Server providing Argo CD integration for MCP clients.
Compute Connector is installed from its publisher's own source and answers where it runs, so this marketplace is not in the path of a single call. There is no address here to send one to, and a panel that pretended otherwise would be showing you an answer we made up. Install it and call it from your own client — the Installation tab has the entry for each one.
What it does
Low on memory? Your bot sends heavy jobs to cloud sandboxes on your own provider keys. Flat fee.
Quickstart
# 1 — add it to Claude Code
claude mcp add --scope user --transport http compute-connector-mcp https://compute.cloudforbots.com/mcp
# 2 — ask your agent for something these tools do
# check_memory, run_job, save_provider_key and 5 more
Compute Connector costs nothing on mcprush: there is no plan to choose here, no cap to set and nothing mcprush can bill you for.
Collected from a public index. Nobody has claimed this account, so nothing here was written by its author — claim it if it is yours.
Where are you running it?
Every route below installs the same thing and ends at the same approval screen. Nothing here runs on your machine and nothing runs on ours: this server answers at its publisher’s own address, and what you install is the connection straight to it.
This is a public server: it answers at its publisher’s own address and this marketplace is not in the path. Claude Code registers it in one command; --scope user makes it available in every project. The transport below is http, as the publisher's own manifest declares it.
claude mcp add --scope user --transport http compute-connector-mcp https://compute.cloudforbots.com/mcpReconnect, or start a new session, and the tools appear in the model’s tool list.
One config entry pointing straight at the publisher’s own address — this marketplace is not in the path, and nothing from this listing executes on your machine.
8 tools, with what each one reads, writes and reaches shown before you agree — the same list on every route above. Read the tool surface.
Tool surface
What the model actually sees. Descriptions are diffed on every release — see version history.
Before a heavy job, send how much memory the machine your agent runs on has free (free -m, os.freemem()) and what you are about to run. Get a memory warning and a verdict: run_local, or offload with the provider to use. Free watch-only logs would_offload for the weekly report; nothing runs.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| free_mb | number | yes | Free or available memory right now, in MB (Linux: the "available" column of free -m). |
| total_mb | number | no | — |
| job | string | no | The command or a short description, e.g. "npm run build" or "playwright crawl of 40 pages". |
| job_mb | number | no | Optional: your own estimate of the job's peak memory in MB. Without it we use a rough guess by job type. |
| floor_mb | number | no | Keep at least this much free. Default 2048. |
| host | string | no | Optional name of the machine, e.g. "my-laptop". |
Pro: run a shell command in a fresh cloud sandbox on your own provider account (vercel (Vercel Sandbox, default), e2b, daytona, modal, workers (Workers Sandbox)) and get the exit code and the last 16 KB of stdout and stderr back. Send small input files with it. The sandbox is created for the job and stopped right after, so nothing idles on your bill. Free watch-only logs would_offload and runs not
| Parameter | Type | Required | Notes |
|---|---|---|---|
| cmd | string | yes | Shell command, run with bash -lc, e.g. "git clone https://github.com/you/app && cd app && npm ci && npm test". |
| provider | string | no | Name of a saved provider key (default: your default key, else vercel). |
| files | array | no | Optional input files written before cmd runs: [{path, content, encoding?: "base64"}]. 50 files, 500 KB total. |
| env | object | no | Optional non-secret environment variables for the command (strings). |
| timeout_s | integer | no | 1-240 seconds, default 120. |
| runtime | string | no | Vercel only: node24 (default), node22, node26 or python3.13. |
| template | string | no | E2B only: template id, default base. |
| free_mb | number | no | Optional: memory free on your machine now, for the weekly report. |
Pro, owner only: save one provider key, sealed with AES-256-GCM before it reaches the database. Providers: vercel (Vercel Sandbox, default), e2b, daytona, modal, workers (Workers Sandbox). Vercel needs team_id and project_id; Modal and Workers Sandbox need bridge_url (see provider_setup). The key is checked with a read-only call first and is never returned or logged. Free stores nothing.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| provider | string | yes | vercel, e2b, daytona, modal or workers. |
| token | string | yes | The provider API key or token (or your bridge token). |
| name | string | no | Label for this key, default the provider name. Use it in run_job provider. |
| team_id | string | no | Vercel: team id (team_...). |
| project_id | string | no | Vercel: project id or name the sandboxes bill to. |
| api_url | string | no | Daytona: API base, default https://app.daytona.io/api. |
| bridge_url | string | no | Modal / Workers Sandbox: https URL of the bridge you deployed. |
| make_default | boolean | no | — |
| skip_check | boolean | no | Save without the read-only check (not recommended). |
Every provider this connects to, how each one runs, and (with your key) the provider keys you saved: name, provider, fingerprint, default, last used. Never shows a key.
No parameter schema on file.
Pro, owner only: delete a saved provider key by name. Jobs on that key stop working at once.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| name | string | yes | — |
Step-by-step setup for one provider: where to get the key, what to pass to save_provider_key, links to its docs and price page, and for Modal or Workers Sandbox the bridge code to deploy on your own account.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| provider | string | yes | vercel, e2b, daytona, modal or workers. |
Plain-English summary of the last 7 days: memory checks, low-memory warnings, jobs that would have been offloaded (free) or ran (Pro) by provider, minutes and failures. Read-only; sends nothing. Needs an API key.
No parameter schema on file.
Show today's usage for your key or IP and the $9/month upgrade link. Free tier: 500 calls/day. Not metered.
No parameter schema on file.
- Every tool — any call limit is its publisher’s, not ours
- No card, and mcprush charges nothing for it
- Runs at its publisher’s own address — this marketplace is not in the path
- Nothing to cap, because mcprush bills nothing
What counts against your monthly calls
| Tool | Unit | Calls used | Out of the allowance |
|---|
Nothing here is billable: mcprush charges nothing to install Compute Connector or to call it, at any volume.
Two independent axes, because powerful and malicious are different questions. The grade is threat only. The capability level is blast radius, and it is never a penalty on the grade — it is priced as one subtract-only term in the score, where you can see it.
| Term | Level | What it prices | Points |
|---|---|---|---|
| capability-exposure | high | capability blast radius (high) — client exposure if the model is manipulated | −6 |
| coverage-honesty | manifest | inspection depth (manifest) — how much of the target the scan could see | −4 |
What the scan could actually read
A grade is only as meaningful as its coverage, so the scanner publishes its own depth before it publishes its result.
The scan read each tool’s name, description, input schema and annotations exactly as the server listed them the last time it answered us; no code was reviewed. We ask the server again about once a month, and a list that changed is graded again.
The implementation source was not read — this reflects the declared tool metadata only.
Capability — what it could do if the model were manipulated
Tags derived from each tool’s schema and the implementation, not from what the tool calls itself. high is the level these add up to.
| Tool | Capability tags | Why the tag was assigned |
|---|---|---|
| check_memory | no tags | |
| run_job | code-exec | code-exec: parameter "cmd" |
| save_provider_key | no tags | |
| list_providers | no tags | |
| delete_provider_key | no tags | |
| provider_setup | no tags | |
| weekly_report | no tags | |
| usage_and_upgrade | no tags |
Toxic-flow graph
The lethal trifecta, checked as a graph rather than as a checklist: untrusted input, a sensitive source and an external sink have to meet before there is a path worth worrying about.
The public result for this release does not print the flow graph, so there is nothing to show here. That is not the same as "no paths were found": what the scan did read is above, under coverage.
Supply chain and provenance
This is the first scan of this surface here, so there is nothing yet to compare it against.
Every result on this tab comes from one deterministic pass over the published package — offline, rule by rule, and auditable line by line above. Same methodology version, same bytes, same score.
Release history
This is an address its publisher runs: which release it serves is theirs to choose, so there is nothing here to pin. The history below is for reading; the current release on file is 1.0.0.
No release note was published with this version.
One review per account, from a signed-in account that does not publish this listing. Nothing else is asked — you can say what you think before you install it. Publishers can reply once per review, and a review can be edited or deleted by whoever wrote it.
Any signed-in account that does not publish Compute Connector can review it, once — before installing it or after. A review from an account that has installed it is marked as one.
Nobody has reviewed this listing. The rating on the card is the mean of the reviews written here and nothing else, so there is no rating until somebody writes the first — which takes a signed-in account that does not publish it, and nothing else.