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incentivai/quickchat-ai-mcp

incentivai/quickchat-ai-mcp

๐Ÿ ๐Ÿ  โ˜๏ธ - Expose your Quickchat AI agent as an MCP server, giving AI apps real-time access to its knowledgeโ€ฆ
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Official descriptionthubusercontent.com/incentivai/quickchat-ai-mcp/main/img/background.jpg"/> Quickchat AI MCP server The Quickchat AI MCP (Model Context Protocol) server allows you to let anyone plug in your Quickchat AI Agent into their favourite AI app such as Claude Desktop, Cursor, VS Code, Windsurf and more.
Config template (adjust for your client)
claude mcp add quickchat-ai-mcp -- npx -y quickchat-ai-mcp
A pasteable skeleton generated from the repository name. Check the project README for the exact package and arguments.
Star count
24 โ˜… ยท incentivai/quickchat-ai-mcp ยท read from the repository page ยท (checked 2026-10-16 20:00:20)
Source
collected from the punkpeye/awesome-mcp-servers list ยท type: MCP server
Harvest history
first seen 2026-10-09 ยท last seen 2026-10-16 ยท seen 32ร— ยท listed by 7 sources
Score
score 703 ยท 24 โ˜… ยท 7 sources ยท mcp
FAQ (answers come from our records)
How do I install it?
We did not find an install command for this repository (our install coverage is only about 4%). Check its README or releases page.
Who is it for?
We filed it under these tags: MCP ๆœๅŠก. The tags come from the entry itself, not a taxonomy we imposed.
Who maintains it?
repository incentivai/quickchat-ai-mcp๏ผ›first catalogued 2026-10-09๏ผ›last seen 2026-10-16ใ€‚There is no official certification or quality rating here โ€” we record sources and dates only.
Third-party quality signals

Quickchat AI MCP server

ไปฅไธ‹ๆ‘˜ๅฝ•่‡ช่ฏฅไป“ๅบ“็š„ README๏ผˆ็‰‡ๆฎต๏ผ‰ ยท ๅœจ GitHub ่ฏปๅฎŒๆ•ด README โ†’

The Quickchat AI MCP (Model Context Protocol) server allows you to let anyone plug in your Quickchat AI Agent into their favourite AI app such as Claude Desktop, Cursor, VS Code, Windsurf and more.
Quickstart
1. Create a Quickchat AI account and start a 7-day trial of any plan.
2. Set up your AI's Knowledge Base, capabilities and settings.
3. Go to the MCP page to activate your MCP. Give it **Name**, **Description** and (optional) **Command**. They are important - AI apps need to understand when to contact your AI, what its capabilities and knowledge are.
4. That's it! Now you're ready to test your Quickchat AI via any AI app and show it to the world!
Claude tool anatomy
Cursor tool anatomy
Useful links
- Quickstart video youtube.com/watch?v=JE3dNiyZO8w
- Quickstart blog post: quickchat.ai/post/how-to-launch-your-quickchat-ai-mcp
- MCP (Model Context Protocol) explained: quickchat.ai/post/mcp-explained
- The Quickchat AI MCP package on PyPI: pypi.org/project/quickchat-ai-mcp
- The Quickchat AI MCP GitHub repo: github.com/quickchatai/quickchat-ai-mcp
Prerequisite
Install uv using:
or read more here.
Test with Claude Desktop
Configuration
Go to Settings > Developer > Edit Config. Open the _claude_desktop_config.json_ file in a text editor. If you're just starting out, the file is going to look like this:
This is where you can define all the MCPs your Claude Desktop has access to. Here is how you add your Quickchat AI MCP:
Go to the Quickchat AI app > MCP > Integration to find the above snippet with the values of MCP Name, SCENARIO_ID and API_KEY filled out.
Test with Cursor
Configuration
Go to Settings > Cursor Settings > MCP > Add new global MCP server and include the Quickchat AI MCP snippet:
As before, you can find values for MCP Name, SCENARIO_ID and API_KEY at Quickchat AI app > MCP > Integration.
Test with other AI apps
Other AI apps will most likely require the same configuration but the actual steps to include it in the App itself will be different. We will be expanding this README as we go along.
Launch your Quickchat AI MCP to the world!
Once you're ready to let other users connect your Quickchat AI MCP to their AI apps, share configuration snippet with them! However, you need to make sure they can use your Quickchat AI MCP **without your Quickchat API key**. Here is how to do that:
1. On the Quickchat App MCP page, turn the **Require API key** toggle **OFF**.
2. Share the configuration snippet _without the API key_:
---
Cool features
- You can control all aspects of your MCP from the Quickchat AI dashboard. _One click and your change is deployed_. That includes the MCP name and description - all your users need to do is refresh their MCP connection.
Source
awesome ยท https://github.com/incentivai/quickchat-ai-mcp
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