Every listed MCP server and skill. Filter by where it runs, what it needs, and how it is licensed.
1–12 of 20 tools for “evals”
Clear allCode, Build and Evaluate agents - excellent Model and Skills/MCP/ACP/A2A Support
python/Apache-2.0/★ 3.9k/no key
Hands-on, framework-free Colab notebooks for the AI Engineer / Forward Deployed Engineer (FDE) skill set — model APIs, structured output, tool calling, RAG, evals-as-the-spine, agents (loop from scrat
skill/MIT/★ 698/no key
Optimize any AI agent’s skills, tools/MCP, and prompts against your own evals.
skill/Apache-2.0/★ 65/no key
CLI for benchmarks & evals of AI coding agents — on tasks you already understand, using your Claude / Codex / Gemini individual subscriptions or API keys.
skill/MIT/★ 14/no key
The definitive OpenAI, Claude, MCP, Harness, Evals, and Production Agent Systems learning roadmap.
skill/MIT/★ 552/no key
Build, Evaluate, and Optimize AI Systems. Includes evals, RAG, agents, fine-tuning, synthetic data generation, dataset management, MCP, and more.
mcp/link only/★ 5.2k
Awesome list for AI agent harness engineering: tools, patterns, evals, memory, MCP, permissions, observability, and orchestration.
mcp/link only/★ 4.8k
Open-source memory and context for user-aware agents: scoped memory, provenance, retrieval quality, correction, boundaries, evals, and MCP/HTTP access.
skill/MIT/★ 220/no key
Testing and evaluation platform to chat, inspect, and debug MCP servers, MCP apps, and ChatGPT apps.
mcp/link only/★ 2.3k
Composable Pi coding agent with MCP, LSP, agent chains, prompt presets, and local eval telemetry
skill/MIT/★ 136/no key
The model is the engine; the harness is the car. Curated knowledge on harness engineering — context management, tool design, agent loops, memory, sandboxing, evals. EN/中文
skill/CC0-1.0/★ 153/no key
Who stands behind it
Who stands behind it
