Skip to content
verify mcp Beta VerifyMCP is currently in beta. If you notice any issues, get in touch and we’ll put it right.

io.github.n24q02m/wet-mcp

PYPI · WET-MCP · SCANNED SEP 20

Open-source MCP server for AI agents: web search, content extraction, and library docs.

Available components

+3 this week 44 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 Security32
Provenance & Transparency23
Schema Quality & AI Usability55
  • AI-judged instruction clarity (good).Pass
  • Context-footprint check failed: tool/resource definitions use about 2123 tokens (~353/item across 6 items; 6 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 Management30
  • Stability observed for 9 of 30 days with no destabilising changes; credit accrues until the full window elapses.Partial
Tool Coverage71
  • 100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
  • 0% of tool parameters carry a description.Fail
  • Structured output schemas are declared (100% of tools); any adoption earns full credit.Pass
Tool Safety100
  • No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.Pass
  • We read all 6 captured tool definition(s), and no name or description among them implies an irreversible operation.Pass
  • An AI judge read all 7 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.n24q02m/wet-mcp server?

io.github.n24q02m/wet-mcp runs locally as a PyPI package, launched with uvx wet-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 · wet-mcp

# add to Claude Code
claude mcp add n24q02m-wet-mcp -- uvx wet-mcp
// .cursor/mcp.json
{
  "mcpServers": {
    "n24q02m-wet-mcp": {
      "command": "uvx",
      "args": [
        "wet-mcp"
      ]
    }
  }
}
// .vscode/mcp.json
{
  "servers": {
    "n24q02m-wet-mcp": {
      "command": "uvx",
      "args": [
        "wet-mcp"
      ]
    }
  }
}
# add to Codex CLI
codex mcp add n24q02m-wet-mcp -- uvx wet-mcp
// opencode.json
{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "n24q02m-wet-mcp": {
      "type": "local",
      "command": [
        "uvx",
        "wet-mcp"
      ],
      "enabled": true
    }
  }
}
# add to OpenClaw
openclaw mcp add n24q02m-wet-mcp --command uvx --arg wet-mcp
# ~/.hermes/config.yaml
mcp_servers:
  n24q02m-wet-mcp:
    command: "uvx"
    args: ["wet-mcp"]
// ~/.netclaw/config/netclaw.json
{
  "McpServers": {
    "n24q02m-wet-mcp": {
      "Transport": "stdio",
      "Command": "uvx",
      "Arguments": [
        "wet-mcp"
      ]
    }
  }
}
# add to Vellum
assistant mcp add n24q02m-wet-mcp -t stdio -c uvx -a wet-mcp
// mcp.json
{
  "mcpServers": {
    "n24q02m-wet-mcp": {
      "command": "uvx",
      "args": [
        "wet-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 +1
    • Package version: 3.15.3 → 3.15.5 functional
    • Package version: 3.15.3 → 3.15.4 functional
  • 18 Sept 26 0
    • Package version: 3.14.9 → 3.15.3 functional
    • Package version: 3.14.9 → 3.15.1 functional
    • Package version: 3.14.9 → 3.15.0 functional
  • 17 Sept 26 −14
    • Malware scan: pass → unverified security
    • Package version: 3.14.8 → 3.14.9 functional
  • 16 Sept 26 +15
    • Stability: 0.13 → unverified security
    • Tool safety: pass → unverified security
    • Malware scan: unverified → pass security
    • Tool coverage: 100 → unverified functional
    • Capabilities: pass → unverified functional
    • Schema quality: Schema quality not yet verified: we do not have a sandbox capture of the MCP schema this version of the package serves yet. functional
    • Package version: 3.14.7 → 3.14.8 functional
  • 15 Sept 26 +1

    No change was recorded against any check on this day. Stability & Change Management went from 10 to 13. That category is still filling its 30-day observation window: 3 days of observed history at the previous scan, 4 at this one. The score rises as the window fills, whether or not the server changes.

  • 14 Sept 26 0
    • Malware scan: unverified → pass security
    • Package version: 3.14.5 → 3.14.7 functional
    • Package version: 3.14.5 → 3.14.6 functional
  • 13 Sept 26 +1
    • Malware scan: unverified → pass security
    • Package version: 3.12.0 → 3.14.5 functional
    • Package version: 3.12.0 → 3.14.4 functional
    • Package version: 3.12.0 → 3.14.3 functional
    • Package version: 3.12.0 → 3.12.1 functional
  • 12 Sept 26 −15
    • Malware scan: pass → unverified security
    • Stability: unverified → 0.03 functional
    • Package version: 3.11.0 → 3.12.0 functional
    • Package version: 3.11.0 → 3.11.2 functional
    • Package version: 3.11.0 → 3.11.1 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 20 Sept 2026 · Analysed pypi/wet-mcp@3.15.5

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 →

Vulnerabilities 3 findings
ID CVE Severity Vector Fix available
GHSA-w8v5-vhqr-4h9v CVE-2025-69872 medium no
PYSEC-2026-2447 CVE-2025-69872 none no
GHSA-8mgp-746c-j5xp CVE-2026-81726 high CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:H/I:L/A:L no

Background: What a vulnerability scan can and cannot prove →

Dependencies 193 packages
Packages resolved 193
Stale 19
No linked repository 1
Tree resolution Complete

Background: SBOMs and build attestations, explained →

MCP tools · 6 exposed · ~2,033 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
config ~89

Server config and management. Actions: status|set|cache_clear|docs_reindex|warmup|setup_sync|setup_status|setup_start|setup_skip|setup_reset|setup_complete. Use help tool with tool_name='config' for full docs.

NameTypeReqDescription
actionstringyes
forceboolean
key
remote_type
value

Structured output declared, but exposes no named fields.

No examples provided.

config__open_relay ~50

Get the relay configuration URL for wet-mcp, opening it in the user's browser when possible. Returns the relay URL, whether the browser launched, and the current status.

NameTypeReqDescription
ctxyes

Structured output declared, but exposes no named fields.

No examples provided.

extract ~798

Read and return full page content from URLs or local files. Use this when you have a specific URL and need its content. For finding URLs first, use the `search` tool instead. Actions: - extract: Get clean content from URLs. Example: extract(action="extract", urls=["https://example.com/article"]) - batch: Batch extract with per-domain rate limiting (max 50 URLs). Example: extract(action="batch", urls=["https://a.com/1", "https://b.com/2"]) - crawl: Deep crawl following links from root URLs. Example: extract(action="crawl", urls=["https://docs.example.com"], depth=2) - map: Discover site URL structure without extracting content. Example: extract(action="map", urls=["https://example.com"]) - convert: Convert local files (PDF, DOCX, PPTX, XLSX) to Markdown. Example: extract(action="convert", paths=["/home/user/report.pdf"]) - extract_structured: Extract structured data using JSON Schema + LLM. Example: extract(action="extract_structured", urls=["https://example.com/pricing"], schema={"type": "object", "properties": {"price": {"type": "string"}}}) - agent: Multi-step research orchestration -- search the web, extract top results, synthesize a cited Markdown answer. Example: extract(action="agent", query="latest pydantic 2 changes", max_urls=5) - interact: Drive a page with click/fill/submit via patchright. Example: extract(action="interact", url="https://example.com/login", actions=[{"type": "fill", "selector": "#email", "value": "x@y.com"}, {"type": "submit", "selector": "form"}]) - diff: Track content changes across fetches of the same URL(s). Example: extract(action="diff", urls=["https://example.com/pricing"]) Key parameters: - urls (required for extract/batch/crawl/map/extract_structured/diff): List of URLs - paths (required for convert): List of local file paths - query (required for agent): Research question to answer - url (required for interact): Page URL to drive - actions (required for interact): List of {type, selector?, description?, value?} ops - max_urls…

NameTypeReqDescription
actionstringyes
actions
depthinteger
formatstring
max_pagesinteger
max_urlsinteger
paths
prompt
query
refetchboolean
schema
screenshotboolean
session
stealthboolean
synthesis_model
token_budgetinteger
url
urls

Structured output declared, but exposes no named fields.

No examples provided.

help ~131

Get detailed documentation for any tool. Call this when you need full parameter reference or usage examples. Valid tool_name values: search, extract, media, config. Quick guide -- which tool to use: - Need to FIND information? Use `search` (returns result listings with URLs) - Need to READ a page? Use `extract` (returns full page content from a URL) - Need media files? Use `media` (discover, download images/videos/audio) - Need server settings? Use `config` (status, cache, settings, warmup, sync setup)

NameTypeReqDescription
tool_namestring
NameTypeReqDescription
resultstringyes

No examples provided.

media ~309

Discover and download media files (images, videos, audio) from web pages. Actions: - list: Scan a page and return media URLs with metadata. Example: media(action="list", url="https://example.com/gallery", media_type="images") - download: Download media files to local storage. Example: media(action="download", media_urls=["https://example.com/photo.jpg"]) Key parameters: - url (required for list): Page URL to scan - media_urls (required for download): List of media URLs to download - media_type: Filter for list -- "images", "videos", "audio", "files", "all" (default: "all") - output_dir: Download directory (default: ~/.wet-mcp/downloads) - prompt: Reserved -- accepted for backward compatibility, ignored Typical workflow: list (discover) -> download (save locally). For LLM analysis (vision/audio/video), hand the downloaded path to imagine-mcp's understand action. The legacy media(action="analyze") was REMOVED in wet v2.0.0 (deprecated since v1.x.y); calling it now returns the standard unknown-action error. Use `help` tool with tool_name="media" for full documentation.

NameTypeReqDescription
actionstringyes
max_itemsinteger
media_typestring
media_urls
output_dir
promptstring
url

Structured output declared, but exposes no named fields.

No examples provided.

search ~656

Find information across web, academic sources, or library docs. Returns search result listings (titles, URLs, snippets) -- NOT full page content. To read full content from a URL, use the `extract` tool instead. Actions: - search: Web search via SearXNG. Example: search(action="search", query="python async patterns") - research: Academic/scientific search (Google Scholar, arXiv, PubMed). Example: search(action="research", query="transformer attention mechanism") - docs: Search library documentation with auto-indexing. Example: search(action="docs", query="how to create routes", library="fastapi") - docs_resolve: Free-form library name to ranked library_id list. Example: search(action="docs_resolve", query="react") - docs_query: Version-aware library docs query honoring project lock + token cap. Example: search(action="docs_query", library="react", version="latest", topic="useState", query="how to set initial state") - docs_lock_project: Detect project manifests (pyproject/package.json/go.mod/Cargo.toml) and lock the library set for Cabinets isolation. Example: search(action="docs_lock_project", project_path="/repo/my-app") - similar: Find pages similar to a URL (pass URL as query). Example: search(action="similar", query="https://example.com/article") Key parameters: - query (required for all actions): Search terms or URL (for similar) - library (required for docs): Library name, e.g. "react", "fastapi" - language: Programming language for disambiguation in docs, e.g. "python", "java" - expand: Enable LLM query expansion for broader coverage (default: false) - enrich: Fetch actual page content for richer snippets (default: false, adds latency) - max_results: Number of results (default: 10) - time_range: Recency filter -- day, week, month, year - include_domains / exclude_domains: Domain filters - region (search only): 2-letter ISO 3166-1 country code (e.g. "US", "vn") geo filter. Backends without region support are skipped (named in a warning); a chain with no reg…

NameTypeReqDescription
actionstringyes
categoriesstring
enrichboolean
exclude_domains
expandboolean
include_domains
language
library
limitinteger
max_resultsinteger
parallelboolean
project_path
query
refineboolean
region
time_range
topic
version

Structured output declared, but exposes no named fields.

No examples provided.

Common questions

What is the io.github.n24q02m/wet-mcp server?

io.github.n24q02m/wet-mcp is listed in the public MCP registry as io.github.n24q02m/wet-mcp. Open-source MCP server for AI agents: web search, content extraction, and library docs. This page covers its PyPI package (wet-mcp).

Is the io.github.n24q02m/wet-mcp server safe to use?

io.github.n24q02m/wet-mcp scores 44 out of 100 on VerifyMCP. We recorded 3 known advisories against 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 io.github.n24q02m/wet-mcp server expose?

io.github.n24q02m/wet-mcp exposes 6 tools: config__open_relay, search, extract, media, help, config. Their descriptions and schemas cost roughly 2,033 tokens of context every time the server is loaded.

Is the io.github.n24q02m/wet-mcp server still maintained?

io.github.n24q02m/wet-mcp 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.

What licence is the io.github.n24q02m/wet-mcp server under?

io.github.n24q02m/wet-mcp declares the Apache-2.0 licence, which is OSI-approved. That covers the source only, and says nothing about the cost of any service it calls.