Cold Mail Agent MCP
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@Cold Mail Agent MCPGuidance for cold email to a hiring manager"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Cold Mail Agent MCP
Cold Mail Agent MCP gives an AI client a focused cold-outreach playbook: a writing engine, proven style patterns, channel and follow-up guidance, voice options, use-case guidance, and a required humanizer pass. It is a public, read-only Cloudflare Worker that implements the Model Context Protocol (MCP) over Streamable HTTP.
What it does
The server exposes one tool, cold_email_guidance. Your MCP client calls it
with the outreach task it is working on. The tool returns the Cold Mail Agent
playbook and its public references so the client can draft, revise, and
humanize a genuinely specific email.
The MCP server does not send email, access inboxes, store contacts, scrape recipients, or invent personal details. The connected AI client remains responsible for writing the final response and using any other tools.
Tool | Input | Returns |
|
| The request plus the complete public writing playbook |
Related MCP server: Cold Email & Outreach MCP Server
How it works
The examples below are fictional illustrations. They show the difference between generic cold outreach and an AI client that first loads the MCP's guidance. They are not claims about a specific model's output.
Without focused guidance
A generic assistant often starts with vague praise, spends too long on the sender, and asks for a meeting before earning the recipient's attention.
With Cold Mail Agent MCP
The client loads the playbook before it drafts. That guidance emphasizes a true personalization hook, a compact proof point, a low-friction ask, and a final humanizer pass.
The resulting email is still the client's work, but it is calibrated against a clearer system: do the work first, keep the writing simple, and never fake a fact or personalization.
Connect
Use this public endpoint in an MCP client that supports Streamable HTTP:
https://cold-mail-agent-mcp.cold-mail-agent.workers.dev/mcpThe server does not require authentication. Your client must support MCP over
HTTP and send standard JSON-RPC requests to /mcp.
{
"mcpServers": {
"cold-mail-agent": {
"url": "https://cold-mail-agent-mcp.cold-mail-agent.workers.dev/mcp"
}
}
}Client configuration formats vary. Use your client's documentation to add a
remote MCP server, then use cold_email_guidance before drafting or revising
an email to someone you do not already know.
Develop
You need Node.js 22 or later and a Cloudflare account for deployment. Install dependencies, start a local Worker, and connect your client to the local URL.
npm install
npm run devThe local endpoint is http://localhost:8788/mcp.
Run the repository checks and a Worker bundle dry run before opening a pull request:
npm run checkFor deployment steps and production verification, read the development guide.
Privacy and public content
This repository is public because the deployed Worker reads the approved
playbook files from content/ at runtime. The public material includes only
writing guidance and examples.
Do not add lead lists, contact data, private notes, API keys, client prompts, or credentials to this repository. Read the security policy before reporting a vulnerability or proposing a data-handling change.
Documentation
The documentation describes the server contract and operating model:
License
This project is available under the MIT License.
This server cannot be deployed
Maintenance
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