@ffmpeg-micro/mcp-server
# @ffmpeg-micro/mcp-server
[](https://www.npmjs.com/package/@ffmpeg-micro/mcp-server)
[](https://github.com/javidjamae/ffmpeg-micro-mcp/actions/workflows/ci.yml)
[](./LICENSE)
A [Model Context Protocol](https://modelcontextprotocol.io) server that lets AI agents — Claude Code, Claude Desktop, Cursor, Windsurf, VS Code, and any other MCP-compatible client — create, monitor, and download video transcodes through the [FFmpeg Micro](https://ffmpeg-micro.com) REST API.
## What it does
Exposes tools that map onto FFmpeg Micro's public API:
| Tool | What it does |
| --- | --- |
| `transcode_video` | Create a transcode job from one or more input videos (`gs://` or `https://`). Supports quality/resolution presets and raw FFmpeg options. |
| `get_transcode` | Fetch the current state of a single job. |
| `list_transcodes` | List jobs with optional `status`, `page`, `limit`, `since`, `until` filters. |
| `cancel_transcode` | Cancel a pending or processing job. |
| `get_download_url` | Generate a 10-minute signed HTTPS URL for a completed job's output file. |
| `transcode_and_wait` | Convenience: create a job, poll until it finishes, return the signed download URL in one call. |
| `request_upload_url` | Step 1 of the direct-upload flow. Returns a presigned HTTPS URL that the host PUTs the file bytes to. |
| `confirm_upload` | Step 2 of the direct-upload flow. Returns the final `gs://` URL plus probe metadata, ready to use as a transcode/transcribe input. |
| `run_blueprint` | Start a blueprint run — a pre-built video workflow (captioning, resizing, watermarking, ads, and more). |
| `get_blueprint_run` | Fetch a blueprint run's status, step, and output URLs (multi-output blueprints return labeled `outputs`). |
| `run_blueprint_and_wait` | Convenience: start a blueprint run and poll until it completes, fails, or pauses for transcript review. |
| `continue_blueprint_run` | Resume a `caption-video` run paused in `awaiting_review` by submitting the approved SRT transcript. |
### Blueprints
Blueprints are pre-built workflows behind `POST /v1/blueprints/{slug}/runs`. The tool descriptions document each blueprint's input fields. Notes:
- Most blueprints run on the FFmpeg lane and meter plan compute minutes (no tokens). Generative blueprints (`product-ad`) charge tokens; a `402 insufficient_tokens` response means the account needs a token pack ([dashboard](https://www.ffmpeg-micro.com/dashboard/blueprints)).
- `caption-video` pauses in `awaiting_review` with the transcript (`srt_text`) so the agent can review/edit before rendering; resume with `continue_blueprint_run`.
- Multi-output blueprints (`listing-kit`, `hook-variants`) return an `outputs` array of `{label, url}` — prefer it over `output_url` when present.
- Output URLs are signed with a 10-minute TTL; re-fetch the run for fresh links.
### Uploading a local file
The `request_upload_url` + `confirm_upload` pair lets an MCP host upload a local file to the FFmpeg Micro storage bucket without dealing with raw API keys or `gs://` URLs:
1. Host calls `request_upload_url` with `{filename, contentType, fileSize}` → receives a short-lived presigned HTTPS URL.
2. Host PUTs the file bytes to that URL with the same `Content-Type`.
3. Host calls `confirm_upload` with `{filename: <storage filename from step 1>, fileSize}` → receives the final `gs://...` `fileUrl`.
4. Host passes that `fileUrl` to `transcribe_audio` / `transcode_video` / `transcode_and_wait`.
## Quick start
Add this to your project's `.mcp.json` (or your MCP client's config):
```json
{
"mcpServers": {
"ffmpeg-micro": {
"type": "http",
"url": "https://mcp.ffmpeg-micro.com"
}
}
}
```
That's it. The first time your AI tool connects, it will open a browser window for you to sign in with your [FFmpeg Micro](https://ffmpeg-micro.com) account via OAuth. After you approve, the token is cached and you won't be asked again.
No API keys to copy, no environment variables to set.
## Authentication
### OAuth (recommended)
The MCP server supports OAuth 2.1 with PKCE and dynamic client registration. Your MCP client handles the entire flow automatically:
1. Client discovers OAuth endpoints via `/.well-known/oauth-authorization-server`
2. Client registers itself dynamically
3. Browser opens for you to sign in and approve access
4. Token is exchanged and cached — subsequent connections are instant
This is the default when you use the config above with no `headers` or `env` block.
### API key (alternative)
If you prefer to use an API key directly (e.g., for automation or CI), you can pass it as a Bearer token:
```json
{
"mcpServers": {
"ffmpeg-micro": {
"type": "http",
"url": "https://mcp.ffmpeg-micro.com",
"headers": {
"Authorization": "Bearer your_api_key_here"
}
}
}
}
```
Get your API key from the [dashboard](https://www.ffmpeg-micro.com/dashboard/api-keys).
### stdio (local install)
Runs the server as a local process using `npx`. Requires Node.js 22.14 or later.
```json
{
"mcpServers": {
"ffmpeg-micro": {
"command": "npx",
"args": ["-y", "@ffmpeg-micro/mcp-server"],
"env": {
"FFMPEG_MICRO_API_KEY": "your_api_key_here"
}
}
}
}
```
`npx -y` fetches the latest version each time. Any MCP client that supports stdio servers works with this config.
## Compatible tools
The HTTP config (OAuth) works with any MCP client that supports streamable HTTP transport:
- **Claude Code** (CLI)
- **Claude Desktop**
- **Cursor**
- **Windsurf**
- **VS Code** (GitHub Copilot MCP)
The stdio config works with any MCP client that supports stdio transport.
## Example prompts
Once connected, you can ask things like:
- "Transcode this video to 720p MP4 and give me the download URL when it's done."
- "Crop this landscape video to a square."
- "Add a text overlay saying 'Episode 12' to my video."
- "List my failed jobs from this week."
- "Cancel job `b5f5a9c0-9e33-4e77-8a5b-6a0c2cd9c0b3`."
## Development
```bash
git clone https://github.com/javidjamae/ffmpeg-micro-mcp.git
cd ffmpeg-micro-mcp
./scripts/setup.sh
```
`setup.sh` installs dependencies, builds, and wires up the git hooks.
Point your MCP client at the local build to iterate:
```json
{
"mcpServers": {
"ffmpeg-micro-dev": {
"command": "node",
"args": ["/absolute/path/to/ffmpeg-micro-mcp/dist/index.js"],
"env": { "FFMPEG_MICRO_API_KEY": "…" }
}
}
}
```
The [MCP Inspector](https://github.com/modelcontextprotocol/inspector) is the fastest way to iterate on tool schemas and responses:
```bash
npx @modelcontextprotocol/inspector node dist/index.js
```
To run the HTTP server locally against a local API gateway:
```bash
FFMPEG_MICRO_API_URL=http://localhost:8081 npm run serve
```
### Running integration tests locally
```bash
FFMPEG_MICRO_API_KEY=your_key npm run test:integration
```
Integration tests hit the real FFmpeg Micro production API. They are read-only (no jobs are created).
### Smoke-testing the upload tools end-to-end
Unit tests use a mocked `fetch`, so they prove tool registration + Zod schemas + URL paths but not that the wire shapes match what the gateway actually returns. Two smoke scripts exercise the full `request_upload_url` → PUT → `confirm_upload` flow against a real MCP server using a real API key. Run them in order — stdio first (fastest signal), then a deployed HTTP server before/after merge:
```bash
# 1. stdio (local dist build) — spawns dist/index.js as a subprocess
npm run build
FFMPEG_MICRO_API_KEY=your_key node scripts/smoke-upload-stdio.mjs <local-file>
# 2. HTTP (any deployed server — local `npm run serve`, Vercel preview, or prod)
FFMPEG_MICRO_API_KEY=your_key MCP_URL=https://mcp.ffmpeg-micro.com/ \
node scripts/smoke-upload-http.mjs <local-file>
```
Both scripts hit the production API by default and consume billable minutes (the stdio script chains into `transcribe_audio` for an end-to-end check). Pass a small file like `15-second.mp3` to keep the cost negligible.
A third script smoke-tests the blueprint tools (`run_blueprint` + `get_blueprint_run` polled to completion on `resize-format`, then `run_blueprint_and_wait` on `hook-variants` to exercise multi-output). It uses FFmpeg-lane blueprints only, so it consumes plan compute minutes but no tokens:
```bash
npm run build
FFMPEG_MICRO_API_KEY=your_key node scripts/smoke-blueprints-stdio.mjs
```
#### Hitting protection-protected Vercel previews
Vercel preview deployments are gated by Deployment Protection by default. To exercise the HTTP smoke script against a preview URL, generate a Protection-Bypass-for-Automation token in the project's Vercel settings and pass it via `VERCEL_BYPASS`:
```bash
FFMPEG_MICRO_API_KEY=your_key \
MCP_URL=https://your-preview.vercel.app/ \
VERCEL_BYPASS=your_bypass_token \
node scripts/smoke-upload-http.mjs <local-file>
```
The script sends the token as the `x-vercel-protection-bypass` header on every request. **It does not** send `x-vercel-set-bypass-cookie: true` — that variant triggers a 307 cookie-setting redirect on POST that the MCP SDK's `StreamableHTTPClientTransport` does not follow, so the request fails. The header alone returns 200 directly without the redirect dance.
## Release process
Releases are published to [npm](https://www.npmjs.com/package/@ffmpeg-micro/mcp-server) via [trusted publishing](https://docs.npmjs.com/trusted-publishers/) and to the [MCP Registry](https://registry.modelcontextprotocol.io) as `com.ffmpeg-micro/mcp-server`, authenticated via an Ed25519 DNS TXT record on `ffmpeg-micro.com`. The corresponding private key lives in the `MCP_PRIVATE_KEY` GitHub Actions secret. The npm side uses OIDC trusted publishing, so no npm token is stored.
Releases are automated via [Changesets](https://github.com/changesets/changesets). Contributors don't manually bump versions, tag commits, or run publish commands — they attach a changeset to their PR and the release pipeline handles the rest.
### Contributor flow (every PR)
Every PR that changes shipped code must include a changeset. A [CI check](.github/workflows/require-changeset.yml) enforces this.
```bash
# While working on your PR:
npx changeset
```
The CLI prompts for bump type (major/minor/patch) and a short summary. It writes a markdown file under `.changeset/` — commit that file with your PR.
**Escape hatches for non-release PRs** (docs, CI, internal refactor, test changes with no behavioral impact):
- Add the `no-changeset` label to the PR, **or**
- `npx changeset --empty` to explicitly declare "no release needed."
### Maintainer flow (cutting a release)
You don't manually cut releases. The pipeline does it:
1. **PRs land on `main`** with changeset files attached.
2. **`.github/workflows/release.yml`** runs on every push to `main`. When pending changesets exist, it opens (or updates) a `chore(release): version packages` PR authored by the action. That PR:
- Runs `changeset version` to consume the pending changesets
- Bumps `package.json`
- Re-syncs `server.json` via `scripts/sync-server-version.mjs`
- Appends entries to `CHANGELOG.md`
- Commits the result to its own branch
3. **Review and merge** the Version Packages PR when you're ready to ship. You can let several changesets accumulate before merging — the PR updates itself as more land on `main`.
4. On merge, the release workflow runs again. This time there are no pending changesets, so `changesets/action` detects the version bump and:
- `npm publish` (OIDC trusted publishing, with provenance attestation)
- Creates the GitHub Release + git tag automatically
5. The workflow's final steps install `mcp-publisher`, authenticate via the DNS private key, and publish to the MCP Registry as `com.ffmpeg-micro/mcp-server`.
### Version-sync guard
`.github/workflows/release.yml` still runs a version-parity check on every push to `main`. If `package.json.version`, `server.json.version`, and `server.json.packages[0].version` ever drift, the build fails loudly. Normally `scripts/sync-server-version.mjs` keeps them aligned, but the guard catches manual edits that missed the sync.
### Verify
After the Version Packages PR is merged and the workflow is green:
```bash
npm view @ffmpeg-micro/mcp-server version
curl -s "https://registry.modelcontextprotocol.io/v0/servers?search=com.ffmpeg-micro/mcp-server" | jq '.servers[] | {v: .server.version, isLatest: ._meta."io.modelcontextprotocol.registry/official".isLatest}'
```
### Example: contributor walkthrough
Suppose you're adding a new `delete_transcode` tool. Your PR flow:
```bash
git switch -c feat/delete-transcode
# ... make the code + test changes ...
npx changeset
# ? Which packages would you like to include? › @ffmpeg-micro/mcp-server
# ? Which type of change is this for @ffmpeg-micro/mcp-server? › minor
# ? Please enter a summary for this change › Add delete_transcode tool
git add .changeset/*.md src/ tests/
git commit -m "feat: add delete_transcode tool"
git push -u origin feat/delete-transcode
gh pr create
```
CI runs three checks:
- `test` — unit tests
- `check` (Require changeset) — confirms `.changeset/*.md` is present
- `Vercel` — preview deploy
After merge, the Version Packages PR either opens or updates itself to include your entry. Merge that when you're ready to ship.
### Rules
- **Never edit version fields in `server.json` or `package.json` by hand.** Changesets owns both — `scripts/sync-server-version.mjs` mirrors `package.json` into `server.json`. The CI drift guard fails the release if they diverge.
- **Never `git tag` a release manually.** `changesets/action` creates the tag + GitHub Release as part of publish. Manual tags aren't picked up by the new workflow.
- **Never bypass the Require-changeset check** by committing changes to `.changeset/config.json` or `.changeset/README.md` (those don't count). Use `npx changeset`, the `no-changeset` label, or `npx changeset --empty`.
### Release-related files
- `package.json` — source of truth for version. Also holds `mcpName` (required by the MCP Registry for npm package validation). Bumped by `changeset version`.
- `server.json` — MCP Registry metadata. Version fields are auto-synced from `package.json`.
- `.changeset/config.json` — Changesets configuration (public access, GitHub-aware changelog formatter).
- `.changeset/*.md` — pending release notes waiting to be consumed by the next `changeset version` run.
- `scripts/sync-server-version.mjs` — mirrors `package.json` version into `server.json`.
- `.github/workflows/release.yml` — the publish pipeline (changesets/action + MCP Registry step).
- `.github/workflows/require-changeset.yml` — enforces changeset presence on PRs.
### Troubleshooting
- **`Require changeset` check fails on my PR** — run `npx changeset` and commit the generated file. For docs-only / CI-only PRs, add the `no-changeset` label or `npx changeset --empty`.
- **CI fails at the version-sync guard step** — `server.json` was edited manually. Locally: `node scripts/sync-server-version.mjs`, commit, push. The guard compares `package.json.version`, `server.json.version`, and `server.json.packages[0].version`.
- **`changesets/action` didn't open a Version Packages PR after my feature PR merged** — check that your PR's `.changeset/*.md` file actually had content (non-empty front matter with a bump type and summary). Empty changesets signal "no release needed" and are intentionally ignored.
- **`mcp-publisher publish` fails with "package not found"** — npm hasn't finished propagating the new version yet. The release workflow's `Determine if MCP Registry publish is needed` step retries `npm view` for up to ~50 seconds and backs off if the version still isn't live, deferring the registry publish to the next push to main (which self-heals the drift). If you see this in a manual run, just wait 30s and re-publish.
- **MCP Registry stuck a version behind npm** — the `Determine if MCP Registry publish is needed` step skipped (or returned `needed=false`). Push any commit to main to trigger a re-run; the gate compares `package.json` ↔ npm ↔ registry and catches up automatically. If it keeps skipping, check the step's log output for which version each source reported.
- **`mcp-publisher publish` fails validation with "mcpName mismatch"** — `package.json` `mcpName` must equal `server.json` `name` (both should be `com.ffmpeg-micro/mcp-server`).
- **`mcp-publisher login dns` fails with "public key mismatch"** — the `MCP_PRIVATE_KEY` secret no longer matches the TXT record on `ffmpeg-micro.com`. Regenerate the keypair locally, update both the TXT record and the GitHub secret.
## License
MIT — see [LICENSE](./LICENSE).
TDQS
Scored across 11 tools
Most tools have distinct purposes: transcode vs transcribe vs upload. The overlap between 'transcode_video' and 'transcode_and_wait' is clarified by description, and 'get_download_url' vs 'get_transcribe_download' are distinguished by resource type. Minor potential confusion between 'get_transcode' and 'get_transcribe' but their names indicate the difference.
Naming patterns are mixed: 'transcode_video', 'get_transcode', 'list_transcodes', 'cancel_transcode' follow verb_noun, but 'transcode_and_wait' uses a conjunction, and 'get_transcribe_download' breaks the pattern. Also 'request_upload_url' and 'confirm_upload' are not prefixed with 'upload'. Overall inconsistent.
11 tools is appropriate for the scope: covers transcode creation, monitoring, cancellation, convenience wrapper; transcribe creation and download; upload flow; and download URL generation. Neither too few nor too many for a focused MCP server.
The tool set covers core transcode and transcribe workflows but lacks listing and cancellation for transcribe jobs, while these exist for transcode. There is also no delete or update for completed jobs. Minor gaps that could hinder workflows.