How do I install Model Context Protocol Server MCP Server?

Follow the setup instructions on the Model Context Protocol Server GitHub repository, then add the server configuration to your AI client.

What category is Model Context Protocol Server MCP Server?

Model Context Protocol Server is categorized under APIs, Search & Data Extraction. Browse more servers in these categories on MCPgee.

Model Context Protocol Server

Name: Model Context Protocol Server
Author: ashishpatel26

v1.0.0•APIs•stable

Provides a standardized protocol for tool invocation, enabling an AI system to search the web, retrieve information, and provide relevant answers through integration with LangChain, RAG, and Ollama.

model-context-protocol-servermcpai-integration

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What is Model Context Protocol Server?

Model Context Protocol Server is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to provides a standardized protocol for tool invocation, enabling an ai system to search the web, retrieve information, and provide relevant answers through integration with langchain, rag, and ollama.

Provides a standardized protocol for tool invocation, enabling an AI system to search the web, retrieve information, and provide relevant answers through integration with LangChain, RAG, and Ollama.

This server falls under the APIs and Search & Data Extraction categories on MCPgee, the world's largest MCP server directory with 33,000+ servers.

Features

Provides a standardized protocol for tool invocation, enabli

Use Cases

Search the web and retrieve information via standardized protocol.

Integrate RAG and LangChain systems.

Provide relevant answers through AI-powered search.

ashishpatel26

Maintainer

LicenseMIT License

Languagepython

Versionv1.0.0

UpdatedApr 9, 2026

Statushealthy

Maintenanceactive

Works with

ClaudeOpenAIwindowsmacoslinux

View Source Browse All Servers

Installation

Manual Installation

npx model-context-protocol-server

Configuration

Configuration Details

Config File

claude_desktop_config.json

Performance

Response Metrics

Response Time< 200ms

ThroughputMedium

Resource Usage

Memory UsageLow

CPU UsageLow

How to Set Up and Use Model Context Protocol Server

Agentic RAG with MCP Server is a Python project that hosts an MCP server exposing intelligent retrieval-augmented generation tools powered by OpenAI. It provides tools for entity extraction, query refinement, and relevance checking so that AI clients can perform structured, context-aware document retrieval via a standardized protocol. Developers use it to build Agentic RAG pipelines where an LLM client calls server-side tools to improve search quality before querying a knowledge base.

Prerequisites

Python 3.9 or higher installed
An OpenAI API key (used by the server tools)
Optionally a Google Gemini API key for the client
The `mcp` Python library and `openai` package (installed via pip)
An MCP-compatible client such as Claude Desktop

Clone the repository

Clone the Agentic-RAG-with-MCP-Server repository and enter the project directory.

git clone https://github.com/ashishpatel26/Agentic-RAG-with-MCP-Server.git
cd Agentic-RAG-with-MCP-Server

Install Python dependencies

Install all required packages including the MCP library, OpenAI client, and python-dotenv.

pip install -r requirements.txt

Configure environment variables

Copy the sample environment file and add your OpenAI model name and optional Gemini API key.

cp .env.sample .env
# Edit .env and set:
# OPENAI_MODEL_NAME="gpt-4o"
# GEMINI_API_KEY="your-gemini-key"

Start the MCP server

Launch the FastMCP-based server. It exposes four tools: get_time_with_prefix, extract_entities_tool, refine_query_tool, and check_relevance.

python server.py

Connect an MCP client

Run the included reference client to verify tool connectivity, or configure Claude Desktop to point at the running server process.

python mcp-client.py

Configure Claude Desktop (optional)

To use the server from Claude Desktop, add a mcpServers entry pointing to the Python server script.

Model Context Protocol Server Examples

Client configuration

Configure Claude Desktop to launch the Agentic RAG MCP server as a subprocess.

{
  "mcpServers": {
    "agentic-rag": {
      "command": "python",
      "args": ["/absolute/path/to/Agentic-RAG-with-MCP-Server/server.py"],
      "env": {
        "OPENAI_MODEL_NAME": "gpt-4o"
      }
    }
  }
}

Prompts to try

Example prompts that exercise the server's RAG enhancement tools.

- "Extract the key entities from this query: 'What are the side effects of ibuprofen in elderly patients?'"
- "Refine my search query 'python async' to be more specific for retrieving documentation."
- "Check if this text chunk is relevant to the user question about climate change impact on agriculture."

Troubleshooting Model Context Protocol Server

Server fails to start with 'ModuleNotFoundError: No module named mcp'

Run `pip install -r requirements.txt` inside the project directory to install the mcp library and other dependencies.

OpenAI API calls fail with authentication errors

Ensure your .env file contains a valid OPENAI_MODEL_NAME and that your OPENAI_API_KEY environment variable is set, either in .env or in your shell.

Claude Desktop cannot find the server

Use the absolute path to server.py in the Claude Desktop config and confirm the Python binary path matches your virtual environment if one is active.

Frequently Asked Questions about Model Context Protocol Server

What is Model Context Protocol Server?

Model Context Protocol Server is a Model Context Protocol (MCP) server that provides a standardized protocol for tool invocation, enabling an ai system to search the web, retrieve information, and provide relevant answers through integration with langchain, rag, and ollama. It connects AI assistants to external tools and data sources through a standardized interface.

How do I install Model Context Protocol Server?

Follow the installation instructions on the Model Context Protocol Server GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.

Which AI clients work with Model Context Protocol Server?

Model Context Protocol Server works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.

Is Model Context Protocol Server free to use?

Yes, Model Context Protocol Server is open source and available under the MIT License license. You can use it freely in both personal and commercial projects.

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Set Up Model Context Protocol Server in Your Editor

Choose your AI client for step-by-step setup instructions.

🖥️

Claude Desktop

macOS & Windows app

⌨️

Claude Code

CLI & terminal

📝

Cursor

AI-first code editor

💻

VS Code

GitHub Copilot MCP

🏄

Windsurf

Codeium AI editor

🔌

Cline

VS Code extension

Quick Config Preview

{
  "mcpServers": {
    "model-context-protocol-server": {
      "command": "npx",
      "args": ["-y", "model-context-protocol-server"]
    }
  }
}

Add this to your claude_desktop_config.json or .cursor/mcp.json

Read the full setup guide →

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