发现我们为 data science & ml 精心策划的 MCP 服务器集合。浏览 7327 个服务器,找到满足您需求的完美 MCP。
Retrieves and displays current asset price information for use by large language models.
Provides access to Ordnance Survey APIs through a standardized protocol.
Gives AI applications a persistent memory of user data and context, processed and stored locally for enhanced personalization and data privacy.
Exposes SFTP data as a read-only Model Context Protocol (MCP) server for querying with Large Language Models (LLMs).
Enables scalable mobile automation and development for AI agents and LLMs across iOS and Android devices.
Calculate stock valuations using a simplified Discounted Cash Flow (DCF) model with automated industry-specific WACC and flexible output options.
Integrates AI agents with the Cyber decentralized knowledge graph, enabling interactions, cyberlink creation, and IPFS content retrieval.
Provides a vector search system for document retrieval using MongoDB Atlas Vector Search and Voyage AI embeddings.
Converts over 29 file formats to clean Markdown, leveraging the Model Context Protocol for seamless integration with AI workflows.
Optimizes understanding of complex codebases by generating detailed call graphs, identifying critical elements, and providing semantic search capabilities.
Enables local development and secure testing of Google Apps Script for AI-powered Google Workspace automation without cloud deployment.
Build autonomous AI agents for local LLM inference, memory handling, and voice interaction, automating various tasks without relying on external APIs.
Provides a semantic layer for BigQuery datasets, enabling large language models to easily query and analyze structured data.
Connects AI assistants like Claude to Rocket Universe and UniData MultiValue databases using natural language queries.
Translates natural language questions into explainable, reproducible data insights with built-in quality checks and semantic layer integration.
Enables AI agents to utilize persistent, file-based memory through the Model Context Protocol.
Enables semantic search over local PDF, Excel, SQL, Markdown, and HTML files using a vector database and AI embeddings.
Provides a media execution control layer for AI agents, enabling image, video, and music generation with deterministic pricing and quality control.
Provides programmatic access to Japan's EDINET financial disclosure system for parsing XBRL filings and serving financial data.
Enables AI agents to interact with Nastran FEA models through pyNastran APIs.
Scroll for more results...