What runtime does AppDog require?
AppDog is a Python package installable via `uv add appdog` and supports Python 3.8+ (as shown on PyPI).
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基本信息
Compose and generate effortlessly MCP servers from any OpenAPI specifications
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AppDog is a Python package that automatically generates fully typed async API clients and ready-to-use MCP (Model Context Protocol) servers from any OpenAPI specification. It simplifies working with OpenAPI-based APIs and managing multiple API clients in a single project with version locking.
Install with uv add appdog, then use the CLI: initialize a project with appdog init, add an API client with appdog add NAME --uri URI, list clients with appdog list, show details with appdog show, and generate an MCP server with appdog mcp install. Generated clients are imported directly (e.g., import appdog.petstore) and can be used with async context managers.
AppDog is a Python package installable via `uv add appdog` and supports Python 3.8+ (as shown on PyPI).
AppDog supports both `stdio` and `sse` transports, selectable with `--transport` when running `appdog mcp run`.
Yes. Claude Desktop does not yet handle resource templates (resources with parameters). Windows users must manually edit the generated Claude configuration for MCP install (see related issue).
Project settings and API client specifications are stored in an `apps.yaml` file, with a lock file `apps.lock` containing specs and hashes.
Credentials are configured via environment variables in the format `APPDOG_<CLIENT_NAME>_TOKEN` or `APPDOG_<CLIENT_NAME>_API_KEY`.
Open-source MCP to use Blender with any LLM

Model Context Protocol Servers

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