发现我们为 data science & ml 精心策划的 MCP 服务器集合。浏览 8988 个服务器,找到满足您需求的完美 MCP。
Enables Google News searches with automatic categorization and multi-language support via SerpAPI within Model Context Protocol environments.
Provides cryptocurrency technical analysis indicators and strategies for AI trading agents.
Provides specialized AI agents for investment research of public and private markets, accessible through a simple prompt interface.
Enhances Claude 3.5 Sonnet's responses by incorporating structured reasoning from DeepSeek R1 through the OpenRouter API.
Fetches stock data, news, and financial information from Yahoo Finance using an MCP server.
Enables LLMs to accurately interpret mathematical expressions in scientific papers by fetching and processing LaTeX source from arXiv.
Augments AI models with tools, resources, and prompts using Clojure.
Enhance Livebook development with AI code editing, model context protocol servers, and command-line execution of Livebooks.
Provides Rust bindings for the txtai API, enabling semantic search, LLM orchestration, and language model workflows within Rust applications.
Enables AI agents to explore Rust crate documentation, analyze source code, and confidently build Rust projects.
Indexes codebases locally as an MCP service, enabling semantic search and integration with AI development tools like Claude Code and Gemini CLI.
Discovers and evaluates candidate image-based biomarkers from gigapixel histopathology slides using an end-to-end, weakly-supervised deep-learning pipeline.
Translates natural-language prompts into precise Perfetto queries to analyze trace data without requiring manual SQL writing.
Empowers AI agents with instant, up-to-date access to official Apple developer documentation and video content via a RAG system.
Provides a full-featured stock data service supporting real-time A-share, Hong Kong, and US market quotes, fundamental analysis, AI-driven news sentiment analysis, and in-depth research.
Provides access to the Oura API, enabling language models to query sleep, readiness, and resilience data.
Serves as a powerful AI agent and IoT platform core, providing backend services for smart hardware and intelligent applications.
Analyzes large documents and codebases token-efficiently using symbolic reasoning and a logic engine, circumventing LLM context window limitations.
Provides human-like memory capabilities for AI agents, encompassing semantic, episodic, and procedural knowledge that evolves from experience.
Provides persistent, consensus-validated memory infrastructure for AI agents that integrates with any large language model.
Scroll for more results...