Data Science & ML MCP Servers
Discover our curated collection of MCP servers for data science & ml. Browse 1202 servers and find the perfect MCPs for your needs.
Valyu
Enables Large Language Models to search proprietary and web sources for information and submit feedback on transactions via the Valyu Network API.
Tracxn
Enables AI models to access Tracxn's database of companies, investors, transactions, and market intelligence via a Model Control Protocol (MCP) server implementation.
Git File Forensics
Provides detailed insights into file histories, changes, and patterns within Git repositories, focusing on individual file analysis.
Weather
Fetches weather data from multiple APIs, providing current conditions and forecasts for specified cities.
Local LLM Obsidian Knowledge Base
Provides a template repository for running a local language model with an included knowledge base.
Coingecko
Provides access to cryptocurrency data from the CoinGecko Pro API using Model Context Protocol (MCP) and OpenAI function calling.
Mock Data
Generates mock data for various application development and testing scenarios.
Stability AI
Integrates Stability AI's Stable Diffusion image manipulation functionalities into MCP clients like Claude, enabling image generation, editing, and upscaling.
Kafka Processor
Enables Large Language Models to interact with Kafka event streams using the Model Context Protocol.
Archive
Centralizes Model Context Protocol (MCP) servers to enhance AI capabilities.
Python Executor
Executes Python code and manages Python packages within a sandboxed environment.
Weather
Retrieves 5-day weather forecasts for locations in Canada using latitude and longitude coordinates.
JNews
Provides access to current trending news headlines and detailed content for use by Large Language Models.
Chainlit Demo
Facilitates testing Model Context Protocol (MCP) Servers using Chainlit.
Python Template
Provides a minimal template for creating Model Context Protocol (MCP) servers using the Python SDK.
Source Relation
Analyzes source code dependencies within a specified directory to identify file relationships.
Semantic Scholar
Provides comprehensive access to academic paper data, author information, and citation networks via the Semantic Scholar API.
Jupyter
Enables interaction with Jupyter notebooks running in a local JupyterLab environment using the Model Context Protocol (MCP).
Deep Web Research
Enhances web research capabilities for large language models through intelligent search queuing and content extraction.
MAS Developments
Enables private GPT deployments for MAS developments.
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