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Setup with agent

WET (Web Extended Toolkit) – Agent Setup Guide

Section titled “WET (Web Extended Toolkit) – Agent Setup Guide”

2026-05-02 Update (v<auto>+): Plugin install (Option 1) uses stdio mode. Basic SearXNG search works without env; advanced features (GDrive sync, Brave, Serper, Gemini) need optional env vars OR HTTP mode for OAuth flows. The previous “Zero-Config Relay” auto-spawn pattern has been removed.

Give this file to your AI agent to automatically set up wet-mcp.

This plugin supports 3 install methods. Pick the one that matches your use case:

Priority Method Transport Best for
1. Default Plugin install (uvx/npx) stdio Quick local start, single workstation, no OAuth/HTTP needed.
2. Fallback Docker stdio (docker run -i --rm) stdio Windows/macOS where native uvx/npx hits PATH or Python version issues.
3. Recommended Docker HTTP (docker run -p 8080:8080) HTTP Multi-device, OAuth/relay-form auth, team self-host, claude.ai web compatibility.

All MCP servers across this stack share this priority hierarchy. Note: 2 plugins (better-godot-mcp and better-code-review-graph) only support Method 1 (stdio) – they need direct host access to project files / repo paths and don’t ship Docker / HTTP variants.

⚠️ Mutually exclusive — pick ONE per plugin: If you choose Method 2 (Docker stdio override) OR Method 3 (HTTP), do NOT also /plugin install this plugin via marketplace. Both load simultaneously and create duplicate entries in /mcp dialog (plugin’s stdio + your override). Plugin matching is by endpoint (URL or command string) per CC docs, not by name — and npx/uvxdocker ≠ HTTP URL, so all three are distinct endpoints. Trade-off: choosing Method 2 or Method 3 means you lose this plugin’s skills/agents/hooks/commands. For full plugin features, use Method 1 (default plugin install) with userConfig credentials prompted at install time.

Option 1: Claude Code Plugin (stdio default)

Section titled “Option 1: Claude Code Plugin (stdio default)”

Plugin install uses stdio mode. Basic SearXNG web search works without any env vars – ONNX local embedding and reranking are bundled. Advanced features require optional API keys.

When you run /plugin install, Claude Code prompts you for the following credentials (declared in userConfig per CC docs). Sensitive values are stored in your system keychain and persist across /plugin update:

Field Required Where to obtain
JINA_AI_API_KEY Optional https://jina.ai/api-key (highest priority embedding+reranking)
GEMINI_API_KEY Optional https://aistudio.google.com/apikey
OPENAI_API_KEY Optional https://platform.openai.com/api-keys
COHERE_API_KEY Optional https://dashboard.cohere.com/api-keys
GITHUB_TOKEN Optional https://github.com/settings/tokens (bumps GitHub rate limit 60->5000/hr for library docs discovery)
Terminal window
# Install from marketplace (includes skills: /fact-check, /compare)
/plugin marketplace add n24q02m/claude-plugins
/plugin install wet-mcp@n24q02m-plugins

Other optional env vars (BRAVE_API_KEY, SERPER_API_KEY, OPENAI_API_KEY, COHERE_API_KEY, GITHUB_TOKEN, SYNC_ENABLED, etc.) are not part of the userConfig prompt; add them manually to mcpServers.wet.env in your settings if needed.

Without env vars: SearXNG metasearch + content extraction + library docs + ONNX embedding work out of the box. With env vars: cloud embedding/reranking, Gemini LLM analysis, premium search providers.

Note: This installs the full plugin (skills + agents + hooks + commands + stdio MCP server). If you’d rather use Option 2 (Docker stdio) or Option 3 (HTTP) below, DO NOT /plugin install this plugin — pick Option 2 or Option 3 instead. All three methods are mutually exclusive (see Method overview).

⚠️ Before adding the Docker stdio override below, ensure this plugin is NOT installed via marketplace: Run /plugin uninstall wet-mcp@n24q02m-plugins first if you previously ran /plugin install. Otherwise both entries (plugin’s npx/uvx stdio + your docker run stdio) will load simultaneously since plugin matches by endpoint (command string), not by name.

Trade-off accepted: Choosing this method means you lose this plugin’s skills/agents/hooks/commands. Use Option 1 instead if you want full plugin features.

Terminal window
docker run -i --rm \
--name mcp-wet \
-v wet-data:/data \
-e JINA_AI_API_KEY \
-e GEMINI_API_KEY \
-e OPENAI_API_KEY \
-e COHERE_API_KEY \
-e BRAVE_API_KEY \
-e SERPER_API_KEY \
-e GITHUB_TOKEN \
n24q02m/wet-mcp:latest

Or as an MCP server config:

{
"mcpServers": {
"wet": {
"command": "docker",
"args": [
"run", "-i", "--rm",
"--name", "mcp-wet",
"-v", "wet-data:/data",
"-e", "JINA_AI_API_KEY",
"-e", "GEMINI_API_KEY",
"-e", "GITHUB_TOKEN",
"n24q02m/wet-mcp:latest"
]
}
}
}

Stdio mode is the default and works for most personal/single-user scenarios. Consider switching to HTTP mode (Option 3) when you need:

  • claude.ai web compatibility – HTTP transport is required to connect plugins to claude.ai web client (stdio only works with desktop clients)
  • One server shared across N Claude Code sessions – single daemon serves all sessions instead of spawning a fresh stdio process per session (lower memory, shared cache)
  • Browser-based GDrive OAuth flow – HTTP mode performs the Google Device Code flow via the bundled public client; no manual GOOGLE_DRIVE_CLIENT_ID setup required
  • Multi-device credential sync – self-host the HTTP server once, log in from multiple machines without re-pasting API keys
  • Multi-user team sharing – single self-hosted instance supports N users with per-JWT-sub credential isolation
  • Always-on persistent process – ideal for webhooks, scheduled agents, or background automation

⚠️ Before adding the HTTP override below, ensure this plugin is NOT installed via marketplace: Run /plugin uninstall wet-mcp@n24q02m-plugins first if you previously ran /plugin install. Otherwise both entries (plugin’s stdio + your HTTP override) will load simultaneously since plugin matches by endpoint, not name.

Trade-off accepted: Choosing this method means you lose this plugin’s skills/agents/hooks/commands. For example, the wet-mcp:fact-check skill will no longer be available. Use Option 1 instead if you want full plugin features.

Switching transport vs. setting credentials: The userConfig prompt only configures credentials for stdio mode (Method 1 / Option 1). To switch transport to HTTP, override mcpServers in your client settings per the snippets below – this is a separate path from userConfig and is not driven by the install prompt.

HTTP mode runs as a persistent multi-user server with browser-based credential setup. GDrive OAuth uses a bundled public Google Desktop client (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) per Google’s official Desktop OAuth pattern – no user-side OAuth registration is required. Users authenticate via the device-code flow in their browser.

Terminal window
docker run -d --name wet-mcp-http \
-p 8080:8080 \
-v wet-data:/data \
-e MCP_TRANSPORT=http \
-e PUBLIC_URL=https://wet.example.com \
-e MCP_DCR_SERVER_SECRET=your-random-secret \
n24q02m/wet-mcp:latest

Configure MCP client to connect:

{
"mcpServers": {
"wet": {
"url": "https://wet.example.com/mcp"
}
}
}

On first call, the client redirects to the relay form. Fill in API keys (all optional) and – if SYNC_ENABLED=true – complete the GDrive device-code flow in your browser using the bundled public client. Each user receives an isolated credential vault keyed by JWT sub.

Public HTTP deployments expose <your-domain>/authorize to URL discovery. To prevent random Internet users from accessing the relay form, mint a relay password:

Terminal window
openssl rand -hex 32
# Save in your skret / .env as:
MCP_RELAY_PASSWORD=<generated-32-byte-hex>

Share this password out-of-band (Signal/email/SMS) with anyone you invite to use your server. They will see a login form when first opening /authorize; once logged in, the cookie persists 24 hours.

Single-user dev exception: If PUBLIC_URL=http://localhost:8080, you can leave MCP_RELAY_PASSWORD empty to disable the gate. The server logs a warning if you skip the password with a non-localhost PUBLIC_URL.

All environment variables are optional. The server works in local mode (ONNX embedding + SearXNG) with zero configuration.

Variable Required Default Description
JINA_AI_API_KEY No Jina AI key: search + extraction + embedding + reranking (highest priority)
GEMINI_API_KEY No Google Gemini key: LLM (structured extraction, media analysis) + embedding
GOOGLE_VERTEX_EXPRESS_API_KEY No Vertex AI Express: Gemini via API key, no Service Account. Get it at https://cloud.google.com/vertex-ai/generative-ai/docs/start/express-mode/overview
OPENAI_API_KEY No OpenAI key: LLM + embedding (lower priority than Gemini)
COHERE_API_KEY No Cohere key: embedding + reranking
BRAVE_API_KEY No Brave Search API key (premium search provider)
SERPER_API_KEY No Serper search API key (premium search provider)
GITHUB_TOKEN No auto-detect GitHub token for docs discovery (60 -> 5000 req/hr). Auto-detected from gh auth token
Variable Required Default Description
EMBEDDING_BACKEND No auto-detect cloud or local. Auto: API keys present -> cloud, else local
EMBEDDING_MODEL No auto-detect Cloud embedding model name
EMBEDDING_DIMS No 0 (auto) Embedding dimensions
RERANK_ENABLED No true Enable reranking after search
RERANK_BACKEND No auto-detect cloud or local. Auto: Cohere/Jina key -> cloud, else local
RERANK_MODEL No auto-detect Cloud rerank model name
RERANK_TOP_N No 10 Return top N results after reranking
Variable Required Default Description
LLM_MODELS No auto-detect LLM model for media analysis (LiteLLM format)
Variable Required Default Description
WET_AUTO_SEARXNG No true Auto-start embedded SearXNG subprocess
WET_SEARXNG_PORT No 41592 SearXNG port
SEARXNG_URL No http://localhost:41592 External SearXNG URL (when auto disabled)
SEARXNG_TIMEOUT No 30 SearXNG request timeout in seconds
Variable Required Default Description
CONVERT_MAX_FILE_SIZE No 104857600 Max file size for local conversion in bytes (100MB)
CONVERT_ALLOWED_DIRS No Comma-separated paths to restrict local file conversion
Variable Required Default Description
CACHE_DIR No ~/.wet-mcp Data directory for cache, docs, downloads
DOCS_DB_PATH No ~/.wet-mcp/docs.db Docs database location
DOWNLOAD_DIR No ~/.wet-mcp/downloads Media download directory
TOOL_TIMEOUT No 120 Tool execution timeout in seconds (0=no timeout)
WET_CACHE No true Enable/disable web cache
Variable Required Default Description
SYNC_ENABLED No true Enable Google Drive sync
GOOGLE_DRIVE_CLIENT_ID No bundled public client OAuth client ID. HTTP mode auto-uses bundled public Desktop client
GOOGLE_DRIVE_CLIENT_SECRET No bundled public secret OAuth client secret (Desktop public client per Google docs)
SYNC_FOLDER No wet-mcp Google Drive folder name
SYNC_INTERVAL No 300 Auto-sync interval in seconds (0=manual)
Variable Required Default Description
LOG_LEVEL No INFO Logging level
MCP_TRANSPORT No stdio Transport: stdio (default) or http
PUBLIC_URL No HTTP mode: public URL of the server (required for multi-user OAuth)
MCP_DCR_SERVER_SECRET No HTTP mode: random secret for Dynamic Client Registration JWT signing

Set API keys directly as environment variables. Basic SearXNG search works without any env. Advanced features (cloud embedding, Gemini LLM, premium search) activate when corresponding keys are set. Credentials live only in the local process environment.

After connecting an MCP client to the HTTP endpoint, the client redirects to the relay form on first call:

  1. Open the relay URL in any browser
  2. Fill in API keys on the guided form (all optional)
  3. If SYNC_ENABLED=true, complete the GDrive device-code flow using the bundled public Desktop client (no user OAuth registration needed)
  4. Credentials are encrypted per-JWT-sub and isolated per user

Each user receives an isolated credential vault keyed by JWT sub.

After setup, verify the server is working by calling the search tool:

search(action="search", query="test query", limit=3)

Expected: returns search results with titles, URLs, and snippets.