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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/

Project description

Stravinsky Logo

Stravinsky

The Avant-Garde MCP Bridge for Claude Code

Movement โ€ข Rhythm โ€ข Precision


What is Stravinsky?

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

Features

  • ๐Ÿ” OAuth Authentication - Secure browser-based auth for Google (Gemini) and OpenAI (ChatGPT)
  • ๐Ÿค– Multi-Model Support - Seamlessly invoke Gemini and GPT models from Claude
  • ๐ŸŽฏ Native Subagent Orchestration - Auto-delegating orchestrator with parallel execution (zero CLI overhead)
  • ๐Ÿ› ๏ธ 38 MCP Tools - Model invocation, code search, semantic search, LSP refactoring, session management, and more
  • ๐Ÿง  9 Specialized Native Agents - Stravinsky (orchestrator), Research Lead, Implementation Lead, Delphi (GPT-5.2 advisor), Dewey (documentation), Explore (code search), Frontend (Gemini 3 Pro High UI/UX), Code Reviewer, Debugger
  • ๐Ÿ”„ Hook-Based Delegation - PreToolUse hooks enforce delegation patterns with hard boundaries (exit code 2)
  • ๐Ÿ“ LSP Integration - Full Language Server Protocol support with persistent servers (35x speedup), code refactoring, and advanced navigation
  • ๐Ÿ” AST-Aware Search - Structural code search and refactoring with ast-grep
  • ๐Ÿง  Semantic Code Search - Natural language queries with local embeddings (ChromaDB + Ollama)
  • โšก Cost-Optimized Routing - Free/cheap agents (explore, dewey) always async, expensive (delphi) only when needed

Quick Start

Installation

CRITICAL: Always use --global with @latest for auto-updates

# CORRECT: Global installation with automatic updates
claude mcp add --global stravinsky -- uvx stravinsky@latest

# Why this matters:
# - --global: Works across all projects (not just current directory)
# - @latest: Auto-checks PyPI on every Claude restart (no stale cache)

WRONG - Do NOT use these:

# โŒ Local scope (only works in one project)
claude mcp add stravinsky -- uvx stravinsky@latest

# โŒ No @latest (cache never updates, stays on old version)
claude mcp add --global stravinsky -- uvx stravinsky

# โŒ uv tool install (requires manual upgrades)
uv tool install stravinsky

Development (local editable install):

# ONLY for active development on stravinsky source code
uv tool install --editable /path/to/stravinsky
claude mcp add --global 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).

Native Subagent Architecture

Stravinsky uses native Claude Code subagents (.claude/agents/) with automatic delegation:

How It Works

  1. Auto-Delegation: Claude Code automatically delegates complex tasks to the Stravinsky orchestrator
  2. Hook-Based Control: PreToolUse hooks intercept direct tool calls and enforce delegation patterns
  3. Parallel Execution: Task tool enables true parallel execution of specialist agents
  4. Multi-Model Routing: Specialists use invoke_gemini/openai MCP tools for multi-model access

Agent Types

Agent Model Cost Use For
stravinsky Claude Sonnet 4.5 (32k thinking) Moderate Auto-delegating orchestrator (primary)
explore Gemini 3 Flash (via MCP) Free Code search, always async
dewey Gemini 3 Flash + WebSearch Cheap Documentation research, always async
code-reviewer Claude Sonnet (native) Cheap Quality analysis, always async
debugger Claude Sonnet (native) Medium Root cause (after 2+ failures)
frontend Gemini 3 Pro High (via MCP) Medium ALL visual changes (blocking)
delphi GPT-5.2 Medium (via MCP) Expensive Architecture (after 3+ failures)

Delegation Rules (oh-my-opencode Pattern)

  • Always Async: explore, dewey, code-reviewer (free/cheap)
  • Blocking: debugger (2+ failures), frontend (ALL visual), delphi (3+ failures or architecture)
  • Never Work Alone: Orchestrator blocks Read/Grep/Bash via PreToolUse hooks

ULTRATHINK / ULTRAWORK

  • ULTRATHINK: Engage exhaustive deep reasoning with extended thinking budget (32k tokens)
  • ULTRAWORK: Maximum parallel execution - spawn all async agents immediately

## Tools (38)

| 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`, `agent_retry` |
| **Code Search**  | `ast_grep_search`, `ast_grep_replace`, `grep_search`, `glob_files`                 |
| **Semantic**     | `semantic_search`, `semantic_index`, `semantic_stats`                              |
| **LSP**          | `lsp_diagnostics`, `lsp_hover`, `lsp_goto_definition`, `lsp_find_references`, `lsp_document_symbols`, `lsp_workspace_symbols`, `lsp_prepare_rename`, `lsp_rename`, `lsp_code_actions`, `lsp_code_action_resolve`, `lsp_extract_refactor`, `lsp_servers` (12 tools) |
| **Sessions**     | `session_list`, `session_read`, `session_search`                                   |
| **Skills**       | `skill_list`, `skill_get`                                                          |

### LSP Performance & Refactoring

The Phase 2 update introduced the `LSPManager`, which maintains persistent language server instances:

- **35x Speedup**: Subsequent LSP calls are near-instant because the server no longer needs to re-initialize and re-index the codebase for every request
- **Code Refactoring**: New support for `lsp_extract_refactor` allows automated code extraction (e.g., extracting a method or variable) with full symbol resolution
- **Code Actions**: `lsp_code_action_resolve` enables complex, multi-step refactoring workflows with automatic fixes for diagnostics

### Semantic Code Search

Natural language code search powered by embeddings. Find code by meaning, not just keywords.

**Prerequisites:**

```bash
# Install Ollama (default provider - free, local)
brew install ollama

# Pull the recommended lightweight embedding model (274MB)
ollama pull nomic-embed-text

# Or for better accuracy (670MB, slower):
ollama pull mxbai-embed-large
```

**Recommended model:** `nomic-embed-text` is lightweight (274MB), fast, and works great for code search. It's the best choice for most users, especially on space-constrained systems like MacBooks.

**Workflow:**

```bash
# STEP 1: Initial indexing (REQUIRED - run once per project)
semantic_index(project_path=".", provider="ollama")

# STEP 2: Enable auto-updates (OPTIONAL - recommended for active projects)
start_file_watcher(".", provider="ollama", debounce_seconds=2.0)

# STEP 3: Search your codebase with natural language
semantic_search(query="OAuth authentication logic", n_results=5)
semantic_stats()  # View index statistics

# STEP 4: Stop watching when done (optional - watcher cleans up on exit)
stop_file_watcher(".")
```

**โš ๏ธ Important:** You MUST run `semantic_index()` first before using semantic search or starting the FileWatcher. If you skip this step:
- `semantic_search()` will return no results
- `start_file_watcher()` will show a warning but still work (indexes on first file change)

**Example queries:**
- "find authentication logic"
- "error handling in API endpoints"
- "database connection pooling"

**Providers:**

| Provider | Model | Size | Cost | Setup |
|----------|-------|------|------|-------|
| `ollama` (default) | nomic-embed-text (recommended) | 274MB | Free/local | `ollama pull nomic-embed-text` |
| `ollama` | mxbai-embed-large (advanced) | 670MB | Free/local | `ollama pull mxbai-embed-large` |
| `gemini` | gemini-embedding-001 | N/A | OAuth/cloud | `stravinsky-auth login gemini` |
| `openai` | text-embedding-3-small | N/A | OAuth/cloud | `stravinsky-auth login openai` |

**Technical details:**
- **AST-aware chunking**: Python files split by functions/classes for better semantic boundaries
- **Persistent storage**: ChromaDB at `~/.stravinsky/vectordb/<project>_<provider>/`
- **Async parallel embeddings**: 10 concurrent for fast indexing
- **Automatic file watching**: Background reindexing on code changes with configurable debouncing (2s default)

## Native Subagents (9)

Configured in `.claude/agents/*.md`:

| Agent            | Purpose                                                               | Location |
| ---------------- | --------------------------------------------------------------------- | -------- |
| `stravinsky`     | Task orchestration with 32k extended thinking (Sonnet 4.5)            | .claude/agents/stravinsky.md |
| `research-lead`  | Research coordinator - spawns explore/dewey, synthesizes findings (Gemini Flash) | .claude/agents/research-lead.md |
| `implementation-lead` | Implementation coordinator - spawns frontend/debugger/reviewer (Haiku) | .claude/agents/implementation-lead.md |
| `explore`        | Codebase search and structural analysis (Gemini 3 Flash)              | .claude/agents/explore.md |
| `dewey`          | Documentation research and web search (Gemini 3 Flash)                | .claude/agents/dewey.md |
| `code-reviewer`  | Security, quality, and best practice analysis (Claude Sonnet)         | .claude/agents/code-reviewer.md |
| `debugger`       | Root cause analysis and fix strategies (Claude Sonnet)                | .claude/agents/debugger.md |
| `frontend`       | UI/UX implementation with creative generation (Gemini 3 Pro High)     | .claude/agents/frontend.md |
| `delphi`         | Strategic architecture advisor with 32k thinking (GPT-5.2 Medium)     | .claude/agents/delphi.md |

## Development

```bash
# Install in development mode
uv pip install -e .

# Run server
stravinsky
```

## Project Structure

```
stravinsky/
โ”œโ”€โ”€ .claude/                      # Claude Code configuration
โ”‚   โ”œโ”€โ”€ agents/                   # Native subagent configurations (7 agents)
โ”‚   โ”‚   โ”œโ”€โ”€ stravinsky.md         # Orchestrator (auto-delegated)
โ”‚   โ”‚   โ”œโ”€โ”€ explore.md            # Code search specialist
โ”‚   โ”‚   โ”œโ”€โ”€ dewey.md              # Documentation research
โ”‚   โ”‚   โ”œโ”€โ”€ code-reviewer.md      # Quality analysis
โ”‚   โ”‚   โ”œโ”€โ”€ debugger.md           # Root cause analysis
โ”‚   โ”‚   โ”œโ”€โ”€ frontend.md           # UI/UX specialist
โ”‚   โ”‚   โ”œโ”€โ”€ delphi.md             # Strategic advisor (GPT-5.2)
โ”‚   โ”‚   โ””โ”€โ”€ HOOKS.md              # Hook architecture guide
โ”‚   โ”œโ”€โ”€ commands/                 # Slash commands (skills)
โ”‚   โ”‚   โ”œโ”€โ”€ stravinsky.md         # /stravinsky orchestrator
โ”‚   โ”‚   โ”œโ”€โ”€ delphi.md             # /delphi strategic advisor
โ”‚   โ”‚   โ”œโ”€โ”€ dewey.md              # /dewey documentation research
โ”‚   โ”‚   โ”œโ”€โ”€ publish.md            # /publish PyPI release
โ”‚   โ”‚   โ”œโ”€โ”€ review.md             # /review code review
โ”‚   โ”‚   โ”œโ”€โ”€ verify.md             # /verify post-implementation
โ”‚   โ”‚   โ””โ”€โ”€ version.md            # /version diagnostic info
โ”‚   โ”œโ”€โ”€ hooks/                    # Native Claude Code hooks (11 hooks)
โ”‚   โ”‚   โ”œโ”€โ”€ stravinsky_mode.py    # PreToolUse delegation enforcer
โ”‚   โ”‚   โ”œโ”€โ”€ context.py            # UserPromptSubmit context injection
โ”‚   โ”‚   โ”œโ”€โ”€ todo_continuation.py  # UserPromptSubmit todo continuation
โ”‚   โ”‚   โ”œโ”€โ”€ truncator.py          # PostToolUse output truncation
โ”‚   โ”‚   โ”œโ”€โ”€ tool_messaging.py     # PostToolUse user messaging
โ”‚   โ”‚   โ”œโ”€โ”€ edit_recovery.py      # PostToolUse edit backup
โ”‚   โ”‚   โ”œโ”€โ”€ todo_delegation.py    # PostToolUse parallel reminder
โ”‚   โ”‚   โ”œโ”€โ”€ parallel_execution.py # PostToolUse parallel enforcement
โ”‚   โ”‚   โ”œโ”€โ”€ notification_hook.py  # PreToolUse agent spawn notifications
โ”‚   โ”‚   โ”œโ”€โ”€ subagent_stop.py      # PostToolUse agent completion handling
โ”‚   โ”‚   โ””โ”€โ”€ pre_compact.py        # PreCompact context preservation
โ”‚   โ”œโ”€โ”€ skills/                   # Skill library (empty, skills in commands/)
โ”‚   โ”œโ”€โ”€ settings.json             # Hook configuration
โ”‚   โ””โ”€โ”€ HOOKS_INTEGRATION.md      # Hook integration guide
โ”œโ”€โ”€ mcp_bridge/                   # Python MCP server
โ”‚   โ”œโ”€โ”€ server.py                 # MCP server entry point
โ”‚   โ”œโ”€โ”€ server_tools.py           # Tool definitions
โ”‚   โ”œโ”€โ”€ auth/                     # OAuth authentication
โ”‚   โ”‚   โ”œโ”€โ”€ oauth.py              # Google OAuth (Gemini)
โ”‚   โ”‚   โ”œโ”€โ”€ openai_oauth.py       # OpenAI OAuth (ChatGPT)
โ”‚   โ”‚   โ”œโ”€โ”€ token_store.py        # Keyring storage
โ”‚   โ”‚   โ”œโ”€โ”€ token_refresh.py      # Auto-refresh tokens
โ”‚   โ”‚   โ””โ”€โ”€ cli.py                # stravinsky-auth CLI
โ”‚   โ”œโ”€โ”€ tools/                    # MCP tool implementations
โ”‚   โ”‚   โ”œโ”€โ”€ model_invoke.py       # invoke_gemini, invoke_openai
โ”‚   โ”‚   โ”œโ”€โ”€ agent_manager.py      # agent_spawn, agent_output, etc.
โ”‚   โ”‚   โ”œโ”€โ”€ code_search.py        # ast_grep, grep, glob
โ”‚   โ”‚   โ”œโ”€โ”€ semantic_search.py    # semantic_search, semantic_index, semantic_stats
โ”‚   โ”‚   โ”œโ”€โ”€ session_manager.py    # session_list, session_read, etc.
โ”‚   โ”‚   โ”œโ”€โ”€ skill_loader.py       # skill_list, skill_get
โ”‚   โ”‚   โ”œโ”€โ”€ project_context.py    # get_project_context
โ”‚   โ”‚   โ”œโ”€โ”€ lsp/                  # LSP tool implementations
โ”‚   โ”‚   โ””โ”€โ”€ templates.py          # Project templates
โ”‚   โ”œโ”€โ”€ prompts/                  # Agent system prompts (legacy CLI)
โ”‚   โ”‚   โ”œโ”€โ”€ stravinsky.py         # Legacy orchestrator prompt
โ”‚   โ”‚   โ”œโ”€โ”€ delphi.py             # Legacy advisor prompt
โ”‚   โ”‚   โ”œโ”€โ”€ dewey.py              # Legacy research prompt
โ”‚   โ”‚   โ”œโ”€โ”€ explore.py            # Legacy search prompt
โ”‚   โ”‚   โ”œโ”€โ”€ frontend.py           # Legacy UI/UX prompt
โ”‚   โ”‚   โ””โ”€โ”€ multimodal.py         # Multimodal analysis prompt
โ”‚   โ”œโ”€โ”€ hooks/                    # MCP internal hooks (17+ hooks)
โ”‚   โ”‚   โ”œโ”€โ”€ manager.py            # Hook orchestration
โ”‚   โ”‚   โ”œโ”€โ”€ truncator.py          # Output truncation
โ”‚   โ”‚   โ”œโ”€โ”€ parallel_enforcer.py  # Parallel execution
โ”‚   โ”‚   โ”œโ”€โ”€ todo_enforcer.py      # Todo continuation
โ”‚   โ”‚   โ””โ”€โ”€ ...                   # 13+ more optimization hooks
โ”‚   โ”œโ”€โ”€ native_hooks/             # Native Claude Code hooks
โ”‚   โ”‚   โ”œโ”€โ”€ stravinsky_mode.py    # PreToolUse delegation enforcer
โ”‚   โ”‚   โ”œโ”€โ”€ tool_messaging.py     # PostToolUse user messaging
โ”‚   โ”‚   โ”œโ”€โ”€ todo_delegation.py    # TodoWrite parallel reminder
โ”‚   โ”‚   โ”œโ”€โ”€ todo_continuation.py  # UserPromptSubmit todo injection
โ”‚   โ”‚   โ”œโ”€โ”€ context.py            # UserPromptSubmit context
โ”‚   โ”‚   โ”œโ”€โ”€ truncator.py          # PostToolUse truncation
โ”‚   โ”‚   โ””โ”€โ”€ edit_recovery.py      # PostToolUse backup
โ”‚   โ”œโ”€โ”€ cli/                      # CLI utilities
โ”‚   โ”‚   โ””โ”€โ”€ session_report.py     # Session analysis
โ”‚   โ”œโ”€โ”€ config/                   # Configuration
โ”‚   โ”‚   โ””โ”€โ”€ hooks.py              # Hook configuration
โ”‚   โ””โ”€โ”€ utils/                    # Utility functions
โ”œโ”€โ”€ .stravinsky/                  # Agent execution logs (gitignored)
โ”œโ”€โ”€ assets/                       # Logo, images
โ”œโ”€โ”€ docs/                         # Additional documentation
โ”œโ”€โ”€ logs/                         # Application logs
โ”œโ”€โ”€ tests/                        # Test suite
โ”œโ”€โ”€ pyproject.toml                # Build configuration
โ”œโ”€โ”€ uv.lock                       # Dependency lock
โ”œโ”€โ”€ ARCHITECTURE.md               # Architecture guide (oh-my-opencode comparison)
โ”œโ”€โ”€ CLAUDE.md                     # Project instructions
โ”œโ”€โ”€ INSTALL.md                    # Installation guide
โ””โ”€โ”€ 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

### Claude Code Not Loading Latest Version After Update

**Problem:** After deploying a new version to PyPI, Claude Code still uses the old cached version even after restart.

**Root Cause:** `uvx` caches packages and doesn't automatically check for updates. This is a known uvx behavior that affects all packages, not just Stravinsky.

**Solution - Force Reinstall:**

```bash
# Option 1: Run latest version with uvx (if using uvx in .mcp.json)
uvx stravinsky@latest

# Option 2: Upgrade with uv tool (if installed globally)
uv tool install --upgrade --force stravinsky
# or reinstall all tools:
uv tool upgrade --all --reinstall

# Option 3: Clear uvx cache entirely (nuclear option)
uv cache prune

# Option 4: Remove and re-add MCP server
claude mcp remove stravinsky
claude mcp add stravinsky -- uvx stravinsky@latest

# After any option, restart Claude Code
claude restart
```

**Verify Version:**

```bash
# Check installed version
stravinsky --version
# or
python -c "import mcp_bridge; print(mcp_bridge.__version__)"

# Check PyPI latest version
curl -s https://pypi.org/pypi/stravinsky/json | python -c "import sys, json; print(json.load(sys.stdin)['info']['version'])"
```

## License

MIT

---

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