Data Science & ML MCP 服务器

File System

Intelligently scans directories and files, leveraging large language models to uncover deeper insights within your file system.

GLM Multimodal

Extends GLM-4.5V's capabilities to include multimodal interactions, offering advanced image processing, visual querying, and comprehensive file content extraction.

Express

Exposes Express.js application endpoints as structured tools for AI models and clients.

Flux

Enables language models to generate images using SiliconFlow FLUX models via a Python-based MCP server.

PayPal

Facilitates natural language querying of live PayPal data for Large Language Models through CData JDBC Drivers.

Arch

Enhances AI assistant capabilities with robust context management, accuracy enforcement, and safety protocols.

OpenAI Web Search

Enables AI models to perform real-time web searches using OpenAI's web search preview feature.

Facebook by CData

Enables querying live Facebook data from Large Language Models like Claude Desktop using natural language.

Zendesk by CData

Enables connecting to Zendesk data from Claude Desktop using CData JDBC Drivers via a read-only Model Context Protocol (MCP) server.

Oracle SCM

Connects Large Language Models (LLMs) to live Oracle SCM data, enabling natural language queries without SQL.

Memory

Provides AI clients the ability to remember information about users across conversations using vector search technology.

Jina AI Search

Connects AI assistants and applications to Jina AI's advanced search, reading, and knowledge retrieval capabilities via the Model Context Protocol.

NexDialogue

Provides a fast, AI-powered backend for e-commerce, enabling text-to-image, text-to-text search, and product filtering using advanced multimodal embeddings.

Context Provider

Ensures persistent context for AI models, simplifying interactions and preventing information loss across chat sessions.

Time

Provides real-time clock and timezone information for large language models.

GPT-5

Facilitate GPT-5 inference via the OpenAI Responses API through a Model Context Protocol server, offering customizable parameters and optional web search integration.

Multi-Agent Platform

Facilitates a modular, production-ready multi-agent system for advanced math, research, weather, and summarization tasks.

SAP Concur

Provides a read-only Model Context Protocol (MCP) interface to connect Large Language Models (LLMs) with SAP Concur data for natural language querying.

Memory

Provides a high-performance C++ server for real-time memory scanning and analysis of Windows processes, accessible via Model Context Protocol or HTTP.

SAP Ariba Source

Connects to SAP Ariba Source data, making it accessible to Large Language Models (LLMs) through the Model Context Protocol (MCP) using CData JDBC Drivers.