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outreach-mcp-server

by arnask11
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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: smartlead-cli

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

This server cannot be deployed

One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

Maintenance

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