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Merge pull request #2632 from DerekMelchin/patch-2
Add QuantConnect MCP Server to README
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README.md

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@@ -355,6 +355,7 @@ Official integrations are maintained by companies building production ready MCP
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- <img height="12" width="12" src="https://put.io/images/favicon.ico" alt="Put.io Logo" /> **[Put.io](https://github.com/putdotio/putio-mcp-server)** - Interact with your Put.io account to download torrents.
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- <img height="12" width="12" src="https://qdrant.tech/img/brand-resources-logos/logomark.svg" /> **[Qdrant](https://github.com/qdrant/mcp-server-qdrant/)** - Implement semantic memory layer on top of the Qdrant vector search engine
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- <img src="https://api.qoretechnologies.com/api/public/apps/Qorus/qorus-logo.svg" alt="Qorus" width="12" height="12"> **[Qorus](https://qoretechnologies.com/manual/qorus/current/qorus/sysarch.html#mcp_server)** - Connect to any application, system, or technology and automate your business processes without coding and with AI
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- <img height="12" width="12" src="https://avatars.githubusercontent.com/u/3912814" alt="QuantConnect Logo" /> **[QuantConnect](https://github.com/QuantConnect/mcp-server)** - Interact with your [QuantConnect](https://www.quantconnect.com/) account to update projects, write strategies, run backtest, and deploying strategies to production live-trading.
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- **[Quickchat AI](https://github.com/incentivai/quickchat-ai-mcp)** - Launch your conversational [Quickchat AI](https://quickchat.ai) agent as an MCP to give AI apps real-time access to its Knowledge Base and conversational capabilities
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- <img height="12" width="12" src="https://avatars.githubusercontent.com/u/165178062" alt="Ragie Logo" /> **[Ragie](https://github.com/ragieai/ragie-mcp-server/)** - Retrieve context from your [Ragie](https://www.ragie.ai) (RAG) knowledge base connected to integrations like Google Drive, Notion, JIRA and more.
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- <img height="12" width="12" src="https://www.ramp.com/favicon.ico" /> **[Ramp](https://github.com/ramp-public/ramp-mcp)** - Interact with [Ramp](https://ramp.com)'s Developer API to run analysis on your spend and gain insights leveraging LLMs

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