Data Science & ML MCP 서버

Cv-Mcp-Tools

Demonstrates the integration of computer vision tools with language models using MCP.

MindMesh

Orchestrates a swarm of specialized Claude 3.7 Sonnet instances to generate optimally coherent responses through ensemble intelligence.

Wikipedia

Retrieves Wikipedia content for specified topics via an MCP server.

Plugged.in Random Number Generator

Provides cryptographically secure random number generation for AI applications, LLMs, and other systems requiring high-quality randomness.

YouTube Transcript

Retrieves YouTube video transcripts, enabling AI models to easily access and utilize subtitle data.

LangChain Prompts

Provides seamless access to the LangSmith prompt library, offering over 1000+ community-vetted AI prompts for integration into AI workflows.

URL Text Fetcher

Provides URL text fetching, web scraping, and web search capabilities for AI models via the Model Context Protocol.

Fusion360

Empowers large language models to execute 3D modeling operations in Fusion 360 through natural language commands.

ClaudeJupy

Execute Python code with persistent state and manage Jupyter notebooks directly within Claude AI conversations.

C64 AI Controller

Enables AI agents and automation scripts to control and program a Commodore 64 via its REST API, specifically for Ultimate 64 hardware.

Zen

Unifies AI development by enabling seamless workflows across multiple models through a single interface.

Index9

Provides real-time model intelligence to enhance AI assistant recommendations and selection.

OneNote

Integrates Microsoft OneNote with AI models, enabling structured access and manipulation of notebooks, sections, and pages.

Bullhorn

Enables AI assistants to query Bullhorn CRM data using natural language via the Model Context Protocol.

BCRP

Accesses over 5,000 macroeconomic indicators from the Banco Central de Reserva del Perú (BCRP) Statistical API for analysis and AI agent integration.

GitMem

Provides AI coding agents with persistent institutional memory, allowing them to learn from past experiences and improve across coding sessions.

ScraperAPI

Empowers AI agents to optimally utilize ScraperAPI's web scraping and data collection tools with intelligent parameter selection and cost management.

LxRAG

Provides a memory and code intelligence layer specifically designed for LLM agents.

Reddit Lurker

Provides comprehensive Reddit thread content, including full comment trees, optimized for Large Language Models with significant token reduction.

DevsContext

Synthesizes comprehensive engineering context from your team's existing tools like Jira, meeting transcripts, and documentation, specifically tailored for AI coding agents.