Borrowing it
Nothing to install: this file belongs to amsavarthan/android-tools-mcp. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/amsavarthan/android-tools-mcp/main/CLAUDE.mdgit clone --depth 1 https://github.com/amsavarthan/android-tools-mcpWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/instructions/amsavarthan/android-tools-mcp/claude-md)<a href="https://agentmods.dev/instructions/amsavarthan/android-tools-mcp/claude-md"><img src="https://agentmods.dev/badge/instructions/amsavarthan/android-tools-mcp/claude-md.svg" alt="Measured on agentmods" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.01748 | $0.01748 |
| Opus 5 | $0.00874 | $0.00874 |
| Sonnet 5 | $0.00350 | $0.00350 |
| Haiku 4.5 | $0.00175 | $0.00175 |
Grade A, and why
android-tools-mcp CLAUDE.md scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 7d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 147 lines — stays where its author put it; the contents beside it link to each section on GitHub.
android-tools-mcp
IntelliJ plugin that bridges Android Studio's built-in Gemini agent tools to external AI coding tools via the Model Context Protocol (MCP).
Build
Requires a local Android Studio installation. The build resolves its path from (in order): local.properties, env var ANDROID_STUDIO_PATH, or /Applications/Android Studio.app.
./gradlew buildPlugin
Output ZIP lands in build/distributions/. Install it via Settings > Plugins > Install from Disk.
Run / Test
There are no automated tests. To verify manually:
- Install the plugin ZIP in Android Studio and open a project
- Run
python3 scripts/health-check.py(orpython3 scripts/health-check.py <port>) to confirm the SSE server is up - Connect via Claude Code (see below) and invoke a tool
Connect with Claude Code
claude mcp add android-studio -- python3 scripts/android-studio-mcp.py
The Python wrapper script converts stdio ↔ SSE so CLI-based MCP clients can connect. Works on macOS, Linux, and Windows (Python 3.7+, stdlib only).
Architecture
Startup flow
McpBridgeStartupActivityfires on project open- Calls
McpBridgeService.start()which discovers tools and starts the SSE server - A second discovery pass runs after 30 s to catch late-loading tools
Tool discovery
McpBridgeService queries both of the Gemini plugin's parallel agent-tool extension points and merges the results, preferring V2 where a tool name appears on both:
| V1 | V2 | |
|---|---|---|
| Extension point | com.google.aiplugin.agentToolsProvider |
com.google.studiobot.agentsdk.toolsProvider |
| Package | com.google.aiplugin.agents |
com.google.studiobot.agentsdk |
| Enumeration | getToolSets(Project) |
getInstance(Project, ToolSetId) per enum value — there is no bulk accessor |
| Invocation | createToolHandler(ToolContext, Content.FunctionCall) then handle() returns a Response |
createToolHandler(ToolContext, Map) then run(MutableToolCallStep, Trajectory) writes the Response into the step |
| Status | Legacy — every implementation is …V1-suffixed |
Current, and the only place newer tools land |
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 7d ago First seen · 147 lines · 1,748 tokens per session scan A 2355bac109d8
android-tools-mcp CLAUDE.md is an instructions file published in the GitHub repository amsavarthan/android-tools-mcp (27 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 1,748 tokens to every session, about $0.0087 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other instructions, from other repositories
awesome-ai-setup riverpod.instructions.md
Instructions for shuchitajain/awesome-ai-setup, covering riverpod conventions, provider types, naming, state classes and async state pattern.
next.js AGENTS.md
AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.
codex AGENTS.md
AGENTS.md instructions for openai/codex, covering rust/codex-rs, the codex-core crate, code review rules, crate api surface and model visible context.
vscode buildNext.instructions.md
Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, applying the notice (cutover) and fallback chain (never fail the build).
langchain AGENTS.md
AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.