data science & ml를 위한 엄선된 MCP 서버 컬렉션을 찾아보세요. 8922개의 서버를 탐색하고 필요에 맞는 완벽한 MCP를 찾아보세요.
Retrieves Rust crate documentation from docs.rs to provide LLMs with context for working with Rust code.
Searches PubMed via the Model Context Protocol (MCP).
Delivers curated positive and uplifting news stories using sentiment analysis.
Enables LLMs to interact with Databricks clusters, jobs, notebooks, and more via the Model Completion Protocol (MCP).
Connects LLMs to Databricks, enabling natural language interaction with SQL warehouses and job management.
Enables Large Language Models to interact with Ledger CLI for financial analysis and reporting.
Integrates Google search capabilities, enhanced by AI-powered deep research, into Model Context Protocol-enabled applications.
Fetches YouTube video transcripts for integration with Large Language Models via Model Context Protocol.
Enables Claude and other MCP-compatible AI assistants to perform comprehensive research by integrating web and academic search functionalities.
Implements the Model Context Protocol (MCP) in Go, facilitating seamless integration between LLM applications and external resources.
Facilitates seamless integration of VideoDB context with LLMs and AI agents by automating SDK version synchronization, documentation updates, and example generation.
Enables access to United States Patent and Trademark Office (USPTO) data through the Patent Public Search API and the Open Data Portal (ODP) API.
Automates code merging and application of edits using the Osmosis-Apply-1.7B model within an MCP server environment.
Enables AI agents to discover, access, and query high-quality business data products while enforcing data governance policies.
Integrates Slack data in real-time to power agentic AI assistants with conversational memory.
Transforms static ZIM archives into dynamic knowledge engines for large language models, enabling offline access and search of ZIM format knowledge bases.
Enables agentic AI applications to interact with IBM i systems through a robust Model Context Protocol (MCP) server.
Provides AI assistants with a persistent Julia execution environment to eliminate startup and compilation overhead for fast, stateful iterations.
Provides AI coding agents with long-term, persistent memory to prevent context loss and repeated mistakes across sessions.
Provides a dynamic server for AI agents to perform runtime analysis and advanced process manipulation.
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