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Exposes a single tool via the OpenAI Model Context Protocol (MCP) using JSON-RPC 2.0 over HTTP.
Connects large language models to Bitbucket Cloud, enabling AI assistants to interact with repositories, pull requests, comments, tasks, and branches.
Enforces organizational policies on AI coding agents by validating their commands, file operations, and code changes in real-time.
Empowers LLM agents to integrate and utilize the Gemini CLI and other developer tools via a standardized JSON-RPC interface.
Provides a TypeScript template for building remote Model Context Protocol (MCP) servers with modern tooling and best practices.
Integrates with Blackduck Coverity to programmatically manage issues and retrieve diagnostic information.
Automatically analyzes and dispatches diverse tasks, including development and article writing, to appropriate handlers for efficient processing.
Integrates n8n workflow automation with AI agents by exposing an MCP server for managing and executing workflows.
Enables AI Copilot tools to securely interact with SSH and PostgreSQL resources through policy-driven access controls.
Implements a minimal FastMCP server providing basic document query tools.
Integrates the Source Parts API with Claude to enable searching and managing electronic components, PCB parts, and manufacturing services through the Model Context Protocol.
Monitors Git repositories to ensure clean commit history and nudges AI agents to maintain code hygiene during AI-first development.
Connects AI agents to LINE Official Accounts via the LINE Messaging API.
Extend AI coding assistants with a versatile suite of reproducible Model Context Protocol (MCP) servers for diverse automation and utility tasks.
Provides a production-ready and extensible template for building Model Context Protocol (MCP) async servers in Python.
Establishes a foundational server environment developed with Python.
Provides an API for managing Google Drive files and handling Google OAuth2 authentication.
Manage multiple Google Drive accounts with read-only access through a Model Context Protocol (MCP) server.
Facilitates security scanning of container images using Kubescape CLI and offers AI-powered insights for compliance.
Enables AI assistants to send personalized, actionable push notifications directly to users via the kweenkl service.
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