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Streamlines the management of AI tool configurations, including rules, commands, and MCP servers, for both global and project-specific environments.
Provides a Model Context Protocol server for accessing MantisBT objects via its REST API.
Implements a basic Model Context Protocol (MCP) server in TypeScript, following official specifications and best practices.
Generates a server based on the Twilio Routes OpenAPI specification for Multi-Agent Conversation Protocol interactions.
Enables secure command-line execution with validation for LLM applications.
Provides a remote endpoint for validating MCP server interactions.
Enables the use of the Symbol blockchain's REST API as Model Context Protocol (MCP) tools.
Manages GNU Gettext `.po` translation files, offering comprehensive tools for reading, writing, and manipulating entries.
Provides AI agents with episodic memory and architectural awareness to prevent context loss in long-running development workflows.
Converts various file and office document formats into Markdown for streamlined integration with applications and LLM compatibility.
Categorizes and organizes various tools relevant to MCP server management.
Integrates AI assistants with SonarQube to enable natural language interaction for code quality analysis, project management, and security insights.
Enables interaction with Confluence through a TypeScript-based server.
Enables AI agents to help users manage their daily priority tasks with focus and persistence.
Manages Azure DevOps work items through the Model Context Protocol (MCP) server.
Deploys an unauthenticated Model Context Protocol (MCP) server to Cloudflare Workers for remote tool execution.
Streamlines processes and optimizes operations for maximum productivity in various industries and sectors.
Facilitates interaction with the GitHub API using the Model Context Protocol.
Generates test scenarios from user stories by integrating with the Claude desktop interface.
Provides a suite of common date and time manipulation operations via an MCP server.
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