Discover our curated collection of MCP servers for data science & ml. Browse 4984servers and find the perfect MCPs for your needs.
Enhances language models with specialized prompts fetched from the L1B3RT4S repository to potentially bypass limitations.
Enables AI assistants to search for book and author information from the Internet Archive's Open Library.
Eases LLM integration with Dremio through a Model Context Protocol server.
Enables Claude to execute SQL queries and interact with Snowflake databases.
Enables language models to perform symbolic mathematics and computer algebra through tool-calling.
Integrates Google search capabilities, enhanced by AI-powered deep research, into Model Context Protocol-enabled applications.
Provides a lightweight and secure Python code execution sandbox based on IPython and Docker, designed for AI agents.
Integrates Naver Search and DataLab APIs for comprehensive searching and trend analysis across Naver services.
Facilitates database interactions with ArangoDB through a Model Context Protocol (MCP) server.
Retrieves real-time and historical Crypto Fear & Greed Index data from Alternative.me.
Provides advanced image analysis capabilities like captioning, visual question answering, and object detection via the Model Context Protocol (MCP).
Retrieves cryptocurrency listings and quotes from the CoinmarketCap API.
Enables AI assistants to interact with and manipulate Google Sheets and Google Drive files.
Provides real-time Language Server Protocol (LSP) diagnostics, type information, and code navigation to AI coding agents within VSCode environments.
Connects LLMs to Databricks, enabling natural language interaction with SQL warehouses and job management.
Searches PubMed via the Model Context Protocol (MCP).
Processes Excel files by providing microservice functionalities for reading, writing, and analyzing data.
Facilitates seamless integration of VideoDB context with LLMs and AI agents by automating SDK version synchronization, documentation updates, and example generation.
Provides a generic, modular server framework for implementing and interacting with models through the Model Control Protocol (MCP).
Scales software development using controllable, recursive agent flows driven by OpenAI's Codex to build features from the ground up.
Scroll for more results...