Discover our curated collection of MCP servers for data science & ml. Browse 7565 servers and find the perfect MCPs for your needs.
Enables AI assistants to analyze codebases, calculate code quality metrics, and extract documentation via a Neo4j graph database.
Integrates Google's Gemini Pro model with the Model Context Protocol for use in applications like Claude Desktop.
Implements the Chain of Draft (CoD) reasoning approach within an MCP server, enabling efficient LLM reasoning.
Provides standardized access to social platform and onchain data, compliant with the Model Context Protocol.
Provides Model Control Protocol (MCP) servers for various services, starting with Bitte AI integrations.
Connects Claude to local LLMs running in LM Studio.
Provides read-only access to graphs within an Ontotext GraphDB repository, enabling LLMs to execute SPARQL queries.
Provides real-time web search capabilities to AI models via the Model Context Protocol (MCP).
Analyzes images using OpenRouter vision models, providing descriptions and enabling AI assistants to understand visual content.
Provides long-term memory capabilities for Large Language Models (LLMs) by implementing the Model Context Protocol (MCP).
Enables AI assistants to connect to data sources, transform data, and generate visualizations through natural language requests.
Enables LLMs to efficiently interact with JSON files by splitting, merging, finding, and validating data.
Provides a standardized interface for AI agents to interact with Commvault software.
Unifies SymPy, NumPy, and Matplotlib into a powerful server for advanced mathematical computations and visualizations.
Connects Google Analytics 4 data to Model Context Protocol clients like Claude Desktop, providing comprehensive analytics and reporting capabilities.
Enables Claude to comprehensively manage and enhance Scrivener writing projects, including file operations, metadata, content analysis, and advanced editing.
Standardizes how AI applications access tools and context by implementing the Model Context Protocol.
Transforms player biographies into personalized 3D environments using LLM-powered analysis and generative models.
Orchestrates sophisticated AI agents by integrating production-ready libraries for memory, observability, and reinforcement learning.
Aggressively compacts and recycles context for Claude Code, saving tokens by structuring web research, task outputs, and conversations into efficient snapshots.
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