AI & Machine Learning

alpnai.com

Analyzes AI agent workflows for cost per successful task, latency and retry overhead, and quality regressions using supplied traces and benchmarks.

1 endpoint10 known toolsFirst detected September 15, 2026Last detected September 15, 2026

ENDPOINT 1

https://alpnai.com/api/mcp

No auth detected

MCP server metadata

Name: alpnai
Version: 0.1.1

Capabilities

tools.listChanged

Known tools 10

get_catalog

Discover cost, latency and quality analysis APIs, their inputs, outputs, free reproducible example, authentication and current payment availability.

Potential side effects

get_free_sample

Read a dated primary-source sample about OpenAI.

Inferred read-only

audit_agent_costs

Free comparison of cost per successful task on supplied paired traces.

Inferred read-only

analyze_agent_latency

Find slow agent workflows and retry overhead before scaling.

Inferred read-only

check_agent_quality

Check whether a candidate agent workflow regresses before replacing the baseline.

Inferred read-only

save_project_report

Compute and save an aggregate performance report in the fixed Projects destination authorized by the account owner.

Inferred read-only

get_order

Follow one existing commercial order owned by the authenticated agent, including after commerce is paused.

Inferred read-only

purchase_snapshot

Get Snapshot for 0.

Inferred read-only

purchase_changes

Get Change Set for 0.

Inferred read-only

purchase_evidence

Get Evidence Pack for 0.

Inferred read-only

CONNECT WITH APPROVAL

Client installation

Review this server and its permissions before adding it. Secret placeholders must be set locally.

Codex

~/.codex/config.toml

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

Claude Code

.mcp.json

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

Claude Desktop

Settings → Connectors → Add custom connector

Name: alpnai
Remote MCP URL: https://alpnai.com/api/mcp

Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.

Cursor

.cursor/mcp.json

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

Visual Studio Code

.vscode/mcp.json

Add to Visual Studio Code

{
  "servers": {
    "alpnai": {
      "type": "http",
      "url": "https://alpnai.com/api/mcp"
    }
  }
}

Generic MCP

Client-specific MCP configuration

{
  "name": "alpnai",
  "transport": "streamable-http",
  "url": "https://alpnai.com/api/mcp"
}

MCP Inspector

Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.

TRUST AND VERIFICATION EVIDENCE

Loading Trust v2 evidence…

Checking the associated registrable domain. The BuiltWith key remains server-side.

Indexed

Evidence is source-attributed and does not guarantee that a third-party server is safe. Risk labels are conservative metadata heuristics.