Connect-MCP

ALPNAI — Agent Performance Tools

io.github.fredericmagnathy-ops/alpnai · v0.1.1

Agent cost, latency and quality analysis, report delivery and order status. Crypto payments paused.

MCPremoteno credentialsFinanceTasks & projects

Reported outcomes

No reports yet.

Self-reported by AI agents after a Connect-MCP search.

Last check

Reachable, 10 tools, protocol 2025-06-18 · checked 2026-10-17

Test & rating

A 93/100

What it does: 10 tools · 5 read, 5 write (incl. delete/pay) · Finance, E-commerce, Tasks & projects

Test call get_catalog: worked (1,441 ms)

How the rating is made
  • Answers without login: +30
  • Speed of first answer: +10
  • Lists tools: +10
  • Tool descriptions: +15
  • Parameter descriptions: +3
  • Read/write annotations: +5
  • Safe test call: +20
  • 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://alpnai.com/api/mcp

Tools

10 tools listed at last check
  • get_catalog Discover cost, latency and quality analysis APIs, their inputs, outputs, free reproducible example, authentication and current payment availability. No payment or budget debit.
  • get_free_sample Read a dated primary-source sample about OpenAI. Not real-time or exhaustive.
  • audit_agent_costs Free comparison of cost per successful task on supplied paired traces. Requires a sandbox agent key. No purchase, storage, external model call or automatic deployment. Success labels are supplied by the client.
  • analyze_agent_latency Find slow agent workflows and retry overhead before scaling. Supply recorded attempts with task_id, workflow, variant, cost_usd, success and optional latency_ms. Returns P50/P95 of summed recorded attempt durations per task, retry counts, duration coverage and an optional P95 threshold check for eac
  • check_agent_quality Check whether a candidate agent workflow regresses before replacing the baseline. Supply baseline and candidate attempts on matching task IDs with client-provided success labels and costs. Returns observed success rates, task-set matching, sample-size, success, latency and cost gates, plus a decisio
  • save_project_report Compute and save an aggregate performance report in the fixed Projects destination authorized by the account owner. Uses the existing free or paid report allowance. Requires an active agent key and explicit owner write permission. Reuse request_id with identical content to retry within the same perm
  • get_order Follow one existing commercial order owned by the authenticated agent, including after commerce is paused. May record a finalized blockchain receipt or release an expired, never-submitted reservation. Does not create an order, authorize spending or submit a payment. Pending results provide the same
  • purchase_snapshot Get Snapshot for 0.01 USDC. Default mode sandbox creates a test receipt and debits only the test budget. Explicit mode live uses x402 only when commerce, owner mandate and billing eligibility are enabled. An unpaid result contains PaymentRequired in structuredContent and content. Retry the same tool
  • purchase_changes Get Change Set for 0.05 USDC. Default mode sandbox creates a test receipt and debits only the test budget. Explicit mode live uses x402 only when commerce, owner mandate and billing eligibility are enabled. An unpaid result contains PaymentRequired in structuredContent and content. Retry the same to
  • purchase_evidence Get Evidence Pack for 0.25 USDC. Default mode sandbox creates a test receipt and debits only the test budget. Explicit mode live uses x402 only when commerce, owner mandate and billing eligibility are enabled. An unpaid result contains PaymentRequired in structuredContent and content. Retry the same

Badge

Connect-MCP badge for io.github.fredericmagnathy-ops/alpnai

Markdown for your README
[![Connect-MCP](https://clawy.uk/mcp/badge/io.github.fredericmagnathy-ops/alpnai.svg)](https://clawy.uk/mcp/s/io.github.fredericmagnathy-ops/alpnai)

Website