Discover our curated collection of MCP servers for data science & ml. Browse 7261servers and find the perfect MCPs for your needs.
Enables AI agents to interact with multiple EVM-compatible networks via a unified interface.
Facilitates integration of healthcare tools and prompts with FHIR data on EMRs like Cerner and Epic.
Generates selfie-style images using a ComfyUI workflow based on a given text prompt.
Provides access to information about the Dominican Congress, including legislative agendas, legislator activity, and new bills.
Integrates Large Language Models with real-world APIs using the Model Context Protocol for standardized AI-API interactions.
Automates Google Calendar tasks, including scheduling meetings via prompts and inspecting metadata, to build extensible agent-based workflows.
Integrates the Sonar API to enable Claude and other AI agents to perform real-time, web-wide research.
Provides a Model Context Protocol server that integrates with Fal.ai's platform, offering access to over 600 AI models and workflows through various MCP clients.
Provides real-time and historical currency exchange rates, cryptocurrency rates, and an interactive chat interface for currency information.
Reasons, plans, and executes writing tasks as an AI agent.
Provides a Typescript sample implementation for an MCP server, demonstrating tool creation and AI completion request handling.
Enables large language models to fetch, analyze, and summarize academic research papers from multiple trusted sources in real-time.
Provides a cutting-edge Proof of Concept implementation of a Model Context Protocol (MCP) server using Python and modern technologies.
Orchestrates multiple HR data sources using Model Context Protocol (MCP) and Retrieval-Augmented Generation (RAG) to provide accurate, context-aware responses as an intelligent HR assistant.
Extracts tabular data from PDF files and converts it into CSV format.
Connects any OpenAI-compatible LLM API to the Model Context Protocol, enabling robust analysis and evaluation of large language model quality.
Enables AI-driven Python code generation and secure execution by integrating large language models with the Model Context Protocol for seamless tool utilization.
Provides advanced property-based fuzzing and testing capabilities for Model Context Protocol servers, enabling automated discovery of edge cases and bugs in Python functions.
Connects AI assistants like Claude to GoodData analytics for natural language querying and report generation.
Detects steganography in PNG and BMP images to uncover hidden data and provides an MCP server for AI-powered analysis.
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