Data Science & ML MCP Servers
Discover our curated collection of MCP servers for data science & ml. Browse 4412servers and find the perfect MCPs for your needs.
AWorld
Provides a collection of API endpoints and examples for web scraping, deep research workflows, and service health monitoring.
Enhanced Postgres
Enables LLMs to read, write, and manage schemas in PostgreSQL databases.
Joe Sandbox
Provides a Model Context Protocol (MCP) server to integrate Joe Sandbox Cloud's advanced analysis capabilities with MCP-compatible applications.
Bybit API Interface
Provides a convenient interface for interacting with the Bybit cryptocurrency exchange API.
VSCode LSP
Enables AI assistants and external tools to leverage Visual Studio Code's Language Server Protocol (LSP) features for advanced code intelligence via the Model Context Protocol (MCP).
Fetch
Retrieves and extracts web content, converting HTML to markdown for easier consumption by LLMs.
Wikipedia
Enables language models to search and retrieve Wikipedia articles programmatically.
Valyu
Enables AI models to retrieve high-quality context from Valyu's API, including comprehensive search capabilities across Wikipedia, arXiv, and the web.
Rig
Demonstrates how to set up a Model Context Protocol (MCP) server and client using Server-Sent Events (SSE) for LLM prompting.
Nano Banana
Generates images using Google's Gemini API, integrating advanced image generation capabilities with various AI models via an MCP server.
AntrikshGPT
Explores space through an AI-powered web application that combines cutting-edge artificial intelligence with real-time cosmic data.
Vibe Workspace
Streamlines development workflows by providing consistent environments, tooling configurations, and coding patterns for modern AI Agentic coding across multiple repositories.
BaseHub
Provides a customizable framework for building and running modular tool servers.
DVMCP
Provides a deliberately vulnerable Model Context Protocol (MCP) server for security research and AI/ML security learning.
Long Term Memory
Provides long-term memory storage for LLMs, enabling them to retain context across multiple sessions by leveraging semantic search and embeddings.
ChatterBox
Enables AI agents to interact with online meetings and generate meeting summaries.
Cort
Improves AI reasoning by enabling it to recursively argue with itself through a Chain-of-Recursive-Thoughts process.
JSON Query
Enables AI agents to query and extract data from large JSON files.
Iceberg Catalog
Enables interaction with Apache Iceberg catalogs from Claude, facilitating data lake discovery and metadata search through natural language prompts.
Grok
Enables interaction with the Grok AI API for chat, completions, embeddings, and model operations.
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