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verifyfirst

PYPI · VERIFYFIRST-MCP · SCANNED SEP 20

Look up what your verification method cannot see: 48 failures that report success.

Available components

+19 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 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 Usability77
  • AI-judged instruction clarity (excellent).Pass
  • Context-footprint check failed: tool/resource definitions use about 1206 tokens (~150/item across 8 items; 8 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 Management93
  • Stability observed for 28 of 30 days with no destabilising changes; credit accrues until the full window elapses.Partial
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
Tool Safety100
  • No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.Pass
  • We read all 8 captured tool definition(s), and no name or description among them implies an irreversible operation.Pass
  • An AI judge read all 9 captured unit(s) of tool text and found none that tries to manipulate the model reading it.Pass
Capabilities60
  • Spec-recency check failed: implements MCP spec 2025-06-18; the latest is 2026-07-28. See how to fix → Fail
Install

How do I install the verifyfirst MCP server?

verifyfirst runs locally as a PyPI package, launched with uvx verifyfirst-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 · verifyfirst-mcp

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

  • 20 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.

  • 18 Sept 26 +16
    • Malware scan: unverified → pass security
  • 16 Sept 26 +1

    No change was recorded against any check on this day. Stability & Change Management went from 77 to 80. That category is still filling its 30-day observation window: 23 days of observed history at the previous scan, 24 at this one. The score rises as the window fills, whether or not the server changes.

  • 15 Sept 26 −15
    • Malware scan: pass → unverified security
  • 14 Sept 26 +16
    • Malware scan: unverified → pass security
  • 12 Sept 26 +1

    No change was recorded against any check on this day. Stability & Change Management went from 63 to 67. That category is still filling its 30-day observation window: 19 days of observed history at the previous scan, 20 at this one. The score rises as the window fills, whether or not the server changes.

  • 9 Sept 26 +1

    No change was recorded against any check on this day. Stability & Change Management went from 53 to 57. That category is still filling its 30-day observation window: 16 days of observed history at the previous scan, 17 at this one. The score rises as the window fills, whether or not the server changes.

  • 7 Sept 26 +1

    No change was recorded against any check on this day. Stability & Change Management went from 47 to 50. That category is still filling its 30-day observation window: 14 days of observed history at the previous scan, 15 at this one. The score rises as the window fills, whether or not the server changes.

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/verifyfirst-mcp@1.8.0

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 hatchling.build

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

Dependencies 0 packages
Packages resolved 0
Tree resolution Complete

Background: SBOMs and build attestations, explained →

MCP tools · 8 exposed · ~1,128 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
before_claiming ~171

Call this immediately before reporting a task complete — before writing 'done', 'fixed', 'deployed', 'working' or 'the tests pass'. Describe what you just did ('deployed a static site', 'restarted the service', 'changed a config file', 'ran the test suite', 'fetched a URL', 'published a package') and it returns an ordered preflight: the specific checks that would catch this task failing silently, each with the command to run and the recorded failure it guards against. Unlike from_symptom, nothing has to have gone wrong yet — this is for the moment when you believe the work succeeded.

NameTypeReqDescription
taskstringyesWhat you just did, in plain words. 'I copied the built files to the web root' works as well as 'deploy'.

No output schema declared.

No examples provided.

blind_spots ~238

PRE-FLIGHT CHECK. Call this in the moment before you claim a task is done or a fix is verified. Give it the instrument you are trusting — a screenshot, an exit code, an HTTP status, a file you read, a process list, a log — and it returns the terse list of failure modes that instrument is structurally incapable of showing you. A screenshot cannot see time. An exit code cannot see semantics. A 200 cannot see staleness. A config file cannot see what the running process loaded. Reading this list takes seconds and is the difference between 'the command exited zero' and 'the change is live'. Accepts loose names: 'curl', 'ps', 'journalctl', 'I looked at the screenshot' all resolve. Use get_instrument afterwards for the worked examples.

NameTypeReqDescription
instrumentstringyesThe instrument you are verifying through. Canonical ids: screenshot, exit-code, http-response, file-on-disk, process-list, log-output. Common aliases also work (curl, 200, ps, pgrep, systemctl, journ…

No output schema declared.

No examples provided.

from_symptom ~183

Start here when something is wrong but you do not yet know why. Describe what you are actually observing, in your own words — 'the page is blank', 'deploy ran but nothing changed', 'API returns 200 but the data is wrong', 'the service says active but is not serving', 'the command hangs and never returns' — and this returns the recorded failures that produce that exact appearance, each with the one check that tells them apart. This is the symptom-first door into the registry; blind_spots is the instrument-first one. Use this when you have a symptom, and blind_spots when you are about to verify something and want to know what your method cannot see.

NameTypeReqDescription
descriptionstringyesWhat you are seeing, in plain words. A sentence works better than a keyword: 'screenshot shows a blank page in headless chrome'.

No output schema declared.

No examples provided.

get_entry ~96

Retrieve one recorded failure in full by its id, e.g. 'NS-001'. Returns the false reading, the true state, why the instrument could not separate them, the discriminating check, the cost of missing it, and what it generalises to. Use after search or get_instrument surfaces an id you want the complete account of.

NameTypeReqDescription
idstringyesEntry id such as NS-001 through NS-014.

No output schema declared.

No examples provided.

get_instrument ~131

Full dossier on one instrument: what it genuinely captures, everything it is blind to, and every recorded real-world failure it missed — each with the false reading, the true state, and one concrete check that separates them. Use this after blind_spots when a listed blind spot might apply to what you are doing and you want the specific command or expression that would settle it. Every failure here was actually observed and diagnosed; none are hypothetical.

NameTypeReqDescription
idstringyesInstrument id: screenshot, exit-code, http-response, file-on-disk, process-list, or log-output. Aliases are accepted.

No output schema declared.

No examples provided.

get_protocol ~102

The five-step verification checklist to run before reporting any work as complete: name the instrument, say what it cannot see, run one check that could actually come out either way, report the observation rather than the inference, and prefer resolved values over authored ones. Returns the checklist plus the underlying principles. Call it once at the start of a verification pass, or any time you are about to write the words 'done', 'fixed', 'working', or 'deployed'.

Input schema present but exposes no named parameters.

No output schema declared.

No examples provided.

list_instruments ~88

List the six verification instruments an agent can observe a system through: screenshot, exit-code, http-response, file-on-disk, process-list, log-output. Each entry says what the instrument is used for so you can identify which one you are actually relying on right now. Start here when you are not sure how to name the instrument you just used, then call blind_spots on it.

Input schema present but exposes no named parameters.

No output schema declared.

No examples provided.

search ~119

Case-insensitive substring search across every recorded failure's title, false reading, true state, and failure class. Use it when you have a symptom rather than an instrument: 'blank page', 'cache', 'font', 'hang', 'oom', 'systemctl', 'opacity', 'no output'. Also useful for checking whether a surprising behaviour you just hit is a known instrument artifact before you spend rounds tuning against it.

NameTypeReqDescription
querystringyesSubstring to look for, e.g. 'cache', 'blank', 'font', 'oom'.

No output schema declared.

No examples provided.

Common questions

What is the verifyfirst MCP server?

verifyfirst is an MCP server listed in the public MCP registry as io.github.simulacra/verifyfirst. Look up what your verification method cannot see: 48 failures that report success. This page covers its PyPI package (verifyfirst-mcp).

Is the verifyfirst MCP server safe to use?

verifyfirst 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 verifyfirst MCP server expose?

verifyfirst exposes 8 tools: list_instruments, blind_spots, get_instrument, search, get_entry, and 3 more. Their descriptions and schemas cost roughly 1,128 tokens of context every time the server is loaded.

Is the verifyfirst MCP server still maintained?

verifyfirst 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.