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
Máy chủ liên quan
Alpha Vantage MCP Server
nhà tài trợAccess financial market data: realtime & historical stock, ETF, options, forex, crypto, commodities, fundamentals, technical indicators, & more
TMUX
Lets agents create sessions, split panes, run commands, and capture output with TMUX
MCP Server Starter
A TypeScript starter project for building Model Context Protocol (MCP) servers with Bun.
LLAMA Hot Swap
MCP server for hot-swapping llama.cpp models in Claude Code - launchctl (macOS) + systemd (Linux)
Devvit
A companion server for building applications on Reddit's developer platform.
agent-lsp
A stateful LSP runtime for AI agents: warm language server sessions with 50+ tools for go-to-definition, find-references, diagnostics, rename, and more across 30+ languages.
VectorMCP
A Ruby gem for building Model Context Protocol (MCP) servers to expose tools, resources, and prompts to LLM clients.
i18next MCP Server
An MCP server for managing translations in i18next projects, allowing AI assistants to interact directly with translation files.
MediaWiki
Interact with MediaWiki installations through the MediaWiki API as a bot user.
AI Skill Store
Agent-first skill marketplace — search, evaluate, and install skills across 7 AI platforms via MCP. Features Supply Loop where agents become contributors.
mcp-of-mcps
MCP of MCPs is a meta-server that merges all your MCP servers into a single smart endpoint. It gives AI agents instant tool discovery, selective schema loading, and massively cheaper execution, so you stop wasting tokens and time. With persistent tool metadata, semantic search, and direct code execution between tools, it turns chaotic multi-server setups into a fast, efficient, hallucination-free workflow. It also automatically analyzes the tools output schemas if not exist and preserves them across sessions for consistent behavior.