发现我们为 data science & ml 精心策划的 MCP 服务器集合。浏览 7263 个服务器,找到满足您需求的完美 MCP。
Provides a Model Context Protocol (MCP) server to interact with a VikingDB instance for storing and searching information.
Retrieves data from the National Park Service API, allowing users to fetch park lists and detailed information.
Enables interaction with Jupyter notebooks running in a local JupyterLab environment using the Model Context Protocol (MCP).
Facilitates interaction with Alibaba Cloud's Lindorm multi-model NoSQL database through a suite of tools for data retrieval and management.
Connects SAP SuccessFactors data to LLMs like Claude Desktop via a read-only Model Context Protocol (MCP) server.
Exposes Indian stock market data through a local Model Context Protocol (MCP) server.
Empower AI chatbots with sophisticated long-term memory, comprehensive Notion workspace integration, and standardized tool communication via Model Context Protocol.
Transforms natural language questions into SQL queries utilizing AI-powered multi-agent systems.
Fetches gene and protein metadata from the NCBI Entrez API, functioning as both a command-line tool and an MCP server.
Manages and optimizes NVIDIA Jetson Nano systems for AI workloads, edge computing, and system administration via SSH.
Deploys an agentic AI architecture on AWS Fargate for Amazon ECS, enabling an AI service to interact with multiple Model Context Protocol servers to perform various actions.
Query your Tesla vehicle data using natural language through the Tessie API.
Provides powerful mathematical formula visualization and analysis capabilities for Large Language Models (LLMs).
Integrates geographic data and services from the Géoplateforme to provide spatial context for Large Language Models (LLMs).
Transforms natural language queries into Cypher to retrieve information from a knowledge graph and provide contextual answers.
Integrates Claude AI with Power BI Desktop, enabling AI-driven querying and analysis of Power BI models.
Builds self-contained, searchable documentation servers with hybrid vector and keyword search capabilities.
Enables AI models to access and query jOOQ documentation, including SQL examples and best practices.
Exposes Large Language Models as a 9P filesystem, enabling interaction through standard file operations.
Enables large language models to dynamically discover, plan, and execute multi-step API workflows using OpenAPI specifications.
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