Firefly MCP Server
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| FIREFLY_SCOPES | No | Scope string from the provisioned project | Adobe tutorial scopes |
| FIREFLY_AUDIT_LOG | No | Append guard decisions to this local path | |
| FIREFLY_CLIENT_ID | No | Firefly Services OAuth client ID | |
| FIREFLY_READ_ONLY | No | `1` or `true` hides generation and uploads | Off |
| FIREFLY_OUTPUT_DIR | No | Folder for explicitly requested downloads | ~/outputs/images |
| FIREFLY_USER_TOKEN | No | Optional user-level custom-model access | |
| FIREFLY_ACCESS_TOKEN | No | Optional existing access token, replacing the secret | |
| FIREFLY_CLIENT_SECRET | No | OAuth client secret | |
| FIREFLY_ALLOW_SPENDING | No | `0` or `false` blocks paid media generation | On |
| FIREFLY_POLL_TIMEOUT_MS | No | Maximum job polling duration | 300000 |
| FIREFLY_POLL_INTERVAL_MS | No | Interval between polls | 2000 |
| FIREFLY_REQUEST_TIMEOUT_MS | No | Per-request deadline | 30000 |
| FIREFLY_SERVICES_CLIENT_ID | No | Adobe tutorial alias for client ID | |
| FIREFLY_SERVICES_ACCESS_TOKEN | No | Adobe tutorial alias for access token | |
| FIREFLY_SERVICES_CLIENT_SECRET | No | Adobe tutorial alias for client secret |
Instructions
Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.
This server publishes no instructions, or was last inspected before Glama recorded them.
Capabilities
Features and capabilities supported by this server
Protocol revision2025-11-25
| Capability | Details |
|---|---|
| tools | {} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| generate_imageB | Generate images. Consumes Firefly Services credits. Returns Adobe output URLs. Set wait=false to return an async job. |
| generate_image5A | Generate images with Image5. Image 5 supports natural-language edits through referenceBlobs. Consumes Firefly Services credits. Returns Adobe output URLs. Set wait=false to return an async job. |
| generate_similarA | Generate similar images. Consumes Firefly Services credits. Returns Adobe output URLs. Set wait=false to return an async job. |
| generative_expandB | Expand image. Consumes Firefly Services credits. Returns Adobe output URLs. Set wait=false to return an async job. |
| generative_fillB | Fill image. Consumes Firefly Services credits. Returns Adobe output URLs. Set wait=false to return an async job. |
| generate_object_compositeB | Generate object composite. Consumes Firefly Services credits. Returns Adobe output URLs. Set wait=false to return an async job. |
| precise_compositeB | Generate precise composite. Consumes Firefly Services credits. Returns Adobe output URLs. Set wait=false to return an async job. |
| adaptive_compositeB | Generate adaptive composite. Consumes Firefly Services credits. Returns Adobe output URLs. Set wait=false to return an async job. |
| upscale_imageA | Upscale image. Consumes Firefly Services credits. Returns Adobe output URLs. Set wait=false to return an async job. |
| generate_videoA | Generate video. Consumes Firefly Services credits. Returns Adobe output URLs. Set wait=false to return an async job. |
| upload_imageA | Upload a local JPEG, PNG, WebP, TIFF or JXL image, up to 15 MB. Returns an uploadId, valid for seven days. File content is sent to Adobe. |
| verify_credentialsA | Verify OAuth credentials or a supplied access token without generating media. A supplied token is checked through a custom-model API read. Does not prove generation entitlement or reveal tokens. |
| get_job_statusA | Read an existing Adobe async job by jobId. Use after a polling timeout instead of submitting generation again. |
| list_custom_modelsB | Read custom models available to the Adobe project. FIREFLY_USER_TOKEN is optional for user-specific access. Returns a page; use start and limit to continue. |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
TDQS
Scored across 14 tools
Most tools map to distinct Firefly operations, but generate_image and generate_image5 both 'Generate images', and the three composite tools (generate_object_composite, precise_composite, adaptive_composite) have terse, near-parallel descriptions. An agent may need to infer distinctions from names or external knowledge.
All tool names use snake_case, which is consistent. However, prefixes are mixed: many are verb-led (generate_, upload_, verify_, get_, list_), while others are adjective-led (generative_, precise_, adaptive_), and generate_image5 carries a version suffix.
14 tools is within a reasonable range for a media-generation server covering image, video, compositing, upload, credentials, and job utilities. The count is well-scoped and does not appear padded or severely under-provisioned.
Core generation, editing, compositing, upload, and async job status operations are covered. Minor gaps remain, such as read-only custom models and no obvious job cancel/list/download lifecycle tools beyond get_job_status.