atbridge

atbridge

Local MCP server for Thunderbird: read, search, and send emails and manage calendars, contacts, notes, and tasks across every mailbox (Gmail, Outlook, IMAP). Runs on your machine and talks to your Thunderbird locally — reads are open, writes are gated behind ATBRIDGE_ALLOW_WRITES.

Category
Visit Server

README

atbridge

Your private AI suite for emails, calendars, contacts, notes & tasks — in Thunderbird, over MCP, or from the CLI. Runs on your own machine, works with any AI, no cloud middleman.

Website: atbridge.ai · Docs: atbridge.ai/docs

atbridge turns Thunderbird into one AI-driven workspace for emails, calendars, contacts, notes, and tasks — across every account you already have (Gmail, Outlook, iCloud, self-hosted / IMAP). Manage it all with the AI of your choice — from inside Thunderbird, from Claude Desktop or your IDE over MCP, or from the command line (CLI). MCP and the CLI are separate surfaces: MCP exposes atbridge as tools to an AI client, while the CLI runs atbridge commands directly in your shell, scripts, and CI.

Why atbridge

  • 🔒 Private & local-first. Everything runs on your machine. Your messages and API keys never route through atbridge's servers — a model only ever receives what you choose to send it.
  • 🤖 Any AI, no lock-in. 12 providers, including a fully private local model via Ollama (see below).
  • 🖥️ Three surfaces, one binary. The built-in atbridge panel in Thunderbird, an MCP server for AI clients and IDEs, and a CLI for scripts and CI.
  • 📝 atbridge Notes. A local markdown workspace with linked notes and voice memos the AI can read and write.
  • ⚡ Measurably leaner. Because it talks to Thunderbird locally instead of proxying your mailbox through a cloud, it's ~20× faster per operation and 3.5× cheaper per fetch (72% fewer input tokens) than a cloud Gmail MCP bridge. Methodology →

Use atbridge as an MCP server

atbridge exposes its mail / calendar / contacts / notes / tasks operations as MCP tools. Add it to any MCP client (Claude Desktop, Cursor, VS Code, JetBrains, Antigravity):

{
  "mcpServers": {
    "atbridge.ai": { "command": "atbridge", "args": ["mcp"] }
  }
}

Reads are enabled by default; to unlock write tools (send, reply, forward, move, delete, calendar/contact edits) add "env": { "ATBRIDGE_ALLOW_WRITES": "1" } and restart the client. Or let atbridge write the entry for you: atbridge mcp setup --client claude|cursor|vscode|jetbrains|antigravity.

Requirements: atbridge is a local MCP server for Thunderbird — it talks to your running Thunderbird via a native-messaging bridge. It needs Thunderbird + the atbridge add-on installed (atbridge bridge install), not a remote endpoint. It is not a hosted/cloud server and is not distributed via npm/pip — install the signed binary from atbridge.ai first.

Full machine-readable tool reference: llms-mcp.txt · CLI reference: llms-cli.txt

Supported AI providers

OpenAI · Anthropic Claude · Google Gemini · Mistral · DeepSeek · Moonshot Kimi · xAI Grok · Groq · OpenRouter · NVIDIA · any OpenAI-compatible endpoint · Ollama (fully local, private).

You can also drive the in-Thunderbird atbridge chat with an AI CLI you already have — Claude Code, OpenAI Codex, or Antigravity — using your existing subscription (BYO compute, no API key).

Install

# macOS / Linux
curl -fsSL https://atbridge.ai/install.sh | sh

# Windows (PowerShell)
irm https://atbridge.ai/install.ps1 | iex

Then install the native bridge into Thunderbird: atbridge bridge install. Full setup guides (Claude Desktop, Cursor, and more): atbridge.ai/docs.

Three ways to use it

  • Inside Thunderbird — the atbridge AI Chat panel, branded HTML email compose, deterministic Skills, and atbridge Notes.
  • Over MCP — Claude Desktop, Cursor, VS Code, JetBrains, Antigravity, or your own agents. No Thunderbird UI required once the bridge is installed.
  • From the CLI — every operation scriptable for shell, cron, and CI.

Pricing

Free to start; Personal and Pro plans for power users. See atbridge.ai/pricing.

Links

  • Website — https://atbridge.ai
  • Documentation — https://atbridge.ai/docs
  • LLM-readable overview — https://atbridge.ai/llms.txt

About

atbridge is a proprietary, commercial product distributed as signed binaries for macOS, Linux, and Windows. This repository is the product's public home and documentation; it does not contain the application source. Available in 23 UI languages.

© 2026 atbridge. All rights reserved. Questions: contact@atbridge.ai

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured