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Locates files within a specified directory based on a given path fragment.
Enables Voxta to communicate with Model Context Protocol (MCP) servers, extending its capabilities through external tools.
Provides a Model Context Protocol (MCP) server for retrieving air quality data from Airthings devices.
Provides interval timing functionality using token-based time tracking via an MCP (Model Context Protocol) Server.
Enables Claude to connect to ServiceNow instances, retrieve data, and perform actions through its API.
Exposes operations for managing MongoDB databases, collections, documents, indexes, and bulk operations via the Model Context Protocol (MCP).
Establishes a local server to manage and persist user preferences, interests, and context for desktop extensions.
Manages and serves AI prompts with versioning and seamless integration for development environments like Cursor.
Integrates the Sonar API to enable Claude and other AI agents to perform real-time, web-wide research.
Generates Model Context Protocol (MCP) tools automatically for each endpoint defined in an OpenAPI specification.
Reasons, plans, and executes writing tasks as an AI agent.
Provides a Typescript sample implementation for an MCP server, demonstrating tool creation and AI completion request handling.
Provides a cutting-edge Proof of Concept implementation of a Model Context Protocol (MCP) server using Python and modern technologies.
Demonstrates the Model Context Protocol (MCP) through a TypeScript server implementation.
Integrates Azure DevOps with GitHub Copilot Chat, enabling natural language queries for work items directly within your IDE.
Provides a robust set of development tools, dynamic resources, and reusable prompt templates to enhance software development workflows.
Integrates ChatGPT functionality within a Next.js application environment.
Integrate TestDino test management with AI agents for natural language interaction with test data.
Provides advanced property-based fuzzing and testing capabilities for Model Context Protocol servers, enabling automated discovery of edge cases and bugs in Python functions.
Gives AI coding assistants instant access to your private documents—API specs, research papers, internal docs—without ever sending data to the cloud.
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