Leadenrich MCP
Waterfall lead enrichment for AI agents. Cascades through Apollo, Clearbit, and Hunter to build the most complete lead profile in a single call. Its 6 documented tools cover enrich, check. It runs locally over stdio via the published package.
People connecting this server to Claude, Cursor, VS Code, or another MCP client. The project is written in Python.
VERIFIED ACTIVE
LAST COMMIT 2026-08-21 · ★ 2 · #435 OF 848 MAINTAINED OTHER · VERIFIED 2026-08-25
Python servers · how we verify → /methodology
01 · Install Leadenrich MCP
before you install - you'll need
Set APOLLO_API_KEY, CLEARBIT_API_KEY, HUNTER_API_KEY before connecting.
Claude Code
claude mcp add carsonroell-debug-leadenrich-mcp -- uvx leadenrich-mcp Claude Desktop / Cursor / VS Code - add to config
{
"mcpServers": {
"carsonroell-debug-leadenrich-mcp": {
"command": "uvx",
"args": [
"leadenrich-mcp"
]
}
}
} Same JSON for Cursor. For VS Code, rename the top-level key from `mcpServers` to `servers`.
Using another client? Same JSON, different key
Claude Desktop · mcpServers
Cursor · mcpServers
VS Code · servers
Windsurf · mcpServers
Zed · context_servers
Cline · mcpServers
Roo Code · mcpServers
Continue · mcpServers
LibreChat · mcpServers
Gemini CLI · mcpServers
Codex CLI · mcp_servers
Full setup guides: every client.
02 · Evidence
Security posture
What to check before giving this server access to your agent - from the registry, GitHub, and our own probes. We don't score safety; we show what's verifiable.
runs as local process (stdio) - runs on your machine with your user's permissions
license no standard license detected - usage rights unclear; check the repo before commercial use
pypi package leadenrich-mcp - check the name against the project README before installing (PyPI has no namespace ownership)
registry namespace io.github.carsonroell-debug is GitHub-verified and matches the repo owner
03 · What Leadenrich MCP can do
Prose above is summarized from the project's README and registry record - no invented capabilities.
What you can build
An agent gets 6 documented tools spanning enrich, check, including enrich_lead, find_email, enrich_company, enrich_batch.
Capability map
Tools grouped from the project's README - what Leadenrich MCP lets an agent do.
Enrich
3 tools - e.g. Full waterfall enrichment for a single lead (email, domain, or name+domain); Company firmographic data by domain (industry, size, revenue, etc.); Batch enrich up to 25 leads concurrently
enrich_lead · enrich_company · enrich_batch
read & search
1 tool - e.g. Discover an email from first name + last name + company domain
find_email
Check
1 tool - e.g. Quota, cost tracking, and remaining lookups
check_usage
Health
1 tool - e.g. Server status, configured providers, and cache stats
health_check
04 · Who maintains Leadenrich MCP
leadenrich-mcp is maintained by carsonroell-debug. We track 4 MCP servers from carsonroell-debug - 4 actively maintained, 2 combined GitHub stars, oldest repo from Apr 2026.
05 · Facts
- repository
- github.com/carsonroell-debug/leadenrich-mcp
- category
- other - ranked #435 of 848 actively-maintained other servers as of 2026-08-25.
- registry
- io.github.carsonroell-debug/leadenrich-mcp (active, first published 2026-04-06)
- packages
- pypi:leadenrich-mcp
06 · Leadenrich MCP FAQ
Is Leadenrich MCP still maintained?
Yes - as of 2026-08-25, its last commit was 2026-08-21. We re-verify nightly.
What can Leadenrich MCP do?
An agent gets 6 documented tools spanning enrich, check, including enrich_lead, find_email, enrich_company, enrich_batch.
How do I install Leadenrich MCP?
Run `uvx leadenrich-mcp`. The README documents 3 environment variables (APOLLO_API_KEY, CLEARBIT_API_KEY, HUNTER_API_KEY) to set first. Set APOLLO_API_KEY, CLEARBIT_API_KEY, HUNTER_API_KEY before connecting. You can also paste the ready-made client config above.
Does Leadenrich MCP run locally?
Yes - it's a stdio server: it runs on your machine (via uvx) with your user's permissions. Your data stays local unless the server itself calls external APIs.
07 · Alternatives to Leadenrich MCP
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