structured.sh · Quick Start · Connect to Claude · MCP Tools · API Reference · Deploy
structured.sh · Quick Start · Connect to Claude · MCP Tools · API Reference · Deploy. Exposed over MCP by the structured mcp server, that capability becomes something an assistant can invoke while it works, not something you go and do afterwards.
Structured gives AI agents (and humans) persistent, queryable memory:
Everything the assistant can do here goes through one of these:
create_memory — "Create a memory for tracking daily sales with fields: date, revenue, units"list_memories — "What memories do I have?"describe_memory — "Show me the schema for daily_sales"write_memory — "Save today's sales: date=2026-04-09, revenue=1250.50, units=42"query_memory — "What's the total revenue this month?"store_document — "Remember this config for later"get_document — "Get the document abc-123"flush_memory — "Flush all pending data to disk"delete_memory — "Delete the test_data memory"Memories — The Memories tool exposed by this serverQuery — The Query tool exposed by this serverSettings — The Settings tool exposed by this serverBeing a remote server, there is no local install. You register the endpoint with your client, authorise it once, and the tools appear.
Among the knowledge and memory options, the useful question is rarely "what can it do" but "what does it cost you to run" — permissions, credentials, and how much of your context its toolset consumes. Structured's toolset — create_memory, list_memories, describe_memory and 10 more — is a fair guide to whether it matches your workflow. It is maintained by structured-sh; worth a glance at recent repository activity before you build anything load-bearing on it.
This entry was verified against Structured's own documentation before publication; SyncDev keeps the directory reviewed rather than auto-generated.
| Tool | What it does |
|---|---|
| create_memory | *"Create a memory for tracking daily sales with fields: date, revenue, units"* |
| list_memories | *"What memories do I have?"* |
| describe_memory | *"Show me the schema for daily_sales"* |
| write_memory | *"Save today's sales: date=2026-04-09, revenue=1250.50, units=42"* |
| query_memory | *"What's the total revenue this month?"* |
| store_document | *"Remember this config for later"* |
| get_document | *"Get the document abc-123"* |
| flush_memory | *"Flush all pending data to disk"* |
| delete_memory | *"Delete the test_data memory"* |
| Memories | The Memories tool exposed by this server. |
| Query | The Query tool exposed by this server. |
| Settings | The Settings tool exposed by this server. |
| Files | The Files tool exposed by this server. |
A knowledge graph your assistant keeps between sessions — entities, relations and observations that persist.
Kill hallucinated APIs — version-accurate, up-to-date library documentation injected straight into context.
Your workspace, on speaking terms with AI — search, read and write Notion pages and databases.
A structured scratchpad for hard problems — stepwise reasoning with revisions, branches and visible logic.
Symbol-level code navigation, refactoring and memory for coding agents — the IDE brain your assistant has been missing.
Chat with your second brain — search, read and write vault notes through the Local REST API.