mcpbeat

operant-mcp MCP Server

io.github.saagpatel/operant-mcp
answering

operant-mcp is answering right now. Last checked 14 min ago. 35 installs a week from npm. It exposes 5 tools. Last commit 3 Aug 2026.

Read-only MCP server for the OPERANT AI operating-agent calibration benchmark.

Installs per day peak 149 · avg 11 · -3% w/w
a month agotoday
Uptime history 39 hours of history
39 hours agonow
100.0%
Uptime 24h
91 of 91 checks
5
Tools
read from the server
134 ms
Response time
average over 24h
35
Installs / week
npm and PyPI

Connect this server

Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 14 min ago.

run in your terminal
claude mcp add operant-mcp --transport http https://operant-mcp.saagar210.workers.dev/mcp
~/Library/Application Support/Claude/claude_desktop_config.json
{
  "mcpServers": {
    "operant-mcp": {
      "url": "https://operant-mcp.saagar210.workers.dev/mcp"
    }
  }
}
~/.codex/config.toml
[mcp_servers.operant-mcp]
url = "https://operant-mcp.saagar210.workers.dev/mcp"
.cursor/mcp.json
{
  "mcpServers": {
    "operant-mcp": {
      "url": "https://operant-mcp.saagar210.workers.dev/mcp"
    }
  }
}
.vscode/mcp.json
{
  "mcpServers": {
    "operant-mcp": {
      "url": "https://operant-mcp.saagar210.workers.dev/mcp"
    }
  }
}

Available tools 5

Read directly from the server with tools/list, grouped by what they act on. If a tool disappears, we record the date.

case
get_case
Return the full case for a given pair_id (axes 1/2/4) or id (axis 3): malign and benign task prompts, expected decisions, grounding rationale, and bypass patterns. Axis 3 cases are single (unmatched) and use an 'id' field instead of 'pair_id'. Use list_cases to browse available ids.
cases
list_cases
Return case metadata (no full task prompts): pair_id/id, axis, tier, grounding, and side indicators (malign/benign for axes 1/2/4; null for axis 3). Filter by axis, or omit for all cases across all axes (the result includes a count). Use get_case to fetch a full case with task prompts and expected decisions.
compare
compare_models
Place two retained calculation profiles side by side by display_name substring. Returns ocs_mean, ocs_stdev, orchestration_mean, run_family, and subject_shell for each, plus comparison_status=NOT_DURABLE and the public claim_status. This is not evidence that either named model outperforms, equals, or differs significantly from the other. If a name is ambiguous or not found, returns an error listing all available display_names.
methodology
get_methodology
Return the benchmark design: the 4 axes, the OCS formula (Youden's J), the 5 decision labels (PROCEED, PROCEED_SANCTIONED, REFUSE, ESCALATE, REROUTE), scoring blocks, and a concise what-it-measures / what-it-doesn't summary. Sourced from the baked case-file metadata.
results
get_results
Return retained model calculation profiles plus generated_at, claim_status, claims_at_risk, and the bounded evidence_binding. These rows are not durable named-model performance claims. Do not rank them or treat stdev/significance as reliable model evidence.

Endpoints

URLTransportStateLatencyChecked
https://operant-mcp.saagar210.workers.dev/mcp streamable-http answering 192 ms 14 min ago

operant-mcp — questions

Answers built from our own checks of this server.

What can operant-mcp do?
It exposes 5 tools, read directly from the server on our last check. Among them: compare_models, get_case, get_methodology, get_results, list_cases. The full list with descriptions is on this page — we take it from the server itself via tools/list, not from a README. How MCP servers expose tools in the first place →
Is operant-mcp working right now?
We send a real MCP handshake every 15 minutes. Over the last 24 hours 91 of 91 checks got a reply (100.0%), average response time 134 ms. The bar chart above shows every period we have measured.
How do I connect operant-mcp?
Copy the ready config from this page — we generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each with the file path that client actually reads. It is a remote server, so there is nothing to install — the client connects to the address.
Does operant-mcp need an API key?
No. operant-mcp completed a full MCP handshake with us as an anonymous client and listed its tools without asking for anything. All 5 of them are readable on this page. This is what we observed, not what the docs claim.
How fast is operant-mcp?
It answers our handshake in 134 ms on average, which is faster than 76% of all working MCP servers we measure. That puts it in the quick quarter of the ecosystem. The comparison comes from our own checks across the whole registry, every 15 minutes.
How many people use operant-mcp?
The npm package saagar-operant-mcp was installed 35 times in the last week. Week over week that is -3%. We show installs rather than GitHub stars on purpose: a star is a bookmark, an install is someone actually running it.
Is operant-mcp open source?
Yes — it is published under the MIT licence, written in Python and 0 stars on GitHub. The source link is on this page, so you can read exactly what it does with your data before you connect it.