pulsemcp Safe content atomic mcp-remote

Notmuch Sendmail

This MCP server implementation, developed by an unnamed author, integrates Notmuch email management with sendmail functionality to provide AI-assisted email composition and sending capabilities. Built in Python using the FastMCP framework, it offers tools for searching email threads, viewing messages, and composing HTML emails with Markdown and LaTeX support. The implementation focuses on enhancing email workflows by leveraging AI to interact with local email databases and send messages. It's particularly useful for users who want to maintain control over their email data while benefiting from AI assistance in email management, composition, and sending tasks.

Cognium trust score

50%

Tier

Unverified

Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately.

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Metadata

Version: 1.0.0
Skill type: atomic
Execution layer: mcp-remote
Category: database
Source: PulseMCP
Repository: github.com/runekaagaard/mcp-notmuch-sendmail
Author type: human
Updated: 2026-04-25

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MCP

Resolve Notmuch Sendmail from your agent

Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.

One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.

claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp

Swap --scope user for --scope project to commit it to .mcp.json.

Your client Same endpoint everywhere; only the config key differs. The full list is in the descriptor.

Claude Desktop · Settings → Connectors → Add custom connector

https://api.skillsregistry.net/mcp

Paste the URL as the connector endpoint. No authentication.

ChatGPT · Settings → Connectors → Create (developer mode) → MCP server URL

https://api.skillsregistry.net/mcp

Authentication: none. Works in chat and deep research — the server exposes the connector search and fetch tools.

Codex CLI · ~/.codex/config.toml

[mcp_servers.skillsregistry]
url = "https://api.skillsregistry.net/mcp"