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PopNx MCPMCP servers for people who use AI · explained in plain words

DeepInfra MCP by usefulapi

by m190version 1.35.3i★ –iRuns in the cloud
Registry nameio.usefulapi/deepinfra

Install

Overview

Description from the maker (original English)

Run DeepInfra inference, list models and read account rate limits.

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

Install

Pick the AI app you use, then copy the settings.

Before you install

  • Basic checks: 3 of 3 passed
  • Runs on the maker’s server: what you ask it goes through their server.
  • Can do 18 things (tools) deepinfra_get_account, deepinfra_get_rate_limit, deepinfra_list_api_tokens, deepinfra_get_usage …
  • The registry lists no key to fill in.

You need

Which app do you use?

Pick your app above. We remember it, so next time the button says “Install in …”.

Works in Claude on the web, desktop and mobile:

  1. Open Settings → Connectors
  2. Press Add custom connector
  3. Paste the address below and press Add
  4. If it asks you to sign in, sign in with the maker
SettingsConnectors1+ Add2https://…3
https://deepinfra.usefulapi.io/mcp

Run this in your terminal

claude mcp add --transport http deepinfra https://deepinfra.usefulapi.io/mcp

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "deepinfra": {
      "url": "https://deepinfra.usefulapi.io/mcp"
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "deepinfra": {
      "type": "http",
      "url": "https://deepinfra.usefulapi.io/mcp"
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

ChatGPT connects only to servers on the internet:

  1. Open ChatGPT on the web → Settings → Connectors (Apps)
  2. Press Create or Add (some plans need Developer mode under Advanced first)
  3. Paste the address below, give it a name and save
  4. If it asks you to sign in, sign in with the maker
SettingsConnectors1+ Create2https://…3
https://deepinfra.usefulapi.io/mcp

Menu names can differ slightly by plan and over time.

Your choice stays on this device in a cookie; no account needed.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Tool names and descriptions exactly as the server reported them on Nov 6, 2026. The maker wrote them, not us; we show them as plain text.

  • deepinfra_get_account

    Get the current DeepInfra account / user details (identity, email, quotas). DeepInfra REST: GET /v1/me.

  • deepinfra_get_rate_limit

    Get the account's current rate limits (per-model / per-endpoint request and token limits). DeepInfra REST: GET /v1/me/rate_limit.

  • deepinfra_list_api_tokens

    List the account's API tokens (metadata only, not secret values). DeepInfra REST: GET /v1/api-tokens.

  • deepinfra_get_usage

    Get spend / usage for a billing period. DeepInfra REST: GET /payment/usage.

  • deepinfra_get_usage_tokens

    Get per-model token usage for a period. DeepInfra REST: GET /payment/usage/tokens.

  • deepinfra_get_usage_rent

    Get GPU rental (dedicated hardware) usage for a time range. DeepInfra REST: GET /payment/usage/rent.

  • deepinfra_list_invoices

    List billing invoices for the account. DeepInfra REST: GET /payment/invoices.

  • deepinfra_list_deployments

    List the account's dedicated deployments. DeepInfra REST: GET /deploy/list.

  • deepinfra_get_deployment

    Get one dedicated deployment by id (config + current status). DeepInfra REST: GET /deploy/{deploy_id}.

  • deepinfra_get_deployment_stats

    Get time-series stats (throughput / latency / replicas) for a dedicated deployment. DeepInfra REST: GET /deploy/{deploy_id}/stats2.

  • deepinfra_get_gpu_availability

    Get GPU availability for LLM deployments (which hardware can currently be provisioned). DeepInfra REST: GET /deploy/llm/gpu_availability.

  • deepinfra_list_models

    List the DeepInfra model catalog (all available models). DeepInfra REST: GET /models/list.

  • deepinfra_get_model

    Get one model's catalog entry (pricing, context length, capabilities). DeepInfra REST: GET /models/{model_name}.

  • deepinfra_get_hardware

    Get the hardware options / GPU configuration available for a given model. DeepInfra REST: GET /v2/hardware.

  • deepinfra_query_logs

    Query inference request logs for a dedicated deployment over a time window. DeepInfra REST: GET /v1/logs/query.

  • deepinfra_get_live_metrics

    Get global live inference metrics across the account (real-time throughput / activity). DeepInfra REST: GET /v1/metrics/live.

  • deepinfra_start_deployment

    Start (resume) a dedicated deployment. WARNING: this resumes a dedicated deployment and may incur GPU charges while it runs. DeepInfra REST: POST /deploy/{deploy_id}/start.

  • deepinfra_stop_deployment

    Stop (pause) a running dedicated deployment. This halts inference and stops accruing GPU charges for it. DeepInfra REST: POST /deploy/{deploy_id}/stop.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 6, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified against the domain usefulapi.io (the registry checks domain ownership)

  • … Not checked yet

    Still maintained

    We have not read this repo from GitHub yet

  • … Not checked yet

    Has a licence

    We have not read this repo from GitHub yet

  • ✓ Pass

    Endpoint responds

    Responded in 13 ms (HTTP 200)

  • – Not applicable

    Sign-in with OAuth

    No sign-in needed

  • ✓ Pass

    No hidden instructions in tool descriptions

    Read 18 tool descriptions and found no hidden instructions to the AI

Compared with others in Otheri

  • More stars than 0% of the other 32410 servers in this category
  • Published to the registry more recently than 97% of the other 32410 servers in this category
  • Basic checks equal to or better than 100% of the other 32410 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is DeepInfra MCP by usefulapi safe?

It passed 3 of 3 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

It runs in the maker’s cloud. Connect over the internet with nothing to install, but what you send passes through the maker’s servers.

Is it still maintained?

The GitHub repo last changed –, and the latest version (1.35.3) reached the registry yesterday.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. It connects by URL, so apps that accept remote MCP servers work too, such as ChatGPT in developer mode.

What can I use instead?

In the same category: Spec Driven Development, Remote Desktop Commander, debuff

Alternatives

Servers in the same category from other makers, sorted by stars.

Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

Spec Driven Development

by formulahendry

MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.

Runs on your computer★ 440MITUpdated 14 months ago
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Remote Desktop Commander

by desktop-commander

Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.

Runs in the cloud★ 211Updated yesterday
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debuff

by debuffjp

Let coding agents play, test and tune your 2D web game: live state, explained errors, replays, fuzz.

Runs on your computerUpdated today
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README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

DeepInfra MCP by usefulapi

Run DeepInfra inference, list models and read account rate limits. Hosted, no local install.

Live endpoint: https://deepinfra.usefulapi.io/mcp · Homepage: https://usefulapi.io

Connect

  • Claude (claude.ai, Desktop): open Customize → Connectors, click + Add → Add custom connector, and paste https://deepinfra.usefulapi.io/mcp.
  • Claude Code: claude mcp add --transport http deepinfra https://deepinfra.usefulapi.io/mcp, then run /mcp to log in.
  • VS Code: Add to VS Code.
  • Cursor and other clients: add the URL as a remote MCP server:
{

"mcpServers": { "deepinfra": { "url": "https://deepinfra.usefulapi.io/mcp" } } }

Add only the URL. Do not add an Authorization header or an API key to the client config: the server signs you in with OAuth, and the login page asks for your DeepInfra credentials.

Step-by-step setup, where to find your credentials, and FAQ: https://usefulapi.io/deepinfra/

On first connect you'll paste your DeepInfra credentials. They are validated, stored per-user, and scoped to you — no keys in config files.

Tools

ToolTypeWhat it does
deepinfra_get_accountreadGet account
deepinfra_get_rate_limitreadGet rate limit
deepinfra_list_api_tokensreadList API tokens
deepinfra_get_usagereadGet usage
deepinfra_get_usage_tokensreadGet token usage
deepinfra_get_usage_rentreadGet GPU rental usage
deepinfra_list_invoicesreadList invoices
deepinfra_list_deploymentsreadList deployments
deepinfra_get_deploymentreadGet deployment
deepinfra_get_deployment_statsreadGet deployment stats
deepinfra_get_gpu_availabilityreadGet GPU availability
deepinfra_list_modelsreadList models
deepinfra_get_modelreadGet model
deepinfra_get_hardwarereadGet hardware
deepinfra_query_logsreadQuery logs
deepinfra_get_live_metricsreadGet live metrics
deepinfra_start_deploymentwriteStart deployment
deepinfra_stop_deploymentwriteStop deployment
deepinfra_usage_statusmetaUsage status (free-tier meter)
deepinfra_request_featuremetaRequest a missing feature
deepinfra_upgrademetaUpgrade to Pro or Pro+
deepinfra_cancel_subscriptionmetaCancel the Pro subscription

read tools are read-only; write tools mutate data (clients should confirm them); meta tools report usage, manage your subscription or send a feature request.

Pricing

PlanPriceLimit
Free$050 tool calls / month
Pro$9/mo or $90/yr (2 months free)Unlimited*

\*Pro has a fair use limit of 10,000 tool calls a month on this server. For more, write to support@usefulapi.io.

Pro covers this server only. Subscribe with deepinfra_upgrade (it returns a Stripe Checkout link). Cancel any time with deepinfra_cancel_subscription: Pro continues to the end of the paid period, with no refund for the current period, and running deepinfra_upgrade before then undoes the cancel. Or write to support@usefulapi.io.

License

MIT

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