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Server that uses Brave Search API to search for images, general web search, video, news and points of interest.","maintainers":[{"name":"mchao1","email":"mike.chao.one@gmail.com"}],"readme":"# Brave Search MCP Server\n\nAn MCP Server implementation that integrates the [Brave Search API](https://brave.com/search/api/), providing, Web Search, Local Points of Interest Search, Video Search, Image Search, News Search and LLM Context Search capabilities\n\n\n \n\n\n## Features\n\n- **Web Search**: Perform a regular search on the web\n- **Image Search**: Search the web for images.\n- **News Search**: Search the web for news\n- **Video Search**: Search the web for videos\n- **Local Points of Interest Search**: Search for local physical locations, businesses, restaurants, services, etc\n- **LLM Context Search**: Fetch and extract full web page content optimized for reading and synthesizing sources\n\n## Tools\n\n- **brave_web_search**\n - Execute web searches using Brave's API\n - Inputs:\n - `query` (string): The term to search the internet for\n - `count` (number, optional): The number of results to return (max 20, default 10)\n - `offset` (number, optional, default 0): The offset for pagination\n - `freshness` (enum, optional): Filters search results by when they were discovered\n - The following values are supported\n - pd: Discovered within the last 24 hours.\n - pw: Discovered within the last 7 Days.\n - pm: Discovered within the last 31 Days.\n - py: Discovered within the last 365 Days\n - YYYY-MM-DDtoYYYY-MM-DD: Custom date range (e.g., 2022-04-01to2022-07-30)\n\n- **brave_image_search**\n - Get images from the web relevant to the query\n - Inputs:\n - `query` (string): The term to search the internet for images of\n - `count` (number, optional): The number of images to return (max 50, default 10)\n\n- **brave_news_search**\n - Searches the web for news\n - Inputs:\n - `query` (string): The term to search the internet for news articles, trending topics, or recent events\n - `count` (number, optional): The number of results to return (max 20, default 10)\n - `offset` (number, optional, default 0): The zero-based offset for pagination (max 9)\n - `freshness` (enum, optional): Filters search results by when they were discovered\n - The following values are supported\n - pd: Discovered within the last 24 hours.\n - pw: Discovered within the last 7 Days.\n - pm: Discovered within the last 31 Days.\n - py: Discovered within the last 365 Days\n - YYYY-MM-DDtoYYYY-MM-DD: Custom date range (e.g., 2022-04-01to2022-07-30)\n\n- **brave_local_search**\n - Search for local businesses, services and points of interest\n - Falls back to brave_web_search if no location results are found\n - Inputs:\n - `query` (string): Local search term\n - `count` (number, optional): The number of results to return (max 20, default 5)\n - `offset` (number, optional, default 0): The zero-based offset for pagination (max 9)\n\n- **brave_video_search**\n - Search the web for videos\n - Inputs:\n - `query`: (string): The term to search for videos\n - `count`: (number, optional): The number of videos to return (max 20, default 10)\n - `offset` (number, optional, default 0): The zero-based offset for pagination (max 9)\n - `freshness` (enum, optional): Filters search results by when they were discovered\n - The following values are supported\n - pd: Discovered within the last 24 hours.\n - pw: Discovered within the last 7 Days.\n - pm: Discovered within the last 31 Days.\n - py: Discovered within the last 365 Days\n - YYYY-MM-DDtoYYYY-MM-DD: Custom date range (e.g., 2022-04-01to2022-07-30)\n\n- **brave_llm_context_search**\n - Pre-extracted web content optimized for AI agents, LLM grounding, and RAG pipelines.\n - Inputs:\n - `query` (string): The search query. Maximum 400 characters and 50 words.\n - `url` (string, optional): Optional URL to target. When provided, query and URL are combined for retrieval and only snippets from this exact URL are returned.\n - `count` (number, optional, default 8): The maximum number of search results considered. Minimum 1, maximum 50.\n - `maximumNumberOfUrls` (number, optional, default 8): The maximum number of URLs to include in the response. Minimum 1, maximum 50.\n - `maximumNumberOfTokens` (number, optional, default 2048): The approximate maximum number of tokens in the returned context. Minimum 1024, maximum 32768.\n - `maximumNumberOfSnippets` (number, optional, default 16): The maximum number of snippets across all URLs. Minimum 1, maximum 100.\n - `maximumNumberOfTokensPerUrl` (number, optional, default 512): The maximum number of tokens per URL. Minimum 512, maximum 8192.\n - `maximumNumberOfSnippetsPerUrl` (number, optional, default 2): The maximum number of snippets per URL. Minimum 1, maximum 100.\n - `contextThresholdMode` (enum, optional): Controls relevance filtering. Supported values: `disabled`, `strict`, `lenient`, `balanced`. Defaults to `strict` in compact mode.\n - `responseMode` (enum, optional, default `compact`): `compact` returns filtered/truncated context optimized for model consumption. `full` returns all raw snippets without filtering or truncation.\n - `maxSnippetChars` (number, optional, default 400): Maximum characters per snippet in compact mode. Minimum 80, maximum 4000.\n - `maxOutputChars` (number, optional, default 8000): Approximate maximum serialized response size in compact mode. Minimum 1000, maximum 100000.\n\n## OpenAI Apps & MCP Apps Support\n\n
\n\nThere is now support for [OpenAI Apps](https://developers.openai.com/apps-sdk/) and [MCP Apps](https://modelcontextprotocol.io/docs/extensions/apps) in this MCP Server. When UI mode is enabled for each tool there is a corresponding UI widget that let's you control what gets added to the model's context. See the directions in [usage with ChatGPT section](#usage-with-chatgpt).\n\n## Configuration\n\n### Getting an API Key\n\n1. Sign up for a [Brave Search API account](https://brave.com/search/api/)\n2. Choose a plan\n3. Generate your API key [from the developer dashboard](https://api.search.brave.com/app/keys)\n\n### Streamable HTTP mode\n\nBy default the MCP server runs in stdio mode.\n\n```bash\nBRAVE_API_KEY=\"your_key_here\" npx -y brave-search-mcp\n```\n\nTo enable Streamable HTTP mode:\n\n```bash\nBRAVE_API_KEY=\"your_key_here\" npx -y brave-search-mcp --http\n```\n\nBy default the server listens on port 3001.\nThe URL is:\n\n```\nhttp://0.0.0.0:3001/mcp\n```\n\n### Environment variables\n\nWhen running in HTTP mode, the following environment variables are supported:\n\n- `BRAVE_API_KEY` (required): Brave Search API key.\n- `PORT` (optional): HTTP port (default: `3001`).\n- `HOST` (optional): Interface to bind to (default: `0.0.0.0`).\n- `ALLOWED_HOSTS` (optional): Comma-separated list of allowed hostnames for Host header validation.\n - Example: `ALLOWED_HOSTS=localhost,127.0.0.1,my-app.ngrok-free.app`\n - Use hostnames only (no scheme/path), e.g. `my-app.ngrok-free.app` not `https://my-app.ngrok-free.app/mcp`\n\nExamples:\n\n```bash\n# Local only\nHOST=127.0.0.1 ALLOWED_HOSTS=localhost,127.0.0.1 BRAVE_API_KEY=\"your_key_here\" npx -y brave-search-mcp --http\n```\n\n```bash\n# Local with ngrok tunnel\nHOST=127.0.0.1 ALLOWED_HOSTS=localhost,127.0.0.1,my-app.ngrok-free.app BRAVE_API_KEY=\"your_key_here\" npx -y brave-search-mcp --http --ui\n```\n\n### Usage with ChatGPT\n\nThe Brave Search MCP Server can be used with the web UI of ChatGPT. It takes a few steps.\n\n#### 1. Enable Developer Mode in ChatGPT\n\nSettings → Apps → Advanced settings → Developer mode\n\nAdditional instructions [here](https://platform.openai.com/docs/guides/developer-mode)\n\n#### 2. Run the Brave Search MCP in HTTP mode and UI mode\n\n```bash\nBRAVE_API_KEY=\"your_key_here\" npx -y brave-search-mcp --http --ui\n```\n\n#### 3. Create a local tunnel to expose the MCP Server to ChatGPT\n\nSign up and configure [ngrok](https://ngrok.com/), the free plan works.\n\n```bash\nngrok http 3001\n```\n\nTake note of the forwarding URL.\n\n```bash\n...\nForwarding https://john-joe-asdf.ngrok-free.dev -> http://localhost:3001\n...\n```\n\n#### 4. Add Brave Search MCP as a Connector to ChatGPT\n\nOpen [ChatGPT Apps settings](https://chatgpt.com/#settings/Connectors)\n\nClick Apps\n\nClick Create Apps\n\nFill out the form using the URL from step 3 as the MCP Server URL, but add `/mcp`.\n\n```\nhttps://john-joe-asdf.ngrok-free.dev/mcp\n```\n\nFor Authentication, select 'No Auth'\n\nTick the checkbox for 'I understand and want to continue'\n\nThen click Create.\n\n#### 5. Using the Brave Search MCP Server\n\nIn the ChatGPT UI, click the '+' button, scroll to '...more', select the newly created Brave Search app, and enter your query.\n\n### Usage with Claude Code\n\nFor [Claude Code](https://claude.ai/code) users, run this command:\n\n**Windows:**\n\n```bash\nclaude mcp add-json brave-search '{\"command\":\"cmd\",\"args\":[\"/c\",\"npx\",\"-y\",\"brave-search-mcp\"],\"env\":{\"BRAVE_API_KEY\":\"YOUR_API_KEY_HERE\"}}'\n```\n\n**Linux/macOS:**\n\n```bash\nclaude mcp add-json brave-search '{\"command\":\"npx\",\"args\":[\"-y\",\"brave-search-mcp\"],\"env\":{\"BRAVE_API_KEY\":\"YOUR_API_KEY_HERE\"}}'\n```\n\nReplace `YOUR_API_KEY_HERE` with your actual Brave Search API key.\n\n### Usage with Claude Desktop\n\n#### MCP Bundle (MCPB)\n\n1. Download the `mcpb` file from the [Releases](https://github.com/mikechao/brave-search-mcp/releases)\n2. Open it with Claude Desktop\n or\n Go to File -> Settings -> Extensions and drag the .mcpb file to the window to install it\n\n#### Docker\n\n1. Clone the repo\n2. Docker build\n\n```bash\ndocker build -t brave-search-mcp:latest -f ./Dockerfile .\n```\n\n3. Add this to your `claude_desktop_config.json`:\n\n```json\n{\n \"mcp-servers\": {\n \"brave-search\": {\n \"command\": \"docker\",\n \"args\": [\n \"run\",\n \"-i\",\n \"--rm\",\n \"-e\",\n \"BRAVE_API_KEY\",\n \"brave-search-mcp\"\n ],\n \"env\": {\n \"BRAVE_API_KEY\": \"YOUR API KEY HERE\"\n }\n }\n }\n}\n```\n\n#### NPX\n\nAdd this to your `claude_desktop_config.json`:\n\n```json\n{\n \"mcp-servers\": {\n \"brave-search\": {\n \"command\": \"npx\",\n \"args\": [\n \"-y\",\n \"brave-search-mcp\"\n ],\n \"env\": {\n \"BRAVE_API_KEY\": \"YOUR API KEY HERE\"\n }\n }\n }\n}\n```\n\n### Usage with LibreChat\n\nAdd this to librechat.yaml\n\n```yaml\nbrave-search:\n command: sh\n args:\n - -c\n - BRAVE_API_KEY=API KEY npx -y brave-search-mcp\n```\n\n## Contributing\n\nContributions are welcome! See [CONTRIBUTING.md](CONTRIBUTING.md) for development setup, monorepo structure, and release instructions.\nFor UI build workflow details, including the entrypoint orchestrator, see [UI Build Orchestrator](CONTRIBUTING.md#ui-build-orchestrator).\n\n## Disclaimer\n\nThis library is not officially associated with Brave Software. It is a third-party implementation of the Brave Search API with a MCP Server.\n\n## License\n\nThis project is licensed under the GNU General Public License v3.0 - see the [LICENSE](LICENSE) file for details.\n","readmeFilename":"README.md"}
![\"Watch](\"https://img.youtube.com/vi/Z5KiC00gBVE/maxresdefault.jpg\")
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