Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
/plugin marketplace add n24q02m/claude-pluginsnpx agentmods add plugins/n24q02m/claude-plugins/wet-mcpgit clone --depth 1 https://github.com/n24q02m/claude-pluginsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/plugins/n24q02m/claude-plugins/wet-mcp)<a href="https://agentmods.dev/plugins/n24q02m/claude-plugins/wet-mcp"><img src="https://agentmods.dev/badge/plugins/n24q02m/claude-plugins/wet-mcp.svg" alt="Measured on agentmods" height="20"></a>Grade A, and why
wet-mcp scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 3d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
This is a copy
100% identical to wet-mcp — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 96 lines — stays where its author put it; the contents beside it link to each section on GitHub.
{
"name": "wet-mcp",
"description": "Open-source MCP server for AI agents: web search, content extraction, and library docs.",
"version": "3.8.0",
"userConfig": {
"EMBEDDING_MODELS": {
"type": "string",
"title": "Embedding model chain (optional)",
"description": "CSV 'provider/model,provider/model' (order = litellm fallback); provider inferred from prefix. Empty = local ONNX through fastretrieval. Example: jina_ai/jina-embeddings-v5-text-small,gemini/gemini-embedding-001",
"required": false
},
"RERANK_MODELS": {
"type": "string",
"title": "Rerank model chain (optional)",
"description": "CSV 'provider/model,...'; provider inferred from prefix. Empty = local ONNX cross-encoder. Example: jina_ai/jina-reranker-v3",
"required": false
},
"LLM_MODELS": {
"type": "string",
"title": "LLM model chain (optional)",
"description": "CSV 'provider/model,...'; provider inferred from prefix. Empty = LLM features off. Example: gemini/gemini-3-flash-preview,openai/gpt-5.4-mini",
"required": false
},
"JINA_AI_API_KEY": {
"type": "string",
"title": "Jina AI API key (optional)",
"description": "Enables jina_ai/ models referenced in a model chain. Without any cloud key the server uses local ONNX. https://jina.ai/api-dashboard/",
"sensitive": true,
"required": false
},
"GEMINI_API_KEY": {
"type": "string",
"title": "Gemini API key (optional)",
"description": "Enables gemini/ models referenced in a model chain. https://ai.google.dev/",
"sensitive": true,
"required": false
},
"OPENAI_API_KEY": {
"type": "string",
"title": "OpenAI API key (optional)",
"description": "Enables openai/ models referenced in a model chain. https://platform.openai.com/api-keys",
"sensitive": true,
"required": false
},
"COHERE_API_KEY": {
"type": "string",
"title": "Cohere API key (optiWhat it installs
The manifest is a name and a version. 5 skills travel with it, and installing the plugin installs all of them — 233 tokens a session between them. Each is measured on its own page, and each can be installed alone.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 3d ago First seen · 96 lines scan A 533d985dfb7d
wet-mcp is a plugin published in the GitHub repository n24q02m/claude-plugins (3 stars, last pushed 4d ago), licensed Apache-2.0. Its token cost is not measured: this kind of file is read by the harness, not the model. A static security scan graded it A with 0 findings. It is 100% identical to wet-mcp, differing in 0 lines, and is treated as a copy.
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