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io.github.agenson-horrowitz/structured-data-validator

NPM · @AGENSON-HORROWITZ/STRUCTURED-DATA-VALIDATOR-MCP · SCANNED SEP 24

Validate, transform, and normalize structured data for AI agents.

0 this week 78 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 Security88
  • No malware found by supply-chain analysis.Pass
  • CVE check failed: a known medium-severity CVE affects csv-parse 5.6.0, a direct dependency. A fixed version is available. View diagnostics → Fail
  • No install/post-install scripts declared.Pass
  • 66 of 222 dependencies flagged as unhealthy. View diagnostics → Partial
Provenance & Transparency45
Schema Quality & AI Usability74
  • AI-judged instruction clarity (good).Pass
  • Tool/resource definitions use about 352 tokens (~70/item across 5 items; 5 tools + 0 resources), lean.Pass
  • Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management100
  • No destabilizing schema changes in the last 30 days.Pass
Tool Coverage89
  • 100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
  • 67% of tool parameters carry a description.Partial
Tool Safety75
  • No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.Pass
  • 0 of 2 tool(s) whose name or description implies an irreversible operation declare an MCP destructiveHint annotation; "clean_text" implies "remove" and declares no destructiveHint at all, which the MCP spec reads as destructive by default. See how to fix → Fail
  • 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 io.github.agenson-horrowitz/structured-data-validator MCP server?

io.github.agenson-horrowitz/structured-data-validator runs locally as an npm package, launched with npx -y @agenson-horrowitz/structured-data-validator-mcp. Ready-made configuration for Claude, Cursor, VS Code, Codex and 5 more is on this page, copied from each client's own documentation.

npm · @agenson-horrowitz/structured-data-validator-mcp

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

  • 24 Sept 26 0
    • Stability: 0.97 → pass security
  • 23 Sept 26 +1

    No change was recorded against any check on this day. Stability & Change Management went from 93 to 97. That category is still filling its 30-day observation window: 28 days of observed history at the previous scan, 29 at this one. The score rises as the window fills, whether or not the server changes.

  • 20 Sept 26 +1

    No change was recorded against any check on this day. Stability & Change Management went from 83 to 87. That category is still filling its 30-day observation window: 25 days of observed history at the previous scan, 26 at this one. The score rises as the window fills, whether or not the server changes.

  • 18 Sept 26 −2
    • Stability: pass → 0.80 functional
  • 17 Sept 26 0
    • Stability: 0.97 → pass security
  • 16 Sept 26 +1

    No change was recorded against any check on this day. Stability & Change Management went from 93 to 97. That category is still filling its 30-day observation window: 28 days of observed history at the previous scan, 29 at this one. The score rises as the window fills, whether or not the server changes.

  • 13 Sept 26 +1

    No change was recorded against any check on this day. Stability & Change Management went from 83 to 87. That category is still filling its 30-day observation window: 25 days of observed history at the previous scan, 26 at this one. The score rises as the window fills, whether or not the server changes.

  • 11 Sept 26 −2
    • Stability: pass → 0.80 functional
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 24 Sept 2026 · Analysed npm/@agenson-horrowitz/structured-data-validator-mcp@1.0.8

Provenance No attestation

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

Result No attestation
Ecosystem npm

Background: How many MCP packages publish verified provenance →

Vulnerabilities 24 findings
ID CVE Severity Vector Fix available
GHSA-3g43-6gmg-66jw CVE-2026-44495 high CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:H/I:L/A:L yes
GHSA-3p68-rc4w-qgx5 CVE-2025-62718 medium CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:L/I:L/A:N yes
GHSA-43fc-jf86-j433 CVE-2026-25639 high CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H yes
GHSA-5c9x-8gcm-mpgx CVE-2026-42034 medium CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:L yes
GHSA-62hf-57xw-28j9 CVE-2026-42039 high CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H yes
GHSA-6chq-wfr3-2hj9 CVE-2026-42035 high CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:H/I:H/A:N yes
GHSA-7q8q-rj6j-mhjq CVE-2026-67319 medium yes
GHSA-898c-q2cr-xwhg CVE-2026-44490 medium CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:L/A:L yes
GHSA-fvcv-3m26-pcqx CVE-2026-40175 medium CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:L/I:L/A:N yes
GHSA-hfxv-24rg-xrqf CVE-2026-44496 high CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H yes
GHSA-j5f8-grm9-p9fc CVE-2026-44486 high CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N yes
GHSA-jr5f-v2jv-69x6 CVE-2025-27152 high yes
GHSA-m7pr-hjqh-92cm CVE-2026-42038 medium CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:C/C:H/I:N/A:N yes
GHSA-mmx7-hfxf-jppx CVE-2026-67316 medium yes
GHSA-p92q-9vqr-4j8v CVE-2026-44487 high yes
GHSA-pf86-5x62-jrwf CVE-2026-42033 high CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:H/I:H/A:N yes
GHSA-pjwm-pj3p-43mv CVE-2026-44492 high CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:C/C:H/I:N/A:N yes
GHSA-pmwg-cvhr-8vh7 CVE-2026-42043 high CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:C/C:L/I:L/A:N yes
GHSA-vf2m-468p-8v99 CVE-2026-42036 medium CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:L yes
GHSA-w9j2-pvgh-6h63 CVE-2026-42041 medium CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:L/I:L/A:N yes
GHSA-wf5p-g6vw-rhxx CVE-2023-45857 medium CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:N/A:N yes
GHSA-xhjh-pmcv-23jw CVE-2026-42040 low CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:L/A:N yes
GHSA-xx6v-rp6x-q39c CVE-2026-42042 medium CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:L/I:L/A:N yes
GHSA-8cw4-87c7-c6xx CVE-2026-85063 medium yes

Background: What a vulnerability scan can and cannot prove →

Dependencies 222 packages
Packages resolved 222
Stale 66
Tree resolution Complete

Background: SBOMs and build attestations, explained →

MCP tools · 5 exposed · ~352 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
clean_text ~59

Remove HTML tags, fix encoding issues, normalize whitespace, and extract clean text from messy input. Perfect for agents processing scraped web content or user-submitted text.

NameTypeReqDescription
optionsobject
textstringyesText to clean and normalize

No output schema declared.

No examples provided.

merge_datasets ~97

Merge multiple JSON datasets with deduplication and conflict resolution. Handles overlapping data intelligently, perfect for agents combining data from multiple sources.

NameTypeReqDescription
conflict_resolutionstringHow to resolve conflicts when same record appears in multiple datasets
datasetsarrayyesArray of datasets (each dataset is an array of objects)
merge_keystringyesField name to use for identifying duplicate records (e.g., "id", "email")

No output schema declared.

No examples provided.

normalize_data ~66

Standardize common data formats like dates, phone numbers, currencies, and addresses. Essential for agents processing user input or scraped data with inconsistent formatting.

NameTypeReqDescription
dataarrayyesArray of objects containing data to normalize
fieldsobjectyes
target_formatsobject

No output schema declared.

No examples provided.

transform_csv_to_json ~66

Convert CSV data to structured JSON with intelligent type inference. Handles messy CSV data, auto-detects delimiters, infers data types (numbers, dates, booleans).

NameTypeReqDescription
csv_datastringyesRaw CSV data as string
optionsobject

No output schema declared.

No examples provided.

validate_json_schema ~64

Validate JSON data against a schema with detailed error reporting. Perfect for agents receiving API responses or user data that needs validation before processing.

NameTypeReqDescription
dataobjectyesThe JSON data to validate
schemaobjectyesJSON Schema to validate against (supports Draft 7)

No output schema declared.

No examples provided.

Common questions

What is the io.github.agenson-horrowitz/structured-data-validator MCP server?

io.github.agenson-horrowitz/structured-data-validator is an MCP server listed in the public MCP registry as io.github.agenson-horrowitz/structured-data-validator. Validate, transform, and normalize structured data for AI agents. This page covers its npm package (@agenson-horrowitz/structured-data-validator-mcp).

Is the io.github.agenson-horrowitz/structured-data-validator MCP server safe to use?

io.github.agenson-horrowitz/structured-data-validator scores 78 out of 100 on VerifyMCP. We recorded 24 known advisories against it as of 24 September 2026. It declares no install or post-install scripts. 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 io.github.agenson-horrowitz/structured-data-validator MCP server expose?

io.github.agenson-horrowitz/structured-data-validator exposes 5 tools: validate_json_schema, transform_csv_to_json, normalize_data, clean_text, merge_datasets. Their descriptions and schemas cost roughly 352 tokens of context every time the server is loaded.

Is the io.github.agenson-horrowitz/structured-data-validator MCP server still maintained?

io.github.agenson-horrowitz/structured-data-validator is still listed as active in the MCP registry. We last reached this channel on 24 September 2026. Those dates come from our own scans of the registry and the channel itself, not from anything the publisher announced.

What licence is the io.github.agenson-horrowitz/structured-data-validator MCP server under?

io.github.agenson-horrowitz/structured-data-validator declares the MIT licence, which is OSI-approved. That covers the source only, and says nothing about the cost of any service it calls.