An MCP-native workflow engine that teaches your agent how you like to get things done.
Progi MCP server exists for a simple reason — assistants are far more useful when they can act on Progi directly instead of describing what you should do. An MCP-native workflow engine that teaches your agent how you like to get things done.
Progi teaches your agent how you like to get things done. So you can do your best work without re-explaining your process or losing context between sessions.
The server ships on PyPI as progi, so your MCP client can launch it on demand — there is no separate build step. Add the server block to your client's configuration, restart it, and the tools register themselves.
You will need 3 environment variables: PROGI_WEB_PORT, PROGI_DB_PATH, PROGI_WEB_HOST. Keep credentials in your client's env block or a secrets manager rather than in a file you might commit.
This sits in the developer tooling group, where several servers overlap in what they claim to do but differ sharply once you actually set them up.
This entry was verified against Progi's own documentation before publication; SyncDev keeps the directory reviewed rather than auto-generated.
{
"mcpServers": {
"progi": {
"command": "uvx",
"args": ["progi"]
}
}
}Configuration as documented by the project. Restart the client after saving.
| Variable | Description | Required |
|---|---|---|
| PROGI_WEB_PORT | Configuration value read at startup. | Optional |
| PROGI_DB_PATH | Filesystem location the server is allowed to use. | Optional |
| PROGI_WEB_HOST | Endpoint or connection string the server talks to. | Optional |
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