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Provides AI assistants with read-only access to AWS CloudWatch Logs for production debugging and log analysis, enabling error searching and bug report generation.

This MCP server enables LLM agents to interact with IFC (Industry Foundation Classes) files, the standard format for Building Information Modeling (BIM) data in the construction industry. Built by Jia-Rui Lin from Tsinghua University's Department of Civil Engineering using Python with ifcopenshell and FastMCP, it provides tools for extracting entities by type, retrieving properties and locations, analyzing spatial relationships, finding openings on walls, and exploring space boundaries within building models. The implementation supports HTTP transport for web integration and includes utilities for geometric property extraction and spatial hierarchy traversal, making it valuable for construction professionals analyzing building data, AI assistants providing BIM consulting, and automated workflows requiring programmatic access to architectural and engineering information stored in IFC format.

MCP server for querying the EBI PRIDE Archive, a proteomics (mass-spectrometry) data repository, through natural language or direct tool calls.

MCP server for Polymarket prediction markets, enabling search, market details, pricing, and bet analysis through 6 tools, with optional authenticated trading via API key.

Integrates with Atlassian Confluence and Jira Cloud REST APIs to provide comprehensive workspace management through full CRUD operations on pages, issues, sprints, boards, and backlogs. Supports advanced features like JQL and CQL queries for searching, batch operations, epic management, time tracking, and hierarchical content management. Offers flexible deployment through NPM package or Docker container with multiple authentication methods including config files, environment variables, and CLI arguments.

Bridges OpenCode to Unreal Engine 5 editor via a local TCP connection, enabling interaction with the editor such as querying project structure, managing assets and actors, and generating code.

CutterMCP provides a bridge between the Cutter reverse engineering platform and MCP clients, enabling binary analysis capabilities through a REST API. The implementation uses FastMCP to expose Cutter's functionality including function listing, decompilation, segment analysis, and symbol management. Users can search for functions, rename them, add comments to decompiled code, and access imports and exports data. This server implementation is particularly valuable for reverse engineers who want to integrate Cutter's binary analysis capabilities into their AI-assisted workflows.

This MCP webhook server, developed by kevinwatt, enables AI agents to send messages to external webhook endpoints. Built with TypeScript and leveraging the Model Context Protocol SDK, it provides a simple interface for posting customizable messages. The implementation focuses on flexibility, allowing users to specify content, username, and avatar for each message. It's particularly useful for integrating AI-driven notifications into existing workflows, enabling use cases such as automated alerts, chat integrations, and system notifications without directly dealing with webhook API complexities. The server's design emphasizes ease of configuration and deployment, making it suitable for both development and production environments.

Production-ready MCP server framework for AWS Lambda and ECS Fargate, providing base classes and infrastructure for building MCP servers that implement JSON-RPC 2.0 with authentication, session management, and tool registration.

Middleware that uses Model Context Protocol and generative AI to automatically generate native Crestron Construct interfaces (.cuig/.cuib), enabling natural language creation of AV control UI components.

Read-only MCP bridge for searching and browsing RikkaHub app conversations through its Web API.

The DeepL MCP server provides AI assistants with direct access to DeepL's translation capabilities through a Node.js implementation. Developed by DeepL SE, this server exposes tools for translating text between numerous languages, rephrasing content with different writing styles and tones, and retrieving available language options. It leverages the Model Context Protocol SDK to establish a stdio-based communication channel, caches language lists for improved performance, and includes formality controls for supported languages. The implementation is particularly valuable for users who need high-quality translations or text rephrasing without switching contexts from their AI assistant conversation.

Enables YouTube content browsing, video searching, and metadata retrieval via the YouTube Data API v3. It also facilitates fetching video transcripts for summarization and analysis within MCP-compatible AI clients.

Enables AI agents to search and download 3D assets (models, materials, HDRs, brushes) from the BlenderKit library.

MCP server providing real-time traffic, bike-sharing, air quality and weather data from Valencia,

MCP server for creating vtimestamp proofs on the Verus blockchain

Clockify MCP Server integrates with the Clockify time tracking API, allowing AI assistants to manage time entries through natural language prompts. Developed by https-eduardo, this TypeScript implementation provides tools for creating billable time entries, retrieving workspace information, listing projects, and accessing user data. The server handles authentication via Clockify API tokens and exposes four main tools that abstract the complexity of the Clockify API, making it particularly valuable for users who want to log their work hours without leaving their AI assistant interface. Future implementations will include deleting and editing time entries.

Lightweight MCP server for interacting with Amazon and Flipkart search and authentication components.

A native macOS Kanban harness for Claude Code, turning project boards into live AI agents that self-organize by conversation state.

🔌 Simplify PostgreSQL interactions with a secure MCP server for LLMs, enabling efficient access to schemas, tables, and query execution.