Discover our curated collection of MCP servers for data science & ml. Browse 4984servers and find the perfect MCPs for your needs.
Translates PowerPoint presentations using Amazon Bedrock models, preserving original formatting and structure.
Enables Large Language Models to interact with cheminformatics functionalities, performing tasks like compound identification, structure conversion, and property calculation.
Enables interaction with MSSQL databases, facilitating SQL query execution and business intelligence tasks.
Enables seamless integration between LLM applications and RAG data sources and tools through the Model Context Protocol.
Provides a standardized interface for accessing cryptocurrency market data and exchange information from the CoinMarketCap API.
Generates web scrapers for various websites by leveraging Cursor AI and Model Context Protocol (MCP).
Enables AI models like Claude to directly control Strudel.cc for AI-assisted music generation and live coding.
Enables AI assistants to execute SQL queries against AWS Athena databases and retrieve results.
Enables building Model Context Protocol (MCP) clients and servers in Go.
Connects to various AI providers like OpenAI, MistralAI, and Anthropic using the MCP protocol, allowing interaction via tools or predefined prompts.
Retrieves information from the Pinecone Assistant service.
Enables AI assistants to generate images, text, and audio through the Pollinations APIs using the Model Context Protocol.
Provides real-time cryptocurrency analysis via CoinCap's API, enabling analysis of market trends and tracking of historical data.
Monitors and analyzes potential security risks during the loading and execution of machine learning and artificial intelligence model files.
Provides detailed information about AI language models to help developers choose the right one for their needs.
Provides real-time access to financial market data via WebSocket for streaming price quotes, market metrics, and events.
Analyzes cryptocurrency sentiment from social media and news data for AI agent consumption.
Provides intelligent text summarization capabilities to manage context window size for AI agents by summarizing outputs from various actions.
Processes audio files through OpenAI's transcription and speech services via the Model Context Protocol.
Executes Python code generated by LLMs in a secure, locally-hosted environment, leveraging Hugging Face's LocalPythonExecutor and MCP for LLM application integration.
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