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Foundaree MCP Server

by shujahmhd Your server? Claim it
not responding

Foundaree is listed as active in the registry but did not answer our last check. It exposes 7 tools.

Find and book real people by skill, city and availability: doctors, developers, plumbers and more.

Uptime history 63 hours of history · worst hour 0%
63 hours agonow
9.9%
Uptime 24h
9 of 91 checks
7
Tools
read from the server
852 ms
Response time
average over 24h
open, no key
Access
streamable-http

What changed 4

Every tool that appeared, vanished or quietly changed what it asks for. Recorded since 21 September 2026. No other catalogue keeps this.

21 Sep 3 tools appeared request_appointment, search_opportunities, search_organizations
21 Sep a tool description was rewritten match_people

Foundaree does not always answer

Over the last week it answered 21.2% of our checks. We check every 15 minutes, so you hear about the next outage within the hour — not from your users.

Three servers free · no card

Connect this server

Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 13 min ago.

run in your terminal
claude mcp add foundaree --transport http https://foundaree.com/mcp
~/Library/Application Support/Claude/claude_desktop_config.json
{
  "mcpServers": {
    "foundaree": {
      "url": "https://foundaree.com/mcp"
    }
  }
}
~/.codex/config.toml
[mcp_servers.foundaree]
url = "https://foundaree.com/mcp"
.cursor/mcp.json
{
  "mcpServers": {
    "foundaree": {
      "url": "https://foundaree.com/mcp"
    }
  }
}
.vscode/mcp.json
{
  "mcpServers": {
    "foundaree": {
      "url": "https://foundaree.com/mcp"
    }
  }
}

Available tools 7

Read directly from the server with tools/list, grouped by what they act on. If a tool disappears, we record the date.

match
match_people
Rank public Foundaree profiles against a list of required skills — use when the user describes a need ("a co-founder who knows React and has sold to enterprises", "a dentist in Pune", "someone to rewire my kitchen in Kochi") rather than searching for a known person. Give the required skills as `skills` (or describe the need in `q`; skill terms are then derived from it and `q` also narrows candidates by full text). location, area, workType, category, availability and lookingFor are hard filters; the skills only score: score = matched ÷ required (0–1), where a listed skill counts 1 and a term found in the person's category or lookingFor counts ½. Someone with 3 of 5 skills still appears, below someone with 5; ties break on availability (available first), then founding members (Foundaree's first 150 members), then recency. When nobody matches a single skill, the filtered candidates come back with score 0 and `fallback: true` instead of an empty list. Returns JSON with `items` (each: `person`, `score`, `matchedSkills`, `missingSkills`, `profileUrl`), `total`, `requiredSkills` and `fallback`. Each answer has two views: the text content is the JSON described above, and the structured content is a profile-card list (`people`, `total`, `query`). In apps that support MCP Apps (ChatGPT, Claude) the cards render as Foundaree profile cards. A person with `foundareeRole` ("founder" or "team") is part of Foundaree's own team; only Foundaree sets it.
opportunities
search_opportunities
Search public openings on Foundaree: jobs, freelance work, internships, projects, co-founder and advisory roles. Use it when the user is looking for work or a role ("React jobs in Bengaluru", "a co-founder role in fintech", "internships in design"), or asks what a company is hiring for. Matches the title, description, city and skills. Only open listings are returned unless `includeClosed` is true. Returns JSON with `items` (each: `username`, `title`, `type`, `companyUsername`, `location`, `description`, `skills`, `status`, `listingUrl`, `companyUrl`) and `total`. People apply on the listing page on Foundaree; this tool does not apply for anyone. Foundaree is new, so there may be few or none: say so rather than guessing.
organizations
search_organizations
Search public company and organization pages on Foundaree by name, what they do, or city: "design studios in Kochi", "a clinic in Pune", "startups building for farmers". Use it when the user needs a company or team rather than one person. Returns JSON with `items` (each: `username`, `name`, `description`, `website`, `location`, `pageUrl`) and `total`. Foundaree is new, so there may be few or none: say so rather than guessing. A company's open roles come from search_opportunities.
people
search_people
Search public Foundaree profiles by free-text query and/or structured filters; give at least one. Free-text matches name, headline, bio, location, skills, experiences and projects. Structured filters: location (substring), area (neighbourhood substring), workType (exact: local_service = blue-collar, hands-on work; professional = white-collar work), category (comma-separated trades/professions, OR semantics), availability (exact: available, open_to_offers, not_looking, unspecified), skills (comma-separated, AND semantics), lookingFor (comma-separated, AND semantics). Only the first 100 results can be paged through (offset + limit ≤ 100); add filters to narrow the search. Among people who fit equally well, founding members (Foundaree's first 150 members, `foundingMember`) come first; a better match always ranks higher. Returns JSON with a `results` array of structured people summaries. Results never include phone numbers or emails: use get_person for one profile's public contact details. Each answer has two views: the text content is the JSON described above, and the structured content is a profile-card list (`people`, `total`, `query`). In apps that support MCP Apps (ChatGPT, Claude) the cards render as Foundaree profile cards. A person with `foundareeRole` ("founder" or "team") is part of Foundaree's own team; only Foundaree sets it.
person
get_person
Retrieve the full public profile for a username, including skills, experiences and projects, and the phone, WhatsApp and contact email (`phone`, `whatsapp`, `contactEmail`) when the person made them public. `workProof`, when at least one kind is proven, is a count, not a score: "Proof: `proven` of `total`" over GitHub, website and LinkedIn (LinkedIn has no proof yet), with the facts of each proven one: `github` (public facts of a GitHub account they proved is theirs by signing in with it: repos, stars, followers, top languages, last push, and when Foundaree read them) and `website` (their website links back to this profile). Returns structured JSON with `success`, `found` and `person` fields. Each answer has two views: the text content is the JSON described above, and the structured content is a profile-card list (`people`, `total`, `query`). In apps that support MCP Apps (ChatGPT, Claude) the cards render as Foundaree profile cards. A person with `foundareeRole` ("founder" or "team") is part of Foundaree's own team; only Foundaree sets it.
profile
create_profile_draft
Start a Foundaree profile for the user. Use it only when the user asks to join Foundaree, to be listed on it, or to create their own profile. Fill in only details the user gave about THEMSELVES: never about someone else, and never guess. Only `name` is required. Nothing is published: this saves a private draft and returns one link (finishUrl). The user opens it, checks the profile, signs in and taps Publish; until then nobody can find it. Show the user the link. It works once, for 7 days. Nobody is emailed or texted.
request
request_appointment
Send a booking request to one person on Foundaree, for the user: "book this plumber for Saturday morning", "ask this dentist for an appointment". Use it only when the user asked to book or contact that person, and only with the user's OWN name and phone number, which they gave you: never guess or reuse another number. Before calling, tell the user what you will send and to whom, and get their yes. The person sees the request on Foundaree and by email, and calls the user back on that number if they can take it; nothing is confirmed until they do, so say that to the user. Find the username with search_people or match_people first. One open request per phone number and person; a few per number a day.

Endpoints

URLTransportStateLatencyChecked
https://foundaree.com/mcp streamable-http answering 245 ms 13 min ago

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Foundaree — questions

Answers built from our own checks of this server.

What can Foundaree do?
It exposes 7 tools, read directly from the server on our last check. Among them: create_profile_draft, get_person, match_people, request_appointment, search_opportunities, search_organizations and 1 more. The full list with descriptions is on this page — we take it from the server itself via tools/list, not from a README. How MCP servers expose tools in the first place →
Is Foundaree working right now?
We send a real MCP handshake every 15 minutes. Over the last 24 hours 9 of 91 checks got a reply (9.9%), average response time 852 ms. The bar chart above shows every period we have measured.
The registry lists Foundaree as active — why does it not respond?
The official MCP registry stores what the author submitted; it does not verify that the server still runs. We check the endpoint ourselves, and this one does not answer. Catalogues that copy the registry without checking will show it as working.
How do I connect Foundaree?
Copy the ready config from this page — we generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each with the file path that client actually reads. It is a remote server, so there is nothing to install — the client connects to the address.
Does Foundaree need an API key?
No. Foundaree completed a full MCP handshake with us as an anonymous client and listed its tools without asking for anything. All 7 of them are readable on this page. This is what we observed, not what the docs claim.
How fast is Foundaree?
It answers our handshake in 852 ms on average, which is faster than 14% of all working MCP servers we measure. That is on the slow side — worth knowing if the tool sits inside an interactive loop. The comparison comes from our own checks across the whole registry, every 15 minutes.