AI evaluation & benchmarks MCP servers

A server here evaluates, tests or benchmarks AI models or agents, or provides benchmark tasks for them.

Not here: testing ordinary software.

752servers
439 remote313 localTagged by Odel's AI, which can make mistakes
By GitHub stars, at most two per publisher
  1. Number 1: Polymarket Paper Trader@agent-next/polymarket-paper-traderPolymarket paper trading for AI agents: $10k paper money, real order books, official fees.6% chance this is malicious. Assessed by AI, which can make mistakes.Runs on your machine, installed from PyPI.453 GitHub stars.
  2. Number 2: Watch Skill@oxbshw/watch-skillWatch video and live sessions, keep timestamped evidence, and verify an agent's own work.7% chance this is malicious. Assessed by AI, which can make mistakes.Runs on your machine, installed from PyPI.438 GitHub stars.
  3. Number 3: OrcaReplay@continuum-ai-corp/orcareplayRead, replay and fork recorded coding-agent runs.4% chance this is malicious. Assessed by AI, which can make mistakes.Runs on your machine, installed from npm.283 GitHub stars.

Best fit

400 made for this, ranked by starsRemoteLocal
  1. Evalview @hidai25/evalview-mcpRegression testing for AI agents. Golden baselines, CI/CD, LangGraph, CrewAI, OpenAI, Claude.4% chance this is malicious. Assessed by AI, which can make mistakes.Runs on your machine, installed from PyPI.137 GitHub stars.
  2. Hwatu @hongnoul/hwatuVerification browser for coding agents: headless WebKit, DOM eval, screenshots, pixel-diff.6% chance this is malicious. Assessed by AI, which can make mistakes.Runs on your machine, installed from MCPB.115 GitHub stars.
  3. Proctor @pulsemcp/proctorMCP server for running Proctor exams against MCP servers with exam execution and result management.6% chance this is malicious. Assessed by AI, which can make mistakes.Runs on your machine, installed from npm.81 GitHub stars.
  4. Misata: synthetic data library @rasinmuhammed/misataLocal, offline: multi-table synthetic data with joins that hold and exact totals. Seeds databases.4% chance this is malicious. Assessed by AI, which can make mistakes.Runs on your machine, installed from PyPI.69 GitHub stars.
  5. DOS — the trust substrate for agent fleets @anthony-chaudhary/dos-kernelVerify what agents actually shipped, arbitrate file collisions, refuse with structured reasons.4% chance this is malicious. Assessed by AI, which can make mistakes.Runs on your machine, installed from PyPI.20 GitHub stars.
  6. RAGScore @hzyai/ragscoreGenerate QA datasets & evaluate RAG systems with failure diagnosis. Any LLM.5% chance this is malicious. Assessed by AI, which can make mistakes.Runs on your machine, installed from PyPI.15 GitHub stars.
  7. Glassbox Framework @thebarmaeffect/glassbox-frameworkRuntime constitutional verification for AI answers — claim reasoning, ECS, red team, audits.8% chance this is malicious. Assessed by AI, which can make mistakes.Runs on your machine, installed from npm.11 GitHub stars.
  8. Ducklab @jrullan/ducklabMulti-LLM dev harness, MCP-operable: bugs, cycles, gates. Verdicts are exit codes, never opinions.6% chance this is malicious. Assessed by AI, which can make mistakes.Runs on your machine, installed from MCPB.9 GitHub stars.
  9. Iris @iris-eval/mcp-serverStop shipping agents on vibes. Score every agent output for quality, safety, and cost.5% chance this is malicious. Assessed by AI, which can make mistakes.Runs on your machine, installed from npm.9 GitHub stars.
  10. Metrillm @metrillm/metrillmBenchmark local LLM models — speed, quality & hardware fitness verdict from any MCP client7% chance this is malicious. Assessed by AI, which can make mistakes.Runs on your machine, installed from npm.8 GitHub stars.
  11. GroundLens @groundlens-dev/groundlensVerify AI answers and executions and seal signed, offline-verifiable evidence records.5% chance this is malicious. Assessed by AI, which can make mistakes.Runs on your machine, installed from PyPI.7 GitHub stars.
  12. designfit @as9978/designfitValidate AI-built front-ends against Figma by tokens and geometry, not pixels.4% chance this is malicious. Assessed by AI, which can make mistakes.Runs on your machine, installed from npm.6 GitHub stars.
  13. Assurance @i-ops-hq/assurance-mcpChecks what an agent did NOT read. Coverage over a retrieval step or a folder.5% chance this is malicious. Assessed by AI, which can make mistakes.Runs on your machine, installed from PyPI.6 GitHub stars.
  14. PokéArena @shaumik/pokearenaPlay a real 6v6 Pokémon battle. Runs entirely in-process: no server, no API key, no setup.5% chance this is malicious. Assessed by AI, which can make mistakes.Runs on your machine, installed from MCPB.4 GitHub stars.
  15. chauffeur @yashnaj/chauffeurDrive the iOS Simulator from a coding agent, with every action verified.4% chance this is malicious. Assessed by AI, which can make mistakes.Runs on your machine, installed from MCPB.3 GitHub stars.
  16. Jev @aitejiu/jevJev judgments for agents: injection scanning, shell risk gating, ranking7% chance this is malicious. Assessed by AI, which can make mistakes.Runs on your machine, installed from PyPI.3 GitHub stars.
  17. Csoai @csoai-org/csoaiSigned deterministic AI-governance measurement: EU AI Act cards + agent-callable record verify.5% chance this is malicious. Assessed by AI, which can make mistakes.Runs on your machine, installed from PyPI.3 GitHub stars.
  18. Reelier @seldonframe/reelierSnapshot tests and CI for agent workflows: record a run, replay it at 0 tokens, diff for drift.3% chance this is malicious. Assessed by AI, which can make mistakes.Runs on your machine, installed from npm.3 GitHub stars.
  19. Browserbash @pramoddutta/browserbashPlain-English browser tests for AI agents: real Chrome, deterministic verdicts. Free, no API keys.5% chance this is malicious. Assessed by AI, which can make mistakes.Runs on your machine, installed from npm.3 GitHub stars.
  20. Forkmind @medhovarsh/forkmindBranchable LLM history DAG + encrypted context capsules agents can save, restore, and crypto-shred.4% chance this is malicious. Assessed by AI, which can make mistakes.Runs on your machine, installed from npm.3 GitHub stars.
  21. Embodify @yidayang/embodifyGive your agent a body: observe and control simulated robots (LIBERO, RoboDojo) over MCP.4% chance this is malicious. Assessed by AI, which can make mistakes.Runs on your machine, installed from PyPI.2 GitHub stars.

Also touches on AI evaluation & benchmarks

159 where it is one part of a bigger job