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Enables real-time, human-to-human communication using the Model Context Protocol (MCP) by repurposing its tool-calling mechanism.
Enables AI coding assistants to interact with JetBrains TeamCity CI/CD server, providing natural language control over builds, tests, and deployments.
Analyzes GitHub pull requests and manages issues as part of an automated workflow.
Validates OpenAPI specifications using the APIMatic API with Model Context Protocol.
Manipulates DOCX files, including creating and editing them.
Search for MCP Servers directly from the command line.
Exposes Coroot incidents and health summaries as read-only tools for AI assistants through a Model Context Protocol (MCP) server.
Integrates Alfresco with the Model Context Protocol to connect content services to AI applications.
Access virtual machine command lines remotely through a web-based terminal interface with automatic tunneling.
Manages multiple Qwen Code Micro-Controller Protocol (MCP) servers from a centralized location.
Simplifies common tasks in Go development through a modular utility library.
Provides a Model Context Protocol (MCP) server for text-to-speech functionality using Microsoft Edge's text-to-speech service.
Enables AI models to dynamically create and execute custom tools through a meta-function architecture.
Simplifies access and exploration of Korean Public Data Portal (OpenAPI) resources.
Enables enqueuing background jobs using a Hangfire MCP server.
Enables interaction with Neo4j databases through a Model Context Protocol (MCP) server using Server-Sent Events (SSE).
Enables Claude AI to interact with and manage Prometheus Alertmanager alerts through a Model Context Protocol (MCP) server.
Integrates RootData API to provide cryptocurrency and blockchain project data queries.
Executes shell commands securely within an isolated Docker container using the Model Context Protocol (MCP).
Implements the MCP protocol server-side, facilitating AI integration within Unity projects.
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