chatml
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AI-powered command-line micro agent framework that wraps shell commands as LLM-callable functions via TOML configuration, with multi-LLM backend and MCP protocol support for safe natural-language-to-system-operation translation.
An MCP (Model Context Protocol) server for Django projects that provides AI assistants with read-only capabilities for project discovery, database introspection, configuration querying, and log reading. Supports integration with Cursor, Claude Desktop, Copilot, and other AI tools.
An official Okta-maintained Model Context Protocol (MCP) server that securely integrates LLM agents with Okta Admin Management APIs for natural-language-driven automation of users, groups, applications, and policies management.
An AI-native API testing platform built on Model Context Protocol (MCP) that generates mock servers from OpenAPI v2/v3 specs. Supports Mock/Proxy/Hybrid modes with 50 MCP capabilities, integrates with LangGraph/CrewAI/LangChain, and provides enterprise-grade audit logging and performance analytics.
A local-first AI agents toolkit for Node.js and the browser, providing composable Agent, Task, and semantic memory modules, compatible with local inference backends like Ollama/Llama.cpp, emphasizing explicit control and declarative definitions.
A VS Code extension integrating 20+ AI providers into GitHub Copilot Chat with multi-account management, load balancing, and advanced code completion
Comprehensive demo repository for AI Agent technologies with multi-framework examples (CrewAI, kagent, ADK), MCP integration, fine-tuning, and production-ready AI Gateway deployments.
A Model Context Protocol server for Unreal Engine enabling AI assistants to control the UE editor through a native C++ plugin, with 200+ operations covering assets, actors, levels, animation, VFX, and more.
An official Rust-based MCP server by Apollo that converts GraphQL APIs into standardized AI-callable tools, supporting multi-client integration like Claude and Cursor for intelligent LLM and graph data orchestration.
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