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Wet MCP Server

local only

Wet MCP runs on your own machine — the client starts it, so there is no endpoint to ping. 3 069 installs a week from pypi. Last commit 17 Sep 2026.

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

Installs per day peak 2 094 · avg 430 · +19% w/w
a month agotoday
3 069
Installs / week
pypi · wet-mcp
17
Stars
1 open issues
17 Sep 2026
Last commit
0 releases in 90 days
Apache-2.0
License
Python

What the code does

We read the source, 18 h ago · rules 3dff92dd89df

In the project's build, not in the package

Found in continuous integration, deployment or infrastructure files, or in a neighbouring package of the same monorepo. None of this is installed when you add the server: it describes how the project is built and released. We list it because a leaked key in a build pipeline is still a real problem, but it is not something this server does on your machine.

Builds a database query by concatenation .github/workflows/ci.yml:443
      - name: File or update the canary failure issue
        env:
          GH_TOKEN: ${{ secrets.GITHUB_TOKEN }}

Is this your server and something here is wrong? Tell us — corrections are free and do not require a plan.

Nothing serious here today

Today is the operative word: we check Wet MCP every 15 minutes and re-read its code on every release. Watch it and you find out the day that stops being true.

Three servers free · no card

Connect this server

This server runs on your own machine — install it with the package manager and the client starts it for you. Package name taken from the official registry entry.

run in your terminal
claude mcp add wet-mcp -- uvx wet-mcp
~/Library/Application Support/Claude/claude_desktop_config.json
{
  "mcpServers": {
    "wet-mcp": {
      "args": [
        "wet-mcp"
      ],
      "command": "uvx"
    }
  }
}
~/.codex/config.toml
[mcp_servers.wet-mcp]
command = "uvx"
args = ["wet-mcp"]
.cursor/mcp.json
{
  "mcpServers": {
    "wet-mcp": {
      "args": [
        "wet-mcp"
      ],
      "command": "uvx"
    }
  }
}
.vscode/mcp.json
{
  "mcpServers": {
    "wet-mcp": {
      "args": [
        "wet-mcp"
      ],
      "command": "uvx"
    }
  }
}

This one needs environment variables set before it will start: API_KEYS (Provider API keys (format: PROVIDER_API_KEY:key,...). Select models per task with EMBEDDING_MODELS / RERANK_MODELS / LLM_MODELS (CSV provider/model, order = litellm fallback); provider is inferred from the model prefix. Empty embedding/rerank chain falls back to fastretrieval's built-in local reference model.), GITHUB_TOKEN (GitHub personal access token for higher rate limits on library discovery). The author declared them in the registry entry; get the values from the project itself.

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Wet MCP — questions

Answers built from our own checks of this server.

Why is there no uptime for Wet MCP?
Wet MCP runs on your own machine over stdio — there is no network address to reach, so uptime cannot be measured for it by anyone. What can be measured is adoption: the pypi package wet-mcp was installed 3 069 times last week.
How do I connect Wet MCP?
Copy the ready config from this page — we generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each with the file path that client actually reads. It runs locally, so the command pulls wet-mcp straight from pypi; nothing to host, nothing to sign up for.
How many people use Wet MCP?
The pypi package wet-mcp was installed 3 069 times in the last week. Week over week that is +19%. We show installs rather than GitHub stars on purpose: a star is a bookmark, an install is someone actually running it.
Is Wet MCP open source?
Yes — it is published under the Apache-2.0 licence, written in Python, 17 stars on GitHub and 1 open issue. The source link is on this page, so you can read exactly what it does with your data before you connect it.