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MaxKB

MCP Server

Enterprise‑grade AI agent platform with RAG and workflow orchestration.

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About

MaxKB is an open‑source platform that enables organizations to build intelligent agents using Retrieval‑Augmented Generation pipelines, a powerful workflow engine, and MCP tool‑use capabilities. It supports multi‑modal input/output, model‑agnostic deployment, and zero‑coding integration for customer service, knowledge bases, and research.

Capabilities

Resources
Access data sources
Tools
Execute functions
Prompts
Pre-built templates
Sampling
AI model interactions

MaxKB Overview

MaxKB (Maximum Knowledge Brain) is an open‑source, enterprise‑grade agent platform that bridges the gap between large language models and real‑world business data. It solves a core problem for AI developers: how to give a generative model reliable, up‑to‑date knowledge without sacrificing performance or introducing hallucinations. By combining Retrieval‑Augmented Generation (RAG) with a powerful workflow engine, MaxKB turns raw documents and live data into actionable intelligence that can be consumed by any AI assistant.

At its core, MaxKB exposes a set of Model Context Protocol (MCP) resources that let external clients upload documents, configure crawling jobs, and trigger vectorization. The RAG pipeline automatically splits content into manageable chunks, converts them to embeddings, and stores them in a vector index. When an AI assistant receives a query, MaxKB retrieves the most relevant passages and feeds them back into the model’s prompt. This tight integration dramatically reduces hallucinations, ensuring that answers are grounded in verified source material—an essential requirement for customer support, compliance, and research applications.

The platform’s workflow engine is a standout feature. Developers can stitch together multiple MCP tools—such as web scraping, database queries, or custom scripts—into a directed graph that the assistant can execute on demand. Coupled with a library of pre‑built functions and support for any LLM (private or public), MaxKB allows teams to create sophisticated, end‑to‑end agents without writing boilerplate code. The zero‑coding integration layer further accelerates adoption: existing business systems can be wired to MaxKB via simple API calls, instantly gaining intelligent Q&A capabilities.

Real‑world use cases span from enterprise customer service bots that pull policy documents in real time, to academic research assistants that surface the latest papers from multiple repositories. The platform’s native multimodal support means images, audio, and video can be ingested and queried alongside text, opening possibilities in fields such as medical diagnostics or multimedia content moderation.

In summary, MaxKB provides a turnkey MCP server that equips developers with RAG pipelines, workflow orchestration, and multimodal data handling—all wrapped in a model‑agnostic architecture. It empowers AI assistants to deliver accurate, contextually rich responses while seamlessly integrating into existing business workflows.