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cc.operandi/operandi

PYPI · OPERANDI-MCP · SCANNED AUG 3

Grounded, safety-checked appliance operation packages for robots and agents. Zero-config trial.

Available components

−12 this week 64 Trust /100
Trust breakdown (6 categories)

How this component scores in each security and reliability category. Every signal is checked automatically from public evidence about the published package, including repeated runs of it in an isolated sandbox, and we only credit what we can confirm. How we score →

Supply Chain Security100
  • No malware found by supply-chain analysis.Pass
  • No known CVEs affecting this package version or its production dependencies.Pass
  • Runs hatchling.build at install time, a recognised native-build step with no shell scripting around it. View diagnostics → Pass
  • No production dependencies, so there is no dependency health to assess. View diagnostics → Pass
Provenance & Transparency32
Schema Quality & AI Usability71
  • AI-judged instruction clarity (good).Pass
  • Tool/resource definitions use about 397 tokens (~99/item across 4 items; 4 tools + 0 resources), lean.Pass
  • Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management0
  • Stability not yet verified: not enough scan history yet (needs a 30-day window).Unverified
Tool Coverage100
  • 100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
  • 100% of tool parameters carry a description.Pass
Capabilities60
  • Spec-recency check failed: implements MCP spec 2025-06-18; the latest is 2026-07-28. See how to fix → Fail

Unverified: 1 category

A category scored 0 because we could not verify it: a data source with nothing on this package, evidence we could not reach, or a check we could not run. We only credit what we can confirm.

Install

Add this component to your MCP client. Where a client-specific snippet is available, pick your client below and copy it straight into your config; otherwise use the connection detail shown.

pypi · operandi-mcp

# add to Claude Code
claude mcp add cc-operandi-operandi -- uvx operandi-mcp
# add to Codex CLI
codex mcp add cc-operandi-operandi -- uvx operandi-mcp
// opencode.json
{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "cc-operandi-operandi": {
      "type": "local",
      "command": [
        "uvx",
        "operandi-mcp"
      ],
      "enabled": true
    }
  }
}
# add to OpenClaw
openclaw mcp add cc-operandi-operandi --command uvx --arg operandi-mcp
# ~/.hermes/config.yaml
mcp_servers:
  cc-operandi-operandi:
    command: "uvx"
    args: ["operandi-mcp"]
// mcp.json
{
  "mcpServers": {
    "cc-operandi-operandi": {
      "command": "uvx",
      "args": [
        "operandi-mcp"
      ]
    }
  }
}
Changelog

Every change we have recorded for this component, newest first. Security-relevant changes are always shown. ▲ marks a change for the better, ▼ a change for the worse; unmarked changes are neutral.

  • 3 Aug 26 +15
    • Malware scan: unverified → pass security
  • 2 Aug 26 0
    • Malware scan: unverified → pass security
  • 1 Aug 26 −9
    • We updated how we score, so this day's move reflects our rubric, not a change to the server See what changed → functional
  • 31 Jul 26 −18
    • Malware scan: pass → unverified security
  • 27 Jul 26 0
    • We updated how we score, so this day's move reflects our rubric, not a change to the server See what changed → functional
  • 26 Jul 26 76

    First indexed and scored.

Diagnostics

Diagnostic detail from the automated scan of this channel: what the scanner observed at each step, so you can see exactly where a check passed or failed. It is informational only and never changes the trust score.

Captured 3 Aug 2026 · Analysed pypi/[email protected]

Provenance none

Ecosystem: pypi · Outcome: none

Install scripts 1 script
Hook Tier Command
build_backend allowlisted hatchling.build
Dependencies 0 packages

0 packages in the resolved dependency tree.

MCP tools — 4 exposed · ~397 tokens

The tools this component advertises to a client, with an estimated token cost for each. Expand a tool to see its parameters and schema. The per-tool counts are indicative and are not scored directly; the schema's total context footprint is one signal in Schema Quality & AI Usability.

Tool Tokens
find_by_capability ~73

Find appliances by what they DO (e.g. 'heat', 'wash', 'brew', 'defrost') — useful when an agent has a goal but not a specific model in mind.

NameTypeReqDescription
capabilitystringyesA function tag, e.g. 'heat' / 'wash' / 'brew'.

No output schema declared.

No examples provided.

get_operation_package ~126

Get the robot-executable operation package for an appliance: model-exact ordered procedures, a control map with grounding (where each control is + how it is actuated), per-step verification signals, a recovery state machine, and a safety envelope (hazards / interlocks / never-do). This is the grounded knowledge a general model hallucinates without. Optionally target one procedure (e.g. 'defrost').

NameTypeReqDescription
procedurestringOptional procedure name/id (default: the primary task).
refstringyesCatalog slug or model id from identify_appliance.

No output schema declared.

No examples provided.

identify_appliance ~152

Resolve which appliance an agent/robot is looking at, from observed text or panel labels, to an OPERANDI catalog object. Call this first, then get_operation_package with the returned slug. Returns ranked matches with confidence.

NameTypeReqDescription
brandstringOptional brand hint if known.
categorystringOptional category hint, e.g. 'microwave_oven'.
limitintegerMax matches (1-20, default 5).
panel_labelsarrayOptional control labels OCR'd off the panel (helps when the nameplate is hidden).
querystringyesObserved nameplate / model text (e.g. 'Samsung ME20H705MSS').

No output schema declared.

No examples provided.

list_appliances ~46

Browse the appliances OPERANDI can operate, optionally filtered by category.

NameTypeReqDescription
categorystringOptional category filter.
limitintegerMax results (default 25).

No output schema declared.

No examples provided.