Install in Cursor

\n\nGo to: `Settings` → `Cursor Settings` → `MCP` → `Add new global MCP server`\n\n```json\n{\n \"mcpServers\": {\n \"context-awesome\": {\n \"url\": \"https://www.context-awesome.com/api/mcp\"\n }\n }\n}\n```\n\n

\n\n

Install in Claude Code

\n\n```sh\nclaude mcp add --transport http context-awesome https://www.context-awesome.com/api/mcp\n```\n\n

\n\n

Install in Claude Desktop

\n\nSettings → Connectors → Add Custom Connector.\n\n- Name: `Context Awesome`\n- URL: `https://www.context-awesome.com/api/mcp`\n

\n\n

Install in Windsurf / VS Code / Zed / JetBrains / LM Studio / ...

\n\nUse the same URL (`https://www.context-awesome.com/api/mcp`) with each client's \"add remote MCP\" UI. See the dedicated sections below for exact snippets.\n\n

\n\n### Local stdio (Claude Desktop, offline-capable)\n\n```json\n{\n \"mcpServers\": {\n \"context-awesome\": {\n \"command\": \"npx\",\n \"args\": [\"-y\", \"context-awesome-mcp\", \"serve\", \"--transport\", \"stdio\"],\n \"env\": {\n \"CONTEXT_AWESOME_API_HOST\": \"https://api.context-awesome.com\"\n }\n }\n }\n}\n```\n\n### Local HTTP transport (for custom integrations)\n\n```bash\nnpx context-awesome-mcp serve --transport http --port 3001\n# then point your client at http://localhost:3001/mcp\n```\n\n## Local Development\n\n```bash\ngit clone https://github.com/bh-rat/context-awesome.git\ncd context-awesome\nnpm install\nnpm run build\n\n# CLI\n./build/cli.js search \"graph databases\"\n\n# MCP server (stdio)\n./build/index.js --transport stdio\n\n# MCP Inspector\nnpm run inspector\n```\n\n## Backend service\n\nThis MCP server and CLI connect to backend API service that handles the heavy lifting of awesome list processing.\n\nThe backend service will be open-sourced soon, enabling the community to contribute to and benefit from the complete context-awesome ecosystem.\n\n## Additional Installation Methods\n\n

Install in Cline

\n\n```json\n{\n \"mcpServers\": {\n \"context-awesome\": {\n \"url\": \"https://www.context-awesome.com/api/mcp\"\n }\n }\n}\n```\n\n

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Install in Zed

\n\n```json\n{\n \"context_servers\": {\n \"context-awesome\": {\n \"url\": \"https://www.context-awesome.com/api/mcp\"\n }\n }\n}\n```\n\n

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Install in Augment Code

\n\n1. Click the hamburger menu\n2. Select **Settings**\n3. Navigate to **Tools**\n4. Click **+ Add MCP**\n5. Enter URL: `https://www.context-awesome.com/api/mcp`\n6. Name: **Context Awesome**\n

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Install in Roo Code

\n\n```json\n{\n \"mcpServers\": {\n \"context-awesome\": {\n \"type\": \"streamable-http\",\n \"url\": \"https://www.context-awesome.com/api/mcp\"\n }\n }\n}\n```\n\n

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Install in Gemini CLI

\n\n```json\n{\n \"mcpServers\": {\n \"context-awesome\": {\n \"httpUrl\": \"https://www.context-awesome.com/api/mcp\"\n }\n }\n}\n```\n\n

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Install in Opencode

\n\n```json\n\"mcp\": {\n \"context-awesome\": {\n \"type\": \"remote\",\n \"url\": \"https://www.context-awesome.com/api/mcp\",\n \"enabled\": true\n }\n}\n```\n\n

\n\n

Install in JetBrains AI Assistant

\n\n1. Go to `Settings` -> `Tools` -> `AI Assistant` -> `Model Context Protocol (MCP)`\n2. Click `+ Add`\n3. Configure URL: `https://www.context-awesome.com/api/mcp`\n4. Click `OK` and `Apply`\n

\n\n

Install in Kiro

\n\n1. Navigate `Kiro` > `MCP Servers`\n2. Click `+ Add`\n3. Configure URL: `https://www.context-awesome.com/api/mcp`\n4. Click `Save`\n

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Install in Trae

\n\n```json\n{\n \"mcpServers\": {\n \"context-awesome\": {\n \"url\": \"https://www.context-awesome.com/api/mcp\"\n }\n }\n}\n```\n\n

\n\n

Install in Amazon Q Developer CLI

\n\n```json\n{\n \"mcpServers\": {\n \"context-awesome\": {\n \"url\": \"https://www.context-awesome.com/api/mcp\"\n }\n }\n}\n```\n\n

\n\n

Install in Warp

\n\n1. Navigate `Settings` > `AI` > `Manage MCP servers`\n2. Click `+ Add`\n3. Configure URL: `https://www.context-awesome.com/api/mcp`\n4. Click `Save`\n

\n\n

Install in Copilot Coding Agent

\n\n```json\n{\n \"mcpServers\": {\n \"context-awesome\": {\n \"type\": \"http\",\n \"url\": \"https://www.context-awesome.com/api/mcp\",\n \"tools\": [\"find_awesome_section\", \"search_awesome_items\", \"get_awesome_items\"]\n }\n }\n}\n```\n\n

\n\n

Install in LM Studio

\n\n1. Navigate to `Program` > `Install` > `Edit mcp.json`\n2. Add:\n\n```json\n{\n \"mcpServers\": {\n \"context-awesome\": {\n \"url\": \"https://www.context-awesome.com/api/mcp\"\n }\n }\n}\n```\n\n

\n\n

Install in BoltAI

\n\n```json\n{\n \"mcpServers\": {\n \"context-awesome\": {\n \"url\": \"https://www.context-awesome.com/api/mcp\"\n }\n }\n}\n```\n\n

\n\n

Install in Perplexity Desktop

\n\n1. Navigate `Perplexity` > `Settings`\n2. Select `Connectors`\n3. Click `Add Connector`\n4. Select `Advanced`\n5. Enter Name: `Context Awesome`\n6. Enter URL: `https://www.context-awesome.com/api/mcp`\n

\n\n

Install in Visual Studio 2022

\n\n```json\n{\n \"inputs\": [],\n \"servers\": {\n \"context-awesome\": {\n \"type\": \"http\",\n \"url\": \"https://www.context-awesome.com/api/mcp\"\n }\n }\n}\n```\n\n

\n\n

Install in Crush

\n\n```json\n{\n \"$schema\": \"https://charm.land/crush.json\",\n \"mcp\": {\n \"context-awesome\": {\n \"type\": \"http\",\n \"url\": \"https://www.context-awesome.com/api/mcp\"\n }\n }\n}\n```\n\n

\n\n

Install in Rovo Dev CLI

\n\n```bash\nacli rovodev mcp\n```\n\nThen add:\n\n```json\n{\n \"mcpServers\": {\n \"context-awesome\": {\n \"url\": \"https://www.context-awesome.com/api/mcp\"\n }\n }\n}\n```\n\n

\n\n

Install in Zencoder

\n\n1. Go to Zencoder menu (...)\n2. Select Agent tools\n3. Click Add custom MCP\n4. Name: `Context Awesome`\n5. URL: `https://www.context-awesome.com/api/mcp`\n

\n\n

Install in Qodo Gen

\n\n1. Open Qodo Gen chat panel\n2. Click Connect more tools\n3. Click + Add new MCP\n4. Add:\n\n```json\n{\n \"mcpServers\": {\n \"context-awesome\": {\n \"url\": \"https://www.context-awesome.com/api/mcp\"\n }\n }\n}\n```\n\n

\n\n## License\n\nMIT\n\n## Contributing\n\nContributions are welcome! Please:\n\n1. Fork the repository\n2. Create a feature branch\n3. Add tests for new functionality\n4. Ensure all tests pass\n5. Submit a pull request\n\n## Support\n\nFor issues and questions:\n\n- GitHub Issues: [https://github.com/bh-rat/context-awesome/issues](https://github.com/bh-rat/context-awesome/issues)\n\n## Attribution\n\nThis project uses data from over 8,500 awesome lists on GitHub. See [ATTRIBUTION.md](https://github.com/bh-rat/context-awesome/blob/main/ATTRIBUTION.md) for a complete list of all repositories whose data is included.\n\n## Credits\n\nBuilt with:\n\n- [Model Context Protocol SDK](https://github.com/anthropics/model-context-protocol)\n- [Awesome Lists](https://github.com/sindresorhus/awesome)\n- Inspired by [context7](https://github.com/upstash/context7) MCP server patterns\n","changelogMarkdown","videoKey","requiredSecretsJson","publishedAt","priceCents","trialDays",0,"iconType","image","upstream",{"_104":105,"_106":107,"_108":109,"_110":111,"_112":113,"_114":115},"requiredSecrets",[],"tags",[100,101,102,103],"assets",[],"stats",{"_98":85,"_99":85},"ratingAvg","reviewCount","agents","awesome","awesome-list","llm","topics",[100,101,102,103,120,121],"license","MIT","language","TypeScript","registryName","io.github.bh-rat/context-awesome","homepage","https://www.context-awesome.com","packages",[116],{"_117":118,"_119":21,"_75":76},"registryType","npm","identifier","mcp","mcp-server","ENV",{"_124":125,"_126":127,"_128":129},"ENVIRONMENT","production","TURNSTILE_SITE_KEY","0x4AAAAAAB8-rEI2gNDf_QhU","SENTRY_DSN","https://45fd1229f78089d5c3ee78be128030e1@o4510583261757440.ingest.de.sentry.io/4510584253448272"]