Server data from the Official MCP Registry
Codeforces MCP server for competitive programming, upsolving, and automated stress testing.
About
Codeforces MCP server for competitive programming, upsolving, and automated stress testing.
Security Report
Valid MCP server (1 strong, 3 medium validity signals). No known CVEs in dependencies. ⚠️ Package registry links to a different repository than scanned source. Imported from the Official MCP Registry. 1 finding(s) downgraded by scanner intelligence.
10 files analyzed · 1 issue found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
Permissions Required
This plugin requests these system permissions. Most are normal for its category.
How to Install
Add this to your MCP configuration file:
{
"mcpServers": {
"io-github-avinash111921-codeforces-mcp": {
"args": [
"codeforces-mcp-avinash"
],
"command": "uvx"
}
}
}Documentation
View on GitHubFrom the project's GitHub README.
Codeforces MCP Server
A Model Context Protocol (MCP) server for Codeforces competitive programming. This server enables AI coding assistants (like Claude, Cursor, and Cline) to autonomously fetch problem statements, analyze your submission history, recommend upsolving targets, and run automated local stress tests.
Features
- Profile & Stats: Fetch live user ratings, ranks, and recent verdict breakdowns.
- Problem Scraping: Bypasses Cloudflare to extract full problem descriptions and exact sample test cases.
- Local Sandbox: Compiles and executes C++ or Python solutions locally against official sample inputs.
- Automated Stress Testing: Isolates minimal failing test cases by running your optimized code against a brute-force script and a random generator.
- Rate-Limit Safe: Built-in queuing and caching ensures you never hit the Codeforces API 1-request-per-2-seconds limit.
Installation & Usage
You can run this server seamlessly using uvx without manual installation. Add the following configuration to your preferred AI IDE.
Cursor
Add this to your MCP configuration (Settings > Features > MCP):
{
"mcpServers": {
"codeforces-mcp": {
"command": "uvx",
"args": ["codeforces-mcp"]
}
}
}
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