Integrating ConvAI with Model Context Protocol (MCP)

Core Features Core API
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Hi all,

I’m looking into whether ConvAI can be integrated with the Model Context Protocol (MCP) to improve context handling and tool use. MCP is an open-source client-server protocol for connecting AI models with external systems.

Has anyone tried this? Is ConvAI compatible with MCP, and what would integration involve?

Appreciate any insights or experiences!

Thanks,

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Hi @emtech_ME

Thanks for raising this! At the moment, Convai doesn’t offer out-of-the-box support for the Model Context Protocol (MCP), but we’d love to explore it as a future roadmap feature.

In the meantime, you can leverage our External API capability on Convai Playground to define custom “tools” in Python and connect to virtually any external system. You’ll have full access to the Python standard library plus the requests library, so you can implement the functions to get the necessary data ( MCP client calls ) yourself and wire them into your character.

Feel free to start from our existing tool templates, and let me know if you face any issues. At the moment, this feature is supported by GPT-4o, GPT-4o-mini, and Claude models.

Thanks

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