Data Science & ML MCP Servers
Discover our curated collection of MCP servers for data science & ml. Browse 4137servers and find the perfect MCPs for your needs.
DeepSeek
Provides various tools categorized for model control plane server functionality.
Databricks
Provides a FastAPI server to manage local files and orchestrate Databricks operations, including code submission, job management, and DLT pipeline creation.
Cloud Video Intelligence API
Provides a Multi-Agent Conversation Protocol (MCP) server for interacting with the Google Cloud Video Intelligence API.
Multi-Search
Provides a unified Model Context Protocol (MCP) interface for multi-provider web search, maximizing available search capacity for automation and AI workflows.
Izzan Zahrial
Facilitates the creation of Model Context Protocol (MCP) servers and clients using Python.
Zotero
Integrates with Zotero, enabling AI applications to access and manipulate Zotero libraries.
SmartCity
Provides real-time data about traffic, bike-sharing, air quality, and weather in Valencia, Spain.
Databricks AI Interface
Enables AI assistants to securely interact with Databricks workspaces by hosting Model Context Protocol prompts and tools on Databricks Apps.
Remote Server
Enables the deployment of a Model Context Protocol (MCP) server on Cloudflare Workers without requiring authentication.
Perplexity Pro
Integrates with the Perplexity API to offer intelligent model selection, stateful conversation management, and project-aware storage via an MCP server.
Calista Research LLMs
Enables on-device and cloud language models to collaborate, reducing cloud costs while maintaining quality by reading long contexts locally.
Petstore
Provides a comprehensive Model Context Protocol implementation for the Swagger Petstore API, including both server and client systems for seamless agent integration.
AI Stock Market Agent
Provides real-time stock market data and financial insights through natural language queries.
Weather Server
Provides real-time weather information and summaries through a mock API, exposed as both REST endpoints and Model Context Protocol (MCP) tools.
Snowflake
Enables LLM agents to securely connect to and query Snowflake databases, acting as a bridge for seamless SQL execution.
Python
Enables large language models to interact with Python environments for code execution, file operations, and development workflows.
Project Concord
Transforms legacy database schemas into an AI-ready asset by mediating between modern AI agents and cryptic legacy data.
HDX Humanitarian Data
Connects AI assistants to the Humanitarian Data Exchange (HDX) API, providing access to critical global humanitarian data.
Slack
Provides read-only access to Slack data for Large Language Models via a secure Model Context Protocol server.
Data4Library
Provides a comprehensive Model Context Protocol server for accessing the Korean National Library API, offering over 25 specialized tools for book and library search, popular trends, and GPS-based nearby library discovery.
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