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Use a shared validated database of structured records across AI chats.
Copy the install command and let the AI configure it · recommended for beginners
Please install the "Statey" MCP server from askskill: Run: claude mcp add --transport http 'ai-statey-statey' 'https://mcp.statey.ai/mcp'
Please organize the following project items into structured records and validate whether these fields are complete: project name, owner, stage, due date, and risk notes.
Structured project records with consistent formatting and field completeness checks.
Save this set of customer details as reusable structured records so future chats can read and update them using the same fields.
Customer records that can be shared and continuously updated across different AI conversations.
Convert these knowledge entries into structured records and flag any missing or invalid fields.
Standardized records plus warnings for missing fields or validation issues.
Developers, product managers, or researchers can store recurring information as shared records instead of pasting and reformatting it in every conversation. Different chats can then continue working from the same structured data.
When data needs fixed fields and a consistent format, this tool can help validate whether records are complete and match the expected structure. It is useful for reducing omissions and inconsistency from free-form text.
Users can turn information produced in conversations into structured records for later reuse and updates. Compared with scattered messages, this approach is better suited for ongoing collaboration.
Statey is an agent-native database tool over MCP for storing shared, validated, structured records inside AI conversations.
It is suitable for information that needs fixed structure, reuse, and validation, such as project items, customer details, or knowledge records. The provided materials do not include more field examples; see the source repository for details.
The available information only says it works over MCP, but it does not provide installation steps, runtime requirements, or configuration details. See the source repository for exact setup instructions.
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