# traQ

> Use this tool when you need to integrate AI capabilities with the traQ chat platform, enabling interaction with its messaging ecosystem to retrieve information about channels, messages, and users. It solves problems related to accessing and filtering traQ data, such as searching for specific messages or user information. With a clean and type-safe interface, it provides standardized MCP tools for querying traQ's API resources.

Canonical page: https://skillsregistry.net/skills/mazrean-traq  
JSON: https://api.skillsregistry.net/v1/skills/mazrean-traq

## Description

Provides a bridge to the traQ chat platform, enabling AI assistants to interact with traQ's messaging ecosystem through a set of standardized MCP tools. Supports retrieving information about channels, messages, users, stamps, and pins with flexible search and filtering capabilities. Built using Deno and the Model Context Protocol SDK, this implementation offers a clean, type-safe interface for querying traQ's API resources.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-09-28

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/mazrean-traq)
- **Repository:** <https://github.com/trap-jp/mcp-traq>

## 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": "mazrean-traq"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/mazrean-traq` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/mazrean-traq/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