Discover our curated collection of MCP servers for data science & ml. Browse 7327servers and find the perfect MCPs for your needs.
Enables AI models to explore, analyze, and interact with artworks and collections from the Rijksmuseum through natural language interactions.
Connects to a FHIR server to provide core Model Context Protocol functionality for interacting with FHIR resources.
Enables AI models to seamlessly search, list, and read files from Google Drive.
Provides cryptocurrency news from CryptoPanic.com to AI agents via a simple API.
Serves a knowledge base built using txtai for semantic search, knowledge graph querying, and AI-driven text processing.
Translates OpenAPI specifications into Model Context Protocol (MCP) tools for seamless AI agent API access.
Provides access to Federal Reserve Economic Data (FRED) financial datasets via the Model Context Protocol.
Provides a unified interface to numerical, logical, and symbolic solvers, leveraging MCP for problem-solving.
Automates optimization and analysis using Optuna APIs through the Model Context Protocol.
Enables Claude Code to consult powerful external AI models for deeper analysis on complex problems.
Orchestrates autonomous AI agents using Claude's native tools for advanced task decomposition, delegation, and meta-prompting in a Software 3.0 context.
Empowers AI assistants with programmatic access to Linux kernel tracing capabilities using bpftrace.
Enables natural language querying and manipulation of FHIR healthcare data through LLM-based agents.
Automate scientific research workflows by providing tools to search, fetch, analyze, and report on academic papers and datasets.
Automatically generate read-only APIs for datasets using SQL templates, leveraging DuckDB for performant and cost-efficient data exposure.
Automates WeChat Mini Program developer tooling through a FastMCP server, enabling programmatic control and inspection.
Provides a standardized interface for AI assistants and applications to interact programmatically with EnergyPlus building energy simulation models.
Replicates a phone agent for controlling Android devices by leveraging an AutoGLM-based MCP service.
Engage with a multi-backend AI chat application running diverse models locally on Apple Silicon macOS devices.
Provides human-like memory capabilities for AI agents, encompassing semantic, episodic, and procedural knowledge that evolves from experience.
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