Discover our curated collection of MCP servers for data science & ml. Browse 10046 servers and find the perfect MCPs for your needs.
Performs in-depth research on topics using local LLMs via Ollama, accessible as MCP tools.
Provides real-time cryptocurrency price data from the OKX exchange via the Model Context Protocol.
Serves as an MCP server for Apache Doris and VeloDB, enabling model context protocol interactions.
Fetches content from the internet using browser automation and multiple extraction methods.
Provides D3 visualization documentation, chart recommendations, and code generation through the MCP protocol.
Enables AI assistants to query clinical trial data from the ClinicalTrials.gov database.
Enables conversion between various geographic data formats, coordinate systems, and spatial references.
Enables large language models to access and utilize the WindPy financial data API.
Cryptographically signs and verifies AI agent tool schemas to prevent supply-chain attacks.
Provides a comprehensive Model Context Protocol (MCP) server for advanced graph analysis capabilities using NetworkX.
Generates code using Large Language Models to analyze Excel data.
Indexes and provides semantic search for local documents using a vector database and local language models.
Transforms Go source code into explorable graphs, enabling AI assistants to understand complex codebases through the Model Context Protocol.
Facilitates AI interaction with WordPress forms, entries, and submissions through a Model Context Protocol server.
Establishes a bi-directional protocol bridge between Claude 4.5 Sonnet and GLM-4.6, enabling real-time architectural consultation for system design and technical decision-making.
Integrates with Flightradar24's API to provide real-time and historical flight data for AI assistants and other clients.
Orchestrates multiple AI models in parallel to prevent hallucinations and improve accuracy through debate and error checking.
Provides persistent memory and self-improving capabilities for Claude Code and OpenAI Codex CLI through a Model Context Protocol (MCP) server.
Unifies AI coding tools under a local-first daemon, providing persistent sessions, contextual handoffs, and disciplined task management with robust agent orchestration.
Enables AI agents to interact with and manage physical hardware like cameras, sensors, and robots, facilitating automation for IoT fleets.
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