Persistent JSON memory for AI agents across orchestrators and runtime environments.
Critical failures across all dimensions. No input schemas visible in source code, only tool names and brief descriptions in mcp.json manifest. No parameter definitions, type information, or output schemas documented. Descriptions are generic (10-50 chars) and lack actionable context. No error handling guidance, no security considerations, no composition hints. Tool definitions appear inferred from manifest rather than explicitly registered with full schemas. This is a configuration file, not a functional MCP server implementation.
Delete JSON data from persistent memory
Retrieve JSON data from persistent memory
Store JSON data in persistent memory
View memory usage statistics
No input schemas visible. Tools lack parameter definitions, types, constraints, and descriptions.
Descriptions are generic and under 20 characters (e.g., 'Store JSON data in persistent memory'). Lack actionable context for LLM tool selection.
No output schemas documented. LLMs cannot plan downstream calls or extract required fields. Missing pagination info for retrieve_json (could return large datasets).
Destructive tool (delete_json) lacks confirmation/dry-run pattern and error recovery guidance. No indication of what happens on failure or how to undo.
| Scored | Grade | Overall | Spec posture | Rubric |
|---|---|---|---|---|
| 2026-09-23 | F | 30 | 2026-07-28+ | v2 |
Tool definitions inferred from manifest only; no explicit registration with full schemas visible in source.