outreach-mcp-server

An MCP (Model Context Protocol) server that exposes the core capabilities of outreach-agent — a Python cold outreach agent using the Anthropic API and Gmail API — as standard MCP tools.

Instead of a one-off script that only I can run, this lets any MCP client (Claude Desktop, Claude.ai, or any other MCP-compatible agent host) connect and call the same drafting and dedup logic directly, with no custom integration code per client.

Tools

• check_contact_history(name) — checks whether a person is already queued, drafted, or missing an email in the outreach pipeline, to prevent duplicate outreach.

• draft_outreach_email(name, role, institution, research_area, email, notes) — drafts a personalized cold outreach email using the agent's tone rules and prior send/reply performance data as context. Returns the draft only; does not send anything.

• get_outreach_performance_summary() — returns a summary of what has and hasn't worked, learned from past email outcomes.

Related MCP server: LeadClaw

Why MCP instead of just tool-calling

The underlying outreach-agent project already does tool-calling: Claude decides to draft an email, my code executes it. MCP is a layer above that — it turns those same capabilities into a discoverable server that any MCP client can plug into, without me writing custom glue code for each one. This repo is that server.

Setup

pip install mcp anthropic python-dotenv
export ANTHROPIC_API_KEY=sk-...
python3 server.py

demo_targets.csv, demo_drafted.csv, and demo_memory.md are synthetic sample data (not real contacts) included so the server is runnable and testable out of the box. Point TARGETS_CSV / DRAFTED_CSV / MEMORY_MD in server.py at real pipeline files to use it against the live agent's data.

Testing

test_client.py spins up a real MCP client over stdio, lists the registered tools, and calls each one — a quick way to verify the server works end to end without needing a full MCP host like Claude Desktop.

python3 test_client.py