Discover our curated collection of MCP servers for data science & ml. Browse 6480servers and find the perfect MCPs for your needs.
Facilitates access to data from Data.gov, offering tools for interacting with government datasets.
Fetches financial data from Yahoo Finance for use within Claude Desktop.
Enhance large language models with protein structure analysis capabilities for biomedical research and development.
Provides an unofficial MCP server to interact with the official US Congress API for legislative data.
Enables AI IDEs and chat interfaces to interact with Kestra through a Python-based server and various Kestra-specific tools.
Provides cryptocurrency data, analytics, and insights through function calling, enabling AI assistants and agents to access real-time crypto market data.
Enhances LLM reasoning by transforming standard prompts into Chain-of-Draft or Chain-of-Thought formats, supporting various LLMs.
Provides web search capabilities through Baidu, with features for content fetching and parsing.
Provides access to the Exploit Database functionality, enabling users to query information about security exploits and vulnerabilities.
Integrates ModelScope's AI ecosystem with Model Context Protocol (MCP) clients, enabling seamless access to models, datasets, and generation capabilities.
Connects Large Language Models to The Guardian's extensive article archives.
Analyzes Java class files, decompiles them, scans Maven dependencies, and extracts method lists to enhance Large Language Models' code analysis capabilities.
Enables playing chess against an AI opponent powered by a language model.
Bridges various AI agent command-line interfaces with Sequa's native streamable HTTP Model Context Protocol endpoint.
Provides a Python package, command line interface, and MCP server to remotely control video players for MultiViewer For F1.
Fetches RSS feeds and shares them with Large Language Models using the Message Chain Protocol.
Simulate AI-driven venture capitalist agents, continuously enriched by real-time market data, for investment-related tasks.
Provides advanced chess analysis by implementing a Chess Context Protocol Server and integrating Stockfish, positional theme analysis, and opening databases.
Connect to Elasticsearch clusters directly from any Model Context Protocol (MCP) Client.
Transforms an organization's documentation into an AI-powered knowledge base, offering instant answers via chat interfaces and AI assistant integrations.
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