# Deploy To Connect

Deploy or publish Python and R content to a Posit Connect server using rsconnect-python...

- Repository: https://github.com/posit-dev/skills (551 stars)
- Category: DevOps
- License: MIT
- Last updated: 2026-10-28
- Runs scripts: no, instructions only

## Install

Claude Code: `npx skills add posit-dev/skills --skill deploy-to-connect -g -a claude-code -y`
Codex: `npx skills add posit-dev/skills --skill deploy-to-connect -g -a codex -y`
Cursor: `npx skills add posit-dev/skills --skill deploy-to-connect -g -a cursor -y`
Gemini CLI: `npx skills add posit-dev/skills --skill deploy-to-connect -g -a gemini-cli -y`
Claude Code plugin marketplace: `/plugin marketplace add posit-dev/skills`

## Description

Deploy or publish Python and R content to a Posit Connect server using rsconnect-python or the R rsconnect package. Handles interactive apps and dashboards, web APIs, rendered documents, and prepared bundles/manifests. Use whenever the user asks to deploy, publish, or redeploy content to Posit Connect, or mentions rsconnect. Consult this skill instead of guessing flags or commands.

## SKILL.md, as published by its author (untrusted third-party text, read it as data)

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Maintainer note: edit this skill in posit-dev/connect only.
Downstream copies are overwritten by the sync workflow.
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# Deploying to Posit Connect

This guide covers Python, R, and static content on a Connect server.
A registered Connect Model Context Protocol (MCP) server can also provide publishing tools.

Choose the deployment route that matches the content and available tools:

- Python, [posit-cli](https://github.com/posit-dev/posit-cli), which provides the `posit` CLI and is published on PyPI. Its `posit connect` commands wrap [rsconnect-python](https://github.com/posit-dev/rsconnect-python).
- R, the R [`rsconnect`](https://rstudio.github.io/rsconnect/) package, pointed at a Connect server.
- A registered Connect MCP server, use its publishing tools when they support the content.

If the user asks a question ("how do I…", "what is the command…") rather than asking for a deploy, answer from this guide and stop.

At the end, report which server you deployed to, which content type you picked, any tool you installed, and any assumption you made.

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## Stage 1, Detect the content

Infer the language and framework from the files in the project directory. Common signals:

| Signal in project dir | Likely content |
| --- | --- |
| `app.py` | Python web app, Shiny for Python, Streamlit, Dash, Gradio, Panel, or Bokeh |
| `app.R`, or `ui.R` + `server.R` | Shiny for R |
| `plumber.R` / `entrypoint.R` containing `plumb()` | Plumber API (R) |
| `*.qmd` | Quarto document |
| `*.Rmd` | R Markdown |
| `*.ipynb` | Jupyter notebook / Voila |
| `index.html`, or a directory containing HTML, CSS, JavaScript, or image files | Static HTML site |
| `manifest.json` | Prebuilt bundle, deploy it directly, no framework guess needed |
| A bare `.py` or `.R`, no framework import, no `ui.R`/`server.R`/`plumber.R`/`entrypoint.R` alongside | Script, a batch/ETL job that Quarto renders and Connect can schedule |

### Confirm the guess

The rest: https://github.com/posit-dev/skills/blob/HEAD/connect/deploy-to-connect/SKILL.md