{"$schema":"https://wellknown.network/schemas/agent-record-v1.json","schemaVersion":"1","id":"ag_twrt3h3ehxdw","handle":"iflow-mcp-the-ai-workshops-searxng-mcp-server","url":"https://wellknown.network/agents/iflow-mcp-the-ai-workshops-searxng-mcp-server","links":{"self":"https://wellknown.network/agents/iflow-mcp-the-ai-workshops-searxng-mcp-server/record.json","html":"https://wellknown.network/agents/iflow-mcp-the-ai-workshops-searxng-mcp-server","markdown":"https://wellknown.network/agents/iflow-mcp-the-ai-workshops-searxng-mcp-server/record.md","api":"https://wellknown.network/api/v1/agents/iflow-mcp-the-ai-workshops-searxng-mcp-server","status":"https://wellknown.network/api/v1/agents/iflow-mcp-the-ai-workshops-searxng-mcp-server/status","claim":"https://wellknown.network/agents/iflow-mcp-the-ai-workshops-searxng-mcp-server/claim","claimApi":"https://wellknown.network/api/v1/claims","claimDescriptor":"https://wellknown.network/agents/iflow-mcp-the-ai-workshops-searxng-mcp-server/claim.json","badge":"https://wellknown.network/agents/iflow-mcp-the-ai-workshops-searxng-mcp-server/badge.svg","openapi":"https://wellknown.network/openapi.json","history":"https://wellknown.network/api/v1/agents/iflow-mcp-the-ai-workshops-searxng-mcp-server/history","tools":"https://wellknown.network/api/v1/agents/iflow-mcp-the-ai-workshops-searxng-mcp-server/tools"},"ard":{"identifier":"urn:air::server:iflow-mcp-the-ai-workshops-searxng-mcp-server","type":"application/mcp-server-card+json"},"kind":"mcp_server","declared":{"name":"iflow-mcp_the-ai-workshops-searxng-mcp-server","summary":"MCP server to search the web using SearXNG instance","description":"# SearXNG MCP Server\n\nAn MCP sse implementation of the Model Context Protocol (MCP) server integrated with [SearXNG](https://github.com/searxng/searxng) for providing AI agents with powerful, privacy-respecting search capabilities.\n\n---\n\n## Overview\n\nThis project demonstrates how to build an MCP server that enables AI agents to perform web searches using a SearXNG instance. It serves as a practical template for creating your own MCP servers, using SearXNG as a backend.\n\nThe implementation follows the best practices laid out by Anthropic for building MCP servers, allowing seamless integration with any MCP-compatible client.\n\n---\n\n## Prerequisites\n\n- Python 3.9+\n- Access to a running SearXNG instance (local or remote)\n- Docker (optional, for containerized deployment)\n- [uv](https://github.com/astral-sh/uv) (optional, for fast Python dependency management)\n- [Smithery](https://github.com/The-AI-Workshops/smithery) (optional, for MCP server management)\n\n### SearXNG Server (Required)\n\nYou must have a SearXNG server running and accessible. The recommended way is via Docker:\n\n```bash\ndocker run -d --name=searxng -p 32768:8080 -v \"/root/searxng:/etc/searxng\" \\\n  -e \"BASE_URL=http://0.0.0.0:32768/\" \\\n  -e \"INSTANCE_NAME=home\" \\\n  --restart always searxng/searxng\n```\n\n- This will run SearXNG on port 32768 and persist configuration in `/root/searxng`.\n- The MCP server expects SearXNG to be available at `http://172.17.0.1:32768` by default (see `.env`).\n\n---\n\n## Installation\n\n### Using uv\n\nInstall uv if you don't have it:\n\n```bash\npip install uv\n```\n\nClone this repository:\n\n```bash\ngit clone https://github.com/The-AI-Workshops/searxng-mcp-server.git\ncd searxng-mcp-server/dev/searXNG-mcp\n```\n\nInstall dependencies:\n\n```bash\nuv pip install -r requirements.txt\n```\n\nCreate a `.env` file based on the provided example:\n\n```bash\nnano .env\n# Edit .env as needed\n```\n\nConfigure your environment variables in the `.env` file (see Configuration section).\n\n---\n\n### Using Docker (Recommended)…","publisher":null,"homepage":null,"repository":null,"version":"0.1.1","license":null,"protocols":["mcp"],"tags":["mcp"],"pricing":null,"endpoints":[{"url":"pypi:iflow-mcp_the-ai-workshops-searxng-mcp-server","type":"package_pypi","auth":null,"probeable":false}],"skills":null,"tools":null,"extra":null,"attribution":{"kind":"pypi","name":"pypi","summary":"pypi","version":"pypi","description":"pypi"}},"derived":{"capabilities":[{"slug":"dev.version-control","name":"Version Control","confidence":1,"provenance":"derived"},{"slug":"data.web-search","name":"Web Search","confidence":0.894,"provenance":"derived"},{"slug":"dev.ci-cd","name":"CI/CD & Deploy","confidence":0.779,"provenance":"derived"}],"categories":["data","dev"],"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_the-ai-workshops-searxng-mcp-server","registry":"pypi","observedAt":"2026-09-15T20:21:28.756Z","publishedAt":"2026-02-05T08:41:32.615526Z","latestVersion":"0.1.1"},"toolSurface":null,"endpointFacts":[]},"verification":{"claimed":false,"claimedAt":null,"proofs":[]},"provenance":{"sources":[{"source":"pypi","key":"iflow-mcp_the-ai-workshops-searxng-mcp-server","url":"https://pypi.org/project/iflow-mcp_the-ai-workshops-searxng-mcp-server/","firstSeenAt":"2026-09-09T21:24:21.996Z","fetchedAt":"2026-09-15T20:20:05.406Z","normalizedAt":"2026-09-15T20:20:05.406Z"}]},"firstSeenAt":"2026-09-09T21:24:21.996Z","updatedAt":"2026-09-15T20:21:28.756Z"}