Versions: * arcade-mcp\==1.0.0rc1 * arcade-mcp-server\==1.0.0rc1 * arcade-core\==2.5.0rc1 * arcade-tdk\==2.6.0rc1 * arcade-serve\==2.2.0rc1 ### Summary Adds first-class MCP support across Arcade, introduces a new MCP server and CLI, unifies the project under the arcade-mcp name, overhauls templates/scaffolding, and improves developer tooling, secrets management, and examples. ### Highlights - **MCP Server & Core** - New MCP server with stdio and HTTP/SSE transports, session management, resumability, and lifecycle handling. - FastAPI-like `MCPApp` for building servers with lazy init; integrated worker+MCP HTTP app option. - Middleware system (logging and error handling), robust exception hierarchy, and Pydantic-based settings. - Async-safe managers for tools, resources, and prompts backed by registries and locks. - Developer-facing, transport-agnostic runtime context interfaces (logs, tools, prompts, resources, sampling, UI, notifications). - Conversion from Arcade ToolDefinition to MCP tool schema; OpenAI JSON tool schema converter. - Parser supports `@app.tool`/`@app.tool(...)` decorators. - **CLI** - New `mcp` command to run MCP servers with stdio or HTTP/SSE. - New `secret` command to set/list/unset tool secrets (supports .env input, preserves original casing for lookups). - `new` command refactored; option to create a full toolkit package with scaffolding. - `chat` command removed. - `serve.py` imports updated to `arcade_serve.fastapi.telemetry`; version retrieval now uses `arcade-mcp`. - `show.py` refactor to use new local catalog utilities. - `display_tool_details` improved: adds “Default” column and handles nested properties. - **Configuration & Discovery** - New `configure.py` to set up Claude Desktop, Cursor, and VS Code to connect to local or Arcade Cloud MCP servers. - Discovery utilities to find/install toolkits, build `ToolCatalog`s, analyze files for tools, load kits from directories (pyproject parsing), and build minimal toolkits. - Better handling of provider API key resolution and evaluation suite loading. - **Templates & Scaffolding** - Reorganized template structure (minimal vs full); moved `.pre-commit-config.yaml`, `.ruff.toml`, license, Makefile, README, tests, and tools layout to correct paths. - Minimal template adds `.env.example` for runtime secret injection. - Template pyproject updated for MCP servers; includes sample server with greeting and secret-reveal tools. - Authorization flow in templates simplified. - **Repo-wide Renaming & Examples** - Migrates references from `arcade-ai` to `arcade-mcp` across READMEs, scripts, and package metadata. - Examples updated (LangChain/LangGraph/AI SDK/TypeScript) and package name changed to `arcade-mcp-sdk`. - **Evals & Core Utilities** - Evals now use OpenAI tooling format (`OpenAIToolList`, `to_openai`); `tool_eval` takes `provider_api_key`. - Core utilities: fixed `does_function_return_value` by dedenting before parse; version bump to `2.5.0rc1` and dependency cleanup. - **Tooling & CI** - `setup-uv-env` action splits toolkit vs contrib dependency installation. - Pre-commit: excludes `libs/arcade-mcp-server/mkdocs.yml` and `libs/tests/` from YAML and Ruff hooks; Ruff per-file ignores (e.g., C901 in `libs/**/*.py`, TRY400 in server docs paths). - Makefile updates for uv env setup, quality checks, tests, builds, and new `shell` target. - Added Makefile to MCP server library to streamline dev workflow. - **Cleanup** - Removed `claude.json` config. - Simplified stdio entrypoint; removed unused imports (`arcade_gmail`, `arcade_search`). ### Breaking Changes - **CLI**: `chat` command removed; use `mcp`, `secret`, and updated `new`. - **Naming**: All users should update references from `arcade-ai` to `arcade-mcp`. - **Templates**: File paths moved; downstream scripts referencing old template locations may need updates. ### Getting Started - Run an MCP server: - `arcade mcp --stdio --toolkits your_toolkit` - `arcade mcp --http --toolkits your_toolkit` - Manage secrets: - `arcade secret set your_toolkit KEY=value` - `arcade secret list your_toolkit` - `arcade secret unset your_toolkit KEY` - Configure clients: - `arcade configure` to set up Claude Desktop, Cursor, and VS Code for local/Arcade Cloud MCP. --------- Co-authored-by: Sam Partee <sam@arcade-ai.com> Co-authored-by: Shub <125150494+shubcodes@users.noreply.github.com>
189 lines
4.1 KiB
Markdown
189 lines
4.1 KiB
Markdown
# Transport Modes
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MCP servers can communicate with clients through different transport mechanisms. Each transport is optimized for specific use cases and client types.
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## stdio Transport
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The stdio (standard input/output) transport is used for direct client connections.
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### Characteristics
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- Communicates via standard input/output streams
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- Logs go to stderr to avoid interfering with protocol messages
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- Ideal for desktop applications and command-line tools
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- Used by Claude Desktop and similar clients
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### Usage
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```bash
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# Run with stdio transport
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python -m arcade_mcp_server stdio
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# Or with MCPApp
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app.run(transport="stdio")
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```
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### Client Configuration
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For Claude Desktop, configure in `~/Library/Application Support/Claude/claude_desktop_config.json`:
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```json
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{
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"mcpServers": {
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"my-tools": {
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"command": "python",
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"args": ["-m", "arcade_mcp_server", "stdio"],
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"cwd": "/path/to/your/tools"
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}
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}
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}
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```
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## HTTP Transport
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The HTTP transport provides REST/SSE endpoints for web-based clients.
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### Characteristics
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- RESTful API with Server-Sent Events (SSE) for streaming
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- Supports hot reload for development
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- Includes health checks and API documentation
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- Can be deployed behind reverse proxies
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- Suitable for web applications and services
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### Usage
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```bash
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# Run with HTTP transport (default)
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python -m arcade_mcp_server
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# With specific host and port
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python -m arcade_mcp_server --host 0.0.0.0 --port 8080
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# Or with MCPApp
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app.run(transport="http", host="0.0.0.0", port=8080)
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```
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### Endpoints
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When running in HTTP mode, the server provides:
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- `GET /health` - Health check endpoint
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- `GET /mcp` - SSE endpoint for MCP protocol
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- `GET /docs` - Swagger UI documentation (debug mode)
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- `GET /redoc` - ReDoc documentation (debug mode)
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### Development Features
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```bash
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# Enable hot reload and debug mode
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python -m arcade_mcp_server --reload --debug
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# This enables:
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# - Automatic restart on code changes
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# - Detailed error messages
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# - API documentation endpoints
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# - Verbose logging
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```
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## Choosing a Transport
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### Use stdio when:
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- Integrating with desktop applications (Claude Desktop, VS Code)
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- Building command-line tools
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- You need simple, direct communication
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- Running in environments without network access
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### Use HTTP when:
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- Building web applications
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- Deploying to cloud environments
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- You need to support multiple concurrent clients
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- Integrating with existing web services
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- You want API documentation and testing tools
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## Transport Configuration
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### Environment Variables
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Both transports respect common environment variables:
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```bash
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# Server identification
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MCP_SERVER_NAME="My MCP Server"
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MCP_SERVER_VERSION="1.0.0"
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# Logging
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MCP_DEBUG=true
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MCP_LOG_LEVEL=DEBUG
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# HTTP-specific
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MCP_HTTP_HOST=0.0.0.0
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MCP_HTTP_PORT=8080
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```
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### Programmatic Configuration
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When using MCPApp:
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```python
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from arcade_mcp_server import MCPApp
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app = MCPApp(
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name="my-server",
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version="1.0.0",
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log_level="DEBUG"
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)
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# Run with specific transport
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if __name__ == "__main__":
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import sys
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if len(sys.argv) > 1 and sys.argv[1] == "stdio":
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app.run(transport="stdio")
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else:
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app.run(transport="http", host="0.0.0.0", port=8080)
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```
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## Security Considerations
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### stdio Transport
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- Inherits security context of the parent process
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- No network exposure
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- Suitable for trusted environments
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### HTTP Transport
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- Exposes network endpoints
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- Should use authentication in production
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- Consider using HTTPS with reverse proxy
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- Implement rate limiting for public deployments
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## Advanced Transport Features
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### Custom Middleware (HTTP)
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Add custom middleware to HTTP transports:
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```python
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from arcade_mcp_server import MCPApp
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app = MCPApp(name="my-server")
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# Add custom middleware
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@app.middleware("http")
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async def add_custom_headers(request, call_next):
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response = await call_next(request)
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response.headers["X-Custom-Header"] = "value"
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return response
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```
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### Transport Events
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Listen to transport lifecycle events:
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```python
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@app.on_event("startup")
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async def startup_handler():
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print("Server starting up...")
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@app.on_event("shutdown")
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async def shutdown_handler():
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print("Server shutting down...")
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```
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