Discover our curated collection of MCP servers for data science & ml. Browse 5016servers and find the perfect MCPs for your needs.
Demonstrates secure format-preserving encryption (FF3 FPE) and multi-mode authentication for sensitive data within LLM interactions.
Verifies email addresses using the AtData SafeToSend API to filter out invalid and high-risk emails.
Provides comprehensive quantum computing capabilities by integrating with Amazon Braket services.
Provides natural language processing capabilities using the Model Context Protocol within a FastMCP application.
Executes transactions across multiple blockchains, facilitating seamless interaction and management of tokens.
Enables Large Language Models to securely browse, interact with, and manage local file systems.
Makes project documentation accessible to AI assistants for enhanced contextual understanding.
Creates a local, privacy-focused LLM agent using Ollama and Gradio, with the Model Context Protocol (MCP) for secure tool calling.
Serves as an interactive AI teaching assistant, simplifying complex artificial intelligence concepts for workshop participants and learners.
Provides a robust Model Context Protocol (MCP) server for managing model contexts, powered by FastAPI and CockroachDB.
Provides a production-ready server to expose BigBugAI's token analysis and trending data tools via stdio and HTTP/SSE transports.
Provides tools for interacting with the NOAA Tides and Currents API using the FastMCP framework.
Provides weather alerts and forecasts from the National Weather Service API for seamless integration with AI models.
Assess image quality through a server providing various analysis tools.
Demonstrates integrating large language model agents with external tools and APIs using the Model Context Protocol.
Automates interactions with the MS Paint application for large language models, enabling them to control and input text into the app via agentic workflows.
Enables large language models to interact with Databricks clusters, jobs, notebooks, and SQL functionalities through the Model Completion Protocol.
Manages MySQL database operations, health monitoring, and AI-assisted insights through the Model Context Protocol.
Enables the creation of MCP-compatible clients and servers in Go for AI model and application communication.
Provides a comprehensive reference implementation of the Model Context Protocol, showcasing all its features for secure, controlled access to tools and data sources for Large Language Models.
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