{"$schema":"https://wellknown.network/schemas/agent-record-v1.json","schemaVersion":"1","id":"ag_7hud3trgerj4","handle":"iflow-mcp-agentic-rag-with-mcp-server-1","url":"https://wellknown.network/agents/iflow-mcp-agentic-rag-with-mcp-server-1","links":{"self":"https://wellknown.network/agents/iflow-mcp-agentic-rag-with-mcp-server-1/record.json","html":"https://wellknown.network/agents/iflow-mcp-agentic-rag-with-mcp-server-1","markdown":"https://wellknown.network/agents/iflow-mcp-agentic-rag-with-mcp-server-1/record.md","api":"https://wellknown.network/api/v1/agents/iflow-mcp-agentic-rag-with-mcp-server-1","status":"https://wellknown.network/api/v1/agents/iflow-mcp-agentic-rag-with-mcp-server-1/status","claim":"https://wellknown.network/agents/iflow-mcp-agentic-rag-with-mcp-server-1/claim","claimApi":"https://wellknown.network/api/v1/claims","claimDescriptor":"https://wellknown.network/agents/iflow-mcp-agentic-rag-with-mcp-server-1/claim.json","badge":"https://wellknown.network/agents/iflow-mcp-agentic-rag-with-mcp-server-1/badge.svg","openapi":"https://wellknown.network/openapi.json","history":"https://wellknown.network/api/v1/agents/iflow-mcp-agentic-rag-with-mcp-server-1/history","tools":"https://wellknown.network/api/v1/agents/iflow-mcp-agentic-rag-with-mcp-server-1/tools"},"ard":{"identifier":"urn:air::server:iflow-mcp-agentic-rag-with-mcp-server-1","type":"application/mcp-server-card+json"},"kind":"mcp_server","declared":{"name":"iflow-mcp_Agentic-RAG-with-MCP-Server-1","summary":"Agentic RAG with MCP Server - Powerful tools for entity extraction, query refinement, and relevance checking","description":"# 🚀 Agentic RAG with MCP Server [![Agentic-RAG-MCPServer - AgenticRag](https://img.shields.io/badge/Agentic--RAG--MCPServer-AgenticRag-blueviolet)](https://github.com/ashishpatel26/Agentic-RAG-with-MCP-Server)\n\n---\n\n## ✨ Overview\n\n![](Image/AgenticRAGMCPServer.gif)\n\n**Agentic RAG with MCP Server** is a powerful project that brings together an MCP (Model Context Protocol) server and client for building **Agentic RAG** (Retrieval-Augmented Generation) applications.\n\nThis setup empowers your RAG system with advanced tools such as:\n\n* 🕵️‍♂️ **Entity Extraction**\n* 🔍 **Query Refinement**\n* ✅ **Relevance Checking**\n\nThe server hosts these intelligent tools, while the client shows how to seamlessly connect and utilize them.\n\n---\n\n## 🖥️ Server — `server.py`\n\nPowered by the `FastMCP` class from the `mcp` library, the server exposes these handy tools:\n\n| Tool Name               | Description                                                                               | Icon |\n| ----------------------- | ----------------------------------------------------------------------------------------- | ---- |\n| `get_time_with_prefix`  | Returns the **current date & time**                                                       | ⏰    |\n| `extract_entities_tool` | Uses **OpenAI** to extract entities from a query — enhancing document retrieval relevance | 🧠   |\n| `refine_query_tool`     | Improves the quality of user queries with **OpenAI-powered refinement**                   | ✨    |\n| `check_relevance`       | Filters out irrelevant content by checking chunk relevance with an LLM                    | ✅    |\n\n---\n\n## 🤝 Client — `mcp-client.py`\n\nThe client demonstrates how to connect and interact with the MCP server:\n\n* Establish a connection with `ClientSession` from the `mcp` library\n* List all available server tools\n* Call any tool with custom arguments\n* Process queries leveraging **OpenAI or Gemini** and MCP tools in tandem\n\n---\n\n## ⚙️ Requirements\n\n* Python 3.9 or higher\n* …","publisher":null,"homepage":"https://github.com/iflow-mcp/Agentic-RAG-with-MCP-Server-1","repository":"https://github.com/iflow-mcp/Agentic-RAG-with-MCP-Server-1","version":"0.1.0","license":"MIT","protocols":["mcp"],"tags":["mcp"],"pricing":null,"endpoints":[{"url":"pypi:iflow-mcp_agentic-rag-with-mcp-server-1","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":"data.vector-search","name":"Vector Search","confidence":1,"provenance":"derived"}],"categories":["data"],"language":"en"},"observed":{"status":"unknown","statusReason":"Distributed as a package to run locally; 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