> ## Documentation Index
> Fetch the complete documentation index at: https://langchain-5e9cc07a-preview-opensw-1774858546-a100bff.mintlify.site/llms.txt
> Use this file to discover all available pages before exploring further.

# Mojeek search integration

> Integrate with the Mojeek search tool using LangChain Python.

The following notebook will explain how to get results using Mojeek Search. Please visit [Mojeek Website](https://www.mojeek.com/services/search/web-search-api/) to obtain an API key.

```python theme={null}
from langchain_community.tools import MojeekSearch
```

```python theme={null}
api_key = "KEY"  # obtained from Mojeek Website
```

```python theme={null}
search = MojeekSearch.config(api_key=api_key, search_kwargs={"t": 10})
```

In `search_kwargs` you can add any search parameter that you can find on [Mojeek Documentation](https://www.mojeek.com/support/api/search/request_parameters.html)

```python theme={null}
search.run("mojeek")
```

***

<div className="source-links">
  <Callout icon="edit">
    [Edit this page on GitHub](https://github.com/langchain-ai/docs/edit/main/src/oss/python/integrations/tools/mojeek_search.mdx) or [file an issue](https://github.com/langchain-ai/docs/issues/new/choose).
  </Callout>

  <Callout icon="terminal-2">
    [Connect these docs](/use-these-docs) to Claude, VSCode, and more via MCP for real-time answers.
  </Callout>
</div>
