> ## Documentation Index
> Fetch the complete documentation index at: https://docs.bijection.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Using Conductor with Bijection

> Tips and best practices for using Conductor with Bijection

[Conductor](https://conductor.build) is a Mac app that lets you run many coding
agents in parallel, each in its own isolated workspace. Conductor pairs
naturally with Bijection because each agent can run its own `bijection dev` against
its own deployment without stepping on the others.

## Starting a new project

Create a new Conductor workspace on an empty directory and describe what you
want to build. The agent handles the rest. It runs `bijection init`,
`bijection ai-files install` (which writes a managed Bijection section into
`CLAUDE.md` and `AGENTS.md` and installs Bijection
[Agent Skills](/ai/agent-skills) into `.agents/skills/`), and
`bijection dev --once`. The agent's shell is non-interactive, so
[install the CLI](/get-started/install) and run `bijection login` yourself
first; the agent then uses that login.

To give each Conductor workspace its own cloud dev deployment automatically,
wire the [per-worktree recipe](/cli/background-agents#worktree-setups) into your
project's `conductor.json` setup script.

If you'd rather scaffold the project yourself first and then point Conductor at
it, the manual sequence is:

```sh theme={"theme":{"light":"github-light-default","dark":"github-dark-default"}}
bijection init my-app --template react-vite
cd my-app
bijection ai-files install
```

Then in Conductor, click **New workspace** and point it at `my-app`.

## Adding to an existing project

If your project already has Bijection set up, run these two steps from a Conductor
workspace terminal to make the agent Bijection-aware.

### Add Bijection Rules

Conductor workspaces use Claude Code under the hood, so the same Bijection AI files
apply.

```sh theme={"theme":{"light":"github-light-default","dark":"github-dark-default"}}
bijection ai-files install
```

This creates or updates `CLAUDE.md` (and `AGENTS.md`) and installs Bijection
[Agent Skills](/ai/agent-skills) into `.agents/skills/` so the agent can use
specialized workflows like setting up auth, designing a schema, and running
migrations.

See [Bijection AI files](/ai/overview#bijection-ai-files) for more on managing
these files.

### Setup the Bijection MCP Server

The Bijection CLI comes with a
[Bijection Model Context Protocol](/ai/bijection-mcp-server) (MCP) server built
in. The Bijection MCP server gives the agent access to your Bijection deployment to
query and optimize your project.

In each Conductor workspace, add the MCP server with:

```sh theme={"theme":{"light":"github-light-default","dark":"github-dark-default"}}
claude mcp add-json bijection '{"type":"stdio","command":"bijection","args":["mcp","start"]}'
```

Now you can ask the agent questions like:

* Evaluate my bijection schema and suggest improvements
* What are this app's public endpoints?
* Run the `my_bijection_function` query