Data Science & ML Servidores MCP

Layer2

Enables AI models to interact with Ethereum Layer 2 networks for deploying tokens and managing transactions.

Container Manager

Streamline the management and optimization of container environments, offering efficient deployment and monitoring across various platforms.

LumiFAI Technical Analysis

Calculates technical analysis indicators, specifically Exponential Moving Averages (EMAs), for cryptocurrency trading data via an SSE transport layer.

C64 AI Controller

Enables AI agents and automation scripts to control and program a Commodore 64 via its REST API, specifically for Ultimate 64 hardware.

PostgreSQL

Automate PostgreSQL management, monitoring, security, diagnostics, and optimization through an AI-integrated server, offering 237+ specialized tools for AI assistants like Claude and ChatGPT.

Hot Topic

Fetches trending topics from various online platforms using the Model Context Protocol (MCP).

McpServer

Provides an Elixir DSL for defining Model Context Protocol (MCP) tools, prompts, and routers.

Viper

Provides a mixture-of-experts visual question-answering server, solving complex visual grounding and image question-answering tasks.

EnrichB2B

Facilitates interaction with OpenAI, Anthropic, and EnrichB2B services using the Model Context Protocol.

Zabbix

Analyzes and automates Zabbix events using AI-powered Model Context Protocol.

Deep Web Research

Enhances web research capabilities for large language models through intelligent search queuing and content extraction.

Customer Intelligence Hub

Analyzes customer data, creates targeted marketing campaigns, and provides actionable business insights using AI agents within a Customer Relationship Management system.

Crypto Data & Trading Connectors

Connects AI systems to real-time cryptocurrency data and trading platforms through standardized Model Context Protocol servers.

Django Firebase

Facilitates seamless interaction for AI agents with Firebase services through a standardized Model Context Protocol server.

Qdrant

Provides semantic memory capabilities using the Qdrant vector database with configurable embedding models for efficient vector search and retrieval.

Plan

Leverages Google Gemini AI to provide intelligent project planning and comprehensive code review capabilities via the Model Context Protocol.

Sample

Develops a chatbot application leveraging Aspire, Semantic Kernel, and Ollama for conversational AI and local LLM support.

Rag Based

Enables document question answering by ingesting and querying PDF documents using the GroundX API.

Databricks Integration Tester

Provides a custom Databricks server to test Model Context Protocol (MCP) integrations and On-Behalf-Of (OBO) authentication.

Crawl4AI

Establishes a connection and provides a standardized protocol for interacting with a Crawl4AI Docker API server.