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Enables AI assistants to fetch data from Linear through the Model Context Protocol (MCP).
Generates random numbers using the Model Context Protocol (MCP).
Provides a curated collection of verified servers for various integrations and tasks.
Interacts with a filesystem server, allowing execution of specified tools with given arguments.
Offers a simulated MCP server implementation with data resource listing and tool execution capabilities.
Enables AI assistants to control a browser via Cloudflare Workers, performing web automation tasks.
Securely integrates Anthropic Claude with AI assistants via an HTTP API proxy, offering comprehensive safety controls and permission management.
Generates speech from text using the Microsoft Edge Text-to-Speech engine via the Model Context Protocol.
Provides Claude Desktop with access to multiple advanced AI models including Gemini, OpenAI, OpenRouter, and Ollama for extended development and reasoning capabilities.
Provides persistent project context and planning state to AI coding assistants like Claude Code.
Demonstrates core functionality of a Model Context Protocol server, showcasing extensible tools and dynamic resource handling.
Retrieves raw website content through a lightweight API endpoint, serving as an MCP server demonstration.
Deploys an authentication-free remote Model Context Protocol server on Cloudflare Workers for AI agent integration.
Generates conventional commit messages by analyzing Git repository changes.
Enables seamless integration between AI agents and the Windows operating system, allowing large language models to perform tasks such as file navigation, application control, and UI interaction.
Provides a server to facilitate text translation using the Lingvanex API, integrating with Model Context Protocol (MCP) clients.
Exposes MCP-style HTTP endpoints for integrating a file search utility into Spring Boot applications.
Automates the entire lifecycle of documentation, including creation, maintenance, quality assessment, and synchronization for software projects.
Connect AI assistants to LightRAG's powerful knowledge graph and RAG capabilities via the Model Context Protocol.
Performs advanced email security analysis to detect phishing, malware, and Business Email Compromise (BEC) attempts through deep header inspection and threat intelligence.
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