data science & ml向けの厳選されたMCPサーバーコレクションをご覧ください。6274個のサーバーを閲覧し、ニーズに最適なMCPを見つけましょう。
Searches PubMed via the Model Context Protocol (MCP).
Translates PowerPoint presentations using Amazon Bedrock models, preserving original formatting and structure.
Converts Compiled HTML Help (CHM) files to Markdown format, optimized for technical documentation and AI integration.
Offers a Model Context Protocol server designed for extracting YouTube video metadata and generating high-quality, multilingual transcriptions.
Transforms OpenAPI/Swagger specifications into Model Context Protocol (MCP) format, enabling AI assistants to interact with REST APIs through a standardized protocol.
Enables AI assistants to generate interactive charts and visualizations from data using the Model Context Protocol.
Implements the Model Context Protocol (MCP) in Go, facilitating seamless integration between LLM applications and external resources.
Provides a standardized interface for accessing cryptocurrency market data and exchange information from the CoinMarketCap API.
Automates code merging and application of edits using the Osmosis-Apply-1.7B model within an MCP server environment.
Connects AI assistants with official statistics from the U.S. Census Data API and other authorized sources.
Generates web scrapers for various websites by leveraging Cursor AI and Model Context Protocol (MCP).
Eases LLM integration with Dremio through a Model Context Protocol server.
Provides a unified reasoning tool offering a wide range of operations for systematic thinking and problem-solving across diverse challenges.
Connects LLMs to Databricks, enabling natural language interaction with SQL warehouses and job management.
Retrieves cryptocurrency listings and quotes from the CoinmarketCap API.
Enables real-time hot module reloading for Python applications, reactively triggering side effects gracefully without full restarts.
Enables seamless integration between MATLAB and MCP-compatible applications to execute code, manage variables, and handle data I/O.
Enables conversational exploration and analysis of RDF-based Knowledge Graphs through local files or SPARQL endpoints.
Equip Claude with advanced math capabilities including symbolic math, statistical analysis, and matrix operations.
Enables interaction with Databricks clusters, jobs, and notebooks via the Model Completion Protocol.
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