https://github.com/secretiveshell/pydantic-mcp-run-python-docker
Dockerfile for pydantic's mcp-run
https://github.com/secretiveshell/pydantic-mcp-run-python-docker
Last synced: 3 months ago
JSON representation
Dockerfile for pydantic's mcp-run
- Host: GitHub
- URL: https://github.com/secretiveshell/pydantic-mcp-run-python-docker
- Owner: SecretiveShell
- License: mit
- Created: 2025-05-08T18:56:44.000Z (12 months ago)
- Default Branch: master
- Last Pushed: 2025-05-08T19:08:56.000Z (12 months ago)
- Last Synced: 2025-06-06T23:59:26.001Z (11 months ago)
- Language: Dockerfile
- Size: 2.93 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# pydantic-mcp-run-python-docker
Dockerfile for [pydantic's mcp-run](https://github.com/pydantic/pydantic-ai/tree/main/mcp-run-python)
## Usage
Run the server:
```bash
docker compose up
```
This will expose the server on port `127.0.0.1:8000` on your host machine.
You can then connect to the server from your mcp client using the following URL:
```
http://127.0.0.1:8000/sse
```
I would suggest using [wong2/mcp-cli](https://github.com/wong2/mcp-cli) to connect to the server.
```bash
npx wong2/mcp-cli --sse http://127.0.0.1:8000/sse
```
## License
MIT