Android Source Code MCP Server

Overview

The Filesystem Android MCP server solves a common pain point for developers who want to harness the power of Claude or other AI assistants within their Android development workflow: secure, automated access to an entire Android project’s source code. By exposing a well‑defined API surface that validates, browses, and reads files while safeguarding sensitive directories, the server lets AI assistants perform code analysis, refactoring suggestions, or documentation generation without exposing build artifacts or version‑control metadata.

At its core, the server first verifies that a given directory is a legitimate Android project by looking for Gradle configuration files (, , etc.). Once validated, it presents a structured view of the project’s Kotlin (), Kotlin script (), TOML, and files, grouped by their containing directories. This organized listing enables the AI to quickly locate relevant files or modules, streamlining tasks such as searching for a specific class, understanding package hierarchies, or identifying configuration files.

Reading capabilities are granular and secure. The server allows the AI to request individual files or batches, but it enforces strict filtering rules that exclude sensitive paths like , , and directories. This ensures that proprietary build scripts, version‑control history, or generated artifacts never leak to the assistant. The result is a trustworthy environment where developers can rely on AI insights without compromising project integrity.

For real‑world use cases, the server shines in scenarios such as:

• Code review automation – an AI can read pull‑request diffs, suggest improvements, and flag potential issues.
• Knowledge transfer – new team members can query the assistant for explanations of complex modules or architectural decisions.
• Rapid prototyping – developers can ask the AI to scaffold new components or modify existing ones, confident that only source files are affected.
• Documentation generation – the assistant can scan the entire codebase to produce up‑to‑date docs or API references.

Integration with AI workflows is straightforward: the MCP client registers the server under a descriptive name (e.g., “Android source code”), and the AI can invoke its tools to list or read files as part of a broader conversation. Because the server adheres strictly to the MCP specification, it works seamlessly with any Claude‑compatible client that supports tool calls and resource management.

Unique advantages of this MCP server include its project validation step, which prevents accidental exposure of non‑Android directories, and its built‑in security filters that shield build artifacts and VCS data. Together these features provide a robust, developer‑friendly bridge between AI assistants and Android codebases, enabling smarter, safer, and more efficient development practices.