{"$schema":"https://wellknown.network/schemas/agent-record-v1.json","schemaVersion":"1","id":"ag_u9bnrm8k6dbg","handle":"iflow-mcp-mcp-duckduckgo","url":"https://wellknown.network/agents/iflow-mcp-mcp-duckduckgo","links":{"self":"https://wellknown.network/agents/iflow-mcp-mcp-duckduckgo/record.json","html":"https://wellknown.network/agents/iflow-mcp-mcp-duckduckgo","markdown":"https://wellknown.network/agents/iflow-mcp-mcp-duckduckgo/record.md","api":"https://wellknown.network/api/v1/agents/iflow-mcp-mcp-duckduckgo","status":"https://wellknown.network/api/v1/agents/iflow-mcp-mcp-duckduckgo/status","claim":"https://wellknown.network/agents/iflow-mcp-mcp-duckduckgo/claim","claimApi":"https://wellknown.network/api/v1/claims","claimDescriptor":"https://wellknown.network/agents/iflow-mcp-mcp-duckduckgo/claim.json","badge":"https://wellknown.network/agents/iflow-mcp-mcp-duckduckgo/badge.svg","openapi":"https://wellknown.network/openapi.json","history":"https://wellknown.network/api/v1/agents/iflow-mcp-mcp-duckduckgo/history","tools":"https://wellknown.network/api/v1/agents/iflow-mcp-mcp-duckduckgo/tools"},"ard":{"identifier":"urn:air::server:iflow-mcp-mcp-duckduckgo","type":"application/mcp-server-card+json"},"kind":"mcp_server","declared":{"name":"iflow-mcp_mcp-duckduckgo","summary":"DuckDuckGo search plugin for Model Context Protocol","description":"# MCP DuckDuckGo\n\nA Model Context Protocol (MCP) server that provides web search capabilities using [DuckDuckGo](https://duckduckgo.com). This server enables LLMs to search the web and retrieve detailed content from websites through structured data extraction.\n\n## Key Features\n- **Fast and reliable**. Uses DuckDuckGo's web interface with robust HTML parsing\n- **LLM-friendly**. Returns structured data optimized for AI consumption\n- **Content extraction**. Intelligently extracts and summarizes webpage content\n- **Related searches**. Generates contextual search suggestions\n\n## Requirements\n- Python 3.10 or newer\n- VS Code, Cursor, Windsurf, Claude Desktop, Goose or any other MCP client\n\n## Getting started\n\nFirst, install the DuckDuckGo MCP server with your client.\n\n**Standard config** works in most of the tools:\n\n```json\n{\n  \"mcpServers\": {\n    \"duckduckgo-search\": {\n      \"command\": \"mcp-duckduckgo\"\n    }\n  }\n}\n```\n\n### Claude Code\n\nUse the Claude Code CLI to add the DuckDuckGo MCP server:\n```bash\nclaude mcp add duckduckgo-search mcp-duckduckgo\n```\n\nFor global configuration (available in all projects):\n```bash\nclaude mcp add duckduckgo-search --scope user mcp-duckduckgo\n```\n\n### Claude Desktop\n\nFollow the MCP install [guide](https://modelcontextprotocol.io/quickstart/user), use the standard config above.\n\n### Cursor\n\nGo to `Cursor Settings` -> `MCP` .\n\n#### Click the button to install:\n[Install in Cursor](https://cursor.com/en/install-mcp?name=DuckDuckGo&config=eyJjb21tYW5kIjoibWNwLWR1Y2tkdWNrZ28ifQ%3D%3D)\n\n#### Or install manually:\nGo to `Cursor Settings` -> `MCP` -> `Add new MCP Server`. Name to your liking, use `command` type with the command `mcp-duckduckgo`.\n\n### VS Code\n\n#### Click the button to install:\n[Install in VS Code](https://insiders.vscode.dev/redirect?url=vscode%3Amcp%2Finstall%3F%257B%2522name%2522%253A%2522duckduckgo-search%2522%252C%2522command%2522%253A%2522mcp-duckduckgo%2522%257D)\n\n#### Or install manually:\nFollow the MCP install [guide](https:/…","publisher":null,"homepage":"https://github.com/gianlucamazza/mcp-duckduckgo#readme","repository":"https://github.com/gianlucamazza/mcp-duckduckgo/issues","version":"0.2.0","license":"MIT License  Copyright (c) 2025 Gianluca Mazza  Permission is h…","protocols":["mcp"],"tags":["mcp","duckduckgo","search","claude","anthropic","llm","ai"],"pricing":null,"endpoints":[{"url":"pypi:iflow-mcp_mcp-duckduckgo","type":"package_pypi","auth":null,"probeable":false}],"skills":null,"tools":null,"extra":null,"attribution":{"kind":"pypi","name":"pypi","license":"pypi","repoUrl":"pypi","summary":"pypi","version":"pypi","description":"pypi","homepageUrl":"pypi"}},"derived":{"capabilities":[{"slug":"documents.extraction","name":"Data Extraction","confidence":0.894,"provenance":"derived"},{"slug":"data.web-search","name":"Web Search","confidence":0.894,"provenance":"derived"}],"categories":["data","documents"],"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_mcp-duckduckgo","registry":"pypi","observedAt":"2026-10-28T05:24:06.173Z","publishedAt":"2025-11-28T03:51:20.138262Z","latestVersion":"0.2.0"},"toolSurface":null,"endpointFacts":[]},"verification":{"claimed":false,"claimedAt":null,"proofs":[]},"provenance":{"sources":[{"source":"pypi","key":"iflow-mcp_mcp-duckduckgo","url":"https://pypi.org/project/iflow-mcp_mcp-duckduckgo/","firstSeenAt":"2026-09-09T20:23:20.856Z","fetchedAt":"2026-10-28T05:22:45.299Z","normalizedAt":"2026-10-28T05:22:45.299Z"}]},"firstSeenAt":"2026-09-09T20:23:20.856Z","updatedAt":"2026-10-28T05:24:06.173Z"}