DataMaster_MCP

This is a Model Context Protocol (MCP) server that enables AI assistants and tools to interact directly with your Payload CMS instance.

This repository contains the source code for a confluence context server, it provides prompts that can be used as slash commands for clients like Zed Editor, in order to add page contents as context to the AI assistant.

A MCP Task Server

Integrate the Productboard API into agentic workflows via MCP

Transforms code repositories into LLM-friendly formats with smart scanning, context preservation, and metadata enhancement.

一个用于从TAPD平台拉取数据并提供质量分析报告的MCP Server项目

Provides programmatic access to Backlog features including projects, issues, users, files, and search via MCP clients.

A Model Context Protocol Server for Pica

Provides an MCP interface to manage Apple Reminders lists and items on macOS.

Provides a local MCP server that extracts and verifies factual claims from text using a multi-stage pipeline and structured outputs.

Provides web, news, and social media search with Grok-powered analyses, plus reliability, caching, and monitoring.

A Model Context Protocol (MCP) server that provides Trivy security scanning capabilities through a standardized interface.

Provides an MCP server that generates vector and raster images via EverArt models and stores outputs for web projects.

Provides IMDb data via an MCP server with movie/TV details, cast info, top lists, upcoming releases, and country-specific content.

Provides an MCP server to interact with Apache Airflow using natural language queries and actions.

Provides a local-first, portable execution context for AI agents with vision, sketch, milestones, tasks, notes, references, and presence.

Provides FFmpeg-based media processing through MCP clients, enabling metadata, conversion, compression, trimming, audio extraction, and subtitles.

Provides access to Argentina’s official legal database via MCP, enabling searches for case law, summaries, legislation, and doctrine.

Provides web search, content extraction, and document parsing capabilities for AI assistants with caching and secure transport.

Exposes Treza’s enclave, KYC, attestation, and signing features to MCP clients for easy automation and AI agent integration.