Sourceharbor FAQs

Question 1

Can Sourceharbor be integrated into existing AI agent workflows?

Accepted Answer

Yes, Sourceharbor is built with builder and agent workflows in mind. It provides builder entry points such as a robust HTTP API and an MCP (Machine-Coded Protocol) surface, making it ideal for integration with AI coding agents like Codex or Claude Code, allowing them to query and drive system truth.

Question 2

How does Sourceharbor ensure information is verifiable and reliable?

Accepted Answer

Sourceharbor operates on a 'source-first and proof-first' principle. It provides grounded search results, knowledge cards, and traceable job runs, enabling users to inspect, verify, and trace information directly back to its original source rather than relying solely on summaries.

Question 3

What content sources does Sourceharbor support for ingestion?

Accepted Answer

Sourceharbor offers strong support for ingesting content from YouTube channels and Bilibili creators. Additionally, it provides general support for RSSHub routes and standard RSS/Atom feeds, allowing for a unified intake across diverse media types.

Question 4

What is Sourceharbor?

Accepted Answer

Sourceharbor is an AI knowledge control tower designed to manage and process content from various online sources like YouTube, Bilibili, RSSHub, and RSS feeds. It transforms raw ingested data into verifiable insights, trends, briefings, and builder-ready API/MCP surfaces for operational intelligence.

Question 5

What kind of insights and outputs can I get from Sourceharbor?

Accepted Answer

Sourceharbor generates dynamic knowledge outputs including watchlists, trends, and briefings for comprehensive analysis. It also offers grounded search capabilities, knowledge cards for quick verifiable facts, and exports of traceable job artifacts, all accessible via its web command center, HTTP API, or MCP surface.

Sourceharbor

Sourceharbor

Key Features

Use Cases

Key Features

Use Cases