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 icon

DeepSeek

Provides various tools categorized for model control plane server functionality.

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Databricks

Provides a FastAPI server to manage local files and orchestrate Databricks operations, including code submission, job management, and DLT pipeline creation.

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Cloud Video Intelligence API

Provides a Multi-Agent Conversation Protocol (MCP) server for interacting with the Google Cloud Video Intelligence API.

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Multi-Search

Provides a unified Model Context Protocol (MCP) interface for multi-provider web search, maximizing available search capacity for automation and AI workflows.

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Izzan Zahrial

Facilitates the creation of Model Context Protocol (MCP) servers and clients using Python.

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Zotero

Integrates with Zotero, enabling AI applications to access and manipulate Zotero libraries.

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SmartCity

Provides real-time data about traffic, bike-sharing, air quality, and weather in Valencia, Spain.

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Databricks AI Interface

Enables AI assistants to securely interact with Databricks workspaces by hosting Model Context Protocol prompts and tools on Databricks Apps.

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Remote Server

Enables the deployment of a Model Context Protocol (MCP) server on Cloudflare Workers without requiring authentication.

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Perplexity Pro

Integrates with the Perplexity API to offer intelligent model selection, stateful conversation management, and project-aware storage via an MCP server.

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Calista Research LLMs

Enables on-device and cloud language models to collaborate, reducing cloud costs while maintaining quality by reading long contexts locally.

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Petstore

Provides a comprehensive Model Context Protocol implementation for the Swagger Petstore API, including both server and client systems for seamless agent integration.

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AI Stock Market Agent

Provides real-time stock market data and financial insights through natural language queries.

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Weather Server

Provides real-time weather information and summaries through a mock API, exposed as both REST endpoints and Model Context Protocol (MCP) tools.

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Snowflake

Enables LLM agents to securely connect to and query Snowflake databases, acting as a bridge for seamless SQL execution.

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Python

Enables large language models to interact with Python environments for code execution, file operations, and development workflows.

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Project Concord

Transforms legacy database schemas into an AI-ready asset by mediating between modern AI agents and cryptic legacy data.

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HDX Humanitarian Data

Connects AI assistants to the Humanitarian Data Exchange (HDX) API, providing access to critical global humanitarian data.

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Slack

Provides read-only access to Slack data for Large Language Models via a secure Model Context Protocol server.

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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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