https://github.com/timrogers/formanator
Submit Forma (https://joinforma.com) claims from the command line 🤖
https://github.com/timrogers/formanator
cli forma
Last synced: 2 months ago
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Submit Forma (https://joinforma.com) claims from the command line 🤖
- Host: GitHub
- URL: https://github.com/timrogers/formanator
- Owner: timrogers
- License: mit
- Created: 2023-07-29T17:19:43.000Z (almost 3 years ago)
- Default Branch: main
- Last Pushed: 2025-08-28T22:08:37.000Z (10 months ago)
- Last Synced: 2025-08-29T01:12:11.183Z (10 months ago)
- Topics: cli, forma
- Language: TypeScript
- Homepage:
- Size: 1010 KB
- Stars: 66
- Watchers: 2
- Forks: 10
- Open Issues: 8
-
Metadata Files:
- Readme: README.md
- Funding: .github/FUNDING.yml
- License: LICENSE.md
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README
# Formanator 🤖
> [!NOTE]
> 🦀 Formanator is now built with Rust and distributed through Homebrew and Crates.io! [v2.x](https://github.com/timrogers/formanator/releases/tag/v2.2.0), built in TypeScript and distributed through npm, is [still available](https://github.com/timrogers/formanator/releases/tag/v2.2.0).
Formanator allows you to:
* **Submit benefit claims to [Forma](https://www.joinforma.com/) and track progress from the command line**, either one-by-one or in bulk
* **Understand your Forma benefits and track and submit claims from any Model Context Protocol (MCP) client**, for example [Copilot CLI](https://github.com/features/copilot/cli), [Visual Studio Code](https://code.visualstudio.com/) or [Claude Code](https://code.claude.com/docs/en/overview)
With the power of large language models 🧠👀 - free of charge thanks to [GitHub Models](https://docs.github.com/en/github-models/use-github-models/prototyping-with-ai-models) - it can even **analyse your receipts and generate your claims automatically**.
## Installation
### macOS or Linux via [Homebrew](https://brew.sh/)
```bash
brew tap timrogers/tap && brew install formanator
```
### macOS, Linux, or Windows via [Cargo](https://doc.rust-lang.org/cargo/), Rust's package manager
1. Install [Rust](https://www.rust-lang.org/tools/install) on your machine, if it isn't already installed.
1. Install the `formanator` crate by running `cargo install formanator`.
1. Run `formanator --help` to check that everything is working and see the available commands.
### macOS, Linux, or Windows via direct binary download
1. Download the [latest release](https://github.com/timrogers/formanator/releases/latest) for your platform. macOS, Linux, and Windows devices are supported.
1. Add the binary to your `PATH` (or `$PATH` on Unix-like systems), so you can execute it from your shell/terminal. For the best experience, call it `formanator` (or `formanator.exe` on Windows).
1. Run `formanator --help` to check that everything is working.
### From source
```bash
git clone https://github.com/timrogers/formanator
cd formanator
cargo install --path .
```
### Optional: PDF receipt support
To infer claim details for PDF receipts, you need to have [GraphicsMagick](http://www.graphicsmagick.org/) and [Ghostscript](https://www.ghostscript.com/) installed.
```bash
# macOS
brew install graphicsmagick ghostscript
```
## Usage
### Connecting to your Forma account
To get started, you'll need to connect Formanator to your Forma account:
1. Run `formanator login`.
2. Press Enter to open your browser to the Forma login page.
3. Enter your email address and request a magic link.
4. Copy the magic link from your email and paste it into the terminal.
5. You're logged in 🥳
The access token is stored in `~/.formanatorrc.json` (the same location used by the original Node.js implementation, so the two clients can share state).
### Configuring an LLM provider (optional, but recommended)
When submitting a claim you can either provide every detail manually or let an LLM infer them. Two providers are supported:
- **GitHub Models** — free, with a generous quota. Set the `GITHUB_TOKEN` environment variable to a GitHub Personal Access Token with **read access to GitHub Models**, or pass `--github-token`.
- **OpenAI** — billed to your OpenAI account. Set the `OPENAI_API_KEY` environment variable, or pass `--openai-api-key`.
If both are configured, Formanator prefers OpenAI.
### Submitting claims in bulk
#### Automatically submitting all receipts in a directory (recommended)
```bash
formanator submit-claims-from-directory --directory input/
```
All `.jpg`, `.jpeg`, `.png`, `.pdf` and `.heic` receipts in the directory will be analysed by the LLM. You'll be asked to confirm the inferred claim details for each receipt before it's submitted, and successfully-submitted receipts are moved into a `processed/` subdirectory.
#### Manually submitting receipts using a CSV template
1. Generate a template: `formanator generate-template-csv` (writes `claims.csv`).
2. Fill in one row per claim. If you've configured an LLM, you can leave `benefit` and `category` blank to have them inferred from the other fields, or leave every column except `receiptPath` blank to have all claim details inferred from the receipt. Comma-separate paths in the `receiptPath` column to attach multiple receipts.
3. Optionally validate up-front: `formanator validate-csv --input-path claims.csv`.
4. Submit: `formanator submit-claims-from-csv --input-path claims.csv`.
### Submitting a single claim
#### Option 1: Infer all claim details from the receipt (recommended)
```bash
formanator submit-claim --receipt-path receipt.jpg
```
Formanator will ask the LLM to extract the amount, merchant, purchase date, description, benefit and category, show you the result and ask you to confirm before submitting.
#### Option 2: Provide details manually, infer benefit and category
```bash
formanator submit-claim \
--amount 2.28 \
--merchant Amazon \
--description "USB cable" \
--purchase-date 2024-01-15 \
--receipt-path USB.pdf
```
#### Option 3: Provide every detail manually
```bash
formanator submit-claim \
--amount 2.28 \
--merchant Amazon \
--description "USB cable" \
--purchase-date 2024-01-15 \
--receipt-path USB.pdf \
--benefit "Remote Life" \
--category "Cables & Cords"
```
Use `formanator benefits` and `formanator categories --benefit ` to discover the valid values.
### Listing claims
```bash
formanator list-claims
formanator list-claims --filter in_progress
```
## Model Context Protocol (MCP) usage
Formanator can run as an MCP server over stdio so AI assistants can interact with your Forma account programmatically.
```jsonc
{
"mcpServers": {
"formanator": {
"command": "/path/to/formanator",
"args": ["mcp"]
}
}
}
```
The server exposes three tools:
- `list_benefits_with_categories` — list all benefits with their categories and remaining balances.
- `list_claims` — list claims, with optional filtering (currently only `in_progress`).
- `create_claim` — create a new claim.
You must be logged in (`formanator login`) before starting the MCP server.
To build a binary without MCP support (smaller binary, fewer dependencies):
```bash
cargo install formanator --no-default-features
```
## Development
```bash
cargo build # build with default features (CLI + MCP)
cargo test --all-features
cargo clippy --all-features --all-targets -- -D warnings
cargo fmt --all
```