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[GH-ISSUE #4872] [FEAT]: Enterprise Vector Database Support & MCP Server Exposure for AgentFlows/Documents #3069

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opened 2026-02-22 18:32:29 -05:00 by yindo · 0 comments
yindo commented 2026-02-22 18:32:29 -05:00
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Originally created by @drdedge on GitHub (Jan 17, 2026).
Original GitHub issue: https://github.com/Mintplex-Labs/anything-llm/issues/4872

What would you like to see?

1. Enterprise Vector Database Integrations

Request: Add support for enterprise-grade vector database services:

  • Azure AI Search - Microsoft's managed vector search service, commonly required in Azure-centric enterprises with existing Microsoft/Azure agreements
  • Amazon OpenSearch - AWS's managed search and vector database service, essential for organisations running on AWS infrastructure

2. Expose AgentFlows and Documents as MCP Server Tools

Request: Allow AnythingLLM to act as an MCP (Model Context Protocol) server, exposing:

  • AgentFlows as callable tools
  • Document collections/workspaces as searchable knowledge bases

Use case:
This would enable "build, test, deploy" workflow for AI Devs in corporate environments that can then integrate into an existing stack of tools.

Originally created by @drdedge on GitHub (Jan 17, 2026). Original GitHub issue: https://github.com/Mintplex-Labs/anything-llm/issues/4872 ### What would you like to see? ### 1. Enterprise Vector Database Integrations **Request:** Add support for enterprise-grade vector database services: - **Azure AI Search** - Microsoft's managed vector search service, commonly required in Azure-centric enterprises with existing Microsoft/Azure agreements - **Amazon OpenSearch** - AWS's managed search and vector database service, essential for organisations running on AWS infrastructure ### 2. Expose AgentFlows and Documents as MCP Server Tools **Request:** Allow AnythingLLM to act as an MCP (Model Context Protocol) server, exposing: - **AgentFlows** as callable tools - **Document collections/workspaces** as searchable knowledge bases **Use case:** This would enable "build, test, deploy" workflow for AI Devs in corporate environments that can then integrate into an existing stack of tools.
yindo added the enhancementfeature request labels 2026-02-22 18:32:29 -05:00
yindo changed title from [FEAT]: Enterprise Vector Database Support & MCP Server Exposure for AgentFlows/Documents to [GH-ISSUE #4872] [FEAT]: Enterprise Vector Database Support & MCP Server Exposure for AgentFlows/Documents 2026-06-05 14:50:07 -04:00
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Reference: Mintplex-Labs/anything-llm#3069
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