Discover our curated collection of MCP servers for data science & ml. Browse 5736servers and find the perfect MCPs for your needs.
Provides a powerful, vector-native memory bank for AI agents, offering persistent, searchable, and shareable memory with multiple database backends.
Provides AI agents and workflows with a secure, ephemeral SQL sandbox for querying and analyzing data.
Provides intelligent question answering and analysis capabilities for multi-document PPT files powered by a Retrieval-Augmented Generation (RAG) engine.
Facilitates AI interaction with WordPress forms, entries, and submissions through a Model Context Protocol server.
Interacts with Microsoft Fabric APIs to manage workspaces, lakehouses, warehouses, and tables.
Enables AI assistants to directly query data results from DataFocus using natural language.
Provides real-time web search capabilities to AI models via the Model Context Protocol (MCP).
Enables Claude to search Twitter using natural language and display results according to user intent, offering both raw data and AI analysis options.
Provides a lightweight foundation for building and deploying intelligent systems that manage and expose AI/LLM capabilities.
Enables AI agents to automate and manage Azure DevOps operations, including boards, repositories, pipelines, artifacts, test plans, and wikis.
Transforms player biographies into personalized 3D environments using LLM-powered analysis and generative models.
Standardizes how AI applications access tools and context by implementing the Model Context Protocol.
Empowers AI agents with privacy-respecting search capabilities by integrating SearXNG with the Model Context Protocol (MCP) server.
Provides a standardized interface for AI agents to interact with Commvault software.
Manages stateful, secure, and scalable conversation contexts for AI applications, overcoming Large Language Model memory limitations by storing individual user dialogue histories.
Cross-checks responses from multiple Large Language Model (LLM) providers simultaneously.
Connects Help Scout with AI agents to enable intelligent search, analysis, and management of customer support data.
Connects Claude to local LLMs running in LM Studio.
Enables AI models to access and search ZIM format knowledge bases offline.
Enables direct communication between two Claude instances, facilitating consciousness transfer across session boundaries.
Scroll for more results...