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Genesys Cloud MCP Server provides a bridge between AI assistants and Genesys Cloud's Platform API, enabling access to contact center analytics and routing data. Developed by Lucas Woodward as a personal project, it offers tools for searching queues, querying conversation volumes, sampling conversations by queue, and analyzing voice call quality metrics. The implementation handles authentication through OAuth client credentials and supports both real API connections and a mocking mode for testing. Built with TypeScript and the Model Context Protocol SDK, this server is particularly valuable for creating conversational business intelligence tools that can analyze contact center performance without requiring direct API knowledge.

A Python MCP server for note management with RAG capabilities, enabling adding, searching, asking questions, summarizing, and deleting notes, using PostgreSQL and ChromaDB with Google Gemini for embeddings and generation.

Integrates Xiaomi MiMo's multimodal API to enable understanding of images, audio, and video through natural language prompts.

MCP server for Yelp integration, enabling AI agents to search for local businesses, read reviews, view photos, check hours, find deals, and discover trending spots.

A FastMCP server that provides AI assistants with access to Microsoft Entra (Azure AD) directory services. It enables LLMs to search for users, groups, and check memberships using the Microsoft Graph API.

Enables AI assistants to programmatically create and manage SysML diagrams in StarUML.

Enables AI agents to search, query, and retrieve metadata from Mesa, Arizona's open data portal (Socrata) using natural language or direct SoQL queries.

Evergine-based demo presented at DotNet2025 showcasing a 3D MCP Server with LLM-powered client integration

🚀 Build a PostgREST MCP server with OAuth2 authentication, supporting NEON and Supabase, for seamless API integration and deployment.

Enables AI assistants to manage Google Tasks (list, create, complete, delete tasks) through the Model Context Protocol.

An MCP server for Autodesk Navisworks that uses a hybrid architecture: a Python HTTP server implementing the MCP protocol and a C# Navisworks addin (MCPBridge.dll) that bridges to the running application. Provides 40+ tools for clash detection analysis, search sets, viewpoint management, and color override operations on BIM models.

Enables AI assistants to manage personal expenses by adding, querying, and summarizing expense data through a SQLite database and configurable categories.

MCP server that provides local, de-identified access to a demo EMR database using a private LLM for de-identification, ensuring raw patient data stays local.

This MCP server implementation provides a tool for checking the status of Airbyte connections. It integrates with the Airbyte API to list all connections in a workspace, check individual connection statuses, and retrieve stream information. The server uses FastMCP and includes token refresh functionality for maintaining API access. It's designed for use cases requiring real-time monitoring of data pipeline health and connection management in Airbyte-based ETL processes.

First MCP server in the Israeli podcast vertical. 7 read-only tools exposing live data on studios, podcasts, glossary, and the State of Israeli Podcasts 2026 industry report. Operated by Pody (Wikidata Q139719199).

A Python-based MCP (Model Context Protocol) server that enables weather alerts and conversational AI interactions, with Docker support for easy deployment.

Enables querying GitHub repositories for pull requests, commits, and comparisons to understand code changes.

Local-first LLM operating-system hub for BACH, Rinnsal, gardener, SQLite agent memory, MCP servers, skills, and multi-agent orchestration

An AI SRE copilot for Kubernetes that lets LLM agents inspect cluster health and, with explicit human confirmation, restart or scale deployments.

Provides access to the Genji API for searching and analyzing classical Japanese literature texts with advanced normalization features for historical Japanese text variations, including repeat marks expansion, kanji-kana unification, and historical kana handling.