Lets the agent drive a real browser: open pages, click, type, take screenshots and read the accessibility tree, using Playwright. Runs locally from the @playwright/mcp npm package.
Gives the agent up-to-date documentation and code examples for libraries and frameworks, fetched on demand so answers are not stuck at the model's training cutoff. Runs locally from the @upstash/context7-mcp npm package.
Lets the agent read DeepWiki's AI-generated documentation of any public GitHub repository and ask questions about a codebase. Runs locally from the deepwiki-mcp npm package.
Lets the agent work with GitHub: search code, read and create issues and pull requests, and manage repositories through the GitHub API. Runs locally from the @modelcontextprotocol/server-github npm package.
AGENTS.md instructions for warpdotdev/warp, covering agents.md, development commands, build and run, running with local warp-server and connect to server on default port 8080.
Instructions for gsd-build/get-shit-done, covering repository guidelines, active discussions, project structure & module organization, build, test, and development commands and coding style & naming conventions.
Gives the agent up-to-date documentation and code examples for libraries and frameworks, fetched on demand so answers are not stuck at the model's training cutoff. Runs locally from the @upstash/context7-mcp npm package. Needs 1 environment variable to run.
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Instructions for coollabsio/coolify, covering agents.md, project overview, design reference, development environment and start dev environment (uses docker-compose.dev.yml).
Instructions for diegosouzapw/OmniRoute, covering omniroute agent guide, quick start, running tests, single test file (node.js native test runner — most tests) and vitest (mcp server, autocombo, cache).
AGENTS.md instructions for remotion-dev/remotion, covering setup commands, install dependencies (uses bun), build all packages, run tests and linting and clean build artifacts.
AGENTS.md instructions for BerriAI/litellm, a project described as: The fastest, litest AI Gateway. Rust core with Python SDK. Call 100+ LLM APIs in OpenAI (or native) format with cost tracking, guardrails, load balancing, and logging [Bedrock, Azure, OpenAI, Anthropic, OpenAI, VertexAI, vLLM, Nvidia NIM].
Instructions for stablyai/orca, covering design system, electron ui validation, style, reuse before reimplementing and concise/brief non-obvious comments only.