{"$schema":"https://wellknown.network/schemas/agent-record-v1.json","schemaVersion":"1","id":"ag_pp2pmbqhvwcg","handle":"iflow-mcp-tripadvisor-mcp","url":"https://wellknown.network/agents/iflow-mcp-tripadvisor-mcp","links":{"self":"https://wellknown.network/agents/iflow-mcp-tripadvisor-mcp/record.json","html":"https://wellknown.network/agents/iflow-mcp-tripadvisor-mcp","markdown":"https://wellknown.network/agents/iflow-mcp-tripadvisor-mcp/record.md","api":"https://wellknown.network/api/v1/agents/iflow-mcp-tripadvisor-mcp","status":"https://wellknown.network/api/v1/agents/iflow-mcp-tripadvisor-mcp/status","claim":"https://wellknown.network/agents/iflow-mcp-tripadvisor-mcp/claim","claimApi":"https://wellknown.network/api/v1/claims","claimDescriptor":"https://wellknown.network/agents/iflow-mcp-tripadvisor-mcp/claim.json","badge":"https://wellknown.network/agents/iflow-mcp-tripadvisor-mcp/badge.svg","openapi":"https://wellknown.network/openapi.json","history":"https://wellknown.network/api/v1/agents/iflow-mcp-tripadvisor-mcp/history","tools":"https://wellknown.network/api/v1/agents/iflow-mcp-tripadvisor-mcp/tools"},"ard":{"identifier":"urn:air::server:iflow-mcp-tripadvisor-mcp","type":"application/mcp-server-card+json"},"kind":"mcp_server","declared":{"name":"iflow-mcp_tripadvisor_mcp","summary":"MCP server for Tripadvisor Content API integration","description":"# Tripadvisor MCP Server\n\nA [Model Context Protocol][mcp] (MCP) server for Tripadvisor Content API.\n\nThis provides access to Tripadvisor location data, reviews, and photos through standardized MCP interfaces, allowing AI assistants to search for travel destinations and experiences.\n\n[mcp]: https://modelcontextprotocol.io\n\n## Features\n\n- [x] Search for locations (hotels, restaurants, attractions) on Tripadvisor\n- [x] Get detailed information about specific locations\n- [x] Retrieve reviews and photos for locations\n- [x] Search for nearby locations based on coordinates\n- [x] API Key authentication\n- [x] Docker containerization support\n\n- [x] Provide interactive tools for AI assistants\n\nThe list of tools is configurable, so you can choose which tools you want to make available to the MCP client.\n\n## Usage\n\n1. Get your Tripadvisor Content API key from the [Tripadvisor Developer Portal](https://developer.tripadvisor.com/).\n\n2. Configure the environment variables for your Tripadvisor Content API, either through a `.env` file or system environment variables:\n\n```env\n# Required: Tripadvisor Content API configuration\nTRIPADVISOR_API_KEY=your_api_key_here\n```\n\n3. Add the server configuration to your client configuration file. For example, for Claude Desktop:\n\n```json\n{\n  \"mcpServers\": {\n    \"tripadvisor\": {\n      \"command\": \"uv\",\n      \"args\": [\n        \"--directory\",\n        \"<full path to tripadvisor-mcp directory>\",\n        \"run\",\n        \"src/tripadvisor_mcp/main.py\"\n      ],\n      \"env\": {\n        \"TRIPADVISOR_API_KEY\": \"your_api_key_here\"\n      }\n    }\n  }\n}\n```\n\n> Note: if you see `Error: spawn uv ENOENT` in Claude Desktop, you may need to specify the full path to `uv` or set the environment variable `NO_UV=1` in the configuration.\n\n## Docker Usage\n\nThis project includes Docker support for easy deployment and isolation.\n\n### Building the Docker Image\n\nBuild the Docker image using:\n\n```bash\ndocker build -t tripadvisor-mcp-server .\n```\n\n### Running with Docker\n\nYou can r…","publisher":null,"homepage":null,"repository":null,"version":"0.1.0","license":null,"protocols":["mcp"],"tags":["mcp"],"pricing":null,"endpoints":[{"url":"pypi:iflow-mcp_tripadvisor_mcp","type":"package_pypi","auth":null,"probeable":false,"listed":true}],"skills":null,"tools":null,"extra":null,"attribution":{"kind":"pypi","name":"pypi","summary":"pypi","version":"pypi","description":"pypi"}},"derived":{"capabilities":[{"slug":"commerce.travel","name":"Travel & Booking","confidence":0.768,"provenance":"derived"}],"categories":["commerce"],"language":"en"},"observed":{"status":"unknown","statusReason":"Distributed as a package to run locally; no network endpoint to check.","lastOkAt":null,"lastProbedAt":null,"statusComputedAt":null,"reliability30d":null,"latestObservations":[],"tools":null,"package":{"name":"iflow-mcp_tripadvisor_mcp","registry":"pypi","observedAt":"2026-11-09T11:25:51.775Z","publishedAt":"2025-11-10T06:50:28.052483Z","latestVersion":"0.1.0"},"toolSurface":null,"endpointFacts":[]},"verification":{"claimed":false,"claimedAt":null,"proofs":[]},"provenance":{"sources":[{"source":"pypi","key":"iflow-mcp_tripadvisor_mcp","url":"https://pypi.org/project/iflow-mcp_tripadvisor_mcp/","firstSeenAt":"2026-09-09T21:24:34.415Z","fetchedAt":"2026-11-09T11:23:52.222Z","normalizedAt":"2026-11-09T11:23:52.222Z"}]},"firstSeenAt":"2026-09-09T21:24:34.415Z","updatedAt":"2026-11-09T11:25:51.775Z"}