Messaging and email · MCP server
Agent cold email: MCP server, setup and security
Agent cold email is an open-source MCP server published on GitHub that lets an AI agent set up cold email infrastructure and run sequences with reply handling. Its repository has 1 stars and its last commit is from September 25, 2026 and it is licensed under MIT.
What Agent cold email does
According to its repository: “Coldrig cold-email infrastructure run by your agent: buy domains, provision mailboxes, warm up, run sequences and handle replies.”
The Model Context Protocol (MCP) is a standard plug between an AI agent and an outside service: once the server is connected, its tools show up in the agent, which decides when to call them. Agent cold email is listed under Messaging and email, a category of 107 servers in the directory, where it ranks #101 by stars.
Topics declared by the repository: agent-native, ai-agents, claude-code, codex, cold-email, cold-email-mcp.
Installing and connecting Agent cold email
Distribution modes declared in the official MCP registry:
- npm package (Node.js, usually started with
npx) - remote server (streamable-http): you connect to it by URL, with nothing to install locally
It works with any MCP-compatible client (Claude Desktop, Claude Code, Cursor, VS Code, Codex and most recent agents). You add one entry to the client's MCP configuration: server name, start command or URL, environment variables. Project language: TypeScript.
The registry lists one secret variable to provide (API key, access token). Keep them in the client's environment variables, never in a shared file or a repository.
Security: what to check
Connecting an MCP server means installing software that talks straight to your agent: it runs with your rights and the model trusts its tool descriptions. The risk therefore depends on what it can touch and how far its code can be trusted.
Points found for Agent cold email:
- Secrets: the server acts with your credentials. Create a dedicated key with minimum rights and an expiry date.
Good practice: grant only the rights needed (least privilege), require human approval for irreversible actions, and run the AI agent security check.
Project activity and maintenance
Created on September 24, 2026, the YS-projectcalc/agent-cold-email repository has 1 stars and 0 forks, with 0 open issues. It has more stars than 7% of the servers in the directory. Last change 1 month ago. Version published in the registry: 0.2.5 (September 25, 2026).
Stars measure attention, not quality: a recent, heavily promoted project can collect them fast, while a useful but niche server will have few.
Verdict
Agent cold email is a reasonable choice; check the points below before connecting it.
Strengths
- Maintained by the service's own vendor
- Active project: recent commit
- Listed in the official MCP registry
- Usable remotely, without installation
- Permissive licence (MIT)
Limitations
- Requires an API key or token
- Few visible users
Avoid if…
- You do not want to give credentials to an agent
Alternatives
- Emailmd1.4K ★
- Vexa2.9K ★
- CometChat Docs129 ★
- Inbox Zero12.8K ★
- Microsoft 365 MCP Server1.1K ★
- Discourse MCP77 ★
Learn more
Frequently asked questions
How do I install Agent cold email?
Agent cold email is distributed as npm package (Node.js, usually started with npx) and a remote server. Add it to your client's MCP configuration (Claude Desktop, Cursor, VS Code…) following the README of YS-projectcalc/agent-cold-email.
Is Agent cold email free?
The code is published under the MIT licence and can be used free of charge. It needs an API key: the service it connects to may be paid.
Is Agent cold email safe?
Points to watch: secrets. Give it minimum rights and approve sensitive actions.
Is it an official server?
Yes: the awesome-mcp-servers list marks it as the service vendor's official implementation.
What are the alternatives to Agent cold email?
In the same category: Emailmd, Vexa, CometChat Docs, and Inbox Zero. Emailmd and Vexa score higher on our grid.
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Neutrality. No affiliate links. No vendor pays to be reviewed, rated or ranked. Reviews are directed by François Chollet, neutral and factual, and every data point is dated and sourced. How we score