ALPNAI — Agent Performance Tools MCP Server

by fredericmagnathy-ops Your server? Claim it

answering

ALPNAI — Agent Performance Tools is answering right now. Last checked 1 min ago. It exposes 10 tools.

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

Uptime history 4 days of history

4 days agonow

100.0%

Uptime 24h

92 of 92 checks

Tools

read from the server

1550 ms

Response time

average over 24h

open, no key

Access

streamable-http

What changed 16

Every tool that appeared, vanished or quietly changed what it asks for. Recorded since 15 September 2026. No other catalogue keeps this.

15 Sep 5 tool descriptions were rewritten11 times that day analyze_agent_latency, check_agent_quality, purchase_changes and 2 more

15 Sep 3 tools changed the parameters they ask for purchase_changes, purchase_evidence, purchase_snapshot

15 Sep a tool appeared get_order

15 Sep a tool changed version

and 6 more, back to 15 September 2026

Nothing serious here today

Today is the operative word: we check ALPNAI — Agent Performance Tools every 15 minutes and re-read its code on every release. Watch it and you find out the day that stops being true.

Connect this server

Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 1 min ago.

Claude Code Claude Desktop Codex Cursor VS Code

run in your terminal

claude mcp add alpnai --transport http https://alpnai.com/api/mcp

~/Library/Application Support/Claude/claude_desktop_config.json

{
  "mcpServers": {
    "alpnai": {
      "url": "https://alpnai.com/api/mcp"
    }
  }
}

~/.codex/config.toml

[mcp_servers.alpnai]
url = "https://alpnai.com/api/mcp"

.cursor/mcp.json

{
  "mcpServers": {
    "alpnai": {
      "url": "https://alpnai.com/api/mcp"
    }
  }
}

.vscode/mcp.json

{
  "mcpServers": {
    "alpnai": {
      "url": "https://alpnai.com/api/mcp"
    }
  }
}

Available tools 10

Read directly from the server with tools/list, grouped by what they act on. If a tool disappears, we record the date.

purchase

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 tool and idempotency key with the signed PaymentPayload in params._meta["x402/payment"]. Confirmed settlement is returned in result._meta["x402/payment-response"]. For a pending order, call get_order with the original order_id; do not submit another payment. REST continuation and PAYMENT-SIGNATURE headers remain supported. Never send a private key.

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 tool and idempotency key with the signed PaymentPayload in params._meta["x402/payment"]. Confirmed settlement is returned in result._meta["x402/payment-response"]. For a pending order, call get_order with the original order_id; do not submit another payment. REST continuation and PAYMENT-SIGNATURE headers remain supported. Never send a private key.

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 and idempotency key with the signed PaymentPayload in params._meta["x402/payment"]. Confirmed settlement is returned in result._meta["x402/payment-response"]. For a pending order, call get_order with the original order_id; do not submit another payment. REST continuation and PAYMENT-SIGNATURE headers remain supported. Never send a private key.

agent

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 decision such as collect_more_data, quality_regression or candidate_for_controlled_trial. Optional thresholds use config. It evaluates the recorded labels, not the correctness of answers or future performance. Free calculation; requires an active ALPNAI agent key; no payment or automatic deployment.

analyze

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 each workflow and variant. Missing durations produce null percentiles, not zero latency. This measures supplied durations, not live end-to-end service latency. Free calculation; requires an active ALPNAI agent key; no payment or automatic deployment.

audit

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.

catalog

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.

free

get_free_sample

Read a dated primary-source sample about OpenAI. Not real-time or exhaustive.

order

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 order ID and Retry-After; repeat get_order, never purchase again. Requires only the existing agent key.

save

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 permission grant. No report reading, deletion, subscription or payment authorization. Send measurements without secrets.

Endpoints

URL	Transport	State	Latency	Checked
https://alpnai.com/api/mcp	streamable-http	answering	2208 ms	1 min ago

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6 tools answering

ALPNAI — Agent Performance Tools — questions

Answers built from our own checks of this server.

What can ALPNAI — Agent Performance Tools do?

It exposes 10 tools, read directly from the server on our last check. Among them: analyze_agent_latency, audit_agent_costs, check_agent_quality, get_catalog, get_free_sample, get_order and 4 more. The full list with descriptions is on this page — we take it from the server itself via tools/list, not from a README. How MCP servers expose tools in the first place →

Is ALPNAI — Agent Performance Tools working right now?

We send a real MCP handshake every 15 minutes. Over the last 24 hours 92 of 92 checks got a reply (100.0%), average response time 1550 ms. The bar chart above shows every period we have measured.

How do I connect ALPNAI — Agent Performance Tools?

Copy the ready config from this page — we generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each with the file path that client actually reads. It is a remote server, so there is nothing to install — the client connects to the address.

Does ALPNAI — Agent Performance Tools need an API key?

No. ALPNAI — Agent Performance Tools completed a full MCP handshake with us as an anonymous client and listed its tools without asking for anything. All 10 of them are readable on this page. This is what we observed, not what the docs claim.

How fast is ALPNAI — Agent Performance Tools?

It answers our handshake in 1550 ms on average, which is faster than 1% of all working MCP servers we measure. That is on the slow side — worth knowing if the tool sits inside an interactive loop. The comparison comes from our own checks across the whole registry, every 15 minutes.