# Connectors

<table data-view="cards"><thead><tr><th></th><th data-type="content-ref"></th><th data-hidden data-card-cover data-type="image">Cover image</th></tr></thead><tbody><tr><td>Anthropic's reasoning AI for complex accounting workflows</td><td><a href="/pages/A6RXer62v9Ird1NRBb6F">/pages/A6RXer62v9Ird1NRBb6F</a></td><td data-object-fit="contain"><a href="/files/8khBDmOKu21x2t6EgWJL">/files/8khBDmOKu21x2t6EgWJL</a></td></tr><tr><td>OpenAI's versatile AI for financial automation</td><td><a href="/pages/icMCMxNpRJcU5wRodkYw">/pages/icMCMxNpRJcU5wRodkYw</a></td><td data-object-fit="cover"><a href="/files/UMA0whGcKP7VYwXjXKfx">/files/UMA0whGcKP7VYwXjXKfx</a></td></tr><tr><td>Real-time research with source citations and deep search</td><td><a href="/pages/8RyRWkaSFPLIcINh3Qw4">/pages/8RyRWkaSFPLIcINh3Qw4</a></td><td><a href="/files/MAJ0g7TWFKJyRoNHFagS">/files/MAJ0g7TWFKJyRoNHFagS</a></td></tr><tr><td>Microsoft Copilot Studio to agentify app across Office 365 </td><td><a href="/pages/PvMnuyHFowOIWzLU3xnj">/pages/PvMnuyHFowOIWzLU3xnj</a></td><td><a href="/files/Pfu6A3M2JbgDLefakBBt">/files/Pfu6A3M2JbgDLefakBBt</a></td></tr><tr><td>Code editor connected to local and external developer tools</td><td><a href="/pages/GbOPcPISQYUf4uypNcZk">/pages/GbOPcPISQYUf4uypNcZk</a></td><td><a href="/files/HuoxJF2NTu2R0wpdqL3W">/files/HuoxJF2NTu2R0wpdqL3W</a></td></tr><tr><td>Your AI tool supports MCP but we don't have a guide for it yet?</td><td><a href="/pages/fghoZac5AIusUahExSAU">/pages/fghoZac5AIusUahExSAU</a></td><td data-object-fit="cover"><a href="/files/FrH9x09o5Jho8picuBQu">/files/FrH9x09o5Jho8picuBQu</a></td></tr></tbody></table>


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# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://docs.kick.co/ai/kick-mcp/connectors.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.
