# Agentic AI

## Why use Agentic AI?

Agentic workflows are transforming how chemists and pharmaceutical researchers approach the Design-Make-Test-Analyze cycle. Rather than mastering numerous specialized software platforms, scientists can now operate as high-level supervisors while AI agents leverage best-in-class MCP tools to accomplish project objectives. This enables researchers to execute sophisticated, comprehensive campaigns—from de novo molecular design through synthetic route planning—in significantly less time than traditional manual approaches. Pending AI's agentic platform is built to enhance discovery pipeline success rates and accelerate the development of new therapeutics.

## Resources

See the different pages below for more information about our <i class="fa-sparkles">:sparkles:</i> Agentic AI capabilities.

<table data-card-size="large" data-view="cards" data-full-width="false"><thead><tr><th align="center"></th><th align="center"></th><th data-hidden data-card-target data-type="content-ref"></th></tr></thead><tbody><tr><td align="center"><h4>MCP Server</h4></td><td align="center">Get more information about what the Pending AI MCP Server can achieve.</td><td><a href="/pages/KHHEbG66bToi6ufEfF5F">/pages/KHHEbG66bToi6ufEfF5F</a></td></tr><tr><td align="center"><h4>Quickstart</h4></td><td align="center">Connect to the Pending AI MCP Server directly from your connector of choice.</td><td><a href="/pages/V4NTdYgamVaL59HQcrPj">/pages/V4NTdYgamVaL59HQcrPj</a></td></tr></tbody></table>


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# Agent Instructions: Querying This Documentation

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

```
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```

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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.
