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MaxKB

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Open-source platform for enterprise-grade AI agents with RAG and workflows.

MCP ServerCommunicationLocal (stdio) 21.3k
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Updated 2026-06-15

What is the MaxKB MCP server?

MaxKB combines a powerful workflow engine with MCP tool-use capabilities, enabling complex business process orchestration. It allows seamless zero-code integration into third-party systems for intelligent Q&A features across customer service, knowledge bases, research, and education scenarios.

Built with Vue.js, Django, LangChain, and PostgreSQL with pgvector, MaxKB runs easily via Docker and supports both private models like DeepSeek or Qwen and public ones such as OpenAI or Claude.

Install & connect

Set up this server, then add it to your MCP client.

Installation

Docker

Docker
docker run -d --name=maxkb --restart=always -p 8080:8080 -v ~/.maxkb:/opt/maxkb 1panel/maxk

Full setup instructions are in the GitHub repository.

Example prompts

Once connected, try asking your AI client:

“Set up a customer support agent using my uploaded product manuals
“Create a workflow that summarizes research papers from a shared folder
“Integrate MaxKB with our internal wiki for employee Q&A
“Build an agent that handles multi-modal queries with images and text

Security & permissions

Runs locally via Docker on stdio transport with access to mounted volumes for document storage; requires no external API keys unless connecting to third-party LLMs.

What you can do with MaxKB

Intelligent Customer Service

Deploy RAG-powered chatbots that answer queries from uploaded company documents with reduced hallucinations.

Internal Knowledge Base

Create searchable corporate knowledge systems by crawling and vectorizing internal documents and web content.

Academic Research Assistant

Build agents that process research papers and multi-modal data for literature review and summarization tasks.

How to use MaxKB

  1. 1Run the Docker command to start the MaxKB container on port 8080.
  2. 2Mount a local volume for persistent data storage.
  3. 3Access the web UI at http://your_server_ip:8080 using default admin credentials.
  4. 4Upload documents or configure data sources to build RAG pipelines.
  5. 5Define workflows and connect supported LLMs for agent deployment.

MaxKB: pros & cons

Pros

  • +Strong RAG and workflow features out of the box
  • +Model-agnostic with broad LLM support
  • +Easy Docker deployment and zero-code integration
  • +Multi-modal input/output capabilities

Cons

  • –No specific MCP tools documented in the README
  • –Default credentials must be changed immediately for security
  • –Primarily a full platform rather than lightweight MCP server
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Frequently asked questions

MaxKB is an open-source enterprise agent platform featuring RAG, workflows, and MCP tool-use.

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