发现我们为 data science & ml 精心策划的 MCP 服务器集合。浏览 7451 个服务器,找到满足您需求的完美 MCP。
Scrapes LinkedIn profile data asynchronously using the RapidAPI LinkedIn Profile Scraper API.
Facilitates data management and interaction with AI agents as a server for MonkDB.
Enables querying of live Elasticsearch data from Claude Desktop using CData JDBC Drivers through a read-only MCP interface.
Provides weather data from the Thai Meteorological Department as an MCP server.
Enables querying of live HDFS data from Large Language Models using natural language through a Model Context Protocol (MCP) interface.
Deploys a remote Model Context Protocol (MCP) server on Cloudflare Workers to facilitate document translation capabilities.
Provides an end-to-end pipeline for real estate market analysis and predictive modeling, encompassing data collection, transformation, visualization, and machine learning.
Provides persistent, intelligent memory capabilities for AI assistants, enabling personalized and context-aware interactions.
Retrieves real-time weather reports, forecasts, and satellite images from Taiwan's Central Weather Administration for agentic AI applications.
Facilitates secure and contextual access for AI models to external tools and data, demonstrated through an AI-powered resume scoring application.
Integrates Perplexity's Sonar API to equip AI assistants with real-time web and academic research capabilities.
Manages CSV files comprehensively through creation, editing, analysis, and transformation operations.
Extracts and analyzes medical reports using AI, providing health insights through chat and voice support.
Empowers autonomous AI agents with robust integrity enforcement and secure local SLM integration through a tool-aware framework.
Simplify codebase queries with a local, zero-config RAG solution, ensuring private and seamless searching.
Transforms ancient cultural sky observations into precise modern astronomical coordinates for archaeoastronomy research.
Bridges AI agents with Microsoft 365 services, enabling programmatic access to email, calendar, and document management via the Model Context Protocol.
Provides current date and time information to large language models (LLMs) via a simple MCP server.
Provides a local tool connector for AI agents to interact with the Sentinel Signal API for scoring, limits, usage, and feedback.
Generate interactive HTML dashboards from CSV and Excel files with zero configuration.
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