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FLOPS Compute Intelligence

PYPI · FLOPSINDEX-MCP · SCANNED SEP 20

GPU compute price indices over MCP; every value carries a verify URL. Five key-free tools.

Available components

0 this week 80 Trust /100
Trust breakdown (7 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 → Why this is hard to 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 setuptools.build_meta at install time, a recognised native-build step with no shell scripting around it. View diagnostics → Pass
  • 0 of 29 dependencies flagged as unhealthy. View diagnostics → Pass
Provenance & Transparency32
Schema Quality & AI Usability82
  • AI-judged instruction clarity (excellent).Pass
  • Context-footprint check failed: tool/resource definitions use about 609 tokens (~121/item across 5 items; 5 tools + 0 resources), over budget; trim descriptions and params. See how to fix → Fail
  • Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management83
  • Stability observed for 25 of 30 days with no destabilising changes; credit accrues until the full window elapses.Partial
Tool Coverage95
  • 100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
  • 86% of tool parameters carry a description.Partial
Tool Safety100
  • No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.Pass
  • We read all 5 captured tool definition(s), and no name or description among them implies an irreversible operation.Pass
  • An AI judge read all 5 captured unit(s) of tool text and found none that tries to manipulate the model reading it.Pass
Capabilities100
  • Implements a supported MCP spec version (2025-11-25); the latest is 2026-07-28.Pass
Install

How do I install the FLOPS Compute Intelligence MCP server?

FLOPS Compute Intelligence runs locally as a PyPI package, launched with uvx flopsindex-mcp. Ready-made configuration for Claude, Cursor, VS Code, Codex and 5 more is on this page, copied from each client's own documentation.

pypi · flopsindex-mcp

# add to Claude Code
claude mcp add zeroatflops-flopsindex-mcp -- uvx flopsindex-mcp
// .cursor/mcp.json
{
  "mcpServers": {
    "zeroatflops-flopsindex-mcp": {
      "command": "uvx",
      "args": [
        "flopsindex-mcp"
      ]
    }
  }
}
// .vscode/mcp.json
{
  "servers": {
    "zeroatflops-flopsindex-mcp": {
      "command": "uvx",
      "args": [
        "flopsindex-mcp"
      ]
    }
  }
}
# add to Codex CLI
codex mcp add zeroatflops-flopsindex-mcp -- uvx flopsindex-mcp
// opencode.json
{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "zeroatflops-flopsindex-mcp": {
      "type": "local",
      "command": [
        "uvx",
        "flopsindex-mcp"
      ],
      "enabled": true
    }
  }
}
# add to OpenClaw
openclaw mcp add zeroatflops-flopsindex-mcp --command uvx --arg flopsindex-mcp
# ~/.hermes/config.yaml
mcp_servers:
  zeroatflops-flopsindex-mcp:
    command: "uvx"
    args: ["flopsindex-mcp"]
// ~/.netclaw/config/netclaw.json
{
  "McpServers": {
    "zeroatflops-flopsindex-mcp": {
      "Transport": "stdio",
      "Command": "uvx",
      "Arguments": [
        "flopsindex-mcp"
      ]
    }
  }
}
# add to Vellum
assistant mcp add zeroatflops-flopsindex-mcp -t stdio -c uvx -a flopsindex-mcp
// mcp.json
{
  "mcpServers": {
    "zeroatflops-flopsindex-mcp": {
      "command": "uvx",
      "args": [
        "flopsindex-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.

  • 19 Sept 26 −3
    • Stability: pass → 0.80 functional
  • 18 Sept 26 +1
    • Stability: 0.97 → pass security
    • Security disclosure: unverified → fail functional
  • 17 Sept 26 0
    • Security disclosure: fail → unverified functional
  • 16 Sept 26 +1

    No change was recorded against any check on this day. Stability & Change Management went from 90 to 93. That category is still filling its 30-day observation window: 27 days of observed history at the previous scan, 28 at this one. The score rises as the window fills, whether or not the server changes.

  • 15 Sept 26 +15
    • Malware scan: unverified → pass security
    • Security disclosure: unverified → fail functional
  • 14 Sept 26 −14
    • Malware scan: pass → unverified security
    • Security disclosure: fail → unverified functional
  • 12 Sept 26 −3
    • Stability: pass → 0.80 functional
  • 11 Sept 26 +1
    • Stability: 0.97 → pass security
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 20 Sept 2026 · Analysed pypi/flopsindex-mcp@0.12.4

Provenance No attestation

The registry publishes no build provenance for this version, so there is nothing to verify.

Result No attestation
Ecosystem pypi

Background: How many MCP packages publish verified provenance →

Install scripts 1 script
Hook Tier Command
build_backend allowlisted setuptools.build_meta

Background: Why install scripts are a supply-chain risk →

Dependencies 29 packages
Packages resolved 29
Tree resolution Complete

Background: SBOMs and build attestations, explained →

MCP tools · 5 exposed · ~609 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. A tool's description is untrusted text the model reads on every call, which is what makes this list a security surface and not just an inventory: how tool poisoning works →

Tool Tokens
get_index ~113

Resolve a FLOPS index to its source-opaque PUBLIC payload (the public citation contract). Returns {index_id, value, unit, as_of, data_tier, confidence, verify_url, citation_url, permalink}. Prefer this when you intend to CITE the value. Also exposed as the MCP resource flops://index/<INDEX_ID>.

NameTypeReqDescription
index_idstringyesFLOPS index id / slug, e.g. 'FLOPS-H100-OD' or 'FLOPS-A100-SPOT'.

No output schema declared.

No examples provided.

get_price ~119

Fetch the current published value for a FLOPS compute price index. Returns the published envelope as-is: {index_id, value, unit, as_of, delayed, data_tier, confidence, change_24h, disclaimer, methodology_url, verify_url, citation_url, permalink, upgrade} -- the 14-field envelope. Values are delayed and indicative. Use get_index for the reduced, citation-only payload.

NameTypeReqDescription
slugstringyesFLOPS index slug, e.g. FLOPS-H100-OD or FLOPS-A100-SPOT.

No output schema declared.

No examples provided.

list_indices ~95

List all public FLOPS compute-price indices. Returns {count, indices[]} where each row is {index_id, family, value, unit, as_of, confidence, change_24h, delayed}. Use this to discover available indices before calling get_index or verify. No auth required.

NameTypeReqDescription
family_filterstringOptional family prefix to filter by (e.g. 'FLOPS-H100'). Case-sensitive substring match.

No output schema declared.

No examples provided.

search_indices ~69

Resolve a free-text query to canonical FLOPS index slugs. Use when you don't know the exact slug — e.g. 'H100 spot' returns matching catalog entries.

NameTypeReqDescription
limitinteger
qstringyesFree-text query (e.g. 'H100 on-demand').

No output schema declared.

No examples provided.

verify ~213

Check a FLOPS index value against the published index. Pass `value` with a number you are about to cite (or already hold) and the response tells you whether it is right: `verified` true/false, `expected` (what you submitted), `actual_value` (what FLOPS publishes) and `delta_pct`. Omit `value` to simply look up the current published value — then `verified` is null, which means 'not checked', NOT 'correct'. Note: without an API key you are checked against the public value, which is rounded to 2 decimals and delayed onto a 6-hour grid, so a full-precision real-time number will not match anonymously.

NameTypeReqDescription
index_idstringyesFLOPS index identifier (e.g. 'FLOPS-H100-OD', 'FLOPS-A100-SPOT').
valuenumberOptional. The number you want checked, e.g. 2.14. Omit it to do a plain lookup.

No output schema declared.

No examples provided.

Common questions

What is the FLOPS Compute Intelligence MCP server?

FLOPS Compute Intelligence is an MCP server listed in the public MCP registry as io.github.zeroatflops/flopsindex-mcp. GPU compute price indices over MCP; every value carries a verify URL. Five key-free tools. This page covers its PyPI package (flopsindex-mcp).

Is the FLOPS Compute Intelligence MCP server safe to use?

FLOPS Compute Intelligence scores 80 out of 100 on VerifyMCP. We found no known CVEs affecting it as of 20 September 2026. 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 FLOPS Compute Intelligence MCP server expose?

FLOPS Compute Intelligence exposes 5 tools: list_indices, verify, get_price, get_index, search_indices. Their descriptions and schemas cost roughly 609 tokens of context every time the server is loaded.

Is the FLOPS Compute Intelligence MCP server still maintained?

FLOPS Compute Intelligence is still listed as active in the MCP registry. We last reached this channel on 20 September 2026. Those dates come from our own scans of the registry and the channel itself, not from anything the publisher announced.