ClariLayer
Give agents a persistent analyst context layer that bootstraps, reconciles, and remembers your data definitions across sessions.
Overview
ClariLayer is a Build-phase MCP server that bootstraps, reconciles, and remembers personal data-analyst context for your AI coding agent.
What is this MCP server?
- Remote streamable-http MCP at https://clarilayer.com/api/mcp/mcp
- Bootstrap, reconcile, and remember individual-analyst data context
- Bearer context key (cl_…) minted at clarilayer.com via Connect your AI
- Version 0.1.0 — context layer over MCP, not a warehouse replacement
- Server version 0.1.0
- Remote endpoint: https://clarilayer.com/api/mcp/mcp
- Auth: Bearer cl_ context key (required secret header)
Community signal: 1 GitHub stars.
What problem does it solve?
Every new agent thread forgets your metric definitions, joins, and prior analysis, so you re-teach the same data context repeatedly.
Who is it for?
Solo builders and analyst-founders who live in MCP agents and need durable semantics over spreadsheets, warehouses, or ad hoc exports.
Skip if: Teams needing enterprise data governance, ETL orchestration, or warehouse administration without a ClariLayer account.
What do I get? / Deliverables
After connecting with a ClariLayer context key, agents can reuse reconciled, remembered analyst context instead of starting from a blank slate.
- Reusable analyst context bootstrapped into agent sessions
- Reconciled metric and data definitions across chats
- Remote MCP registration without self-hosting a memory service
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Journey fit
ClariLayer sits where you wire agent behavior to durable analytical context—before deep Ship or Grow reporting, but after raw idea research. Agent-tooling is the canonical shelf for MCP services that shape how the agent remembers and aligns on data context, not a single app feature.
How it compares
Hosted analyst-memory MCP layer, not a database MCP server or spreadsheet integration alone.
Common Questions / FAQ
Who is ClariLayer for?
Individual builders and analysts who want agents to retain and reconcile data context across MCP sessions without rebuilding prompts each time.
When should I use ClariLayer?
Use it during Build-phase agent setup and ongoing analytics work when metric drift and forgotten context slow down questions and codegen.
How do I add ClariLayer to my agent?
Mint a Bearer context key at clarilayer.com (Connect your AI), add the remote MCP URL with Authorization header support in your client, and point to the streamable-http endpoint.