Click on "Install 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., "@Basic MCP Server show me the history resource"
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.
This repository is retained as a permanent pointer for old links. The maintained AgentMail hosted MCP source now lives at agentmail-to/agentmail-mcp.
Hosted endpoint: https://mcp.agentmail.to/mcp
Documentation: https://docs.agentmail.to/integrations/mcp
npm stdio compatibility bridge: https://www.npmjs.com/package/agentmail-mcp
PyPI stdio compatibility bridge: https://pypi.org/project/agentmail-mcp/
Smithery is an optional listing and gateway for the canonical hosted server, not a separate AgentMail MCP implementation. No maintained source or independent deployment lives in this repository.
Historical source remains in Git history for audit. Do not reuse this repository name.
Recent tool additions, removals, and schema changes observed during successful MCP inspections. Dates show when Glama detected each change.
No tool schema history has been recorded yet.
This server cannot be installed
Unclaimed servers have limited discoverability.
If you are the server author, to access and configure the admin panel.
Nifty's MCP server — exposes tasks, projects, messages, and files as tools for AI agents.
MCP server for progressive tool usage at any scale (see https://klavis.ai)
We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/agentmail-to/agentmail-smithery-mcp'
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