Kie AI MCP Bridge

An MCP server from Zapier that connects authenticated applications so compatible AI tools can access and use them through a single integration layer. It supports clients including Cursor, Claude Code, and Codex.

Desktop Commander MCP is an open-source Model Context Protocol server that lets AI assistants search, read, write, move, and edit files; run terminal commands and code; and manage interactive or long-running processes. It is built on the MCP Filesystem Server and adds search-and-replace editing, streamed command output, session management, process controls, configurable timeouts, and background execution. It also supports file previews and Markdown editing, data analysis for CSV, JSON, and Excel files, and native operations on Excel, PDF, and DOCX documents. The repository documents use with Claude Desktop and other MCP clients, as well as remote AI control through ChatGPT, Claude web, and other AI services. Its associated Desktop Commander App adds a graphical interface, live file-change previews, arbitrary model support, and custom MCP configuration.

Model Context Protocol (MCP) is an open, standardized protocol layer for connecting large language models and AI agents with external data sources, hosted infrastructure tools, and other contextual data. It defines formats, metadata, protocol schemas, and APIs for sharing information and tools, attaching, referencing, and validating context such as documents, embeddings, and provenance, while supporting scoped authentication and permissions. MCP translates JSON requests from an agent into calls to service APIs, including CRM, container-management, and GKE capabilities, and can provide design-system context and related tools for generating consistent applications. The official project publishes its specification, documentation, and protocol schema; the schema is defined first in TypeScript and also provided as JSON Schema for broader compatibility. The protocol was created by David Soria Parra and Justin Spahr-Summers, is hosted at modelcontextprotocol.io, and is licensed under the MIT License.

Awesome MCP Servers is a curated collection of Model Context Protocol (MCP) server implementations, maintained as a GitHub repository with a synchronized web directory. It catalogs production-ready and experimental servers that let AI models interact with local and remote resources through standardized interfaces, including file access, databases, API integrations, browser automation, cloud platforms, research services, and other contextual tools. The repository organizes entries by capability, programming language, deployment scope, operating system, and whether an implementation is official.