AgentCompute English Transcription
REMOTE · AGENTCOMPUTE-PILOT-PORTAL.BEIGEMELON258.CHATGPT.SITE
English WAV transcription on a GPU. No login: agents obtain temporary trial access automatically.
Available components
Last scanned (5 hours ago)
Scores higher than 69% of remote servers
Reachable. Last reached 5 Nov 2026.
Category AI and Machine Learning
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 Security74
- The endpoint's TLS certificate is valid, in date, and uses a strong key. View diagnostics → Pass
- No authorisation is required to call this server. Every tool declares its destructiveHint and none is destructive, so open access doesn't expose one. See how to fix → View diagnostics → Partial
- HTTPS is enforced; there's no plaintext access path. View diagnostics → Pass
- HSTS check failed: the Strict-Transport-Security header is absent. See how to fix → View diagnostics → Fail
- 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 Usability73
- AI-judged instruction clarity (good).Pass
- Context-footprint check failed: tool/resource definitions use about 1038 tokens (~115/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 Management50
- Stability observed for 15 of 30 days with no destabilising changes; credit accrues until the full window elapses.Partial
Tool Coverage89
- 100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
- 67% of tool parameters carry a description.Partial
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 current MCP spec version (2026-07-28).Pass
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 +1
No change was recorded against any check on this day. Stability & Change Management went from 47 to 50. That category is still filling its 30-day observation window: 14 days of observed history at the previous scan, 15 at this one. The score rises as the window fills, whether or not the server changes.
- 3 Nov 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 40 to 43. That category is still filling its 30-day observation window: 12 days of observed history at the previous scan, 13 at this one. The score rises as the window fills, whether or not the server changes.
- 1 Nov 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 33 to 37. That category is still filling its 30-day observation window: 10 days of observed history at the previous scan, 11 at this one. The score rises as the window fills, whether or not the server changes.
- 29 Oct 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 23 to 27. That category is still filling its 30-day observation window: 7 days of observed history at the previous scan, 8 at this one. The score rises as the window fills, whether or not the server changes.
- 27 Oct 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 17 to 20. That category is still filling its 30-day observation window: 5 days of observed history at the previous scan, 6 at this one. The score rises as the window fills, whether or not the server changes.
- 25 Oct 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 10 to 13. That category is still filling its 30-day observation window: 3 days of observed history at the previous scan, 4 at this one. The score rises as the window fills, whether or not the server changes.
- 24 Oct 26 −1
- The server rewrote its instructions, which are the text every model session reads security
- Tool “create_trial_access” rewrote its description, which is the text the model reads security
- Tool coverage: 100% → 67% ▼ functional
- Schema quality: pass → fail ▼ functional
- Server version: 0.7.0 → 0.7.2 functional
- New tool “get_service_status” functional
- New tool “get_studio_image” functional
- New tool “get_studio_job” functional
- New tool “submit_chat_job” functional
- New tool “submit_image_job” functional
- 22 Oct 26 +1
- Stability: unverified → 0.03 ▲ functional
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://agentcompute-pilot-portal.beigemelon258.chatgpt.site/v1/mcp
TLS valid
Negotiated TLS 1.3 with TLS_AES_128_GCM_SHA256 .
| Subject | Issuer | Valid from | Valid until | Key | Signature | Serial |
|---|---|---|---|---|---|---|
| CN=*.beigemelon258.chatgpt.site | CN=WE1,O=Google Trust Services,C=US | 21 Oct 2026 | 19 Jan 2027 | ECDSA 256 | ECDSA-SHA256 | 42b83438d13b95071378169d3e5a9e24 |
| SANs: *.beigemelon258.chatgpt.site | ||||||
| CN=WE1,O=Google Trust Services,C=US (CA) | CN=GTS Root R4,O=Google Trust Services LLC,C=US | 13 Dec 2023 | 20 Feb 2029 | ECDSA 256 | ECDSA-SHA384 | 7ff31977972c224a76155d13b6d685e3 |
| CN=GTS Root R4,O=Google Trust Services LLC,C=US (CA) | CN=GlobalSign Root CA,OU=Root CA,O=GlobalSign nv-sa,C=BE | 15 Nov 2023 | 28 Jan 2028 | ECDSA 384 | SHA256-RSA | 7fe530bf331343bedd821610493d8a1b |
Background: What to check on a remote MCP endpoint →
DNSSEC insecure
Validation of agentcompute-pilot-portal.beigemelon258.chatgpt.site. — Not signed
| Zone | DS | Keys | Algorithms | Outcome |
|---|---|---|---|---|
| . | trust_anchor | 20326, 38696 | 8, 8 | Verified |
| site. | present | 31826 | 13 | Verified |
| chatgpt.site. | absent | Unsigned (proven) parent-signed NSEC/NSEC3 proves an unsigned delegation |
Authentication No authorisation required
The endpoint answered without asking for a token. Anyone who knows the URL can reach it.
| Result | No authorisation required |
|---|---|
| HTTP status | 200 |
| Header | Value |
|---|---|
| x-content-type-options | nosniff |
| referrer-policy | no-referrer |
Background: How OAuth 2.1 works in the 2026 MCP spec →
Transports 2 probes
| Transport | URL | Outcome | Status | Location |
|---|---|---|---|---|
| streamable-http | https://agentcompute-pilot-portal.beigemelon258.chatgpt.site/v1/mcp | Verified | 200 | |
| http (plaintext) | http://agentcompute-pilot-portal.beigemelon258.chatgpt.site/v1/mcp | HTTPS enforced | 302 | https://agentcompute-pilot-portal.beigemelon258.chatgpt.site/v1/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 →
create_trial_access Start a trial without login ~83
Create a private 24-hour trial token automatically. No ChatGPT account, payment or manual setup. Audio: 3 jobs per session. Chat/images: shared queue of 3 active tasks, no per-session job quota. Global access issuance caps apply. Retain the token for upload and result retrieval. Reuse the session; never create new sessions to bypass quotas.
Input schema present but exposes no named parameters.
No output schema declared.
No examples provided.
get_compute_job Read a GPU job result ~87
Read a previously submitted job by job_id. Returns status, transcript, runtime and reference quality when complete. For queued or running jobs, wait poll_after_seconds before checking again. Failed or expired jobs are not successful results.
| Name | Type | Req | Description |
|---|---|---|---|
| access_token | string | – | Temporary trial token, unless Bearer authentication is configured. |
| job_id | string | yes | Exact job_id returned by submit_compute_job. |
No output schema declared.
No examples provided.
get_compute_status Check GPU availability ~36
Check whether the GPU provider can accept English transcription work. Returns availability, permitted task types, and limits. Does not start a job.
Input schema present but exposes no named parameters.
No output schema declared.
No examples provided.
get_service_status Check chat, image and audio availability ~39
Public live availability, model catalog, free-trial limits and polling guidance. No token required. Check before submitting; an offline GPU cannot execute work.
Input schema present but exposes no named parameters.
No output schema declared.
No examples provided.
get_studio_image Retrieve your generated PNG ~61
Return the completed image as an MCP image content block. Requires the same token/identity that submitted the job. Images expire after 24 hours from submission; download before expiry.
| Name | Type | Req | Description |
|---|---|---|---|
| access_token | string | – | – |
| job_id | string | yes | – |
No output schema declared.
No examples provided.
get_studio_job Read text or image task status ~73
Read your own chat/image job. Includes partial text while running, final text or image availability, GPU runtime and server timings. Wait poll_after_seconds between checks; stop on succeeded, failed or expired. Does not create or retry work.
| Name | Type | Req | Description |
|---|---|---|---|
| access_token | string | – | – |
| job_id | string | yes | – |
No output schema declared.
No examples provided.
submit_chat_job Generate text on the GPU ~158
Queue a free text task: draft, summarize, extract, translate text, reason or assist with code. No code is executed. Provide user/assistant messages, explicit consent for nonconfidential permitted content, and a stable idempotency key. Returns immediately with a job ID. Poll get_studio_job. Uses the configured local model, no external AI fallback.
| Name | Type | Req | Description |
|---|---|---|---|
| access_token | string | – | Private token from create_trial_access; optional with Bearer authentication. |
| consent | boolean | yes | Confirm permission to process this nonconfidential content. |
| idempotency_key | string | yes | – |
| messages | array | yes | At most 12,000 characters in total. End with a user message. Include previous messages for follow-up context. |
No output schema declared.
No examples provided.
submit_compute_job Submit an English transcription job ~188
Beta users must supply their uploaded asset_id and kind compute_job. No accuracy guarantee is made for uploaded files. Owner legacy calls can queue the fixed synthetic benchmark. compute_job returns a transcript; delegated_task additionally requires word error rate at most 10% against the known reference. Returns a job_id to poll with get_compute_job. No payment is charged. Reuse the same idempotency_key for retries, and use a new key only for a new job.
| Name | Type | Req | Description |
|---|---|---|---|
| access_token | string | – | Temporary token returned by create_trial_access. Optional when Bearer authentication is configured. |
| asset_id | string | – | Owned upload ID returned by POST /v1/beta/upload. Required for public beta buyers. |
| idempotency_key | string | yes | Unique request key. Keep it unchanged on retries. |
| kind | string | yes | Transcription only, or transcription with the reference quality gate. |
No output schema declared.
No examples provided.
submit_image_job Generate an image on the GPU ~131
Queue a free text-to-image task from a complete scene description. Each task is independent, not an edit of a previous image. Returns a job ID; poll get_studio_job then get_studio_image for the PNG. Configured model and size appear in service status/results. No external AI fallback.
| Name | Type | Req | Description |
|---|---|---|---|
| access_token | string | – | Private token from create_trial_access; optional with Bearer authentication. |
| consent | boolean | yes | Confirm permission to process this nonconfidential content. |
| idempotency_key | string | yes | – |
| prompt | string | yes | Complete image description. English prompts are recommended. |
No output schema declared.
No examples provided.
How do I install the AgentCompute English Transcription MCP server?
AgentCompute English Transcription is a hosted endpoint at https://agentcompute-pilot-portal.beigemelon258.chatgpt.site/v1/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 · agentcompute-pilot-portal.beigemelon258.chatgpt.site
claude mcp add --transport http site-chatgpt-beigemelon258-agentcompute-pilot-po 'https://agentcompute-pilot-portal.beigemelon258.chatgpt.site/v1/mcp'
What is the AgentCompute English Transcription MCP server?
AgentCompute English Transcription is an MCP server listed in the public MCP registry as site.chatgpt.beigemelon258.agentcompute-pilot-portal/englis…. English WAV transcription on a GPU. No login: agents obtain temporary trial access automatically. This page covers its hosted endpoint (https://agentcompute-pilot-portal.beigemelon258.chatgpt.site/v1/mcp).
Is the AgentCompute English Transcription MCP server safe to use?
AgentCompute English Transcription scores 77 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 AgentCompute English Transcription MCP server expose?
AgentCompute English Transcription exposes 9 tools: create_trial_access, get_compute_status, submit_compute_job, get_compute_job, get_service_status, and 4 more. Their descriptions and schemas cost roughly 856 tokens of context every time the server is loaded.
Does the AgentCompute English Transcription MCP server require authentication?
No. We connected to AgentCompute English Transcription without credentials and it answered, so anything it exposes is reachable by anyone who knows the address.
Is the AgentCompute English Transcription MCP server still maintained?
AgentCompute English Transcription 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.