codeforces-mcp
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Alternatives to codeforces-mcp
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Related Servers
- AlicenseAqualityBmaintenanceA complete, all-in-one MCP server for Codeforces, enabling AI assistants to access user profiles, compare users, search problems, get practice recommendations, and more.8MIT
- FlicenseNot gradedqualityCmaintenanceEnables analyzing Codeforces activity through local MCP tools, including weekly practice summaries, problem recommendations, user comparisons, weak-topic detection, contest tracking, and rating progress.-
- AlicenseNot gradedqualityCmaintenanceEnables AI agents to access Codeforces public data (users, contests, problems, etc.) via natural language or direct tool calls through Pipeworx gateway.4 npmMIT
- FlicenseNot gradedqualityBmaintenanceConnects Claude to the Codeforces public API, enabling retrieval of user submissions, profile info, rating history, contest standings, contest status, and contest lists through natural language.-
- AlicenseNot gradedqualityBmaintenanceA 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.MIT
- AlicenseNot gradedqualityCmaintenanceEnables AI assistants to interact with GitHub data and Codeforces competitive programming analytics, including profiles, repositories, commits, PRs, issues, contest history, weak-topic analysis, and problem recommendations.MIT
TDQS
Scored across 6 tools
Each tool targets a distinct concern: problem search, tag-based performance analytics, recent submissions, user profile, rating history, and upcoming contests. There is no meaningful overlap or ambiguity between any pair of tools.
All names share the codeforces_ prefix and use snake_case, which makes them easy to predict and group. The pattern is not strictly verb_noun throughout, but the deviations are minor and do not hurt readability.
Six tools is a well-scoped size for a Codeforces companion server. Each tool covers a meaningful aspect of Codeforces usage without redundancy or bloat.
The surface covers the main Codeforces workflows: finding problems, analyzing weaknesses, reviewing submissions, checking profile progression, and seeing upcoming contests. A direct problem-statement or contest-problem listing tool would improve completeness, but the current set has no critical dead ends.