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Provides a TypeScript template for building MCP (Model Context Protocol) servers with automated template synchronization to downstream repositories.
Enables AI clients to delegate development tasks to autonomous developer teams using Goose CLI subagents.
Enables Claude to generate speech directly on Linux systems with GPU optimizations.
Integrates Claude AI with VSCode, Augment, Vercel, Airtable, and Square through a unified Model Context Protocol (MCP) server.
Retrieves user geolocation information via EdgeOne Pages Functions and integrates it with large language models through the Model Context Protocol (MCP).
Introduces deliberate pauses into AI-driven workflows to ensure asynchronous operations complete.
Executes commands by calling specified tools with a given prompt.
Integrates RongCloud instant messaging services, enabling comprehensive user, message, and group management within an MCP server framework.
Builds AI agents based on the MCP architecture.
Empower AI assistants to interact with and control terminal sessions through a secure, isolated environment.
Enables AI agents to programmatically manage issues, projects, and teams on the Linear platform.
Streamline DevOps processes by providing multi-server management, intelligent scenario mapping, and complete CI/CD lifecycle operations for Jenkins.
Enables real-time push notifications through a Model-Context-Protocol server.
Enables AI clients to orchestrate and delegate development tasks to specialized, autonomous AI subagents.
Enable large language models (LLMs) to interact with CircleCI for managing continuous integration and delivery tasks.
Enables LLMs to interact with the Binance Smart Chain (BSC) network for data access and queries.
Provides real-time, privacy-preserving analysis of LLM interactions to detect out-of-distribution behaviors and recommend safety interventions.
Implements the Model Context Protocol (MCP) for CMMV applications, enabling standardized interactions between large language models and applications.
Builds an agent AI application utilizing Model Context Protocol tools with an Angular mobile user interface.
Provides tools for storing, retrieving, and managing text-based memories with optional tags in a local JSON file.
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