PluginBench
MCP Server
Active
MIT

ai.smithery/brave MCP Server

ai.smithery/brave

Give AI agents full Brave Search capabilities: web, local, image, video, news, place search, LLM context, and summarization.

What is the ai.smithery/brave MCP server?

The Brave MCP server is an implementation that integrates the Brave Search API into the Model Context Protocol, giving AI agents access to web, local business, place, image, video, and news search, along with LLM-optimized context extraction and AI-powered summarization. It supports both STDIO (default) and HTTP transports and requires a Brave Search API key to operate.

This server wraps the Brave Search API so MCP-compatible clients like Claude Desktop, Cursor, or VS Code can perform rich web, local, image, video, news, and place searches directly from an AI assistant. It also exposes an LLM-context tool that returns pre-extracted web content optimized for grounding and RAG pipelines, and a summarizer tool that generates AI summaries from search results. You'd use it to give an agent real-time, structured search data (with filtering, pagination, freshness controls, and location awareness) without building your own Brave API integration.

How to install ai.smithery/brave

Copy-paste configuration for popular MCP clients.

transport: http
Config generated by PluginBench — verify against the source before use.
Environment / auth
  • Authorization
    required
    secret

    Bearer token for Smithery authentication

Cursor
~/.cursor/mcp.json
{
  "mcpServers": {
    "brave": {
      "url": "https://server.smithery.ai/brave/mcp"
    }
  }
}
Windsurf
~/.codeium/windsurf/mcp_config.json
{
  "mcpServers": {
    "brave": {
      "serverUrl": "https://server.smithery.ai/brave/mcp"
    }
  }
}
VS Code
.vscode/mcp.json
{
  "servers": {
    "brave": {
      "type": "http",
      "url": "https://server.smithery.ai/brave/mcp"
    }
  }
}
Claude Desktop
Claude Desktop connects to remote servers via the mcp-remote bridge.
{
  "mcpServers": {
    "brave": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-remote",
        "https://server.smithery.ai/brave/mcp"
      ]
    }
  }
}
Claude Code
claude mcp add --transport http brave https://server.smithery.ai/brave/mcp

Tools & capabilities

Tools this server exposes to the agent.

  • brave_web_searchPerforms comprehensive web searches with rich result types and advanced filtering options (country, language, pagination, safesearch, freshness, spellcheck, custom re-ranking via goggles, and optional AI summary key generation).
  • brave_local_searchSearches for local businesses and places with detailed information including ratings, hours, and AI-generated descriptions; falls back to web search without a Pro plan.
  • brave_video_searchSearches for videos with comprehensive metadata and thumbnail information, supporting pagination, freshness, and safesearch filters.
  • brave_image_searchSearches for images and returns metadata including URLs, dimensions, and confidence scores.
  • brave_news_searchSearches for current news articles with freshness controls and breaking news indicators.
  • brave_summarizerGenerates AI-powered summaries from web search results using Brave's summarization API, given a summary key from a prior web search.
  • brave_place_searchSearches for points of interest in a specified geographic area, returning structured place data including name, address, hours, contact info, ratings, photos, categories, and timezone.
  • brave_llm_contextRetrieves pre-extracted web content optimized for AI agents, LLM grounding, and RAG pipelines, with controls for token/snippet limits, thresholding, and location context.

Use cases

  • Perform web searches from within an AI chat/agent session with filtering and pagination
  • Find local businesses or points of interest near a given location with ratings and hours
  • Search for images, videos, or breaking news articles on a topic
  • Generate AI-powered summaries of web search results for quick answers
  • Retrieve pre-extracted, token-limited web content for RAG/LLM grounding pipelines

ai.smithery/brave MCP server FAQ

What does the Brave MCP server do?

It connects MCP clients (like Claude Desktop or VS Code) to the Brave Search API, enabling web, local, image, video, news, and place search, plus LLM-optimized context extraction and AI summarization, all via defined MCP tools.

Is the Brave MCP server free to use?

The server itself is open source, but it requires a Brave Search API key. Brave offers a free API key tier via https://brave.com/search/api/, with paid Search and Answers plans for higher usage and features like extra snippets or full local search.

What authentication does it require?

A Brave Search API key is required, set via the BRAVE_API_KEY environment variable (or BRAVE_API_KEY_FILE for file-based secrets). Some features, like extra_snippets and full local search, require a Pro plan.

How do I install this in Claude Desktop?

Add an entry to claude_desktop_config.json using either Docker (docker run -i --rm -e BRAVE_API_KEY mcp/brave-search) or NPX (npx -y @brave/brave-search-mcp-server --transport http), passing your BRAVE_API_KEY as an environment variable.

How do I install this in VS Code or Cursor?

VS Code supports one-click install buttons for NPX or Docker, or manual configuration via .vscode/mcp.json or User Settings JSON, prompting for the Brave API key as a secure input. Cursor and other MCP clients can connect via the same STDIO or HTTP transport configuration, or use the Smithery-hosted remote endpoint at https://server.smithery.ai/brave/mcp.

Does it support both STDIO and HTTP transport?

Yes. STDIO is the default transport as of version 2.x; HTTP mode can be enabled by setting BRAVE_MCP_TRANSPORT=http or passing --transport http, with configurable port, host, and stateless mode.

README (reference)

Source of truth, from the repository.

Brave Search MCP Server

An MCP server implementation that integrates the Brave Search API, providing comprehensive search capabilities including web search, local business search, place search, image search, video search, news search, LLM context, and AI-powered summarization. This project supports both STDIO and HTTP transports, with STDIO as the default mode.

Ask DeepWiki

Migration

1.x to 2.x

Default transport now STDIO

To follow established MCP conventions, the server now defaults to STDIO. If you would like to continue using HTTP, you will need to set the BRAVE_MCP_TRANSPORT environment variable to http, or provide the runtime argument --transport http when launching the server.

Response structure of brave_image_search

Version 1.x of the MCP server would return base64-encoded image data along with image URLs. This dramatically slowed down the response, as well as consumed unnecessarily context in the session. Version 2.x removes the base64-encoded data, and returns a response object that more closely reflects the original Brave Search API response. The updated output schema is defined in src/tools/images/schemas/output.ts.

Tools

Web Search (brave_web_search)

Performs comprehensive web searches with rich result types and advanced filtering options.

Parameters:

  • query (string, required): Search terms (max 400 chars, 50 words)
  • country (string, optional): Country code (default: "US")
  • search_lang (string, optional): Search language (default: "en")
  • ui_lang (string, optional): UI language (default: "en-US")
  • count (number, optional): Results per page (1-20, default: 10)
  • offset (number, optional): Pagination offset (max 9, default: 0)
  • safesearch (string, optional): Content filtering ("off", "moderate", "strict", default: "moderate")
  • freshness (string, optional): Time filter ("pd", "pw", "pm", "py", or date range)
  • text_decorations (boolean, optional): Include highlighting markers (default: true)
  • spellcheck (boolean, optional): Enable spell checking (default: true)
  • result_filter (array, optional): Filter result types (default: ["web", "query"])
  • goggles (array, optional): Custom re-ranking definitions
  • units (string, optional): Measurement units ("metric" or "imperial")
  • extra_snippets (boolean, optional): Get additional excerpts (Pro plans only)
  • summary (boolean, optional): Enable summary key generation for AI summarization

Local Search (brave_local_search)

Searches for local businesses and places with detailed information including ratings, hours, and AI-generated descriptions.

Parameters:

  • Same as brave_web_search with automatic location filtering
  • Automatically includes "web" and "locations" in result_filter

Note: Requires Pro plan for full local search capabilities. Falls back to web search otherwise.

Video Search (brave_video_search)

Searches for videos with comprehensive metadata and thumbnail information.

Parameters:

  • query (string, required): Search terms (max 400 chars, 50 words)
  • country (string, optional): Country code (default: "US")
  • search_lang (string, optional): Search language (default: "en")
  • ui_lang (string, optional): UI language (default: "en-US")
  • count (number, optional): Results per page (1-50, default: 20)
  • offset (number, optional): Pagination offset (max 9, default: 0)
  • spellcheck (boolean, optional): Enable spell checking (default: true)
  • safesearch (string, optional): Content filtering ("off", "moderate", "strict", default: "moderate")
  • freshness (string, optional): Time filter ("pd", "pw", "pm", "py", or date range)

Image Search (brave_image_search)

Searches for images with metadata including URLs, dimensions, and confidence scores.

Parameters:

  • query (string, required): Search terms (max 400 chars, 50 words)
  • country (string, optional): Country code (default: "US")
  • search_lang (string, optional): Search language (default: "en")
  • count (number, optional): Results per page (1-200, default: 50)
  • safesearch (string, optional): Content filtering ("off", "strict", default: "strict")
  • spellcheck (boolean, optional): Enable spell checking (default: true)

News Search (brave_news_search)

Searches for current news articles with freshness controls and breaking news indicators.

Parameters:

  • query (string, required): Search terms (max 400 chars, 50 words)
  • country (string, optional): Country code (default: "US")
  • search_lang (string, optional): Search language (default: "en")
  • ui_lang (string, optional): UI language (default: "en-US")
  • count (number, optional): Results per page (1-50, default: 20)
  • offset (number, optional): Pagination offset (max 9, default: 0)
  • spellcheck (boolean, optional): Enable spell checking (default: true)
  • safesearch (string, optional): Content filtering ("off", "moderate", "strict", default: "moderate")
  • freshness (string, optional): Time filter (default: "pd" for last 24 hours)
  • extra_snippets (boolean, optional): Get additional excerpts (Pro plans only)
  • goggles (array, optional): Custom re-ranking definitions

Summarizer Search (brave_summarizer)

Generates AI-powered summaries from web search results using Brave's summarization API.

Parameters:

  • key (string, required): Summary key from web search results (use summary: true in web search)
  • entity_info (boolean, optional): Include entity information (default: false)
  • inline_references (boolean, optional): Add source URL references (default: false)

Usage: First perform a web search with summary: true, then use the returned summary key with this tool.

Place Search (brave_place_search)

Searches for points of interest (POIs) in a specified geographic area using Brave's Place Search API. Returns rich, structured place data including name, address, opening hours, contact info, ratings, photos, categories, and timezone.

Parameters:

  • query (string, optional): Query string used to refine the POI search (max 400 chars, 50 words). When omitted, returns general points of interest in the supplied area.
  • latitude (number, optional): Latitude of the search center (-90 to 90). Typically paired with longitude.
  • longitude (number, optional): Longitude of the search center (-180 to 180). Typically paired with latitude.
  • location (string, optional): Location string used as an alternative to latitude/longitude. For US locations prefer the form <city> <state> <country name> (e.g., san francisco ca united states); for non-US locations use <city> <country name> (e.g., tokyo japan).
  • radius (number, optional): Search radius around the supplied coordinates, in meters. If omitted, the search is performed globally.
  • count (number, optional): Number of results to return (1-50, default 20).
  • country (string, optional): Two-letter country code (default US).
  • search_lang (string, optional): Search language (default en).
  • ui_lang (string, optional): UI language (default en-US).
  • units (string, optional): Distance units (metric or imperial, default metric).
  • safesearch (string, optional): Safe search level (off, moderate, strict, default strict).
  • spellcheck (boolean, optional): Whether to spellcheck the query (default true).
  • geoloc (string, optional): Optional geolocation token used to refine results.

Optional request headers:

  • api-version (string, optional): Brave API version (YYYY-MM-DD)
  • accept (string, optional): Response media type (application/json or */*)
  • cache-control (string, optional): Use no-cache to request fresh content
  • user-agent (string, optional): User agent originating the request

LLM Context (brave_llm_context)

Retrieves pre-extracted web content optimized for AI agents, LLM grounding, and RAG pipelines.

Parameters:

  • query (string, required): Search query (max 400 chars, 50 words)
  • country (string, optional): Search country code
  • search_lang (string, optional): Search language code
  • count (number, optional): Maximum number of search results considered (1-50)
  • spellcheck (boolean, optional): Enable spell checking
  • maximum_number_of_urls (number, optional): Maximum number of URLs to include (1-50)
  • maximum_number_of_tokens (number, optional): Approximate maximum number of context tokens (1024-32768)
  • maximum_number_of_snippets (number, optional): Maximum number of snippets to include (1-256)
  • context_threshold_mode (string, optional): Threshold mode ("disabled", "strict", "lenient", "balanced")
  • maximum_number_of_tokens_per_url (number, optional): Maximum tokens per URL (512-8192)
  • maximum_number_of_snippets_per_url (number, optional): Maximum snippets per URL (1-100)
  • goggles (string or array, optional): Goggle URL or definition for custom re-ranking
  • freshness (string, optional): Time filter ("pd", "pw", "pm", "py", or date range)
  • enable_local (boolean, optional): Enable local recall
  • enable_source_metadata (boolean, optional): Include source metadata enrichment

Optional request headers:

  • x-loc-lat (number, optional): Client latitude (-90 to 90)
  • x-loc-long (number, optional): Client longitude (-180 to 180)
  • x-loc-city (string, optional): Client city name
  • x-loc-state (string, optional): Client state or region code
  • x-loc-state-name (string, optional): Client state or region name
  • x-loc-country (string, optional): Client country code
  • x-loc-postal-code (string, optional): Client postal code
  • api-version (string, optional): Brave API version (YYYY-MM-DD)
  • accept (string, optional): Response media type ("application/json" or "/")
  • cache-control (string, optional): Use no-cache to request fresh content
  • user-agent (string, optional): User agent originating the request

Configuration

Getting an API Key

  1. Sign up for a Brave Search API account
  2. Choose a plan:
    • Search: The real-time search data your chatbots & agents need to generate answers. Complete search results (URLs, text, news, images, and more), with additional LLM context optimized for AI.
    • Answers: Summarized, completed answers to any question. Answers grounded on a single search or multiple searches for better accuracy & reduced hallucinations.
  3. Generate your API key from the developer dashboard

Environment Variables

The server supports the following environment variables:

  • BRAVE_API_KEY: Your Brave Search API key (required unless BRAVE_API_KEY_FILE is set)
  • BRAVE_API_KEY_FILE: Path to a file containing your Brave Search API key. When set, this takes precedence over BRAVE_API_KEY. Useful for Docker secrets and similar mounted-secret setups.
  • BRAVE_MCP_TRANSPORT: Transport mode ("http" or "stdio", default: "stdio")
  • BRAVE_MCP_PORT: HTTP server port (default: 8080)
  • BRAVE_MCP_HOST: HTTP server host (default: "0.0.0.0")
  • BRAVE_MCP_LOG_LEVEL: Desired logging level("debug", "info", "notice", "warning", "error", "critical", "alert", or "emergency", default: "info")
  • BRAVE_MCP_ENABLED_TOOLS: When used, specifies a space-separated whitelist for supported tools
  • BRAVE_MCP_DISABLED_TOOLS: When used, specifies a space-separated blacklist for supported tools
  • BRAVE_MCP_STATELESS: HTTP stateless mode (default: "true"). When running on Amazon Bedrock Agentcore, set to "true".

Command Line Options

node dist/index.js [options]

Options:
  --brave-api-key <string>        Brave API key
  --brave-api-key-file <string>   Path to file containing Brave API key
  --transport <stdio|http>    Transport type (default: stdio)
  --port <number>             HTTP server port (default: 8080)
  --host <string>             HTTP server host (default: 0.0.0.0)
  --logging-level <string>    Desired logging level (one of _debug_, _info_, _notice_, _warning_, _error_, _critical_, _alert_, or _emergency_)
  --enabled-tools             Tools whitelist (only the specified tools will be enabled)
  --disabled-tools            Tools blacklist (included tools will be disabled)
  --stateless  <boolean>      HTTP Stateless flag

Installation

Usage with Claude Desktop

Add this to your claude_desktop_config.json:

Docker

{
  "mcpServers": {
    "brave-search": {
      "command": "docker",
      "args": ["run", "-i", "--rm", "-e", "BRAVE_API_KEY", "docker.io/mcp/brave-search"],
      "env": {
        "BRAVE_API_KEY": "YOUR_API_KEY_HERE"
      }
    }
  }
}

NPX

{
  "mcpServers": {
    "brave-search": {
      "command": "npx",
      "args": ["-y", "@brave/brave-search-mcp-server", "--transport", "http"],
      "env": {
        "BRAVE_API_KEY": "YOUR_API_KEY_HERE"
      }
    }
  }
}

Usage with VS Code

For quick installation, use the one-click installation buttons below:

Install with NPX in VS Code Install with NPX in VS Code Insiders
Install with Docker in VS Code Install with Docker in VS Code Insiders

For manual installation, add the following to your User Settings (JSON) or .vscode/mcp.json:

Docker

{
  "inputs": [
    {
      "password": true,
      "id": "brave-api-key",
      "type": "promptString",
      "description": "Brave Search API Key",
    }
  ],
  "servers": {
    "brave-search": {
      "command": "docker",
      "args": ["run", "-i", "--rm", "-e", "BRAVE_API_KEY", "mcp/brave-search"],
      "env": {
        "BRAVE_API_KEY": "${input:brave-api-key}"
      }
    }
  }
}

NPX

{
  "inputs": [
    {
      "password": true,
      "id": "brave-api-key",
      "type": "promptString",
      "description": "Brave Search API Key",
    }
  ],
  "servers": {
    "brave-search-mcp-server": {
      "command": "npx",
      "args": ["-y", "@brave/brave-search-mcp-server", "--transport", "stdio"],
      "env": {
        "BRAVE_API_KEY": "${input:brave-api-key}"
      }
    }
  }
}

Build

Docker

docker build -t mcp/brave-search:latest .

Local Build

npm install
npm run build

Development

Prerequisites

  • Node.js 22.x or higher
  • npm
  • Brave Search API key

Setup

  1. Clone the repository:
git clone https://github.com/brave/brave-search-mcp-server.git
cd brave-search-mcp-server
  1. Install dependencies:
npm install
  1. Build the project:
npm run build

Testing via Claude Desktop

Add a reference to your local build in claude_desktop_config.json:

{
  "mcpServers": {
    "brave-search-dev": {
      "command": "node",
      "args": ["C:\\GitHub\\brave-search-mcp-server\\dist\\index.js"], // Verify your path
      "env": {
        "BRAVE_API_KEY": "YOUR_API_KEY_HERE"
      }
    }
  }
}

Testing via MCP Inspector

  1. Build and start the server:
npm run build
node dist/index.js
  1. In another terminal, start the MCP Inspector:
npx @modelcontextprotocol/inspector node dist/index.js

STDIO is the default mode. For HTTP mode testing, add --transport http to the arguments in the Inspector UI.

Available Scripts

  • npm run build: Build the TypeScript project

  • npm run watch: Watch for changes and rebuild

  • npm run format: Format code with Prettier

  • npm run format:check: Check code formatting

  • npm run prepare: Format and build (runs automatically on npm install)

  • npm run inspector: Launch an instance of MCP Inspector

  • npm run inspector:stdio: Launch a instance of MCP Inspector, configured for STDIO

Docker Compose

For local development with Docker:

docker-compose up --build

Set BRAVE_API_KEY (or BRAVE_API_KEY_FILE) in your shell or a .env file before starting the stack. The default docker-compose.yml also accepts BRAVE_API_KEY_FILE when the path is valid inside the container (for example, from a bind mount or Docker secret).

Docker Compose secrets (optional)

To avoid putting the API key in an environment variable, you can use Docker Compose secrets. The server reads the key from the path in BRAVE_API_KEY_FILE, which must exist inside the container.

  1. Copy the example secret file and add your key:
cp secrets/brave_api_key.txt.example secrets/brave_api_key.txt
  1. Start the stack with the optional secrets override:
docker compose -f docker-compose.yml -f docker-compose.secrets.example.yml up --build

The override mounts the secret at /run/secrets/brave_api_key and sets BRAVE_API_KEY_FILE accordingly. See docker-compose.secrets.example.yml for the full configuration.

License

This MCP server is licensed under the MIT License. This means you are free to use, modify, and distribute the software, subject to the terms and conditions of the MIT License. For more details, please see the LICENSE file in the project repository.

Related MCP servers

Cloud browser automation for LLMs, powered by Browserbase and Stagehand.

3.4k
TypeScript
Apache-2.0
View repository →

Give AI assistants full control of Unreal Engine—assets, actors, levels, VFX, AI, and cinematics.

763
C++
MIT
View repository →

AI-powered Unreal Engine control via MCP—automate assets, actors, levels, and effects through native C++ automation.

763
C++
MIT
View repository →

Up-to-date library documentation for AI coding agents — now shut down (offline since June 14, 2026).

489
TypeScript
MIT
View repository →

Search arXiv and ACL Anthology, retrieve citations and references, and browse web sources to accel…

89
Python
Apache-2.0
View repository →

Enable language models to perform advanced AI-powered web scraping with enterprise-grade reliabili…

85
Python
MIT
View repository →