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Executes command-line scripts through a management control plane (MCP).
Deploys a remote Model Context Protocol (MCP) server on Cloudflare Workers with OAuth login.
Converts Stdio Mcp Servers to Restful APIs, simplifying deployment and integration with web services.
Provides a RESTful API for interacting with a Supabase database.
Enables AI assistants to manage infrastructure, applications, databases, services, and more through a self-hosted Coolify PaaS platform.
Deploys a Model Context Protocol (MCP) server on Cloudflare Workers, featuring integrated OAuth login.
Provides automated, multi-language code feedback, validation, and project analysis through a secure API.
Demonstrates developing and running serverless applications using the Model Context Protocol (MCP) with Netlify Functions and Express.js.
Provides a minimal FastMCP server template, optimized for Render deployment with streamable HTTP transport.
Expose a suite of essential penetration testing tools from Kali Linux as a standardized service for AI integration and automation.
Transforms any OpenAPI specification into a fully functional MCP server, providing a versatile interface for external APIs.
Exposes an MCP-compatible server for robust compliance analysis and essential Azure operations, enabling programmatic interaction with blob storage, log analytics, and resource management.
Enables secure and efficient inter-process communication on Windows systems through memory-mapped files via the Model Context Protocol.
Provides a production-ready Model Context Protocol (MCP) server boilerplate for deployment on Vercel with Bun.
Provides a server for executing queries across multiple database types, supporting PostgreSQL, MySQL, and SQL Server.
Facilitates gasless ERC-20 token deployment and transfers on the Base network leveraging CDP Paymaster technology.
Manages GitLab issues, merge requests, pipelines, and performs comprehensive searches.
Provides AI assistants with read-only access to Azure DevOps Team Foundation Version Control for browsing source trees, reading file contents, and inspecting changesets.
Manage Akamai Property Manager (PAPI) configurations, enabling AI assistants to read, validate, modify, and activate Akamai CDN properties.
Packages any command-line tool into an MCP server within a Docker container, providing AI coding assistants with structured, safe access.
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