stravinsky 0.2.53

MCP Bridge for Claude Code with Multi-Model Support. Install globally: claude mcp add --scope user stravinsky -- uvx stravinsky. Add to CLAUDE.md: See https://pypi.org/project/stravinsky/

Stravinsky

The Avant-Garde MCP Bridge for Claude Code

Movement • Rhythm • Precision

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What is Stravinsky?

Multi-model AI orchestration with OAuth authentication for Claude Code.

Features

• 🔐 OAuth Authentication - Secure browser-based auth for Google (Gemini) and OpenAI (ChatGPT)
• 🤖 Multi-Model Support - Seamlessly invoke Gemini and GPT models from Claude
• 🛠️ 31 MCP Tools - Model invocation, code search, LSP integrations, session management, and more
• 🧠 7 Specialized Agents - Stravinsky (orchestrator), Delphi (advisor), Dewey (documentation), and more
• 🔄 Background Tasks - Spawn parallel agents with full tool access via Claude Code CLI
• 📝 LSP Integration - Full Language Server Protocol support for Python (jedi)
• 🔍 AST-Aware Search - Structural code search and refactoring with ast-grep

Quick Start

Installation

From PyPI (Recommended):

# One-shot with uvx - no installation needed!
claude mcp add stravinsky -- uvx stravinsky

# Or install globally first:
uv tool install stravinsky
claude mcp add stravinsky -- stravinsky

From Source (for development):

uv tool install --editable /path/to/stravinsky
claude mcp add stravinsky -- stravinsky

Authentication

# Login to Google (Gemini)
stravinsky-auth login gemini

# Login to OpenAI (ChatGPT Plus/Pro required)
stravinsky-auth login openai

# Check status
stravinsky-auth status

# Logout
stravinsky-auth logout gemini

### Slash Commands

Slash commands are discovered from:
- Project-local: `.claude/commands/**/*.md` (recursive)
- User-global: `~/.claude/commands/**/*.md` (recursive)

Commands can be organized in subdirectories (e.g., `.claude/commands/strav/stravinsky.md`).

Add to Your CLAUDE.md

After installing globally, add this to your project's CLAUDE.md:

## Stravinsky MCP (Parallel Agents)

Use Stravinsky MCP tools. **DEFAULT: spawn parallel agents for multi-step tasks.**

### Agent Tools

- `agent_spawn(prompt, agent_type, description)` - Spawn background agent with full tool access
- `agent_output(task_id, block)` - Get results (block=True to wait)
- `agent_progress(task_id)` - Check real-time progress
- `agent_list()` - Overview of all running agents
- `agent_cancel(task_id)` - Stop a running agent

### Agent Types

- `explore` - Codebase search, "where is X?" questions
- `dewey` - Documentation research, implementation examples
- `frontend` - UI/UX work, component design
- `delphi` - Strategic advice, architecture review

### Parallel Execution (MANDATORY)

For ANY task with 2+ independent steps:

1. **Immediately use agent_spawn** for each independent component
2. Fire all agents simultaneously, don't wait
3. Monitor with agent_progress, collect with agent_output

### ULTRATHINK / ULTRAWORK

- **ULTRATHINK**: Engage exhaustive deep reasoning, multi-dimensional analysis
- **ULTRAWORK**: Maximum parallel execution - spawn agents aggressively for every subtask

Tools (31)

Category	Tools
Model Invoke	invoke_gemini, invoke_openai, get_system_health
Environment	get_project_context, task_spawn, task_status, task_list
Agents	agent_spawn, agent_output, agent_cancel, agent_list, agent_progress
Code Search	ast_grep_search, ast_grep_replace, grep_search, glob_files
LSP	lsp_diagnostics, lsp_hover, lsp_goto_definition, lsp_find_references, etc.
Sessions	session_list, session_read, session_search
Skills	skill_list, skill_get

Agent Prompts (7)

Prompt	Purpose
stravinsky	Task orchestration, planning, and goal-oriented execution.
delphi	Strategic technical advisor (GPT-based) for hard debugging.
dewey	Documentation and multi-repository research specialist.
explore	Specialized for codebase-wide search and structural analysis.
frontend	UI/UX Engineer (Gemini-optimized) for component prototyping.
document_writer	Technical documentation and specification writer.
multimodal	Visual analysis expert for UI screenshots and diagrams.

Development

# Install in development mode
uv pip install -e .

# Run server
stravinsky

Project Structure

stravinsky/
├── mcp_bridge/           # Python MCP server
│   ├── server.py         # Entry point
│   ├── auth/             # OAuth (Google & OpenAI)
│   ├── tools/            # Model invoke, search, skills
│   ├── prompts/          # Agent system prompts
│   └── config/           # Bridge configuration
├── pyproject.toml        # Build system
└── README.md             # This file

Troubleshooting

OpenAI "Port 1455 in use"

The Codex CLI uses the same port. Stop it with: killall codex

OpenAI Authentication Failed

• Ensure you have a ChatGPT Plus/Pro subscription
• Tokens expire occasionally; run stravinsky-auth login openai to refresh

License

MIT

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