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Enables service discovery for remote MCP services.
Exposes make functionality to Large Language Models (LLMs) enabling them to execute make targets in a safe and controlled manner.
Deploys an unauthenticated Model Context Protocol (MCP) server on Cloudflare Workers for AI agent integration.
Enables AI clients to orchestrate and delegate development tasks to specialized, autonomous AI subagents.
Provides a suite of tools for managing and interacting with Adobe Experience Manager (AEM) local instances, including package management, content operations, and status checks.
Manages secrets, DFC keys, and other resources within Thales CipherTrust Secrets Management via the Model Context Protocol.
Transforms requests from the Claude API to the OpenAI API for seamless integration and global access.
Provides a sample Model Context Protocol server for Azure Container Apps with HTTP streamable responses.
Enables AI assistants to directly interact with Jenkins CI/CD systems, offering AI-powered insights, build management, and debugging.
Deploy an unauthenticated Model Context Protocol server on Cloudflare Workers, designed for flexible AI agent development.
Integrate Azure DevOps with AI assistants like VS Code/GitHub Copilot to manage work items directly from your chat interface.
Deploy an unauthenticated remote Model Context Protocol server on Cloudflare Workers.
Enables AI assistants to perform BOSH Director operations for cloud infrastructure management and diagnostics.
Exposes a `sum_numbers` tool through a Model Context Protocol server for summing lists of integers.
Provides a modular framework for building modern conversational AI systems, compatible with standard transformer backbones and production deployment.
Provides robust system monitoring and administration capabilities for Luna_chat_v7 environments.
Provides a Model Context Protocol interface for LakeXpress, enabling automated management of database exports to various data lake storage and publishing targets.
Automates retrieval of Bitbucket pipeline configurations, repository variables, and deployment instructions from custom PDF documentation.
Exposes NetBox infrastructure data as tools for AI clients compatible with the Model Context Protocol.
Integrates any command-line interface tool into the MCP ecosystem by automatically introspecting its commands, flags, and arguments.
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