rxjs-mcp-server
Execute, debug, and visualize RxJS streams directly from AI assistants like Claude.
RxJS MCP Server
⚠️ This is an unofficial community project, not affiliated with RxJS team.
Execute, debug, and visualize RxJS streams directly from AI assistants like Claude.
Features
🚀 Stream Execution
- Execute RxJS code and capture emissions
- Timeline visualization with timestamps
- Memory usage tracking
- Support for all major RxJS operators
📊 Marble Diagrams
- Generate ASCII marble diagrams
- Visualize stream behavior over time
- Automatic pattern detection
- Clear legend and explanations
🔍 Operator Analysis
- Analyze operator chains for performance
- Detect potential issues and bottlenecks
- Suggest alternative approaches
- Categorize operators by function
🛡️ Memory Leak Detection
- Identify unsubscribed subscriptions
- Detect missing cleanup patterns
- Framework-specific recommendations (Angular, React, Vue)
- Provide proper cleanup examples
💡 Pattern Suggestions
- Get battle-tested RxJS patterns
- Framework-specific implementations
- Common use cases covered:
- HTTP retry with backoff
- Search typeahead
- WebSocket reconnection
- Form validation
- State management
- And more...
Installation
# Install globally
npm install -g @shuji-bonji/rxjs-mcp
# Or use with npx
npx @shuji-bonji/rxjs-mcp
Configuration
Claude Desktop
Add to ~/Library/Application Support/Claude/claude_desktop_config.json:
{
"mcpServers": {
"rxjs": {
"command": "npx",
"args": ["@shuji-bonji/rxjs-mcp"]
}
}
}
VS Code with Continue/Copilot
Add to .vscode/mcp.json:
{
"mcpServers": {
"rxjs": {
"command": "npx",
"args": ["@shuji-bonji/rxjs-mcp"]
}
}
}
Cursor
Add to ~/.cursor/mcp.json:
{
"mcpServers": {
"rxjs": {
"command": "npx",
"args": ["@shuji-bonji/rxjs-mcp"]
}
}
}
Available Tools
execute_stream
Execute RxJS code and capture stream emissions with timeline.
The tool accepts either an expression that evaluates to an Observable, or a
snippet ending in such an expression — return is optional.
// ✅ Trailing expression (v0.2.0+): the last expression is returned implicitly
interval(100).pipe(
take(5),
map((x) => x * 2),
);
// ✅ Declaration + trailing reference
const stream$ = interval(100).pipe(
take(5),
map((x) => x * 2),
);
stream$;
// ✅ Explicit return (always works)
return interval(100).pipe(
take(5),
map((x) => x * 2),
);
generate_marble
Generate ASCII marble diagrams from event data.
// Input: array of timed events
[
{ time: 0, value: 'A' },
{ time: 50, value: 'B' },
{ time: 100, value: 'C' },
];
// Output: A----B----C--|
analyze_operators
Analyze RxJS operator chains for performance and best practices.
// Analyzes chains like:
source$.pipe(
map((x) => x * 2),
filter((x) => x > 10),
switchMap((x) => fetchData(x)),
retry(3),
);
detect_memory_leak
Detect potential memory leaks and missing cleanup.
// Detects issues like:
- Missing unsubscribe
- No takeUntil operator
- Uncompleted Subjects
- Infinite intervals
suggest_pattern
Get production-ready patterns for common use cases.
Available patterns:
http-retry- Resilient HTTP with retrysearch-typeahead- Debounced searchpolling- Smart polling with backoffwebsocket-reconnect- Auto-reconnecting WebSocketform-validation- Reactive form validationstate-management- Simple state storecache-refresh- Cache with refresh strategy- And more...
Usage Examples
With Claude
User: "Execute this RxJS stream and show me the output"
Claude: I'll execute that RxJS stream for you.
[Uses execute_stream tool]
## Stream Execution Result
✅ Completed
Execution Time: 523ms
Values Emitted: 5
### Emitted Values
[0, 2, 4, 6, 8]
Debugging Memory Leaks
User: "Check this Angular component for memory leaks"
Claude: I'll analyze your component for potential memory leaks.
[Uses detect_memory_leak tool]
## Memory Leak Analysis
⚠️ Potential leaks detected
1. 🔴 subscription (high severity)
- Found 3 subscribe() calls but only 1 unsubscribe()
- Fix: Use takeUntil pattern with destroy$ subject
Getting Patterns
User: "Show me how to implement search with RxJS"
Claude: I'll show you the search typeahead pattern.
[Uses suggest_pattern tool with useCase: 'search-typeahead']
## Search Typeahead with Debounce
[Full implementation with explanation]
Security
The execute_stream tool runs user-provided code in an isolated Worker thread to prevent:
- Main process pollution
- Resource leaks from infinite loops or timers
- Access to sensitive Node.js APIs (process, fs, etc.)
Execution is forcefully terminated if it exceeds the configured timeout.
Development
# Clone the repository
git clone https://github.com/shuji-bonji/rxjs-mcp-server
cd rxjs-mcp-server
# Install dependencies
npm install
# Build
npm run build
# Run tests
npm test # Unit tests (vitest)
npm run test:mcp # MCP integration test
npm run test:inspector # MCP Inspector (GUI)
# Run in development
npm run dev
Release
Releases are automated via GitHub Actions and published to npm using Trusted Publisher (OIDC) — no static tokens are used, and every release carries an npm provenance attestation. See RELEASING.md for the full workflow (and initial npm setup).
Integration with Other MCP Servers
RxJS MCP Server works great alongside:
- Angular MCP - For Angular project scaffolding
- TypeScript MCP - For type checking
- ESLint MCP - For code quality
Future Meta-MCP integration will allow seamless coordination between these tools.
Architecture
┌─────────────────┐
│ AI Assistant │
│ (Claude, etc) │
└────────┬────────┘
│
MCP Protocol
│
┌────────┴────────┐
│ RxJS MCP Server│
├─────────────────┤
│ • execute_stream│
│ • generate_marble│
│ • analyze_operators│
│ • detect_memory_leak│
│ • suggest_pattern│
└─────────────────┘
Contributing
Contributions are welcome! Please feel free to submit a PR.
License
MIT
Author
Shuji Bonji
Links
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