wigolo-llamaindex 0.2.0

LlamaIndex reader for wigolo — local-first web search MCP server

wigolo-llamaindex

LlamaIndex reader for wigolo — a local-first web search MCP server for AI coding agents.

Installation

pip install wigolo-llamaindex

Requires wigolo to be available via npx:

npm install -g wigolo
# or use npx (default, no install needed)

Quick Start

Fetch URLs into Documents

from wigolo_llamaindex import WigoloMcpClient, WigoloWebReader

async def main():
    async with WigoloMcpClient() as client:
        reader = WigoloWebReader(client=client)
        docs = await reader.aload_data(urls=[
            "https://docs.python.org/3/library/asyncio.html",
            "https://docs.python.org/3/library/typing.html",
        ])
        for doc in docs:
            print(f"{doc.metadata['title']}: {len(doc.text)} chars")

Search and Load

from wigolo_llamaindex import WigoloMcpClient, WigoloSearchReader

async def main():
    async with WigoloMcpClient() as client:
        reader = WigoloSearchReader(
            client=client,
            max_results=5,
            include_domains=["docs.python.org"],
        )
        docs = await reader.aload_data(query="Python asyncio best practices")

Use in a RAG Pipeline

from llama_index.core import VectorStoreIndex
from wigolo_llamaindex import WigoloMcpClient, WigoloWebReader

async def build_index():
    async with WigoloMcpClient() as client:
        reader = WigoloWebReader(client=client)
        docs = await reader.aload_data(urls=[
            "https://react.dev/learn",
            "https://react.dev/reference/react",
        ])
        index = VectorStoreIndex.from_documents(docs)
        return index

Section Extraction

reader = WigoloWebReader(client=client, section="API Reference")
docs = await reader.aload_data(urls=["https://docs.example.com/api"])
# Only loads the "API Reference" section from each page

API Reference

WigoloMcpClient

Async MCP client that communicates with wigolo via subprocess.

• command — executable (default: "npx")
• args — arguments (default: ["wigolo"])
• timeout — seconds (default: 30.0)
• Supports async with context manager

WigoloWebReader

Fetches URLs and converts to Documents.

• client — WigoloMcpClient instance
• render_js — "auto", "always", "never" (default: "auto")
• section — extract only a specific heading section
• max_chars — cap content length
• use_auth — use stored browser session

Methods:

• load_data(urls: list[str]) -> list[Document]
• aload_data(urls: list[str]) -> list[Document]
• lazy_load_data(urls: list[str]) -> Iterator[Document]

WigoloSearchReader

Searches the web and converts results to Documents.

• client — WigoloMcpClient instance
• max_results — default 5
• include_domains / exclude_domains — domain filters
• category — "general", "code", "docs", "news", "papers"

Methods:

• load_data(query: str) -> list[Document]
• aload_data(query: str) -> list[Document]
• lazy_load_data(query: str) -> Iterator[Document]

License

GNU AGPL-3.0-only — same license as the parent wigolo project. Full terms in the root LICENSE.