Discover our curated collection of MCP servers for data science & ml. Browse 6274servers and find the perfect MCPs for your needs.
Integrates AI models like ChatGPT and Claude with real-time Indian stock market data for comprehensive financial analysis.
Integrates large language models with the AirNow API to provide comprehensive U.S. air quality data access.
Generates images using the Replicate Flux Schnell model via a simple HTTP API.
Exposes Databricks Unity Catalog metadata and data to AI agents in a deterministic, LLM-friendly format.
Translates text and GitHub issue comments between languages using OpenAI models, automating translation workflows via GitHub Actions.
Provides Mastra-based agents and workflows for generating weather insights and comprehensive payment analytics across Stripe, PayPal, and GA4.
Provides a command-line interface and MCP server to access Z.AI's advanced AI capabilities for agents and automation.
Connect AI chat assistants like Claude Desktop to the Zomato food ordering system, enabling exploration of restaurants, menu browsing, and food orders.
Builds natural language interfaces for database operations using NestJS, MongoDB, and OpenAI, demonstrating Model Context Protocol for conversational AI with RAG integration and automated task execution.
Provides an instant, lightweight MongoDB server compliant with the MCP specification for seamless integration with any AI agent.
Generates selfie-style images using a ComfyUI workflow based on a given text prompt.
Analyzes meeting transcripts using a multi-agent AI system for summarization, key point extraction, and task identification.
Facilitates the creation of Model Context Protocol (MCP) clients and servers in Python, enabling standardized context provision for Large Language Models (LLMs).
Exposes the Danmarks Statistik's Statistikbank API as programmable resources for easy integration with language models and AI applications.
Enables AI assistants to conduct natural language searches across structured databases and unstructured content like documents, videos, and files.
Automates the generation and management of comprehensive test cases from product requirements using AI.
Enables AI assistants like Claude to perform web searches using the Exa AI Search API.
Integrates R2R (Retrieval-Augmented Generation) capabilities with Claude Desktop environments to provide advanced search and RAG functionalities.
Provides a remote Model Context Protocol (MCP) server for accessing Jina AI Reader, Embeddings, and Reranker APIs alongside various web and data processing tools.
Tag and classify CSV data rows using large language models with parallel processing capabilities across multiple providers.
Scroll for more results...