UberLLM
REMOTE · API.UBERLLM.DEV
Make images and videos, price requests, list AI models and read your balance, from one API key.
Available components
Last scanned (14 hours ago)
Scores higher than 66% of remote servers
Reachable. Last reached 5 Nov 2026.
Category Design and Media
How this component scores in each security and reliability category. Every signal is checked automatically against the live server, and we only credit what we can confirm. How we score → Why this is hard to score →
Endpoint Security89
- The endpoint's TLS certificate is valid, in date, and uses a strong key. View diagnostics → Pass
- Authorisation is enforced on tool calls, but the challenge carries no valid RFC 9728 metadata, so a client cannot discover where to get a token. See how to fix → View diagnostics → Fail
- HTTPS is enforced; there's no plaintext access path. View diagnostics → Pass
- The HSTS (Strict-Transport-Security) header is present. View diagnostics → Pass
- DNSSEC check failed: this domain isn't protected by DNSSEC. See how to fix → View diagnostics → Fail
Transport & Reachability100
- Verified streamable-http transport via a live MCP handshake. View diagnostics → Pass
Schema Quality & AI Usability68
- AI-judged instruction clarity (good).Pass
- Context-footprint check failed: tool/resource definitions use about 1260 tokens (~140/item across 9 items; 9 tools + 0 resources), over budget; trim descriptions and params. See how to fix → Fail
- Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management0
- Stability not yet verified: not enough scan history yet (needs a 30-day window).Unverified
Tool Coverage100
- 100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
- 100% of tool parameters carry a description.Pass
Tool Safety100
- No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.Pass
- We read all 9 captured tool definition(s), and no name or description among them implies an irreversible operation.Pass
- An AI judge read all 10 captured unit(s) of tool text and found none that tries to manipulate the model reading it.Pass
Capabilities100
- Implements a supported MCP spec version (2025-11-25); the latest is 2026-07-28.Pass
Unverified: 1 category
A category scored 0 because we could not verify it: authentication we do not have, an unreachable endpoint, or not enough scan history. We only credit what we can confirm.
Every change we have recorded for this component, newest first. Security-relevant changes are always shown. ▲ marks a change for the better, ▼ a change for the worse; unmarked changes are neutral.
- 5 Nov 26 +40
- Transport: unverified → pass ▲ security
- Injection markers: unverified → pass ▲ security
- First check of Judged manipulation: pass security
- Authorization: Authorisation is enforced on tool calls, but the challenge carries no valid RFC 9728 metadata, so a client cannot discover where to get a token. security
- MCP protocol: unverified → pass ▲ functional
- Tool coverage: unverified → 100 ▲ functional
- First check of Schema quality: fail functional
- First check of Destructive annotations: pass functional
- First check of Schema quality: fail functional
- First check of Schema quality: good functional
- First check of Tool coverage: 100 functional
- 30 Oct 26 36
First indexed and scored.
Diagnostic detail from the automated scan of this channel: what the scanner observed at each step, so you can see exactly where a check passed or failed. It is informational only and never changes the trust score.
Captured 5 Nov 2026 · Probed https://api.uberllm.dev/mcp
TLS valid
Negotiated TLS 1.3 with TLS_AES_128_GCM_SHA256 .
| Subject | Issuer | Valid from | Valid until | Key | Signature | Serial |
|---|---|---|---|---|---|---|
| CN=api.uberllm.dev | CN=YE2,O=Let's Encrypt,C=US | 21 Oct 2026 | 19 Jan 2027 | ECDSA 256 | ECDSA-SHA384 | 6f70396974e5db5983147131b44024295a9 |
| SANs: api.uberllm.dev | ||||||
| CN=YE2,O=Let's Encrypt,C=US (CA) | CN=Root YE,O=ISRG,C=US | 3 Sept 2025 | 2 Sept 2028 | ECDSA 384 | ECDSA-SHA384 | 4df3b15dd6c0784c507cd37b58e6f115 |
| CN=Root YE,O=ISRG,C=US (CA) | CN=ISRG Root X2,O=Internet Security Research Group,C=US | 13 May 2026 | 2 Sept 2032 | ECDSA 384 | ECDSA-SHA384 | 872165fc34b6e5fba8add5b3705fb53a |
| CN=ISRG Root X2,O=Internet Security Research Group,C=US (CA) | CN=ISRG Root X1,O=Internet Security Research Group,C=US | 13 May 2026 | 2 Sept 2032 | ECDSA 384 | SHA256-RSA | 6c8f1dc727c7117f7baf853ac980f9cd |
Background: What to check on a remote MCP endpoint →
DNSSEC insecure
Validation of api.uberllm.dev. — Not signed
| Zone | DS | Keys | Algorithms | Outcome |
|---|---|---|---|---|
| . | trust_anchor | 20326, 38696 | 8, 8 | Verified |
| dev. | present | 60074 | 8 | Verified |
| uberllm.dev. | absent | Unsigned (proven) parent-signed NSEC/NSEC3 proves an unsigned delegation |
Authentication Challenged, unverified
The endpoint asked for a token, but we could not retrieve and validate the RFC 9728 metadata that tells a client how to obtain one.
| Result | Challenged, unverified |
|---|---|
| Enforced | On tool calls |
| HTTP status | 200 |
WWW-Authenticate challenge Bearer realm="UberLLM"
Bearer realm="UberLLM"| Header | Value |
|---|---|
| strict-transport-security | max-age=31536000; includeSubDomains |
| x-content-type-options | nosniff |
| x-frame-options | DENY |
| referrer-policy | strict-origin-when-cross-origin |
Protected resource metadata
| Retrieved | No |
|---|---|
| Problem | no_resource_metadata |
Background: How OAuth 2.1 works in the 2026 MCP spec →
Transports 2 probes
| Transport | URL | Outcome | Status | Location |
|---|---|---|---|---|
| streamable-http | https://api.uberllm.dev/mcp | Verified | 200 | |
| http (plaintext) | http://api.uberllm.dev/mcp | HTTPS enforced | 301 | https://api.uberllm.dev/mcp |
The tools this component advertises to a client, with an estimated token cost for each. Expand a tool to see its parameters and schema. The per-tool counts are indicative and are not scored directly; the schema's total context footprint is one signal in Schema Quality & AI Usability. A tool's description is untrusted text the model reads on every call, which is what makes this list a security surface and not just an inventory: how tool poisoning works →
balance Balance ~29
Your balance in US dollars: what you can spend now and what is held for requests and jobs still running.
Input schema present but exposes no named parameters.
No output schema declared.
No examples provided.
edit_image Edit an image ~250
Change a picture you give (image_url or input_images, as https:// links or data: URIs) following a prompt, with an editing model. Spends from your balance.
| Name | Type | Req | Description |
|---|---|---|---|
| aspect_ratio | string | – | Shape, e.g. 16:9, when the model lists aspect ratios. |
| image_url | string | – | The picture to change: an https:// link or a data: URI. |
| input_images | null|array | – | Several pictures to work from (https:// links or data: URIs). |
| max_cost | number | – | The most you will pay in US dollars; a request that can cost more is refused before anything is spent. |
| model | string | yes | An image model id. |
| n | integer | – | How many pictures, 1 to 10. Default 1. |
| options | object | – | Any other option from get_model's parameters schema. |
| prompt | string | yes | What to make. |
| return_image | boolean | – | Also return the pictures themselves in the answer, so you can look at them. |
| size | string | – | Width x height, e.g. 1024x1024, when the model lists sizes. |
No output schema declared.
No examples provided.
generate_image Make an image ~194
Make pictures from a prompt. Spends from your balance; the answer carries the links and what it cost (usage.cost_usd).
| Name | Type | Req | Description |
|---|---|---|---|
| aspect_ratio | string | – | Shape, e.g. 16:9, when the model lists aspect ratios. |
| max_cost | number | – | The most you will pay in US dollars; a request that can cost more is refused before anything is spent. |
| model | string | yes | An image model id. |
| n | integer | – | How many pictures, 1 to 10. Default 1. |
| options | object | – | Any other option from get_model's parameters schema. |
| prompt | string | yes | What to make. |
| return_image | boolean | – | Also return the pictures themselves in the answer, so you can look at them. |
| size | string | – | Width x height, e.g. 1024x1024, when the model lists sizes. |
No output schema declared.
No examples provided.
get_job Get a job ~49
The status of a video or music job, its progress and, once it succeeded, the links to its files and what it cost.
| Name | Type | Req | Description |
|---|---|---|---|
| job_id | string | yes | The job id start_video returned. |
No output schema declared.
No examples provided.
get_model Get a model ~70
One model: its price, what it makes and, for an image, video, music or speech model, a JSON Schema of the options a request takes (parameters).
| Name | Type | Req | Description |
|---|---|---|---|
| model | string | yes | The model id, e.g. bytedance/seedance-2-0-fast-image-to-video. |
No output schema declared.
No examples provided.
list_models List models ~92
Models you can call right now, with their price. Filter by type (chat, image, video, music, speech, transcription) and by words in the id or name.
| Name | Type | Req | Description |
|---|---|---|---|
| search | string | – | Only models whose id or name contains these words, e.g. seedance or kling. |
| type | string | – | Only models of this type: chat, image, video, music, speech or transcription. |
No output schema declared.
No examples provided.
quote Quote a request ~122
Check an image, video, music or text-to-speech request against the model and price it, without making anything or spending. Returns the listed price (cost_usd: it is never billed more) and what is held while it runs (max_cost_usd).
| Name | Type | Req | Description |
|---|---|---|---|
| model | string | yes | The model id. |
| options | object | – | The rest of the request, as get_model's parameters schema describes it, e.g. {"duration_seconds": 5, "image_url": "https://..."}. |
| prompt | string | – | What to make. |
No output schema declared.
No examples provided.
start_video Start a video ~245
Start making a video. Returns a job; call wait_job with its id until it is done. Spends from your balance when the video is made; a failed job costs nothing.
| Name | Type | Req | Description |
|---|---|---|---|
| aspect_ratio | string | – | e.g. 16:9, when the model lists aspect ratios. |
| duration_seconds | number | – | Length in seconds; one of the lengths get_model lists. |
| end_image_url | string | – | The last frame, for models that make a transition. |
| idempotency_key | string | – | Send the same key when you retry, so a retry never starts or pays for a second video. |
| image_url | string | – | The first frame (https:// link or data: URI); needed by image-to-video models. |
| max_cost | number | – | The most you will pay in US dollars; a job that can cost more is refused before anything is spent. |
| model | string | yes | A video model id. |
| options | object | – | Any other option from get_model's parameters schema. |
| prompt | string | yes | What to make. |
| resolution | string | – | e.g. 720p, when the model lists resolutions. |
No output schema declared.
No examples provided.
wait_job Wait for a job ~78
Wait until a video or music job ends, for at most timeout_seconds (50 at most). Returns the job; if done is false, call wait_job again.
| Name | Type | Req | Description |
|---|---|---|---|
| job_id | string | yes | The job id start_video returned. |
| timeout_seconds | integer | – | How long to wait, 1 to 50 seconds. Default 50. |
No output schema declared.
No examples provided.
How do I install the UberLLM MCP server?
UberLLM is a hosted endpoint at https://api.uberllm.dev/mcp, so there is nothing to install locally. Ready-made configuration for Claude, Cursor, VS Code, Codex and 5 more is on this page, copied from each client's own documentation.
remote · api.uberllm.dev
claude mcp add --transport http dev-uberllm-mcp 'https://api.uberllm.dev/mcp'
What is the UberLLM MCP server?
UberLLM is an MCP server listed in the public MCP registry as dev.uberllm/mcp. Make images and videos, price requests, list AI models and read your balance, from one API key. This page covers its hosted endpoint (https://api.uberllm.dev/mcp).
Is the UberLLM MCP server safe to use?
UberLLM scores 76 out of 100 on VerifyMCP. That is a record of what we were able to check automatically, not an endorsement. The category breakdown on this page shows every signal behind the number, including the ones we could not confirm.
What tools does the UberLLM MCP server expose?
UberLLM exposes 9 tools: balance, edit_image, generate_image, get_job, get_model, and 4 more. Their descriptions and schemas cost roughly 1,129 tokens of context every time the server is loaded.
Does the UberLLM MCP server require authentication?
Yes. UberLLM asked us for credentials when we connected, so you will need to authorise it in your MCP client before it can do anything.
Is the UberLLM MCP server still maintained?
UberLLM is still listed as active in the MCP registry. We last reached this channel on 5 November 2026. Those dates come from our own scans of the registry and the channel itself, not from anything the publisher announced.