thunderbird-mcp-server
Centralizes Thunderbird email operations as MCP tools: read, send, draft, search, attachments.
README
Thunderbird MCP Server v0.2.0
Centralizes Thunderbird email operations as MCP tools: read, send, draft, search, attachments.
Status
| Aspect | State |
|---|---|
| Core development | Complete |
| Unit tests | 5/5 PASS |
| Deployment | Active (opencode MCP) |
| Agent integration | communication-drafter (draft-only) |
Tools
| Tool | Description | Agent access |
|---|---|---|
tb_list_folders |
List available Thunderbird mail folders | ✅ read |
tb_read_messages |
Read messages from a folder with pagination | ✅ read |
tb_search_messages |
Search messages by keyword | ✅ read |
tb_download_attachments |
Download attachments from a message | ✅ read |
tb_draft_message |
Create a draft email in Thunderbird | ✅ write |
tb_send_message |
Send email via Thunderbird compose command | ❌ forbidden |
Configuration
Environment variables:
THUNDERBIRD_PROFILE_DIR— Thunderbird profile directory (default: ~/.thunderbird)THUNDERBIRD_MAIL_DIR— Local mail data directory (default: ~/Downloads/thunderbird.tmp)THUNDERBIRD_SEND_COMMAND— Command to invoke Thunderbird (default: thunderbird)THUNDERBIRD_DEFAULT_ACCOUNT— Default account identifier (optional)THUNDERBIRD_DRAFT_FOLDER— Drafts folder name (default: Drafts)
Installation
Due to PEP 668 restrictions, use PYTHONPATH approach:
export PYTHONPATH=src
python3 -m thunderbird_mcp_server
Or use the provided wrapper:
bash run.sh
Development:
.venv/bin/pip install -e ".[dev]"
Running
bash run.sh
# or directly with PYTHONPATH:
PYTHONPATH=src python3 -m thunderbird_mcp_server
Testing
PYTHONPATH=src .venv/bin/pytest tests/ -v
Test coverage:
test_list_folders— discovers mbox folders from temp mail dirtest_read_messages— parses mbox with verified subject/body extractiontest_search_messages— keyword search across folderstest_list_folders_uses_unique_relative_names— multi-account path deduptest_modified_utf7_folder_name_decoding— IMAP modified UTF-7 decoding (e.g. Chinese folder names)
Integration with opencode
Registered in .opencode/opencode.json:
{
"mcp": {
"thunderbird-mcp-server": {
"type": "local",
"command": ["bash", "/home/gw/opt/thunderbird-mcp-server/run.sh"],
"enabled": true,
"environment": {
"THUNDERBIRD_PROFILE_DIR": "/home/gw/snap/thunderbird/common/.thunderbird/34p30y9x.default",
"THUNDERBIRD_MAIL_DIR": "/home/gw/snap/thunderbird/common/.thunderbird/34p30y9x.default/ImapMail",
"THUNDERBIRD_SEND_COMMAND": "/snap/bin/thunderbird"
}
}
}
}
Agent integration: communication-drafter is the sole authorized agent, granted read/search/draft tools only. tb_send_message is forbidden at the static check level (scripts/check_agent_tool_budget.py). Sending remains a manual user action.
Architecture
config.py— ThunderbirdConfig dataclass, reads from env varsclient.py— ThunderbirdClient: reads mbox folders, parses messages, sends via CLIserver.py— MCP Server with 6 tool definitions and stdio transporttools/— Shared tool parameter schemas
Limitations
- Large mbox timeout: Folders with thousands of messages (e.g. INBOX) may exceed MCP timeouts during read/search. Mitigation: use
limitandoffsetfor pagination, or target smaller subfolders. - Local mbox dependency: Read operations require Thunderbird to have downloaded mail locally (offline storage enabled). Folders with only
.msfindexes return placeholder messages. - Send is interactive:
tb_send_messageopens the Thunderbird compose window; it is not fully automated. This tool is explicitly denied to all agents — sending is a manual user action. - MSF-only folders: Return
[MSF index only — no message data]placeholder. - PEP 668:
pip install -e .is blocked; usePYTHONPATH=srcapproach. tb_send_messagedenied: Static check inscripts/check_agent_tool_budget.pyprevents any agent from being granted this tool.
推荐服务器
Baidu Map
百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。
Playwright MCP Server
一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。
Magic Component Platform (MCP)
一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。
Audiense Insights MCP Server
通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。
VeyraX
一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。
graphlit-mcp-server
模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。
Kagi MCP Server
一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。
e2b-mcp-server
使用 MCP 通过 e2b 运行代码。
Neon MCP Server
用于与 Neon 管理 API 和数据库交互的 MCP 服务器
Exa MCP Server
模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。