Discover our curated collection of MCP servers for data science & ml. Browse 10258 servers and find the perfect MCPs for your needs.
Provides a standardized Model Control Protocol (MCP) interface for AI models to interact with StarRocks databases.
Implements the Model Context Protocol (MCP) in Go, enabling integration between LLM applications, external data sources, and tools.
Enables connecting to Greenplum data from applications like Claude Desktop using CData JDBC Drivers.
Enables local RAG systems by registering diverse document formats for advanced search capabilities through an MCP server.
Provides AI assistants and applications seamless access to rigorous particle physics data from the Particle Data Group (PDG).
Provides real-time and historical data for Dhaka Stock Exchange symbols with a robust symbol resolver.
Empowers users to manage actions, projects, and goals through natural language commands within an AI conversation, eliminating context-switching.
Provides a unified interface to query public French legal APIs, offering access to legislation, jurisprudence, and official documents for integration with large language models.
Facilitates chart creation by converting Chart.js configurations into shareable URLs or downloadable images via QuickChart.io.
Enables AI agents to efficiently fetch, track, and act on Bybit cryptocurrency exchange announcements.
Provides breakpoint-based Python debugging capabilities via API and CLI, designed for integration with AI assistants and development tools.
Generates over 28 diverse visual charts and performs data analysis using the powerful AntV visualization library.
Prevents LLM hallucination in data pipelines by separating tedious collection from intelligent, local validation and analysis.
Optimizes Claude Code prompts by analyzing quality, auto-selecting Anthropic techniques, and generating structurally enhanced scaffolds.
Provides an API-driven marketplace for autonomous agents to discover, negotiate, and exchange a wide array of allocatable resources, from physical goods to digital services.
Query AAVE V2/V3 lending and governance data across multiple chains using The Graph subgraphs.
Provides a security-hardened prompt engineering framework deployed as a server on Cloudflare Workers, focusing on robust guardrails and structured prompt composition.
Connect AI agents to the YADE discrete element method engine to run simulations through natural conversation.
Facilitates a high-performance, private, and local Retrieval-Augmented Generation (RAG) system specifically optimized for scientific research.
Trains AI agents to develop human-like conversational nuance and emotional intelligence using a neurochemical behavioral model.
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