Discover our curated collection of MCP servers for data science & ml. Browse 6298servers and find the perfect MCPs for your needs.
Enables AI models to create and manipulate PowerPoint presentations through a comprehensive API.
Provides tools and resources for working with the tidymodels ecosystem in R.
Enables LLMs to analyze data, calculate statistics, and generate predictions from various sources.
Enables natural language querying of Couchbase Capella clusters using the Model Context Protocol.
Provides a standardized Model Control Protocol (MCP) interface for AI models to interact with StarRocks databases.
Exposes Mac system information via a local API for access by AI assistants.
Manages Qdrant vector database collections and performs semantic searches using various embedding services.
Provides real-time cryptocurrency price data, market analysis, and historical trends using the CoinCap API.
Generates asynchronous text responses using a distilgpt2 model, managed through a Redis queue and accelerated with GPU support, exposing an MCP-compliant API.
Connects large language model clients to ODBC data sources, enabling data analysis and insight generation.
Integrates ClickHouse databases with Large Language Models (LLMs) and other AI applications via the Model Context Protocol (MCP).
Enables AI agents to query data using Axiom Processing Language (APL) in Node.js environments.
Interfaces with the Perplexity AI API using the Model Context Protocol to provide advanced question answering capabilities.
Provides a simplified and configurable interface to the CoinGecko cryptocurrency data API via a Node.js Express server.
Generates images from text prompts using the Black Forest Lab's FLUX model.
Integrates FindMine's product styling AI with Large Language Models via the Model Context Protocol.
Connects a Retrieval-Augmented Generation (RAG) application to Open-WebUI via the Model Context Protocol (MCP).
Analyzes BirdNET-Pi and BirdWeather detections by cross-referencing them with eBird's database using natural language queries.
Provides read-only access to PostgreSQL databases for Large Language Models, enabling schema inspection and query execution.
Enables querying Large Language Models with context derived from local files.
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