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Implements MCP server architecture with tool definition schemas that declare search parameters, enabling LLM agents to autonomously decide when and how to search the web without requiring direct API integration in client code.","intents":["Enable Claude to search the web in real-time during conversations without leaving the MCP interface","Build LLM agents that can autonomously decide to search for current information when needed","Integrate web search into multi-tool agent workflows alongside other MCP servers","Allow non-technical users to give Claude web-browsing capabilities through MCP client configuration"],"best_for":["AI engineers building multi-tool LLM agents with Claude or other MCP-compatible models","Teams deploying Claude with real-time information requirements","Developers integrating web search into existing MCP server ecosystems"],"limitations":["Depends on underlying web search provider (likely Brave, Google, or similar) — rate limits and API costs apply","Search results quality and freshness depend on the backend search engine used","No built-in result caching or deduplication across multiple agent invocations","MCP protocol overhead adds latency compared to direct API calls — typically 50-200ms per request"],"requires":["MCP-compatible client (Claude desktop, Cline, or other MCP host)","Web search API credentials (provider-specific: Brave Search API key, Google Custom Search, or equivalent)","Network connectivity to reach the MCP server and upstream search provider"],"input_types":["text (search query string)"],"output_types":["structured data (JSON array of search results with title, URL, snippet, metadata)"],"categories":["tool-use-integration","search-retrieval"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"smithery_ankushthakur2007-miyami-websearch-mcp__cap_1","uri":"capability://tool.use.integration.mcp.tool.schema.definition.and.registration","name":"mcp-tool-schema-definition-and-registration","description":"Defines and registers web search as an MCP tool by declaring its parameters, return types, and descriptions in the MCP tool schema format. The server exposes tool metadata (name, description, input schema with JSON Schema validation) that MCP clients parse to understand how to invoke the search capability, enabling automatic tool discovery and validation without manual configuration.","intents":["Declare search parameters (query, filters, result count) in a machine-readable format that Claude can understand","Enable MCP clients to automatically discover and validate search tool inputs before invocation","Provide clear documentation of search capabilities to LLM agents through structured metadata","Ensure type safety and parameter validation at the MCP protocol level"],"best_for":["MCP server developers building tool-exposing integrations","Teams standardizing on MCP for agent tool orchestration","Developers who want automatic tool discovery without manual prompt engineering"],"limitations":["Schema validation is limited to JSON Schema capabilities — complex conditional logic requires custom validation in the server","Tool descriptions must be manually written; no automatic generation from docstrings","Changes to tool schema require server restart to propagate to clients"],"requires":["MCP protocol version 1.0+","Understanding of JSON Schema for parameter definition","MCP-compatible client that supports tool discovery"],"input_types":["JSON (tool schema definition)"],"output_types":["structured metadata (MCP tool definition with name, description, input schema)"],"categories":["tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"smithery_ankushthakur2007-miyami-websearch-mcp__cap_2","uri":"capability://tool.use.integration.mcp.server.lifecycle.management","name":"mcp-server-lifecycle-management","description":"Implements the MCP server lifecycle including initialization, request handling, and graceful shutdown. The server listens for MCP protocol messages (tool calls, resource requests), routes them to appropriate handlers, and returns responses in MCP format. Manages connection state and error handling to ensure reliable communication between MCP clients and the search backend.","intents":["Keep a persistent MCP server running that responds to tool invocation requests from Claude","Handle multiple concurrent search requests from MCP clients without blocking","Gracefully handle errors and timeouts from the upstream search provider","Maintain connection state and protocol compliance with MCP clients"],"best_for":["Developers deploying MCP servers in production environments","Teams running Claude with persistent tool access","Operators managing multi-tool MCP server ecosystems"],"limitations":["Single-threaded or limited concurrency depending on implementation — may bottleneck under high request volume","No built-in load balancing or horizontal scaling — requires external orchestration (Docker, Kubernetes) for HA","Server restarts drop in-flight requests — no request persistence or retry queue","Error handling depends on implementation — upstream search provider failures may not be gracefully degraded"],"requires":["Node.js 16+ or Python 3.8+ (depending on implementation language)","MCP SDK for the chosen language","Network port availability for MCP server binding"],"input_types":["MCP protocol messages (JSON-RPC format)"],"output_types":["MCP protocol responses (JSON-RPC format with tool results or errors)"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"smithery_ankushthakur2007-miyami-websearch-mcp__cap_3","uri":"capability://search.retrieval.search.query.execution.and.result.formatting","name":"search-query-execution-and-result-formatting","description":"Accepts a search query string from an MCP client, executes it against a web search backend (likely Brave Search, Google Custom Search, or similar), and formats the results into a structured response. Handles query normalization, backend API communication, result parsing, and formatting into a consistent JSON structure that includes title, URL, snippet, and metadata for each result.","intents":["Execute a user's search query against a live web search engine and return current results","Format raw search results into a consistent structure that Claude can easily parse and reason about","Handle search provider API responses and convert them to MCP-compatible output format","Support filtering or limiting results (e.g., top 10 results, specific domains)"],"best_for":["LLM agents that need real-time web information for reasoning and response generation","Applications requiring current information (news, prices, availability) that training data cannot provide","Multi-turn conversations where search results inform subsequent agent decisions"],"limitations":["Search quality depends entirely on the backend provider — no custom ranking or relevance tuning","No deduplication of results across multiple searches — agents may see redundant information","Result freshness depends on search engine crawl frequency — very recent content may not be indexed","No built-in result caching — repeated identical queries hit the backend API each time, incurring costs","Search result snippets may be truncated or incomplete, requiring agents to fetch full pages for detail"],"requires":["Active API credentials for a web search provider (Brave Search, Google Custom Search, Bing Search, etc.)","Network connectivity to the search provider's API endpoint","Parsing logic for the specific search provider's JSON response format"],"input_types":["text (search query string, optional filters like result count or domain restrictions)"],"output_types":["structured data (JSON array with objects containing: title, url, snippet, date, domain, metadata)"],"categories":["search-retrieval","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"smithery_ankushthakur2007-miyami-websearch-mcp__cap_4","uri":"capability://tool.use.integration.claude.agent.tool.invocation.integration","name":"claude-agent-tool-invocation-integration","description":"Enables Claude (or other MCP-compatible LLM agents) to autonomously invoke the web search tool as part of its reasoning process. Claude's tool-use capability discovers the search tool through MCP metadata, decides when to invoke it based on context, formats the search query, and integrates results back into its reasoning loop. The agent can chain multiple searches and use results to inform subsequent actions.","intents":["Allow Claude to search the web mid-conversation when it needs current information to answer a question","Enable multi-step agent workflows where search results inform subsequent tool calls or reasoning","Give Claude the ability to fact-check or verify information by searching in real-time","Support complex queries that require combining search results with Claude's reasoning"],"best_for":["Claude desktop users who want web search capabilities without leaving the interface","AI engineers building Claude-based agents that need real-time information","Teams deploying Claude for research, fact-checking, or information synthesis tasks"],"limitations":["Claude's tool invocation decisions are non-deterministic — same query may or may not trigger a search depending on context","No explicit control over when Claude searches — developers cannot force or prevent searches programmatically","Search results are limited by Claude's context window — very large result sets may be truncated","Claude may misinterpret search results or fail to integrate them correctly into reasoning","Tool invocation adds latency to Claude's response time — typically 1-5 seconds per search"],"requires":["Claude model with tool-use capability (Claude 3+)","MCP client configured to load the miyami-websearch-mcp server","Claude desktop or other MCP-compatible Claude interface"],"input_types":["natural language (user query that may implicitly require web search)"],"output_types":["natural language (Claude's response incorporating search results)"],"categories":["tool-use-integration","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":27,"verified":false,"data_access_risk":"moderate","permissions":["MCP-compatible client (Claude desktop, Cline, or other MCP host)","Web search API credentials (provider-specific: Brave Search API key, Google Custom Search, or equivalent)","Network connectivity to reach the MCP server and upstream search provider","MCP protocol version 1.0+","Understanding of JSON Schema for parameter definition","MCP-compatible client that supports tool discovery","Node.js 16+ or Python 3.8+ (depending on implementation language)","MCP SDK for the chosen language","Network port availability for MCP server binding","Active API credentials for a web search provider (Brave Search, Google Custom Search, Bing Search, etc.)"],"failure_modes":["Depends on underlying web search provider (likely Brave, Google, or similar) — rate limits and API costs apply","Search results quality and freshness depend on the backend search engine used","No built-in result caching or deduplication across multiple agent invocations","MCP protocol overhead adds latency compared to direct API calls — typically 50-200ms per request","Schema validation is limited to JSON Schema capabilities — complex conditional logic requires custom validation in the server","Tool descriptions must be manually written; no automatic generation from docstrings","Changes to tool schema require server restart to propagate to clients","Single-threaded or limited concurrency depending on implementation — may bottleneck under high request volume","No built-in load balancing or horizontal scaling — requires external orchestration (Docker, Kubernetes) for HA","Server restarts drop in-flight requests — no request persistence or retry queue","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.05,"quality":0.2,"ecosystem":0.52,"match_graph":0.25,"freshness":0.6,"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":"2026-05-24T12:16:25.635Z","last_scraped_at":"2026-05-03T15:19:15.095Z","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=ankushthakur2007-miyami-websearch-mcp","compare_url":"https://unfragile.ai/compare?artifact=ankushthakur2007-miyami-websearch-mcp"}},"signature":"zWoKKQtwVqUMWAa/Hici/qIp9AWNbp5J5hDk42fXmoUbC/hpqFFz5ZpnCwjVfavHCiSXjhINtErHo6ag99zAAw==","signedAt":"2026-06-20T03:46:51.611Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/ankushthakur2007-miyami-websearch-mcp","artifact":"https://unfragile.ai/ankushthakur2007-miyami-websearch-mcp","verify":"https://unfragile.ai/api/v1/verify?slug=ankushthakur2007-miyami-websearch-mcp","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"}}