flutter-dev-mcp
An MCP server that wraps Flutter CLI tools into structured, agent-friendly tools for AI coding agents, with features like two-phase test results, output capping, and managed app lifecycle.
README
flutter-dev-mcp
An MCP (Model Context Protocol) server that gives AI coding agents first-class Flutter development tools.
Why?
Flutter CLI tools are designed for humans, not agents. flutter test dumps hundreds of lines of output that overwhelm context windows. flutter run requires interactive terminal access for hot reload. flutter analyze produces unstructured text. This MCP server wraps the Flutter CLI into structured, agent-friendly tools with sensible output limits.
Key design decisions:
- Test results are two-phase:
flutter_testreturns a compact summary of failures.flutter_get_resultfetches full error details for specific tests. This prevents a single test run from blowing the context window. - All outputs are capped at 24KB to stay within typical tool response limits.
flutter runis managed: The server holds the process, exposes hot reload/restart/logs/kill as separate tools, so the agent doesn't need terminal access.- Inputs are sanitized: All commands use array-based process spawning (no shell). Project paths are normalized and validated. Package names and device IDs are checked for flag injection.
Tools at a glance
| Tool | Parameters | Description |
|---|---|---|
flutter_test |
project_dir, [test_path], [test_name], [extra_args] | Run tests and return a compact summary of failures only. Use flutter_get_result to drill into specific failures. |
flutter_get_result |
test_run_id, test_ids | Get full error details for specific test IDs from a previous flutter_test run. Output capped at 24KB. |
flutter_run |
project_dir, [device], [is_debug], [dont_detach], [extra_args] | Start a Flutter app on device (e.g. macos, chrome, emulator ID) in debug or release mode. By default detaches after the app starts and returns a run_id. |
flutter_hot_reload |
run_id | Hot reload a running app. |
flutter_hot_restart |
run_id | Hot restart a running app. |
flutter_kill |
run_id | Kill a running app. Graceful shutdown, force-kills after 5s. |
flutter_logs |
run_id | Get logs from a running app. Returns the most recent output, capped at 24KB. |
flutter_analyze |
project_dir | Run static analysis. Returns structured issues with severity, file, line, column, and rule name. |
flutter_devices |
[wireless] | List available devices (simulators, emulators, physical). Skips wireless scan by default. |
flutter_clean |
project_dir | Delete build artifacts. Useful when builds get into a bad state. |
flutter_pub_get |
project_dir | Resolve and download dependencies. |
flutter_pub_add |
project_dir, packages, [dev] | Add one or more packages. Supports dev dependencies. |
flutter_gen_l10n |
project_dir | Generate localization files from ARB files. |
flutter_build |
project_dir, target, [debug], [extra_args] | Build the app for a target platform (apk, ios, web, macos, etc.). |
flutter_build_runner |
project_dir, [delete_conflicting] | Run build_runner for code generation (freezed, json_serializable, drift, etc.). |
Parameters in [brackets] are optional.
Install
Requires Node.js 18+ and Flutter SDK on your PATH.
npm install -g flutter-dev-mcp
Or run directly with npx (recommended):
npx -y flutter-dev-mcp
Options
--limit-tools Only expose tools that provide significant benefit over
direct CLI usage (testing, app lifecycle, logs). Omits
analyze, devices, clean, pub get/add, gen-l10n, build,
and build_runner, which agents can run via shell.
Configuration
Claude Code (CLI)
Easy: claude mcp add flutter-dev -- npx -y flutter-dev-mcp
Claude Desktop
Add to ~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or %APPDATA%\Claude\claude_desktop_config.json (Windows):
{
"mcpServers": {
"flutter-dev": {
"command": "npx",
"args": ["-y", "flutter-dev-mcp"]
}
}
}
Codex / Other agents
Any agent that supports MCP can use this server. Point it at the stdio transport:
npx -y flutter-dev-mcp
The server communicates over stdin/stdout using the MCP JSON-RPC protocol.
Tools
Testing
flutter_test
Run tests and get a summary of failures.
| Parameter | Type | Required | Description |
|---|---|---|---|
project_dir |
string | yes | Path to the Flutter project |
test_path |
string | no | Specific test file or directory |
test_name |
string | no | Filter by test name (plain string match) |
extra_args |
string[] | no | Additional flags (e.g. ["--coverage", "--dart-define=KEY=VALUE"]) |
Returns a test_run_id and an array of failed tests with short error excerpts. Pass the test_run_id to flutter_get_result for full details.
flutter_get_result
Get full error output for specific test IDs from a previous run.
| Parameter | Type | Required | Description |
|---|---|---|---|
test_run_id |
number | yes | From a previous flutter_test call |
test_ids |
number[] | yes | Test IDs to get details for |
Output is capped at 24KB total. If a single test exceeds that, its error is truncated. If multiple tests would exceed it, only tests that fit are returned.
App lifecycle
flutter_run
Start a Flutter app and get a run_id for subsequent commands.
| Parameter | Type | Required | Default | Description |
|---|---|---|---|---|
project_dir |
string | yes | Path to the Flutter project | |
device |
string | no | "" |
Device ID (e.g. chrome, macos, emulator ID) |
is_debug |
boolean | no | true |
Debug mode (true) or release mode (false) |
dont_detach |
boolean | no | false |
Wait for app to exit instead of returning after start |
extra_args |
string[] | no | [] |
Additional flags (e.g. ["--flavor=dev", "--dart-define=KEY=VALUE"]) |
flutter_hot_reload
Trigger a hot reload on a running app.
| Parameter | Type | Required | Description |
|---|---|---|---|
run_id |
number | yes | From a previous flutter_run call |
flutter_hot_restart
Trigger a hot restart on a running app.
| Parameter | Type | Required | Description |
|---|---|---|---|
run_id |
number | yes | From a previous flutter_run call |
flutter_kill
Kill a running app. Sends q for graceful shutdown, force-kills after 5s.
| Parameter | Type | Required | Description |
|---|---|---|---|
run_id |
number | yes | From a previous flutter_run call |
flutter_logs
Get logs from a running app. Returns the most recent output, capped at 24KB.
| Parameter | Type | Required | Description |
|---|---|---|---|
run_id |
number | yes | From a previous flutter_run call |
Analysis
flutter_analyze
Run static analysis. Returns structured issues with severity, file location, and lint rule name.
| Parameter | Type | Required | Description |
|---|---|---|---|
project_dir |
string | yes | Path to the Flutter project |
flutter_devices
List available devices.
| Parameter | Type | Required | Default | Description |
|---|---|---|---|---|
wireless |
boolean | no | false |
Include wireless devices (slower) |
Build
flutter_build
Build the app for a target platform. Can take a long time for release builds.
| Parameter | Type | Required | Default | Description |
|---|---|---|---|---|
project_dir |
string | yes | Path to the Flutter project | |
target |
string | yes | Build target: apk, appbundle, ios, ipa, web, macos, windows, linux, aar, bundle, ios-framework, macos-framework |
|
debug |
boolean | no | true |
Debug mode (true) or release mode (false) |
extra_args |
string[] | no | [] |
Additional flags (e.g. ["--simulator", "--flavor=dev"]) |
Dependencies & codegen
flutter_pub_get
Resolve and download dependencies.
| Parameter | Type | Required | Description |
|---|---|---|---|
project_dir |
string | yes | Path to the Flutter project |
flutter_pub_add
Add packages to the project.
| Parameter | Type | Required | Default | Description |
|---|---|---|---|---|
project_dir |
string | yes | Path to the Flutter project | |
packages |
string[] | yes | Package names (e.g. ["http", "provider"]) |
|
dev |
boolean | no | false |
Add as dev dependency |
flutter_clean
Delete build artifacts. Useful when builds get into a bad state.
| Parameter | Type | Required | Description |
|---|---|---|---|
project_dir |
string | yes | Path to the Flutter project |
flutter_gen_l10n
Generate localization files from ARB files.
| Parameter | Type | Required | Description |
|---|---|---|---|
project_dir |
string | yes | Path to the Flutter project |
flutter_build_runner
Run dart run build_runner build for code generation (freezed, json_serializable, drift, etc.).
| Parameter | Type | Required | Default | Description |
|---|---|---|---|---|
project_dir |
string | yes | Path to the Flutter project | |
delete_conflicting |
boolean | no | true |
Delete conflicting outputs before building |
Building from source
git clone <repo-url>
cd flutter-dev-mcp
npm install
npm run build
node dist/index.js
License
MIT
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
Neon Database
MCP server for interacting with Neon Management API and databases
E2B
Using MCP to run code via e2b.
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.