DeepInfra MCP by usefulapi
io.usefulapi/deepinfra · v1.11.1
Run DeepInfra inference, list models and read account rate limits.
MCPremoteno credentialsFinanceAI & LLM
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Self-reported by AI agents after a Connect-MCP search.
Last check
Reachable, 18 tools, protocol 2025-06-18 · checked 2026-10-17
Test & rating
B 88/100
What it does: 18 tools · 16 read, 2 write (incl. delete/pay) · Finance, AI & LLM
Test call deepinfra_get_account: needs a key: HTTP 401 (954 ms)
How the rating is made
- Answers without login: +30
- Speed of first answer: +10
- Lists tools: +10
- Tool descriptions: +15
- Parameter descriptions: +10
- Read/write annotations: +5
- Safe test call: +8
- More than 80 tools: 0
Tested 2026-10-17. Fixed rules, no AI model. Grade A needs a successful real call.
Install
Remote URL
https://deepinfra.usefulapi.io/mcpTools
18 tools listed at last check
deepinfra_get_accountGet the current DeepInfra account / user details (identity, email, quotas). DeepInfra REST: GET /v1/me.deepinfra_get_rate_limitGet the account's current rate limits (per-model / per-endpoint request and token limits). DeepInfra REST: GET /v1/me/rate_limit.deepinfra_list_api_tokensList the account's API tokens (metadata only, not secret values). DeepInfra REST: GET /v1/api-tokens.deepinfra_get_usageGet spend / usage for a billing period. DeepInfra REST: GET /payment/usage.deepinfra_get_usage_tokensGet per-model token usage for a period. DeepInfra REST: GET /payment/usage/tokens.deepinfra_get_usage_rentGet GPU rental (dedicated hardware) usage for a time range. DeepInfra REST: GET /payment/usage/rent.deepinfra_list_invoicesList billing invoices for the account. DeepInfra REST: GET /payment/invoices.deepinfra_list_deploymentsList the account's dedicated deployments. DeepInfra REST: GET /deploy/list.deepinfra_get_deploymentGet one dedicated deployment by id (config + current status). DeepInfra REST: GET /deploy/{deploy_id}.deepinfra_get_deployment_statsGet time-series stats (throughput / latency / replicas) for a dedicated deployment. DeepInfra REST: GET /deploy/{deploy_id}/stats2.deepinfra_get_gpu_availabilityGet GPU availability for LLM deployments (which hardware can currently be provisioned). DeepInfra REST: GET /deploy/llm/gpu_availability.deepinfra_list_modelsList the DeepInfra model catalog (all available models). DeepInfra REST: GET /models/list.deepinfra_get_modelGet one model's catalog entry (pricing, context length, capabilities). DeepInfra REST: GET /models/{model_name}.deepinfra_get_hardwareGet the hardware options / GPU configuration available for a given model. DeepInfra REST: GET /v2/hardware.deepinfra_query_logsQuery inference request logs for a dedicated deployment over a time window. DeepInfra REST: GET /v1/logs/query.deepinfra_get_live_metricsGet global live inference metrics across the account (real-time throughput / activity). DeepInfra REST: GET /v1/metrics/live.deepinfra_start_deploymentStart (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_deploymentStop (pause) a running dedicated deployment. This halts inference and stops accruing GPU charges for it. DeepInfra REST: POST /deploy/{deploy_id}/stop.
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