mcp-ts-core vs MaxKB
mcp-ts-core: @cyanheads/mcp-ts-core is a TypeScript framework for building MCP servers. It offers declarative tool/resource/prompt definitions with Zod schemas, pluggable authentication, multi-backend storage, OpenTelemetry observability, and runs on both local (stdio/HTTP) and edge (Cloudflare Workers) runtimes. The framework handles infrastructure concerns like transport, auth, storage, config, logging, and lifecycle, so developers can focus on writing business logic.; MaxKB: MaxKB is an open-source platform for building enterprise-grade AI agents with integrated RAG pipelines, workflow orchestration, and MCP tool-use capabilities. It supports direct document upload, automatic web crawling, and multiple embedding models for knowledge base construction. Widely used for intelligent customer service, internal knowledge bases, and academic research applications.
TL;DR
Building MCP servers for AI tools and agents
- You want an all-in-one knowledge-base and workflow agent platform that starts with a single Docker command and embeds easily into websites.
- You need broad support for domestic Chinese LLM providers alongside global models for internal enterprise Q&A.
- You cannot use GPL-3.0 licensed software in your commercial distribution; RAGFlow is Apache-2.0.
- Your primary bottleneck is extracting complex tables and layouts from messy scanned PDFs; RAGFlow's deep document parser goes further.
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