# trac-mcp-server

> Use this tool when you need to manage Trac projects programmatically, enabling AI agents to perform create, read, update, and delete operations on tickets, wiki pages, and milestones. This tool solves problems related to automated project management, workflow optimization, and data integration via the Model Context Protocol. It accepts inputs in the form of MCP requests and outputs corresponding responses, making it ideal for use cases that require seamless interaction with Trac projects.

Canonical page: https://skillsregistry.net/skills/nerpatech-trac-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/nerpatech-trac-mcp-server

## Description

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

## Trust

- **Trust score (0–1):** 0.58
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/zkpl6179ie)
- **Repository:** <https://github.com/nerpatech/trac-mcp-server>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

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

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "nerpatech-trac-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/nerpatech-trac-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/nerpatech-trac-mcp-server/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt