Transform RSS feeds, documents, and websites into intelligent knowledge bases that any AI can access via MCP servers. The fastest way to make your organization’s knowledge searchable without the complexity of building your own RAG infrastructure.
Set up in 2 clicks, not 2 sprints • MCP-compatible • Pay only for what you use
Set up AI knowledge bases in minutes. No infrastructure needed.
Add RSS feeds, websites, documents, or podcasts. Works with everything you already have.
Automatic ingestion, chunking, embedding, and serving. The entire RAG pipeline handled correctly, so you don’t have to.
Your content becomes an MCP server that works with Claude, ChatGPT, or any AI agent. Standard MCP means no lock-in.
Start with any content sources you want to monitor, then connect them to chatbots and MCP servers however works best for your workflow. Change it up anytime as your needs evolve.
RSS feeds, websites, documents, audio, video. If it’s content, we can index it. Start small and scale as needed.
First-class support for the emerging MCP standard. Each knowledge base gets its own server endpoint that works with any AI.
No surprise bills, just credits you control. Usage-based pricing means you only pay for what you actually use.
Managed vector search, automatic content syncing, and MCP server endpoints. All the infrastructure you need, none of the complexity.
Keep your AI agents current with the latest papers, reports, and findings from academic and commercial research
Track breaking news and trending topics across hundreds of sources automatically
Make company docs, wikis, and databases instantly searchable by any AI agent
Easy option to try RAG before committing to building your own solution
It shouldn’t take a data engineering team to make your docs searchable by AI. Join teams who’ve ditched the complexity for Context Indexer’s simple approach.
Free tier available • MCP-ready • Usage-based pricing
Context Indexer
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