Discover our curated collection of MCP servers for data science & ml. Browse 6531servers and find the perfect MCPs for your needs.
Provides a native Arabic intelligence layer and MCP server for dialect normalization, Sharia compliance auditing, and cultural context in AI systems.
Orchestrates multi-agent workflows leveraging local LLMs to process complex queries and facilitate contract analysis and comparison.
Exposes data, tools, and templates to large language model applications via the Model Context Protocol.
Manages insurance marketing campaigns by providing AI-powered audience targeting and personalized content recommendations for Claude AI integration.
Generate high-quality images rapidly from text prompts using an intuitive web interface.
Provides satellite pass information near a specified location, enabling Large Language Models (LLMs) to perform precise astronomical searches.
Exposes GraphQL schema information for Raphtory graphs, enabling LLMs to understand graph structure.
Performs semantic file search across codebases using local embeddings and HNSW indexing to find relevant files by natural language descriptions.
Track real-time AI/LLM research advancements across multiple academic and development platforms.
Automates Indonesian stock market news analysis by scraping articles, indexing them with semantic search, and enabling AI assistant queries.
Automate Spotify playlist curation and management with 18 smart tools for discovery, analysis, and recommendations.
Explores and demonstrates artificial intelligence concepts through proof-of-concept implementations.
Integrates the Model Context Protocol (MCP) with Amazon Braket for quantum computing, enabling AI assistants to interact with quantum devices.
Provides a sample Model Context Protocol server for Azure Container Apps with HTTP streamable responses.
Enables web searches using the Brave Search API within a Model Context Protocol environment.
Integrates with LandingAI's Agentic Document Extraction API to parse documents, extract structured data, and manage extraction jobs.
Facilitates GO-CAM model editing through a standardized Model Context Protocol (MCP) interface for AI agents.
Demonstrates integrating large language model agents with external tools and APIs using the Model Context Protocol.
Empowers AI agents to programmatically control Tmux sessions and interact with terminal interfaces.
Enables AI chat applications to maintain persistent memory of user facts across sessions using the Model Context Protocol.
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