Discover our curated collection of MCP servers for data science & ml. Browse 6875servers and find the perfect MCPs for your needs.
Enables Large Language Models to search and reference Jewish texts through a standardized interface.
Enables AI assistants to perform powerful search queries against Solr indexes by combining keyword and vector search capabilities.
Provides real-time stock market data and options analysis for LLMs via the Model Context Protocol.
Enables AI assistants to search and access biology preprints from bioRxiv through a Model Context Protocol (MCP) interface.
Facilitates structured thinking and analysis across multiple AI platforms through branch management.
Retrieves user geolocation information and integrates it with large language models.
Provides web search capabilities through Baidu, with features for content fetching and parsing.
Enables execution of MATLAB code from Large Language Models (LLMs) through a Model Context Protocol (MCP) server.
Enables interaction with Yahoo Finance data, providing pricing and company information.
Query real-time AWS EC2 pricing data to find the cheapest instances based on CPU, RAM, and other specifications.
Enables AI agents to control Bitwig Studio through a Model Context Protocol (MCP) server.
Provides access to the Protein Data Bank (PDB) for information about 3D structures of proteins, nucleic acids, and complex assemblies.
Integrates the ChatGPT macOS application with the MCP ecosystem for seamless AI interactions.
Provides a standardized connection layer between artificial intelligence systems and diverse biomedical resources.
Enhances AI coding assistants by providing a persistent memory and cross-project intelligence layer within integrated development environments.
Enables AI assistants to access Stadia Maps APIs for comprehensive location services, geocoding, routing, and mapping capabilities.
Enables AI agents to interact seamlessly with Splunk environments through the Model Context Protocol (MCP).
Demonstrates how to build Model Context Protocol (MCP) servers with TypeScript, enabling large language models to interact with YouTube functionalities and custom prompts.
Provides an unofficial command-line interface and MCP server to efficiently manage Lambda cloud GPU instances.
Provides AI assistants with a persistent Julia execution environment to eliminate startup and compilation overhead for fast, stateful iterations.
Scroll for more results...