Feature
Your compiled knowledge, available to every AI that asks for it.
Your compiled knowledge graph — structured, dependency-ordered, contradiction-resolved — available to any AI tool via Model Context Protocol. Instead of pasting raw documents into a prompt, your AI gets the compiled version: the minimum sufficient context, in the right order, with conflicts already flagged.
Why this matters
A feature is only valuable if it makes the compiled graph more defensible in real use.
MCP integration is in progress. Join the waitlist to be notified when it ships.
What it does
This feature turns hidden assumptions into something you can inspect.
Capability 01
Connect any MCP-compatible AI to your compiled SILKLEARN workspace
Capability 02
Skills and extensions for Cursor, Claude, Copilot, and Windsurf
Capability 03
Agents get the minimum sufficient context — not a raw document dump
In depth
Most AI tools get context wrong. They retrieve document chunks based on query similarity — which means they bring in fragments, miss prerequisites, and include contradictions the user doesn't know about. SILKLEARN's MCP integration changes this. Your compiled knowledge graph — with its dependency order, conflict flags, and source provenance — becomes an MCP server that any AI client can connect to. Claude, Cursor, GitHub Copilot, and Windsurf can pull exactly the nodes required for the task at hand, in the order they need to be processed, with contradictions already surfaced. The agent doesn't guess at context. It gets the compiled version.
How it works
Step by step
- 01
Compile your knowledge first
Run your documents through SILKLEARN. The result is a dependency graph with every concept ordered, every contradiction flagged, and every node linked to its source.
- 02
Enable MCP server
With one toggle, your compiled workspace becomes an MCP server. Any AI tool that supports the Model Context Protocol can connect to it.
- 03
Install the skill or extension
Install the SILKLEARN skill for your preferred tool — Cursor, Claude Desktop, GitHub Copilot, or Windsurf. The skill knows how to query your compiled workspace.
- 04
AI pulls compiled context
When your AI agent needs context, it queries SILKLEARN instead of raw documents. It gets the minimum sufficient nodes — in dependency order — for whatever task it is working on.
- 05
Contradictions are already resolved
By the time context reaches your AI, your team has already reviewed and resolved the contradictions in the source material. No silent inconsistencies in the prompt.
Common questions
- What is MCP?
- Model Context Protocol is an open standard that lets AI clients (like Claude or Cursor) connect to external data sources and tools. When SILKLEARN exposes your compiled knowledge as an MCP server, your AI tools can query it directly — structured, ordered context instead of raw document retrieval.
- Which AI tools will be supported?
- Any tool that supports MCP — Claude Desktop, Cursor, GitHub Copilot (via extensions), and Windsurf at launch. We are also building dedicated skills and plugins for each tool for the best integration experience.
- When is this available?
- MCP integration is coming soon. Join the waitlist to be notified when it ships.
- How is this different from giving an AI my documents directly?
- Raw documents give the AI too much or the wrong context. SILKLEARN's compiled version gives it the exact nodes required for the task, in dependency order, with contradictions already resolved. The AI reasons better because the context is better.
Related paths
See where this capability becomes operationally useful.
Next step