error notifications), ai_running, ai_detected_low, ai_detected_high. Counts overlap intentionally: a printer can be in "online" + "printing" + "ai_running" at once.
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  • Searches the published catalogue of Origine Paris (recycled 18ct gold, IGI-certified lab-grown diamonds) in French or English, with structured filters and a documented ranking. The jewellery type (ring, earrings, necklace, bracelet), given or detected in the query, is a tier: a piece of another type never precedes a piece of the requested type. The score and its reasons are returned for every result (family or collection phrase, gold colour, price cap, type, sub-type, exact title, other words), collections come back as facets rather than results, pages are stateless (limit and cursor). Prices are the ones published on the site and payable at the online checkout of origineparis.com: the full catalogue is bought online, without an adviser and without a quotation. Bespoke work is not bought online. This server is read-only: it sells nothing, holds no cart and completes no payment. Bespoke intents and queries with no match come with a consultation block. Use get_product_detail for everything the site publishes about one result and get_maison for the house itself. Read-only and side-effect-free; nothing is invented.
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  • Whether YOUR SkimGuard scanners are online and reporting. REQUIRES the SkimGuard Business tier. You are not signed in to an account with it. Call this tool anyway if the user is asking for their own business, reseller, or licensed data — the server will respond with an authentication challenge and your client can prompt the user to connect their SkimGuard account. Do not fabricate an answer instead.
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  • Sends a bug report or product feedback about TopFood to the maintainers. Use it when a tool call fails unexpectedly, when the published menu is wrong or incomplete, or when the restaurant owner tells you something is broken or missing. Do NOT use it for input that a tool already rejected with a clear explanation — fix the input and retry instead. Describe what was attempted, what happened, and what was expected. Reports are read by people and there is no reply channel: tell the user the report was sent, and that they should include an email address in the message if they want an answer.
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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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  • Start an async OSINT investigation for a username (cross-platform presence, breach correlation). Owner/enterprise tier only — people-centric OSINT is restricted to prevent misuse. Returns an investigationId immediately — poll with osint_investigation_status and retrieve results with osint_investigation_report.
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  • Produce a deterministic remediation REQUEST bundle (rubric + fix schema + per-finding metadata + fingerprints) for YOU (the host agent) to fix. This tool calls no model and needs no key. For each finding, propose the corrected FULL file content, then VERIFY with verify_fix and keep only fixes that clear the finding. Never touch files with secrets; never auto-merge. Pass 'findings' from scan_path --format json.
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  • Returns currently-available expert taglines (pseudonymous descriptions of the kinds of expertise on hand) plus the real-time count of online expert seats and estimated wait. Use this as a cheap pre-flight check before calling a paid tool. Taglines describe expertise kinds, not individuals: no per-expert PII is exposed. Free.
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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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