Wigolo MCP Server

Local-first web intelligence MCP server for AI coding agents

Remote serverstreamable-httpPython

What is the Wigolo MCP server?

Local-first web intelligence MCP server for AI coding agents. Exposed over MCP by the wigolo mcp server, that capability becomes something an assistant can invoke while it works, not something you go and do afterwards.

What it actually does

Local-first web intelligence for AI agents — no keys, no cloud, no metered bill.

  • Built for agents. — One MCP call fans out many queries across many engines in parallel, which a serial host tool-loop can't replicate. Every result carries transparent per-result scoring, and output is budget-aware
  • Honest output. — Stale cache, failed fetches, degraded backends, and truncation are surfaced in the result. When a bot-protected page can't be read, you get a labeled blocked_by_challenge failure, not a challenge shell returned as content
  • $0 per query, free to re-query. — Default search talks to public engines through direct adapters; the reranker and embeddings run on-device. Every response is cached, so asking again is instant and costs nothing
  • Private by default. — Cache, embeddings, models, and config live under ~/.wigolo/. Nothing reaches a third party unless you explicitly opt into an LLM for synthesis

Configuration

You will need 8 environment variables: WIGOLO_LLM_PROVIDER, GEMINI_API_KEY, WIGOLO_SEARCH, WIGOLO_GITHUB_TOKEN, WIGOLO_TLS_TIER, WIGOLO_EAGER_WARMUP, WIGOLO_API_TOKEN, PROXY_URL. The server will not start without them, which is usually why the tools fail to appear on a first run. Keep credentials in your client's env block or a secrets manager rather than in a file you might commit.

Adding it to your client

Being a remote server, there is no local install. You register the endpoint with your client, authorise it once, and the tools appear.

When to reach for it

Among the AI and media services options, the useful question is rarely "what can it do" but "what does it cost you to run" — permissions, credentials, and how much of your context its toolset consumes. It is maintained by KnockOutEZ; worth a glance at recent repository activity before you build anything load-bearing on it.

This entry was verified against Wigolo's own documentation before publication; SyncDev keeps the directory reviewed rather than auto-generated.

Caveats

  • Your data travels to the provider's service, so the usual questions apply about what you send and what they retain.
  • Missing credentials fail quietly in some clients — if no tools show up, check the environment block first.
  • MCP clients confirm each tool call by default. Leave that on until you have watched what the wigolo mcp server does with a few real requests.

How to install the Wigolo MCP server

{
  "mcpServers": {
    "wigolo": {
      "command": "npx",
      "args": ["-y", "wigolo"],
      "env": {
        "WIGOLO_LLM_PROVIDER": "your-value",
        "GEMINI_API_KEY": "your-value",
        "WIGOLO_SEARCH": "your-value",
        "WIGOLO_GITHUB_TOKEN": "your-value",
        "WIGOLO_TLS_TIER": "your-value",
        "WIGOLO_EAGER_WARMUP": "your-value",
        "WIGOLO_API_TOKEN": "your-value",
        "PROXY_URL": "your-value"
      }
    }
  }
}

Add to claude_desktop_config.json, then restart Claude Desktop.

Configuration

VariableDescriptionRequired
WIGOLO_LLM_PROVIDERConfiguration value read at startup.Optional
GEMINI_API_KEYCredential the server authenticates with.Yes
WIGOLO_SEARCHConfiguration value read at startup.Optional
WIGOLO_GITHUB_TOKENCredential the server authenticates with.Yes
WIGOLO_TLS_TIERConfiguration value read at startup.Optional
WIGOLO_EAGER_WARMUPConfiguration value read at startup.Optional
WIGOLO_API_TOKENCredential the server authenticates with.Yes
PROXY_URLEndpoint or connection string the server talks to.Yes

Frequently asked questions

It connects Wigolo to MCP-compatible AI assistants such as Claude and Cursor. Instead of copying data back and forth by hand, the assistant works with Wigolo directly.