Skip to main content
Glama
SherryLi-vc

Strata Memory MCP Server

by SherryLi-vc

memorize

Record a conversation or fact with emotional and contextual metadata into persistent memory using Markdown drawers and vector indexes.

Instructions

Record a conversation/fact into memory with psych-validated metadata (emotional_salience, context_tags, is_negative_schema). Writes Markdown drawer + vector index.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
user_idYesUser/wing identifier.
contentYesRaw text content to memorize.
categoryNoMemory category (affects decay rate).event
importanceNoBase importance 0.0-1.0.
roomNoRoom within wing.general
context_tagsNoTags for state-dependent retrieval.
Behavior3/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

The description reveals that the tool writes to both a Markdown drawer and a vector index, indicating persistence and indexing. However, it does not disclose potential side effects, overwrite behavior, or authorization requirements.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single sentence that efficiently communicates the primary action and stored metadata. It is dense but not excessively long.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With no output schema, the description does not explain return values or success indicators. Given the tool's complexity (6 parameters), it omits crucial details like error handling and post-conditions.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100%, so baseline is 3. The description adds minimal value beyond the schema, mentioning metadata fields that are not parameters and not explaining existing parameters in more depth.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool records a conversation or fact into memory, specifying metadata fields. However, it mentions 'emotional_salience' and 'is_negative_schema' which are not present in the input schema, causing minor confusion.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance on when to use this tool versus alternatives like search or apply_memory_config. Lacks context for appropriate usage scenarios.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/SherryLi-vc/strata-memory'

If you have feedback or need assistance with the MCP directory API, please join our Discord server