# ALPNAI — Agent Performance Tools (remote · alpnai.com)

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

- Trust score: 70/100 (medium)
- Change this week: +4
- Registry status: active
- Liveness: live
- Owner verified: no
- Last scored: 2026-09-28

> **Recent critical change**: Authorization (2026-09-15). See the changelog below before you install this server.

## Components

- remote · `alpnai.com`: 70/100 (this document), [markdown](https://verifymcp.io/servers/fredericmagnathy-ops-alpnai/api-mcp.md), [page](https://verifymcp.io/servers/fredericmagnathy-ops-alpnai/api-mcp)

## Channel facts

- Endpoint: `https://alpnai.com/api/mcp`
- Transports: `streamable-http`
- Auth: `none`
- Version: `0.1.1`

## Trust breakdown

How this component scores in each security and reliability category. Every signal is checked automatically against the live server, and we only credit what we can confirm. Scores are 0–100 per category. Scoring method: https://verifymcp.io/docs/scoring (what has changed: https://verifymcp.io/docs/scoring/changelog)

Scored 2026-09-28.

- **Endpoint Security**: 60/100
  - The endpoint's TLS certificate is valid, in date, and uses a strong key.
  - Authorisation check failed: no authorisation is required to call this server, and it exposes a tool marked destructive (purchase_snapshot).
  - HTTPS is enforced; there's no plaintext access path.
  - HSTS check failed: the Strict-Transport-Security header is absent.
  - DNSSEC is configured correctly; the domain's records validate against the full chain to the root.
- **Transport & Reachability**: 100/100
  - Verified streamable-http transport via a live MCP handshake.
- **Schema Quality & AI Usability**: 69/100
  - AI-judged instruction clarity (good).
  - Context-footprint check failed: tool/resource definitions use about 1280 tokens (~128/item across 10 items; 10 tools + 0 resources), over budget; trim descriptions and params.
  - Usage-examples check failed: none of the tools include examples.
- **Stability & Change Management**: 47/100
  - Stability observed for 14 of 30 days with no destabilising changes; credit accrues until the full window elapses.
- **Tool Coverage**: 82/100
  - 100% of tools have a non-trivial description (not blank, and not just the tool's name).
  - 36% of tool parameters carry a description.
  - Structured output schemas are declared (30% of tools); any adoption earns full credit.
- **Tool Safety**: 100/100
  - No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.
  - We read all 10 captured tool definition(s), and no name or description among them implies an irreversible operation.
  - An AI judge read all 10 captured unit(s) of tool text and found none that tries to manipulate the model reading it.
- **Capabilities**: 100/100
  - Implements a current MCP spec version (2026-07-28).

## Install

### How do I install the ALPNAI — Agent Performance Tools MCP server?

ALPNAI — Agent Performance Tools is a hosted endpoint at https://alpnai.com/api/mcp, so there is nothing to install locally. Ready-made configuration for Claude, Cursor, VS Code, Codex and 5 more is on this page, copied from each client's own documentation.

### Claude

```bash
claude mcp add --transport http fredericmagnathy-ops-alpnai 'https://alpnai.com/api/mcp'
```

### Cursor

```json
{
  "mcpServers": {
    "fredericmagnathy-ops-alpnai": {
      "url": "https://alpnai.com/api/mcp"
    }
  }
}
```

### VS Code

```json
{
  "servers": {
    "fredericmagnathy-ops-alpnai": {
      "type": "http",
      "url": "https://alpnai.com/api/mcp"
    }
  }
}
```

### Codex

```toml
[mcp_servers.fredericmagnathy-ops-alpnai]
url = "https://alpnai.com/api/mcp"
```

### opencode

```json
{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "fredericmagnathy-ops-alpnai": {
      "type": "remote",
      "url": "https://alpnai.com/api/mcp",
      "enabled": true
    }
  }
}
```

### OpenClaw

```bash
openclaw mcp add fredericmagnathy-ops-alpnai --url 'https://alpnai.com/api/mcp' --transport streamable-http
```

### Hermes

```yaml
mcp_servers:
  fredericmagnathy-ops-alpnai:
    url: "https://alpnai.com/api/mcp"
```

### Netclaw

```json
{
  "McpServers": {
    "fredericmagnathy-ops-alpnai": {
      "Transport": "http",
      "Url": "https://alpnai.com/api/mcp"
    }
  }
}
```

### Vellum

```bash
assistant mcp add fredericmagnathy-ops-alpnai -t streamable-http -u 'https://alpnai.com/api/mcp'
```

### Other

```json
{
  "mcpServers": {
    "fredericmagnathy-ops-alpnai": {
      "type": "http",
      "url": "https://alpnai.com/api/mcp"
    }
  }
}
```

The mcpServers block is a cross-client convention. Remote transports vary, so check your client's docs.

## Changelog

Every change recorded for this component, newest first. Days that predate change tracking, or that we cannot explain, say so: "we were watching and nothing happened" and "we were not watching" are different claims.

### 2026-09-28 (score 70, +1)

- [functional] We updated how we score, so this day's move reflects our rubric, not a change to the server

### 2026-09-26 (score 69, +1)

No change was recorded against any check on this day. Stability & Change Management went from 37 to 40. That category is still filling its 30-day observation window: 11 days of observed history at the previous scan, 12 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-09-25 (score 68, 0)

- [functional] We updated how we score, so this day's move reflects our rubric, not a change to the server

### 2026-09-24 (score 68, +1)

No change was recorded against any check on this day. Stability & Change Management went from 30 to 33. That category is still filling its 30-day observation window: 9 days of observed history at the previous scan, 10 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-09-22 (score 67, +1)

No change was recorded against any check on this day. Stability & Change Management went from 23 to 27. That category is still filling its 30-day observation window: 7 days of observed history at the previous scan, 8 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-09-20 (score 66, +1)

No change was recorded against any check on this day. Stability & Change Management went from 17 to 20. That category is still filling its 30-day observation window: 5 days of observed history at the previous scan, 6 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-09-18 (score 65, +1)

No change was recorded against any check on this day. Stability & Change Management went from 10 to 13. That category is still filling its 30-day observation window: 3 days of observed history at the previous scan, 4 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-09-16 (score 64, +2)

- [security improvement] DNSSEC: unverified → pass

## MCP tools (10)

### `get_catalog` (~39 tokens)

ALPNAI service 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` (~25 tokens)

OpenAI source sample

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

### `audit_agent_costs` (~62 tokens)

Spend Proof cost analysis

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.

Input parameters:

- `config` (object)
- `runs` (array, required)

Output parameters:

- `automatic_deployment_authorized` (boolean)
- `config` (object)
- `data_provenance` (string)
- `experimental_bias_control` (string)
- `input_attempt_records` (integer)
- `methodology` (object)
- `purpose` (string)
- `schema_version` (string)
- `workflows` (array)

### `analyze_agent_latency` (~128 tokens)

Latency Lab

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.

Input parameters:

- `config` (object)
- `runs` (array, required)

Output parameters:

- `groups` (array)
- `measurement` (string)
- `percentile_method` (string)
- `schema_version` (string)

### `check_agent_quality` (~131 tokens)

Quality Gate

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.

Input parameters:

- `config` (object)
- `runs` (array, required)

Output parameters:

- `config` (object)
- `schema_version` (string)
- `workflows` (array)

### `save_project_report` (~174 tokens)

Save an agent performance 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.

Input parameters:

- `input` (object, required): Recorded attempts, not prompts or secrets. Identical rows count as separate attempts. All three analysis tools accept this same input. The runtime validator additionally enforces six-decimal micro-US…
- `request_id` (string, required)
- `title` (string, required)

### `get_order` (~97 tokens)

ALPNAI order status and delivery

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.

Input parameters:

- `order_id` (string, required): The original order_id returned by the purchase.

### `purchase_snapshot` (~207 tokens)

Snapshot purchase

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.

Input parameters:

- `idempotency_key` (string, required)
- `mandate_id` (string): Owner-authorized commercial mandate ID. Alternatively send X-AlpNAI-Mandate in the MCP request headers.
- `mode` (string): Sandbox is the default. Live explicitly requests the existing authorized x402 purchase flow.
- `since` (string)

### `purchase_changes` (~208 tokens)

Change Set purchase

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.

Input parameters:

- `idempotency_key` (string, required)
- `mandate_id` (string): Owner-authorized commercial mandate ID. Alternatively send X-AlpNAI-Mandate in the MCP request headers.
- `mode` (string): Sandbox is the default. Live explicitly requests the existing authorized x402 purchase flow.
- `since` (string)

### `purchase_evidence` (~209 tokens)

Evidence Pack purchase

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.

Input parameters:

- `idempotency_key` (string, required)
- `mandate_id` (string): Owner-authorized commercial mandate ID. Alternatively send X-AlpNAI-Mandate in the MCP request headers.
- `mode` (string): Sandbox is the default. Live explicitly requests the existing authorized x402 purchase flow.
- `since` (string)

## Diagnostics

Captured diagnostic sections: TLS, DNSSEC, Authorisation, Transports. The full working is on the page: https://verifymcp.io/servers/fredericmagnathy-ops-alpnai/api-mcp#diagnostics

## Score history

- 2026-09-28: 70
- 2026-09-27: 69
- 2026-09-26: 69
- 2026-09-25: 68
- 2026-09-24: 68
- 2026-09-23: 67
- 2026-09-22: 67
- 2026-09-21: 66
- 2026-09-20: 66
- 2026-09-19: 65
- 2026-09-18: 65
- 2026-09-17: 64
- 2026-09-16: 64
- 2026-09-15: 62
- 2026-09-14: 62

## Common questions

### What is the ALPNAI — Agent Performance Tools MCP server?

ALPNAI — Agent Performance Tools is an MCP server listed in the public MCP registry as io.github.fredericmagnathy-ops/alpnai. Agent cost, latency and quality analysis, report delivery and order status. Crypto payments paused. This page covers its hosted endpoint (https://alpnai.com/api/mcp).

### Is the ALPNAI — Agent Performance Tools MCP server safe to use?

ALPNAI — Agent Performance Tools scores 70 out of 100 on VerifyMCP. That is a record of what we were able to check automatically, not an endorsement. The category breakdown on this page shows every signal behind the number, including the ones we could not confirm.

### What tools does the ALPNAI — Agent Performance Tools MCP server expose?

ALPNAI — Agent Performance Tools exposes 10 tools: get_catalog, get_free_sample, audit_agent_costs, analyze_agent_latency, check_agent_quality, and 5 more. Their descriptions and schemas cost roughly 1,280 tokens of context every time the server is loaded.

### Does the ALPNAI — Agent Performance Tools MCP server require authentication?

No. We connected to ALPNAI — Agent Performance Tools without credentials and it answered, so anything it exposes is reachable by anyone who knows the address.

### Is the ALPNAI — Agent Performance Tools MCP server still maintained?

ALPNAI — Agent Performance Tools is still listed as active in the MCP registry. We last reached this channel on 28 September 2026. Those dates come from our own scans of the registry and the channel itself, not from anything the publisher announced.

## Links

- Remote endpoint: https://alpnai.com/api/mcp
- Website: https://alpnai.com/en/docs/mcp
- Changelog RSS feed: https://verifymcp.io/servers/fredericmagnathy-ops-alpnai/api-mcp.xml
- Changelog JSON feed: https://verifymcp.io/servers/fredericmagnathy-ops-alpnai/api-mcp.json
- HTML version of this page: https://verifymcp.io/servers/fredericmagnathy-ops-alpnai/api-mcp