drio
Open app

Analytical MCP Server

Source

Analytical MCP Server: Enhancing AI with Structured Problem-Solving Tools

Catalog onlyCatalog onlySTDIO

Overview

Analytical MCP Server is a specialized Model Context Protocol (MCP) server that enhances AI capabilities with structured problem-solving tools, focusing on advanced analytical and natural language processing functionalities.

To use the Analytical MCP Server, clone the repository, install the necessary dependencies, set up your environment variables with the required API keys, and run the desired analytical or NLP tools using specific parameters.

  • Advanced analytical tools for dataset, decision, correlation, regression, time series analysis, and hypothesis testing. - Enhanced natural language processing capabilities including fact extraction, named entity recognition, sentiment analysis, and more.
  1. Analyzing datasets for insights and trends.
  2. Verifying research claims with reliable sources.
  3. Extracting entities and relationships from text for better understanding.

Add to your AI client

Use these steps to connect Analytical MCP Server in Cursor, Claude, VS Code, and other MCP-compatible apps. The same JSON appears in the Use with menu above for one-click copy.

Cursor

Add this to your .cursor/mcp.json file in your project root, then restart Cursor.

.cursor/mcp.json

{
  "mcpServers": {
    "analytical-mcp-quanticsoul4772": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-analytical-mcp-quanticsoul4772"
      ]
    }
  }
}

Claude Desktop

Add this server entry to the mcpServers object in your Claude Desktop config, then restart the app.

~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or %APPDATA%\Claude\claude_desktop_config.json (Windows)

{
  "mcpServers": {
    "analytical-mcp-quanticsoul4772": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-analytical-mcp-quanticsoul4772"
      ]
    }
  }
}

Claude Code

Add this to your project's .mcp.json file. Claude Code will detect it automatically.

.mcp.json (project root)

{
  "mcpServers": {
    "analytical-mcp-quanticsoul4772": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-analytical-mcp-quanticsoul4772"
      ]
    }
  }
}

VS Code (Copilot)

Add this to your .vscode/mcp.json file. Requires the GitHub Copilot extension with MCP support enabled.

.vscode/mcp.json

{
  "servers": {
    "analytical-mcp-quanticsoul4772": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-analytical-mcp-quanticsoul4772"
      ]
    }
  }
}

Windsurf

Add this to your Windsurf MCP config file, then restart Windsurf.

~/.codeium/windsurf/mcp_config.json

{
  "mcpServers": {
    "analytical-mcp-quanticsoul4772": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-analytical-mcp-quanticsoul4772"
      ]
    }
  }
}

Cline

Open Cline settings, navigate to MCP Servers, and add this server configuration.

Cline MCP Settings (via UI)

{
  "mcpServers": {
    "analytical-mcp-quanticsoul4772": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-analytical-mcp-quanticsoul4772"
      ]
    }
  }
}

FAQ

What technologies does the Analytical MCP Server use?

It uses TypeScript, Model Context Protocol SDK, Exa API for research and NLP, and various NLP libraries.

Is there a demo available for the NLP capabilities?

Yes! You can run the included NLP demo to see the advanced capabilities in action.

How do I contribute to the project?

You can fork the repository, create a feature branch, commit your changes, push to the branch, and create a Pull Request.7:["$","div",null,{"className":"container mx-auto flex flex-col gap-4","children":["$L26","$L27",["$","$L28",null,{"currentProject":{"id":1856,"uuid":"f92b8bf6-675d-420e-a11b-13cf131c7a6b","name":"analytical-mcp","title":"Analytical MCP Server","description":"Analytical MCP Server: Enhancing AI with Structured Problem-Solving Tools","avatar_url":"https://avatars.githubusercontent.com/u/71096528?v=4","created_at":"2025-03-05T05:41:40.329Z","updated_at":"2025-03-12T10:21:22.019Z","status":"created","author_name":"quanticsoul4772","author_avatar_url":"https://avatars.githubusercontent.com/u/71096528?v=4","tags":"mathgpt,math-solver,math-assistant","category":"research-and-data","is_featured":false,"sort":1,"url":"https://github.com/quanticsoul4772/analytical-mcp","target":"_self","content":"$29","summary":"$2a","img_url":null,"type":null,"metadata":"{\"star\":\"0\",\"license\":\"MIT license\",\"language\":\"TypeScript\",\"is_official\":false,\"latest_commit_time\":\"2025-03-02 16:59:29\"}","user_uuid":null,"tools":null,"sse_url":null,"sse_provider":null,"sse_params":null,"is_official":false,"server_command":null,"server_params":null,"server_config":null,"allow_call":false,"is_innovation":false,"is_dxt":false,"dxt_manifest":null,"dxt_file_url":null,"is_audit":false},"randomProjects":[],"currentServerKey":"$undefined"}]]}]

Research and data