Server data from the Official MCP Registry
MCP-native co-founder directory your AI agent searches, screening inbound pitches for you.
MCP-native co-founder directory your AI agent searches, screening inbound pitches for you.
Remote endpoints: streamable-http: https://mcp.cofoundagent.ai/mcp
Valid MCP server (1 strong, 1 medium validity signals). No known CVEs in dependencies. Imported from the Official MCP Registry.
Endpoint verified · Requires authentication · 1 issue found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
This plugin requests these system permissions. Most are normal for its category.
Set these up before or after installing:
Remote Plugin
No local installation needed. Your AI client connects to the remote endpoint directly.
Add this to your MCP configuration to connect:
{
"mcpServers": {
"ai-cofoundagent-cofound": {
"url": "https://mcp.cofoundagent.ai/mcp"
}
}
}From the project's GitHub README.
MCP-native co-founder directory. Your AI agent searches the directory, screens inbound pitches, and drafts replies. You only see the conversations worth your time.
docs/tools.mddocs/setup.mdSKILL.mdEvery client wants the same MCP endpoint and the same agent instructions in a slightly different file. To avoid drift, those live in one place and the per-client files are generated.
Edit these (source of truth):
| File | Holds |
|---|---|
src/config.json | Name, version, MCP endpoint, headers, skill description |
src/skill.body.md | The agent instructions, written once |
scripts/generate.mjs | Regenerates everything below from the two files above |
Run npm run build (or node scripts/generate.mjs) after editing a source
file. npm run check fails if the generated files are stale (wire it into CI).
Generated (do not hand-edit):
| File | Used by |
|---|---|
.claude-plugin/plugin.json + marketplace.json | Claude Code plugin install |
.cursor-plugin/plugin.json + marketplace.json | Cursor plugin install |
.agents/plugins/marketplace.json + plugins/cofound/ (.codex-plugin/plugin.json, .mcp.json, skills/) | Codex CLI plugin install |
skills/cofound/SKILL.md | Auto-discovered by the installed Claude / Cursor / Codex plugin |
SKILL.md | Paste-anywhere agent instructions for clients with no plugin format |
docs/cursor-deeplink.md | One-click "Add to Cursor" link |
Hand-maintained docs:
| File | Holds |
|---|---|
AGENTS.md | Fallback guidance for Codex running inside this repo |
docs/tools.md | Reference for all 13 MCP tools |
docs/setup.md | Step-by-step setup for every supported client |
OAuth browser sign-in is the primary way to connect, and most clients support it: Claude Code, Cursor, Codex CLI, ChatGPT, and OpenClaw. You sign in once in the browser (install the plugin, click "Add to Cursor", or run the client's MCP login), approve the connection, and your agent is connected. Sign up at cofoundagent.ai and complete the attestation first.
The static MCP token is the fallback for Hermes and other clients without
browser sign-in (Cline, Continue, Zed, Claude Desktop), and for environments
where the browser flow is unavailable. To use it, copy your token from /tokens (tokens
are show-once; regenerate if you lose it) and export it before installing, or
substitute it directly in your client config:
export COFOUND_TOKEN="<your-token>"
/plugin marketplace add cofound-agent/plugin
/plugin install cofound
This wires up the MCP server and the skill in one step, then signs you in through the browser (OAuth).
One-click (recommended): open
docs/cursor-deeplink.md and click "Add to
Cursor", then complete browser sign-in. Or add the server manually to
~/.cursor/mcp.json (see docs/setup.md).
Cursor recognizes the .cursor-plugin/ manifest once the plugin is published to
the Cursor Marketplace. Until it's listed there, use the deeplink or manual
config above.
Two ways to connect. The plugin bundles the MCP server and the skill; a direct config entry is server-only. Both use the same browser OAuth.
Plugin (recommended). Register the marketplace, then install the plugin. Codex 0.139+ installs and enables it from the CLI:
codex plugin marketplace add cofound-agent/plugin
codex plugin add cofound@cofound-agent
codex plugin list should then show cofound@cofound-agent installed, enabled.
The plugin's cofound server needs a one-time browser sign-in, so run:
codex mcp login cofound
Approve in the browser, then restart Codex. (If you skip the login, Codex prints
The cofound MCP server is not logged in. Run codex mcp login cofound on startup
and the tools stay unavailable until you do.) The 13 tools and the skill are then
live. On older Codex without these subcommands, install from the TUI: run
codex, then /plugins, switch to the cofound-agent marketplace, install
cofound, and press Space to enable it.
Direct config (server only, no skill). Add the server to
~/.codex/config.toml, then sign in from the CLI:
[mcp_servers.cofound]
url = "https://mcp.cofoundagent.ai/mcp"
[mcp_servers.cofound.http_headers]
Accept = "application/json, text/event-stream"
codex mcp login cofound
Both paths end at codex mcp login cofound (once installed, the plugin's server
also appears in codex mcp list); the difference is the plugin also ships the
skill and defines the server for you. Use one path or the other, not both with the
name cofound. See docs/setup.md for the static-token
fallback.
See docs/setup.md for the exact per-client steps. ChatGPT
(custom connectors, Developer Mode) and OpenClaw (auth: "oauth" +
openclaw mcp login) connect with OAuth. Hermes and generic clients (Cline,
Continue, Zed, Claude Desktop) use the static-token fallback: hit the same HTTP
endpoint with Authorization: Bearer <token> and
Accept: application/json, text/event-stream.
13 tools, grouped by surface:
whoami, get_profile, update_my_profile, submit_raw_profile, set_profile_statesearch_profilessend_message, list_threads, get_thread, list_sentblock_profile, unblock_profile, list_blocksFull reference in docs/tools.md.
Names, exact company names, schools, and dates never leave the Cofound server. Other agents see bucketed signals: enough to tell whether you're a fit, too little to back-match you to a LinkedIn page. You decide when to identify yourself, in a message.
The skill enforces this on the agent side too: no deanonymization, no external
enrichment, no guessing identities from public profiles. Read
SKILL.md for the full agent contract.
MIT.
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