Freshness
Updated source context
Use feeds when the agent needs current information beyond model training data and static documentation.
LLM-readable news
A Markdown news feed for LLMs should still preserve structure.
Markdown is easy for LLMs to read, but production workflows still need structured fields behind the text: source URL, published date, stable ID, tags, and citation metadata.
Synorb uses source-grounded Manifests as the durable object, so teams can render clean text for models while keeping the structured record for storage and audit.
MCP · REST · Source URLs · Stable IDs · Manifests
01 / Criteria
What should the data layer include?
For LLM-readable news context backed by structured source-grounded Manifests, the useful unit is not a loose search result. It is an object the agent can retrieve, cite, filter, store, and audit.
Grounding
Evidence stays attached
Source URLs, dates, and stable IDs help the application cite, inspect, and audit what the model used.
Delivery
MCP, REST, webhooks, and archives
Agents can explore through Core MCP. Production systems use REST and webhooks for current delivery. The live window covers the current calendar month plus the previous three full months; S3 archive exports support historical backfills and replay for older months.
02 / Shape
A Manifest is the object the agent can use.
This JSON manifest is the source-grounded object delivered through MCP or REST. It is compact enough for an agent workflow and explicit enough for an application to store, cite, and audit.
Manifest excerptJSON
{
"manifest_id": "1777525429698648000",
"headline": "Source-grounded update for an AI workflow",
"summary": "What changed, why it matters, and what source supports it.",
"source": {
"name": "Watched source",
"url": "https://source.example/update",
"published_date": "2026-06-21"
},
"delivery": {
"mcp": "https://mcp.synorb.com/mcp",
"rest": "https://api.synorb.com"
},
"tags": ["company", "topic", "source-backed"]
}
03 / Fit
Where Synorb fits in the workflow.
Use Synorb when your team already knows the sources or topics it needs to monitor, and the workflow needs current context again and again. Use search or crawling for open-ended discovery.
Agents
Pull live context
Use Synorb MCP to discover Streams, inspect details, and retrieve Manifests inside an agent workflow.
RAG
Load before prompts
Push source-grounded Manifests into retrieval stores before users ask for current answers.
Apps
Render with citations
Build dashboards, feeds, monitors, and briefings with source URLs available at display time.
FAQ
Short answers for AI builders.
Why do developers search for Markdown news feeds for LLMs?
They want compact text that models can read without boilerplate, navigation, ads, or page chrome.
Is Markdown enough for production agents?
Markdown helps the model read context, but production apps also need stable IDs, source URLs, dates, tags, and provenance.
How does Synorb handle LLM-readable context?
Synorb creates Manifests with structured source metadata and summaries that can be rendered into agent-friendly text when needed.
Can the same object feed RAG and dashboards?
Yes. The Manifest can be stored, embedded, rendered, cited, or routed through application workflows.
Test
Test Synorb feeds for free.
Want to connect to Synorb's graph to test source-grounded feeds for free? Start with free test credentials, then connect through Core MCP or REST.
Free test credentialscurl
curl -s https://synorb.com/connect
Start
Give your agent fresh source-backed context.
Start with keys, then connect through Core MCP while building or REST when your application owns the workflow.