trac-mcp-server

trac-mcp-server

Enables AI agents to manage Trac projects with full CRUD operations on tickets, wiki pages, and milestones via the Model Context Protocol.

Category
访问服务器

README

<p align="center"> <img src="img/trac_mcp_server_banner_dark_1280.png" alt="trac-mcp-server banner" /> </p>

trac-mcp-server

Standalone MCP server that gives AI agents full access to Trac project management -- tickets, wiki, milestones, and search -- via the Model Context Protocol.

Quick Start

pip install .

Set your Trac connection:

export TRAC_URL="https://trac.example.com"
export TRAC_USERNAME="your-username"
export TRAC_PASSWORD="your-password"

Run the server:

trac-mcp-server

Configuration

Configuration via environment variables, .env file, or YAML config file (.trac_mcp/config.yaml):

Variable Required Default Description
TRAC_URL Yes -- Trac instance URL
TRAC_USERNAME Yes -- Trac username
TRAC_PASSWORD Yes -- Trac password
TRAC_INSECURE No false Skip SSL verification (development only)
TRAC_DEBUG No false Enable debug logging
TRAC_MAX_PARALLEL_REQUESTS No 5 Max parallel XML-RPC requests
TRAC_MAX_BATCH_SIZE No 500 Max items per batch operation (1-10000)

For YAML config file format and advanced options, see Configuration Reference.

MCP Client Integration

Claude Desktop

Add to claude_desktop_config.json:

{
  "mcpServers": {
    "trac": {
      "command": "trac-mcp-server",
      "env": {
        "TRAC_URL": "https://trac.example.com",
        "TRAC_USERNAME": "your-username",
        "TRAC_PASSWORD": "your-password"
      }
    }
  }
}

Claude Code

claude mcp add trac -e TRAC_URL=https://trac.example.com \
  -e TRAC_USERNAME=your-username \
  -e TRAC_PASSWORD=your-password \
  -- trac-mcp-server

Other MCP Clients

Any MCP client that supports stdio transport can launch trac-mcp-server as a subprocess. Pass Trac credentials via environment variables.

Available Tools (27)

Tickets (11)

Tool Description
ticket_search Search tickets with Trac query language
ticket_get Get ticket details by ID
ticket_create Create new tickets
ticket_update Update existing tickets
ticket_delete Delete tickets
ticket_changelog Get ticket change history
ticket_fields List available ticket fields
ticket_actions Get available ticket actions
ticket_batch_create Create multiple tickets in one batch
ticket_batch_delete Delete multiple tickets in one batch
ticket_batch_update Update multiple tickets in one batch

Wiki (6)

Tool Description
wiki_get Get wiki page content (with Markdown conversion)
wiki_search Search wiki pages
wiki_create Create new wiki pages
wiki_update Update existing wiki pages
wiki_delete Delete wiki pages
wiki_recent_changes List recent wiki changes

Wiki Files (3)

Tool Description
wiki_file_push Push local file to wiki (auto format conversion)
wiki_file_pull Pull wiki page to local file
wiki_file_detect_format Detect content format (Markdown/TracWiki)

Milestones (5)

Tool Description
milestone_list List all milestones
milestone_get Get milestone details
milestone_create Create new milestones
milestone_update Update existing milestones
milestone_delete Delete milestones

System (2)

Tool Description
ping Test connectivity and return API version
get_server_time Get Trac server time

Development

pip install -e ".[dev]"
pytest tests/ -v

Project Structure

src/trac_mcp_server/
  config.py       # Environment variable configuration
  core/           # Trac XML-RPC client, async utilities
  mcp/            # MCP server, tools, resources
  converters/     # Markdown <-> TracWiki conversion
  detection/      # Content format detection

Documentation

See docs/reference/overview.md for detailed tool reference, configuration, and troubleshooting.

推荐服务器

Baidu Map

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。

官方
精选
JavaScript
Playwright MCP Server

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。

官方
精选
TypeScript
Magic Component Platform (MCP)

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。

官方
精选
本地
TypeScript
Audiense Insights MCP Server

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。

官方
精选
本地
TypeScript
VeyraX

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。

官方
精选
本地
graphlit-mcp-server

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。

官方
精选
TypeScript
Kagi MCP Server

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。

官方
精选
Python
e2b-mcp-server

e2b-mcp-server

使用 MCP 通过 e2b 运行代码。

官方
精选
Neon MCP Server

Neon MCP Server

用于与 Neon 管理 API 和数据库交互的 MCP 服务器

官方
精选
Exa MCP Server

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。

官方
精选