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→ Unabyss Context Layer
Unabyss Context Layer
MCP-native self-updating context layer that extracts and structures personal and team context from LinkedIn, Notion, Gmail, Slack, GitHub, and other sources into clean layered files. AI agents pull exactly the right context automatically via MCP with item-level permission controls ensuring blocked context never reaches the model. Scores and extracts only relevant lines with up to 10x fewer tokens. Works with Claude, Cursor, Claude Code, ChatGPT, and any MCP-compatible agent. Launched on Product Hunt in June 2026.
MCP unverified
Integration
| Transport | http |
| Auth | api-key |
| Endpoint | unabyss-mcp |
Use Cases
| 01 | Give AI agents structured personal and team context from multiple sources so they understand your work without repeated explanation |
| 02 | Control exactly what context AI models can access with item-level permission toggles across private, professional, and company-confidential data |
| 03 | Reduce token usage by up to 10x while improving AI response quality through scored context extraction that returns only relevant information |
Tags
context personal-ai memory knowledge-management permissions multi-source productivity
Machine-readable: /api/servers.json
· JSON-LD schema embedded in <head>