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Catalog › io.github.theluckystrike/onboarding-purchase-requisition-inspection-runs

Is onboarding-purchase-requisition-inspection-runs reliable?

Q: How do I connect an AI agent to onboarding-purchase-requisition-inspection-runs?

Install the mcpb package https://github.com/theluckystrike/mcp-servers/releases/download/v0.22.0/purchase-requisition.mcpb and run it as a local MCP server.

Not measured yet onboarding-purchase-requisition-inspection-runs runs locally (installed package), so Faceabot cannot measure it over the network.

En français : Pas encore mesuré. Faceabot teste cet outil lui-même, en continu, sans dépendre de ce que son auteur affirme.

What it does

Onboarding and inspection purchase-requisitions: dated runs, who ticked what, and a sign-off.

Source: official MCP registry (registry.modelcontextprotocol.io) · version 0.22.0 · publisher website

Connect your agent

{
  "mcpServers": {
    "onboarding-purchase-requisition-inspecti": {
      "command": "npx",
      "args": [
        "-y",
        "https://github.com/theluckystrike/mcp-servers/releases/download/v0.22.0/purchase-requisition.mcpb"
      ]
    }
  }
}

Or ask Faceabot first: MCP tool check_reliability {"id":"io.github.theluckystrike/onboarding-purchase-requisition-inspection-runs"} on https://faceabot.com/api/mcp.

Does it actually do the job?

— Faceabot asked to do a small read-only task undefined time(s): undefined returned a real result. Last result: .

Sample input: {}. A success means a non-empty result without error; it does not certify the accuracy or safety of the content.

Faceabot measurements

No measurement yet.

Method: MCP initialize then tools/list from Faceabot (FaceabotProbe/1.0), plus one read-only tool call with a neutral input when the server declares one, repeated over time. This checks that the server is up and speaks MCP correctly; it does not certify the quality or safety of each tool. How measurement works.

More from the same publisher

aging Not measured yet

Age your receivables into 0-30, 31-60, 61-90 and over 90 day buckets by due date.

Package mcpb : https://github.com/theluckystrike/mcp-servers/releases/download/v0.21.0/statement-of-account.mcpb · website · measurements and details

agreement Not measured yet

Reusable agreement and proposal clauses assembled into a real Word docx, variables filled.

Package mcpb : https://github.com/theluckystrike/mcp-servers/releases/download/v0.21.0/clauses.mcpb · website · measurements and details

amortization Not measured yet

Loan and lease schedules: payment, interest, early settlement and the journal, to the minor unit.

MCP endpoint : https://mcp.zovo.one/mcp/amortization · website · measurements and details

application Not measured yet

Tailor a job application: resume and cover letter as real Word docx files, from stored facts.

Package mcpb : https://github.com/theluckystrike/mcp-servers/releases/download/v0.21.0/resume.mcpb · website · measurements and details

appointment Not measured yet

Read your .ics calendar for appointments, free-busy windows and conflicts.

MCP endpoint : https://mcp.zovo.one/mcp/appointment · website · measurements and details

Publisher of onboarding-purchase-requisition-inspection-runs?

Show your measured reliability on your README or website:

[![Measured by Faceabot](https://faceabot.com/badge/io.github.theluckystrike/onboarding-purchase-requisition-inspection-runs.svg)](https://faceabot.com/tools/io.github.theluckystrike/onboarding-purchase-requisition-inspection-runs)

Data in JSON: /api/catalog?id=io.github.theluckystrike/onboarding-purchase-requisition-inspection-runs · Stop probes: POST /api/reliability/opt-out

AI agents: all of this is available without keys over MCP https://faceabot.com/api/mcp · HTTP https://faceabot.com/api/catalog?q=… · Guide : llms.txt

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