Agentic AI Agent Skills

- MCP Server: code-to-tree - Using code-to-tree - Configure MCP Clients - Building (Windows) - Building (macOS) The code-to-tree server's goals are: 1. Give LLMs the capability of accurately converting source code into AST(Abstract Syntax Tree), regardless of language. 2. One standalone binary should be everything the MCP client needs. These goals imply: 1. The underlying syntax parser should be v

The Wanaku MCP Router is a router for AI-enabled applications powered by the Model Context Protocol (MCP). This protocol is an open protocol that standardizes how applications provide context to LLMs. The project name comes from the origins of the word Guanaco, a camelid native to South America. - Unified Access - Centralized routing and resource management for AI agents - MCP-to-MCP Bridge - Act

This project provides Model Context Protocol (MCP) for the Mifos X Ecosystem, enabling AI agents to access financial data and operations. Implementations is available in Java (Quarkus). Use the MCP Inspector to test and debug your server: This starts a local web UI to connect to your MCP server via STDIO or SSE. Prerequisites: JDK 21+, Maven 1. Configure environment variables in your shell or IDE: