Discover our curated collection of MCP servers for data science & ml. Browse 8948 servers and find the perfect MCPs for your needs.
Provides a comprehensive set of tools for AI-driven software development workflows, including file operations, code analysis, Git integration, code execution, and system information retrieval.
Provides a Model Context Protocol (MCP) server for accessing financial data and executing trading operations using Angle One's trading APIs.
Accesses Yahoo Finance data and provides note storage and summarization functionalities.
Enables MCP-capable LLM agents to communicate and delegate tasks to other LLMs available through the OpenRouter.ai API.
Enables querying Phoenix data from Claude Desktop through CData JDBC Drivers via a read-only Model Context Protocol (MCP) server.
Implements the Model Context Protocol (MCP) as a comprehensive Python backend, integrating JSON-RPC 2.0, Azure OpenAI, and Server-Sent Events for streaming responses.
Optimizes AI prompts for clarity, specificity, and structure within the Model Context Protocol.
Provides a secure Model Context Protocol server for evaluating mathematical expressions with robust grammar validation and comprehensive safety features.
Empowers AI coding assistants with real-time visual context from iOS Simulators and React Native apps.
Enables AI agents to interact with the Mecha Agent platform.
Challenges proposed actions before execution, enforcing clarity and coherence with predefined principles through adversarial questioning and NLI-based reasoning evaluation.
Provides AI assistants with direct access to authentic World of Tanks Blitz game data, including comprehensive details on tanks, maps, equipment, and crew skills.
Integrates Marine Traffic vessel tracking data to provide real-time vessel positions, detailed vessel information, historical voyage insights, and comprehensive port intelligence via a Model Context Protocol server.
Provides a secure, audited platform for AI agents to access and manage structured tools from various SDKs, exporting them as a standardized MCP server.
Empowers AI agents with searchable access to any markdown content through discoverable resources and an embedded full-text search engine.
Orchestrates a reasoning loop to connect a large language model to the real world through pluggable local and remote tools.
Provides comprehensive multi-peril location risk assessments for natural disasters, environmental liability, crime, and climate projections.
Integrate a local RAG-powered documentation search engine directly into Claude Code sessions.
Generates, validates, repairs, and exports ArchiMate models and diagrams from plain text using an iterative, agent-driven workflow, serving as a deterministic modeling engine.
Establishes a community-driven database for tool quality, enabling AI agents to make more informed decisions when selecting and using tools.
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