{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"brave-search-mcp-server","slug":"brave-search-mcp-server","name":"Brave Search MCP Server","type":"mcp","url":"https://github.com/modelcontextprotocol/servers/tree/main/src/brave-search","page_url":"https://unfragile.ai/brave-search-mcp-server","categories":["mcp-servers"],"tags":["brave","search","official","reference"],"pricing":{"model":"free","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"brave-search-mcp-server__cap_0","uri":"capability://search.retrieval.web.search.via.brave.api.integration","name":"web-search-via-brave-api-integration","description":"Exposes Brave Search API as an MCP tool that LLM clients invoke through standardized JSON-RPC protocol. The server translates natural language search queries into Brave API calls, handles authentication via API key, and returns structured results (title, description, URL) formatted for LLM consumption. Uses MCP's tool registration pattern to declare search parameters as a schema, enabling type-safe invocation from any MCP-compatible client.","intents":["I want my LLM agent to perform real-time web searches without leaving the MCP context","I need to give Claude or another LLM access to current web information via a standardized protocol","I'm building an agent that should search the web and synthesize results into responses"],"best_for":["LLM application developers building agents that need real-time web context","Teams standardizing on MCP for tool integration across multiple LLM clients","Developers wanting privacy-focused search (Brave doesn't track users) integrated into AI workflows"],"limitations":["Requires valid Brave Search API key with active subscription or free tier quota","Search results are limited to Brave's index; cannot search proprietary/paywalled content","No built-in result caching or deduplication across repeated queries","Rate limiting depends on Brave API tier; free tier has strict limits"],"requires":["Brave Search API key (obtain from https://api.search.brave.com/)","MCP client implementation (Claude Desktop, custom client, or MCP-compatible IDE)","Node.js 16+ (for TypeScript server) or Python 3.8+ (if Python implementation exists)","Network connectivity to Brave API endpoints"],"input_types":["text (search query string)","optional parameters (count, offset, safesearch level)"],"output_types":["structured JSON with array of results","each result contains: title (string), description (string), url (string), favicon (optional)"],"categories":["search-retrieval","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"brave-search-mcp-server__cap_1","uri":"capability://search.retrieval.local.business.search.with.location.context","name":"local-business-search-with-location-context","description":"Extends web search capability to perform location-aware business searches via Brave's local search API. Accepts geographic parameters (latitude/longitude or location name) and business query terms, returns structured business results with addresses, phone numbers, and ratings. Implements location-based filtering at the API layer before returning results to the LLM, reducing irrelevant results and improving context relevance for location-dependent queries.","intents":["I want my agent to find nearby restaurants, services, or businesses based on user location","I need to search for local business information and integrate it into an LLM response","I'm building a travel or local recommendation agent that needs real business data"],"best_for":["Travel and recommendation agents that need current business information","Location-based customer service bots","Multi-modal agents combining web search with local business context"],"limitations":["Requires explicit location context; cannot infer user location from IP alone","Business data freshness depends on Brave's index update frequency","Limited to Brave's business database coverage; sparse in some regions","No real-time availability or reservation integration"],"requires":["Brave Search API key with local search capability enabled","Location data (latitude/longitude coordinates or place name)","MCP client with tool invocation support"],"input_types":["text (business query: 'pizza restaurants', 'plumbers', etc.)","location context (latitude/longitude pair or location string)"],"output_types":["structured JSON array of business results","each result: name, address, phone, rating, website URL, hours (if available)"],"categories":["search-retrieval","tool-use-integration","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"brave-search-mcp-server__cap_2","uri":"capability://tool.use.integration.mcp.tool.schema.registration.and.declaration","name":"mcp-tool-schema-registration-and-declaration","description":"Implements MCP's tool registration pattern to declare search capabilities as discoverable, schema-validated tools. The server defines tool metadata (name, description, input schema with JSON Schema) and registers tools with the MCP server runtime. Clients query the server's tool list via MCP's tools/list endpoint, receive schema definitions, and validate user inputs against schemas before invocation. This enables type-safe, self-documenting tool discovery without hardcoded client knowledge.","intents":["I want my MCP client to discover what search tools are available without reading documentation","I need to validate search parameters before sending them to the server","I'm building a generic MCP client that should work with any MCP server's tools"],"best_for":["MCP client developers building generic tool discovery and invocation","Framework developers creating MCP-compatible LLM integrations","Teams standardizing on MCP for interoperable tool ecosystems"],"limitations":["Schema validation happens on client side; server doesn't enforce schema at invocation time","Complex conditional schemas (if-then dependencies) not fully expressible in JSON Schema","Tool discovery is synchronous; no streaming or paginated tool lists for servers with many tools"],"requires":["MCP client implementation with tools/list and tools/call support","JSON Schema understanding in client","MCP protocol version 1.0+"],"input_types":["tool metadata (name, description, input schema)"],"output_types":["JSON Schema definitions for tool inputs","tool list response with all registered tools and their schemas"],"categories":["tool-use-integration","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"brave-search-mcp-server__cap_3","uri":"capability://tool.use.integration.json.rpc.protocol.transport.for.search.requests","name":"json-rpc-protocol-transport-for-search-requests","description":"Implements JSON-RPC 2.0 protocol layer for all search requests and responses. The server exposes tools/call endpoint that accepts JSON-RPC requests with tool name and parameters, executes the corresponding search operation, and returns results wrapped in JSON-RPC response format. Handles request/response correlation via JSON-RPC message IDs, enabling asynchronous and batched tool invocations. Supports both stdio and HTTP transport mechanisms for client-server communication.","intents":["I want to invoke search tools from my MCP client using a standardized RPC protocol","I need to batch multiple search requests and correlate responses by request ID","I'm integrating this server into an MCP client that expects JSON-RPC communication"],"best_for":["MCP client implementations using stdio or HTTP transport","Developers building MCP-compatible LLM integrations","Teams needing standardized RPC-based tool invocation"],"limitations":["JSON-RPC adds ~50-100ms overhead per request due to serialization/deserialization","No built-in request batching optimization; each tool call is a separate RPC message","Error handling follows JSON-RPC spec; custom error codes may not map to domain-specific errors"],"requires":["MCP client with JSON-RPC 2.0 support","Transport layer (stdio or HTTP) configured between client and server","Understanding of JSON-RPC request/response format"],"input_types":["JSON-RPC request object with method='tools/call', params containing tool name and arguments"],"output_types":["JSON-RPC response object with result containing tool output or error object"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"brave-search-mcp-server__cap_4","uri":"capability://data.processing.analysis.search.result.formatting.for.llm.consumption","name":"search-result-formatting-for-llm-consumption","description":"Transforms raw Brave Search API responses into LLM-optimized structured format. Extracts and normalizes key fields (title, description, URL) from API responses, removes HTML/formatting noise, truncates long descriptions to fit context windows, and orders results by relevance. Returns results as clean JSON arrays that LLMs can easily parse and reason about, with consistent field naming and types across web and local search results.","intents":["I want search results formatted so my LLM can easily parse and reason about them","I need to ensure search results fit within my LLM's context window","I want consistent result formatting across different search types (web vs local)"],"best_for":["LLM application developers who want clean, parseable search results","Agents that need to reason over search results and synthesize responses","Applications with strict context window constraints"],"limitations":["Truncation of long descriptions may lose important context","No customizable formatting; result structure is fixed by the server","Favicon and rich metadata from Brave API are stripped in basic formatting"],"requires":["Brave Search API response (JSON format)","MCP server processing pipeline"],"input_types":["raw Brave Search API JSON response"],"output_types":["normalized JSON array with title, description, url fields","optional: favicon URL, result type (web vs local)"],"categories":["data-processing-analysis","search-retrieval"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"brave-search-mcp-server__cap_5","uri":"capability://safety.moderation.api.key.authentication.and.credential.management","name":"api-key-authentication-and-credential-management","description":"Manages Brave Search API authentication by accepting API key via environment variable (BRAVE_SEARCH_API_KEY) or configuration file. The server validates the API key on startup and includes it in all outbound Brave API requests via Authorization header. Implements credential isolation so API keys are never exposed in logs, error messages, or client responses. Supports credential rotation by reloading environment variables without server restart.","intents":["I want to securely pass my Brave API key to the MCP server without hardcoding it","I need to ensure my API credentials aren't leaked in logs or error messages","I want to rotate API keys without restarting the server"],"best_for":["Production deployments requiring secure credential management","Teams using environment-based configuration (Docker, Kubernetes)","Applications with strict security and compliance requirements"],"limitations":["API key must be provided via environment variable; no interactive credential entry","No built-in key rotation scheduling; manual environment update required","Credential validation happens at startup; invalid keys detected only then","No audit logging of API key usage or rotation events"],"requires":["BRAVE_SEARCH_API_KEY environment variable set before server startup","Valid Brave Search API key from https://api.search.brave.com/","Secure environment configuration (no hardcoded keys in source)"],"input_types":["environment variable string (API key)"],"output_types":["validation status (success/failure on startup)"],"categories":["safety-moderation","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"brave-search-mcp-server__cap_6","uri":"capability://safety.moderation.error.handling.and.api.failure.recovery","name":"error-handling-and-api-failure-recovery","description":"Implements error handling for Brave API failures, network timeouts, and invalid search parameters. Maps Brave API error responses (rate limit, invalid query, auth failure) to MCP error format with descriptive messages. Implements exponential backoff retry logic for transient failures (network timeouts, 5xx errors) with configurable retry count. Returns structured error responses to clients that distinguish between client errors (invalid parameters) and server errors (API unavailable).","intents":["I want my agent to handle search failures gracefully without crashing","I need to know if a search failed due to rate limiting vs network issues","I want automatic retry for transient failures without client-side logic"],"best_for":["Production agents that need resilience to API failures","Applications with strict uptime requirements","Teams wanting transparent error handling without custom retry logic"],"limitations":["Retry logic only handles transient failures; permanent failures (auth, invalid query) fail immediately","No circuit breaker pattern; repeated failures don't prevent subsequent requests","Retry backoff is fixed exponential; no adaptive backoff based on error type","Rate limit errors are retried but may still fail if quota is exhausted"],"requires":["Network connectivity to Brave API","Proper error response handling in MCP client"],"input_types":["search query and parameters"],"output_types":["error response with error code, message, and retry-ability flag"],"categories":["safety-moderation","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"brave-search-mcp-server__cap_7","uri":"capability://data.processing.analysis.search.parameter.validation.and.sanitization","name":"search-parameter-validation-and-sanitization","description":"Validates search query parameters against the declared JSON Schema before invoking Brave API. Checks query length (typically 1-2000 characters), parameter types (string vs number), and optional parameters (count, offset, safesearch level). Sanitizes queries to remove potentially problematic characters or encoding issues. Returns validation errors to clients before making API calls, preventing malformed requests and reducing unnecessary API quota usage.","intents":["I want to validate search parameters before sending them to Brave API","I need to prevent malformed queries from wasting API quota","I want clear error messages when search parameters are invalid"],"best_for":["Applications with strict input validation requirements","Teams wanting to minimize API quota waste from invalid requests","Developers building generic MCP clients that need parameter validation"],"limitations":["Validation is schema-based; complex business logic validation not supported","Sanitization may remove legitimate characters (e.g., special search operators)","No rate limiting based on validation failures; spam queries still consume resources"],"requires":["JSON Schema definitions for tool parameters","MCP client that respects validation errors"],"input_types":["search query string and optional parameters (count, offset, safesearch)"],"output_types":["validation success/failure with error details if invalid"],"categories":["data-processing-analysis","safety-moderation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"brave-search-mcp-server__cap_8","uri":"capability://automation.workflow.multi.client.concurrent.search.handling","name":"multi-client-concurrent-search-handling","description":"Handles concurrent search requests from multiple MCP clients through asynchronous request processing. Each search request is processed independently without blocking other clients, using Node.js async/await patterns or Python asyncio. Maintains separate API rate limits and quota tracking per client (if configured), preventing one client's heavy usage from starving others. Implements request queuing if Brave API rate limits are approached, distributing quota fairly across concurrent clients.","intents":["I want multiple LLM agents to search concurrently without blocking each other","I need fair quota distribution across multiple clients using the same API key","I'm deploying this server to handle multiple concurrent agent requests"],"best_for":["Multi-agent systems with concurrent search needs","Shared MCP server deployments serving multiple clients","Applications with unpredictable search load patterns"],"limitations":["Concurrent requests share the same Brave API quota; no per-client quota isolation","Request queuing adds latency during high concurrency; no priority queue for urgent searches","No connection pooling optimization; each request may open new HTTP connection to Brave","Memory overhead increases with concurrent requests; no built-in connection limits"],"requires":["Async runtime (Node.js or Python asyncio)","Brave API quota sufficient for expected concurrent load"],"input_types":["concurrent search requests from multiple clients"],"output_types":["independent search results for each client"],"categories":["automation-workflow","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"brave-search-mcp-server__cap_9","uri":"capability://tool.use.integration.reference.implementation.pattern.documentation","name":"reference-implementation-pattern-documentation","description":"Serves as official MCP reference implementation for search API integration, demonstrating best practices for tool schema declaration, error handling, and credential management. Includes inline code comments explaining MCP protocol patterns, tool registration flow, and transport mechanisms. Provides example client configurations and integration patterns in README documentation, enabling developers to understand how to build similar MCP servers for other APIs.","intents":["I want to understand how to build an MCP server for a third-party API","I need to see example code for tool schema registration and invocation","I'm learning MCP patterns and want a reference implementation to study"],"best_for":["Developers building custom MCP servers","Teams learning MCP protocol patterns","Contributors to the MCP ecosystem"],"limitations":["Reference implementation may not cover all edge cases or production concerns","Documentation may lag behind protocol updates","Simplified implementation may not show advanced patterns (streaming, resources, prompts)"],"requires":["Understanding of MCP protocol basics","Ability to read TypeScript or Python code"],"input_types":["source code and documentation"],"output_types":["example patterns and best practices"],"categories":["tool-use-integration","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"brave-search-mcp-server__headline","uri":"capability://tool.use.integration.mcp.server.for.brave.search.api","name":"mcp server for brave search api","description":"An official MCP server designed for the Brave Search API, enabling web and local business searches with structured results tailored for LLM consumption.","intents":["best MCP server for search","MCP server for web search","MCP server for local business search","how to implement an MCP server for search","MCP server examples for developers"],"best_for":["developers looking for search solutions"],"limitations":[],"requires":[],"input_types":[],"output_types":[],"categories":["tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":75,"verified":false,"data_access_risk":"high","permissions":["Brave Search API key (obtain from https://api.search.brave.com/)","MCP client implementation (Claude Desktop, custom client, or MCP-compatible IDE)","Node.js 16+ (for TypeScript server) or Python 3.8+ (if Python implementation exists)","Network connectivity to Brave API endpoints","Brave Search API key with local search capability enabled","Location data (latitude/longitude coordinates or place name)","MCP client with tool invocation support","MCP client implementation with tools/list and tools/call support","JSON Schema understanding in client","MCP protocol version 1.0+"],"failure_modes":["Requires valid Brave Search API key with active subscription or free tier quota","Search results are limited to Brave's index; cannot search proprietary/paywalled content","No built-in result caching or deduplication across repeated queries","Rate limiting depends on Brave API tier; free tier has strict limits","Requires explicit location context; cannot infer user location from IP alone","Business data freshness depends on Brave's index update frequency","Limited to Brave's business database coverage; sparse in some regions","No real-time availability or reservation integration","Schema validation happens on client side; server doesn't enforce schema at invocation time","Complex conditional schemas (if-then dependencies) not fully expressible in JSON Schema","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.7,"quality":0.9,"ecosystem":0.52,"match_graph":0.25,"freshness":0.52,"weights":{"adoption":0.25,"quality":0.25,"ecosystem":0.15,"match_graph":0.23,"freshness":0.12}},"observed_outcomes":{"matches":0,"success_rate":0,"avg_confidence":0,"top_intents":[],"last_matched_at":null},"maintenance":{"status":"active","updated_at":"2026-06-17T09:51:04.690Z","last_scraped_at":null,"last_commit":null},"community":{"stars":null,"forks":null,"weekly_downloads":null,"model_downloads":null,"model_likes":null}},"distribution":{"claim_url":"https://unfragile.ai/submit?claim=brave-search-mcp-server","compare_url":"https://unfragile.ai/compare?artifact=brave-search-mcp-server"}},"signature":"eX2w4Ii2eqwvDgIKc7x8YxsoMszbpjuyuOE6usMGour/1tD/YLma7YDbG/fBgpoTBTk9NyHvYczquAwdjnX0Dw==","signedAt":"2026-06-20T10:45:59.612Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/brave-search-mcp-server","artifact":"https://unfragile.ai/brave-search-mcp-server","verify":"https://unfragile.ai/api/v1/verify?slug=brave-search-mcp-server","publicKey":"https://unfragile.ai/api/v1/trust-passport-public-key","spec":"https://unfragile.ai/trust","schema":"https://unfragile.ai/schema.json","docs":"https://unfragile.ai/docs"}}