# DevAssist MCP Server

> DevAssist MCP Server — champion-2006-devassist-mcp-server. Use this tool when you need to integrate AI assistants with GitHub and competitive programming platforms, enabling them to fetch user data, repository statistics, and contest history, and provide personalized problem recommendations through a production-ready server interface. It solves problems of data access and personalized content generation for AI-powered coding assistants. Ideal for use cases where AI-driven coding support and competitive programming insights are required.

Canonical page: https://skillsregistry.net/skills/champion-2006-devassist-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/champion-2006-devassist-mcp-server

## Description

A production-ready MCP server for GitHub and competitive programming (Codeforces) that enables AI assistants to fetch user profiles, repository stats, contest history, and personalized problem recommendations.

## Trust

- **Trust score (0–1):** 0.67
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/g1eglu51io)
- **Repository:** <https://github.com/Champion-2006/DevAssist-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": "champion-2006-devassist-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/champion-2006-devassist-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/champion-2006-devassist-mcp-server/pull`

---
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