Connects Claude to Generect's B2B lead generation API for sales prospecting workflows. Exposes five tools: search for leads and companies by ICP filters, generate email addresses from names and domains, fetch LinkedIn profiles by URL, and run health checks. Supports both OAuth 2.1 flow through their hosted endpoint at mcp.generect.com and direct API key auth for simpler setups. You can run it remotely via their HTTP transport, locally via stdio, or deploy it yourself with Docker. Reach for this when you're building prospecting lists, enriching contact data, or automating outbound research inside Claude conversations. Requires a Generect API key from their beta platform.
Minimal MCP server exposing Generect Live API tools for B2B lead generation and company search.
Sign up and get your API key at https://beta.generect.com
This MCP server implements OAuth 2.1 authorization as specified by the Model Context Protocol.
Use our hosted MCP server with any OAuth-compliant MCP client:
{
"mcpServers": {
"generect": {
"url": "https://mcp.generect.com/mcp",
"type": "http"
}
}
}
When you first connect, the client will initiate an OAuth flow:
| Endpoint | Description |
|---|---|
/.well-known/oauth-protected-resource | Protected Resource Metadata (RFC 9728) |
/.well-known/oauth-authorization-server | Authorization Server Metadata (RFC 8414) |
/.well-known/jwks.json | JSON Web Key Set for token verification |
/oauth/authorize | Authorization endpoint (login + consent) |
/oauth/token | Token endpoint |
/oauth/register | Dynamic Client Registration (RFC 7591) |
If your MCP client cannot complete the OAuth flow, you can pass the API key directly via the Authorization header. The server accepts any of:
Authorization: YOUR_API_KEY
Authorization: Bearer YOUR_API_KEY
Authorization: Token YOUR_API_KEY
Authorization: Bearer Token YOUR_API_KEY (legacy)
Example for mcp-remote:
{
"mcpServers": {
"generect": {
"command": "mcp-remote",
"args": [
"https://mcp.generect.com/mcp",
"--header",
"Authorization: Bearer YOUR_API_KEY"
]
}
}
}
For local development or when OAuth is not needed:
Requirements: Node >= 18
Configure environment:
GENERECT_API_BASE=https://api.generect.com
GENERECT_API_KEY=Token <api-key>
GENERECT_TIMEOUT_MS=300000
JWT_SIGNING_KEY=<your-secret-key-for-jwt-signing>
TOKEN_ENCRYPTION_KEY=<32-byte-hex-key-for-token-encryption>
npm install
npm run dev:http
npm run build && npm start
The server emits one structured JSON log line per event to stderr (stdout is reserved for the MCP stdio protocol). Metadata logging is on by default; set MCP_LOG=0 to disable it entirely.
Privacy — payloads are redacted by default. Request/response payloads can contain personal data of prospects (names, company domains, generated emails). By default these values are not logged verbatim: each is reduced to a non-identifying shape marker (e.g. "first_name": "<str:4>"), so you can see which fields were sent without recording the data itself. Set MCP_LOG_PAYLOADS=1 to log payloads verbatim — intended for short-lived debugging, with the data owner's consent.
Events:
event | When | Key fields |
|---|---|---|
tool_call | LLM invokes a tool | reqId, tool, input (redacted unless MCP_LOG_PAYLOADS=1) |
api_request | Outbound call to Generect API | url, method, body (redacted unless MCP_LOG_PAYLOADS=1; never the token) |
api_response | Generect API responded | url, status, ms |
tool_result | Result returned to the LLM | reqId, tool, ms, output (redacted unless MCP_LOG_PAYLOADS=1) |
tool_error / api_error | Failure | reqId/url, error, ms |
reqId correlates a tool_call with its tool_result. Set MCP_DEBUG=1 for additional verbose output.
The hosted server runs under PM2 (not Docker). View logs on the host with:
pm2 logs generect-mcp # live
pm2 logs generect-mcp --err # errors only
grep tool_call ~/.pm2/logs/generect-mcp-out.log # only LLM tool inputs
search_leads: Search for leads by ICP filters (supports timeout_ms)search_companies: Search for companies by ICP filters (supports timeout_ms)generate_email: Generate email by first/last name and domain (supports timeout_ms)get_lead_by_url: Get LinkedIn lead by profile URL (supports timeout_ms)health: Quick health check against the API (optional url, supports timeout_ms){
"mcpServers": {
"generect-liveapi": {
"command": "node",
"args": ["./node_modules/tsx/dist/cli.mjs", "src/server.ts"],
"env": {
"GENERECT_API_BASE": "https://api.generect.com",
"GENERECT_API_KEY": "Token YOUR_API_KEY",
"GENERECT_TIMEOUT_MS": "300000"
}
}
}
}
Add to ~/.claude/claude_desktop_config.json (or via UI → MCP Servers). Recommended: run via npx so users don't install anything globally.
{
"mcpServers": {
"generect-api": {
"command": "npx",
"args": ["-y", "generect-ultimate-mcp@latest"],
"env": {
"GENERECT_API_BASE": "https://api.generect.com",
"GENERECT_API_KEY": "Token YOUR_API_KEY",
"GENERECT_TIMEOUT_MS": "300000",
"MCP_DEBUG": "0"
}
}
}
}
macOS note: If Claude shows "spawn npx ENOENT" or launches an older Node via nvm, set command to the absolute npx path and/or override PATH:
{
"command": "/usr/local/bin/npx",
"env": { "PATH": "/usr/local/bin:/usr/bin:/bin:/usr/sbin:/sbin" }
}
Alternative without npx:
npm i -g generect-ultimate-mcp
Then use:
{ "command": "/usr/local/bin/generect-mcp", "args": [] }
The hosted server (https://mcp.generect.com) runs under PM2 on the host, fronted by nginx (TLS). The process is defined by ecosystem.config.js:
npm ci && npm run build
pm2 start ecosystem.config.js # or: pm2 reload ecosystem.config.js
pm2 save # persist the process list for reboot
# once, as root, so it survives reboots:
# pm2 startup systemd -u mcp_user --hp /home/mcp_user
Single instance only. OAuth state (registered clients, auth codes) and MCP sessions are held in memory, so the server must run as one instance. Scaling horizontally requires a shared store (e.g. Redis) first — see ecosystem.config.js.
Required secrets (fail-closed). In production (NODE_ENV=production) the server refuses to start unless JWT_SIGNING_KEY is set to a strong, non-default value; it never falls back to a hardcoded default or an ephemeral key. TOKEN_ENCRYPTION_KEY, if set, must be exactly 64 hex characters (32 bytes).
Docker is supported for local/alternative runs. Build locally:
docker build -t ghcr.io/generect/generect_mcp:local .
Run the server in a container (note: the same production secrets are required — an insecure default will cause the container to exit at startup):
docker run --rm \
-e NODE_ENV=production \
-e GENERECT_API_BASE=https://api.generect.com \
-e GENERECT_API_KEY="Token YOUR_API_KEY" \
-e JWT_SIGNING_KEY="a-strong-random-secret" \
-e TOKEN_ENCRYPTION_KEY="0123456789abcdef0123456789abcdef0123456789abcdef0123456789abcdef" \
-e OAUTH_BASE_URL=https://your-domain.com \
-p 3000:3000 \
ghcr.io/generect/generect_mcp:local
Some MCP clients allow spawning the server via SSH, using stdio over the SSH session. Example config:
{
"mcpServers": {
"generect-remote": {
"command": "ssh",
"args": [
"user@remote-host",
"-T",
"node",
"/opt/generect_mcp/dist/server.js"
],
"env": {
"GENERECT_API_BASE": "https://api.generect.com",
"GENERECT_API_KEY": "Token YOUR_API_KEY",
"GENERECT_TIMEOUT_MS": "300000"
}
}
}
}
npm run health -- <api-key>
npm run mcp:client -- <api-key>
TOKEN_ENCRYPTION_KEY (or derived from JWT_SIGNING_KEY)JWT_SIGNING_KEY, and never publishes symmetric key material in the JWKSMCP_LOG_PAYLOADS=1 to opt in)explorium-ai/vibeprospecting-mcp
io.github.compuute/lead-enrichment
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io.github.br0ski777/company-enrichment
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