Data Science & ML MCP Servers
Discover our curated collection of MCP servers for data science & ml. Browse 5736servers and find the perfect MCPs for your needs.
Offensive AI
Orchestrates cybersecurity tasks and workflows using Model Context Protocol (MCP) and AI models like Claude.
OLS
Provides a reliable interface for AI assistants to access and query the EBI Ontology Lookup Service (OLS) for accurate ontological information.
ZeroZen
Provides a hyper-personal, always-on, open-source AI companion for enhanced productivity and integrated workflows.
OpenMetadata
Enables standardized interaction with OpenMetadata through the Model Context Protocol.
Balldontlie
Provides access to NBA, NFL, and MLB data, including players, teams, and game statistics via the Balldontlie API.
Skill
Empower LLMs to programmatically create, edit, and execute custom skills across MCP-compatible clients like Claude and Cursor.
SQLite
Enables database interaction and business intelligence through an SQLite-based Model Context Protocol server.
LinkedIn Profile Analyzer
Analyzes LinkedIn profiles by fetching, filtering, and managing post data, designed for integration with Claude AI.
FastGPT Dataset
Manages knowledge base searches by automating workflow orchestration and intent recognition.
Code Knowledge
Manages and queries knowledge about codebases using vector embeddings.
Gravitino
Provides Gravitino APIs through a FastMCP integration.
Matlab
Enables execution of MATLAB code from Large Language Models (LLMs) through a Model Context Protocol (MCP) server.
Zoekt
Integrates Zoekt's code search engine, providing comprehensive code retrieval capabilities for AI assistants.
Neural Architect
Facilitates structured thinking and analysis across multiple AI platforms through branch management.
EKS AI Inference Guidance
Implement a comprehensive, scalable machine learning inference architecture on Amazon EKS for deploying Large Language Models (LLMs) with agentic AI capabilities, including Retrieval Augmented Generation (RAG) and intelligent document processing.
Adk Rag
Implements a Retrieval-Augmented Generation (RAG) system leveraging Google's Agent Development Kit (ADK) and Qdrant vector database for enhanced LLM responses.
Zuplo
Facilitates the creation of Model Context Protocol (MCP) servers with a fetch API-based TypeScript SDK.
Mixpanel
Interfaces with the Mixpanel API to allow users to query event data, retention, and funnels from MCP clients.
Tempo
Enables AI assistants to query and analyze distributed tracing data from Grafana Tempo through the Model Context Protocol.
Semantic Scholar
Enables searching for research papers using the Semantic Scholar API within an MCP environment.
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