ALPNAI — Agent Performance Tools is an MCP server with 10 tools an agent can call, among them analyze_agent_latency, audit_agent_costs, check_agent_quality. It answers at https://alpnai.com/api/mcp over streamable HTTP, and it listed its tools to an anonymous client, so no sign-in was needed for that. Our probes reached it 4 of 4 times since 14 September 2026; the last check, on 18 October 2026, succeeded.
Agent cost, latency and quality analysis, report delivery and order status. Crypto payments paused.
Description as the publisher wrote it.
| Tool | What it does |
|---|---|
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, d Inputs: runs, config |
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. Inputs: runs, config |
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, Inputs: runs, config |
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. |
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 spe Inputs: order_id |
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 Payment Inputs: idempotency_key, since, mode, mandate_id |
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 Paym Inputs: idempotency_key, since, mode, mandate_id |
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 PaymentRe Inputs: idempotency_key, since, mode, mandate_id |
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 req Inputs: request_id, title, input |
Every block below points at https://alpnai.com/api/mcp. Pick your client and copy.
claude mcp add --transport http alpnai-agent-performance-tools https://alpnai.com/api/mcp
{
"mcpServers": {
"alpnai-agent-performance-tools": {
"command": "npx",
"args": ["-y", "mcp-remote", "https://alpnai.com/api/mcp"]
}
}
}{
"mcpServers": {
"alpnai-agent-performance-tools": {
"url": "https://alpnai.com/api/mcp"
}
}
}{
"servers": {
"alpnai-agent-performance-tools": {
"type": "http",
"url": "https://alpnai.com/api/mcp"
}
}
}{
"context_servers": {
"alpnai-agent-performance-tools": {
"url": "https://alpnai.com/api/mcp"
}
}
}{
"mcpServers": {
"alpnai-agent-performance-tools": {
"serverUrl": "https://alpnai.com/api/mcp"
}
}
}{
"mcpServers": {
"alpnai-agent-performance-tools": {
"url": "https://alpnai.com/api/mcp"
}
}
}name: ALPNAI — Agent Performance Tools
version: 0.0.1
schema: v1
mcpServers:
- name: ALPNAI — Agent Performance Tools
type: streamable-http
url: https://alpnai.com/api/mcp{
"mcpServers": {
"alpnai-agent-performance-tools": {
"httpUrl": "https://alpnai.com/api/mcp"
}
}
}{
"mcpServers": {
"alpnai-agent-performance-tools": {
"type": "http",
"url": "https://alpnai.com/api/mcp"
}
}
}{
"mcpServers": {
"alpnai-agent-performance-tools": {
"url": "https://alpnai.com/api/mcp"
}
}
}goose://extension?url=https%3A%2F%2Falpnai.com%2Fapi%2Fmcp&type=streamable_http&id=alpnai-agent-performance-tools&name=ALPNAI%20%E2%80%94%20Agent%20Performance%20Tools
It answered our last check on 18 October 2026 in 1572 ms. Over 4 checks since 14 September 2026 it answered 4. Status here comes from Neuronto's own probes, not from the publisher.
10, as returned by the server's own tools/list on 24 September 2026: analyze_agent_latency, audit_agent_costs, check_agent_quality, get_catalog, get_free_sample, get_order, purchase_changes, purchase_evidence, and 2 more.
It answered our last check on 18 October 2026 in 1572 ms. Over 4 checks since 14 September 2026 it answered 4.
Put the server under mcpServers in ~/.cursor/mcp.json with the URL https://alpnai.com/api/mcp. The exact JSON is above, with the same setup for Claude Code, Claude Desktop, VS Code, Windsurf, Zed, Gemini CLI and the rest.
It listed its tools to an anonymous client, so reading the tool list needs no key. Individual tools can still ask for credentials in their own inputs.
Publisher: io.github.fredericmagnathy-ops. Endpoint host: alpnai.com. ARD identifier: urn:air:io.github.fredericmagnathy-ops:mcp:alpnai.
First indexed 14 September 2026. The tools are exactly what the server returned; nothing on this page
is inferred from its name. Ranking in Neuronto search is never for sale.