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AiDD MCP Server

MCP Server

AI-Driven Development Tools in One MCP Service

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Updated Jan 11, 2025

About

The AiDD MCP Server offers AI-assisted software development utilities, including file system operations, multi-language code analysis and execution via tree-sitter, Git integration, and secure workspace controls. It streamlines coding workflows for AI agents.

Capabilities

Resources
Access data sources
Tools
Execute functions
Prompts
Pre-built templates
Sampling
AI model interactions

AiDD MCP Server Badge

The AiDD MCP Server is a versatile backend designed to bridge AI assistants with real-world software development workflows. By exposing a rich set of tools over the Model Context Protocol, it empowers Claude and other AI agents to manipulate codebases, interrogate repositories, and execute programs directly from the assistant’s conversational interface. This eliminates the friction of switching between IDEs, command lines, and documentation, allowing developers to focus on higher‑level design decisions while the AI handles routine operations.

At its core, the server offers a comprehensive file‑system API: read, write, edit, move, delete, and metadata retrieval. These actions are wrapped in intuitive JSON payloads that can be invoked from the assistant’s prompt, enabling tasks such as inserting boilerplate code, refactoring function names, or cleaning up temporary files. Directory traversal and tree generation further allow the AI to understand project structure, list contents, or search for specific patterns across a codebase. This capability is crucial when the assistant needs to suggest file organization or locate missing dependencies.

Beyond static file manipulation, AiDD incorporates dynamic analysis and execution. Leveraging tree‑sitter parsers for multiple languages, the server can parse source files to provide syntax trees, identify code smells, or extract function signatures. Coupled with a sandboxed execution engine, the assistant can run snippets in isolation, gather runtime results, and feed them back into the conversation. This is particularly useful for debugging, testing edge cases, or demonstrating algorithm behavior without leaving the chat.

Git integration is another standout feature. The server exposes common Git operations—status, diff, commit, branch management—through straightforward calls. An AI assistant can now perform version control tasks such as creating a new feature branch, staging changes, or generating commit messages that follow best practices. When combined with the file‑system tools, developers can orchestrate complex workflows—like refactoring a module and immediately committing the changes—all from within the assistant’s dialogue.

Security and sandboxing are built into every operation. Workspace boundaries can be configured to restrict file access, preventing accidental modifications outside a designated directory tree. This makes the server safe for use in shared environments or on remote machines where unrestricted file access could pose risks. The combination of a well‑defined API surface, language‑agnostic parsing, sandboxed execution, and Git support gives AiDD a unique edge among MCP servers: it is not just a tool provider, but an integrated development companion that understands both the structure and semantics of code.