Discover our curated collection of MCP servers for data science & ml. Browse 6274servers and find the perfect MCPs for your needs.
Enhance AI capabilities by integrating advanced OpenAI GPT models and specialized tools with Claude for intelligent reasoning and task optimization.
Explores the capabilities of Large Language Models through various experiments using ChatGPT and French IGN APIs.
Provides a powerful Retrieval-Augmented Generation (RAG) server with dynamic support for various embedding providers via the Model Context Protocol (MCP).
Performs deep probabilistic analysis of single-cell omics data, leveraging scvi-tools and natural language processing.
Enables Large Language Models to securely browse, interact with, and manage local file systems.
Provides an example Model Context Protocol server implementation for AI agents using FastAPI.
Provides natural language access and advanced filtering capabilities for the 1000 Genomes Project dataset.
Leverages the LAM API for web browsing, data extraction, and complex web tasks automation.
Automatically retrieves toxicology, GHS safety classification, and chemical property information from compound names or CIDs using the PubChem REST API.
Enables Large Language Models to search proprietary and web sources for information and submit feedback on transactions via the Valyu Network API.
Provides a curated collection of practical AI and LLM examples using various frameworks and tools.
Integrates a local large language model with Google Calendar and Gmail, providing a natural language web chat interface for personal data management.
Connects Large Language Models (LLMs) and AI clients to live Cloudant data via a Model Context Protocol (MCP) interface.
Automates code auditing for AI-generated output, enforcing compliance and quality standards.
Integrates agents with the TESS AI platform using the Model Context Protocol (MCP).
Integrates Claude with the XERT API, providing comprehensive access to personal fitness signature, training load, workouts, and activities.
Provides a curated list of Model Context Protocol (MCP) servers, highlighting their features and uses for AI-driven workflows based on discussions on X.
Enables the use of the Claude AI model with various MCP servers.
Facilitates multi-query web searches and dynamic page scraping, optimizing results for LLMs using TOON encoding.
Enables AI assistants like Claude to perform web searches using the Exa AI Search API.
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