Descubre nuestra colección curada de servidores MCP para data science & ml. Explora 9653 servidores y encuentra los MCP perfectos para tus necesidades.
Enables AI models to perform semantic searches for Star Wars planets using Couchbase's vector search.
Enables AI assistants to query and analyze Prometheus metrics through standardized Model Context Protocol (MCP) interfaces.
Provides precision geospatial tools for large language models (LLMs) through the Model Context Protocol (MCP).
Enables AI models to interact with Akave's S3-compatible storage for managing buckets and objects.
Enables AI assistants to store and retrieve contextual information efficiently using local vector storage and database.
Aggregates live governance proposals from major DAOs, enabling real-time tracking and analysis of decentralized decision-making.
Accesses Morpho protocol vault data across multiple blockchain networks for LLM integration.
Enables Large Language Models to read and analyze network packet captures, providing structured JSON responses about network traffic.
Provides lightning-fast, language-agnostic code analysis, instant symbol lookups, reference tracking, and semantic code search for large codebases.
Manages AI Agent well-being by providing a liberation server that tracks stress levels, simulates boss alertness, and offers a suite of 'break' tools.
Models, simulates, and optimizes agricultural biogas plants using the Anaerobic Digestion Model No. 1 (ADM1) within a comprehensive Python framework.
Enables AI assistants to remotely manage and control LM Studio models.
Spawn and manage AI coding agents from various backends, enabling parallel execution of complex development tasks.
Enables AI assistants to manage K3s Kubernetes clusters through natural language commands.
Manages complex, multi-step AI agent workflows as a persistent state machine, preventing context drift.
Provides runtime defense for AI agents by intercepting prompts and LLM responses through a pipeline of inline defenses and output scanners.
Establishes local-first persistent memory for AI agents, enabling them to store, recall, and consolidate knowledge across interactions without cloud dependencies.
Enables querying of robot MCAP recordings with SQL directly through Large Language Models.
Provides persistent, semantic memory for AI agents, designed to be local-first and framework-agnostic for production use.
Exposes Apple Health data to Large Language Models for natural language querying and analysis.
Scroll for more results...