GitHub MCP
Connect repository context, issues and pull requests to your AI workflow. Keep changes behind your normal review process.
GitHub repositories from the collection. Explore source code, setup guides and examples; check each project before you run it.
How to evaluate a repository ↗
Share your AI tool, MCP server or agent. Free to submit, with human review.
Describe a task to get an explained shortlist and a practical next step.
Connect repository context, issues and pull requests to your AI workflow. Keep changes behind your normal review process.
Let an assistant interact with a browser for repeatable checks and exploration. Use a test account and a clearly bounded task.
Look up library documentation to give coding assistants more relevant context. Check the version before applying examples.
A framework for building systems of collaborating agents. Define clear responsibilities, limits and review points.
Build stateful agent workflows with an explicit structure. Useful when a process needs more control than a single prompt.
Scan for potential secrets in code and repositories. Treat findings as a starting point for investigation and credential rotation.
Explore examples of reusable agent instructions. Read the skill and any scripts before adding it to your own workflow.
Build visual workflows that connect app actions, AI steps and agents.
Build agent and language-model workflows with a visual interface.
Build Python agents with typed inputs, outputs and tool integrations.
Build browser automation using an SDK with AI-assisted interactions and extraction.
Connect agents to app toolkits with authentication and tool management.
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