MCPFast / Tools / Ministr: MCP server for AI coding agents with semantic understanding

GitHubMCP★★★★☆

Ministr: MCP server for AI coding agents with semantic understanding

Ministr provides AST-level code understanding for AI agents, enabling semantic search, navigation, and reference graphs, compatible with any MCP client.

View on GitHub

Ministr: MCP Server for AI Coding Agents

Ministr is an MCP server designed to empower AI coding agents with deep, semantic understanding of codebases. By providing Abstract Syntax Tree (AST) level analysis, Ministr enables agents to perform advanced operations like semantic search, code navigation, and the construction of comprehensive reference graphs. This makes it an invaluable tool for developers building sophisticated AI assistants for code comprehension and manipulation.

What Ministr Does

Ministr acts as a bridge between your code and AI agents. It parses code into its AST representation, allowing AI models to understand the structure, relationships, and meaning of the code, not just its textual form. This semantic understanding is crucial for tasks that require more than simple pattern matching, such as identifying the purpose of a function, tracing variable usage across a project, or suggesting refactorings based on code logic.

Key Features

Who Ministr is For

Ministr is specifically built for AI developers and researchers focused on creating intelligent coding tools. This includes: