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melvenac

Open Brain Knowledge MCP Server

by melvenac

kb_store

Store facts, notes, or preferences permanently in a knowledge base. Use keys for retrieval and tags for categorization. Optionally scope to a project.

Instructions

Store a piece of knowledge in the brain. Use for facts, notes, preferences, or anything worth remembering permanently. By default, knowledge is stored globally (available across all projects). Set scope to 'project' and pass your working directory as project_dir to scope it to a specific project.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
keyNoShort label for easy retrieval (e.g. 'wifi-password', 'deploy-process')
tagsNoTags for categorization
scopeNo'global' (default) = available everywhere. 'project' = scoped to a specific project directory.global
sourceNoWhere this knowledge came from (e.g. 'manual', 'agent', 'import')manual
contentYesThe knowledge to store
project_dirNoProject directory to scope this knowledge to (only used when scope is 'project')
Behavior3/5

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

No annotations provided, so description carries full burden. Describes persistence and scope behavior, but omits overwrite semantics (e.g., what happens if key exists) and side effects.

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

Conciseness5/5

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

Two sentences: first summarizes purpose and usage, second details scoping. No wasted words. Front-loaded with most important information.

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

Completeness4/5

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

Covers purpose, scope, and parameter use cases. Lacks return value description (no output schema), but for a store operation this is a minor gap. Adequate given sibling context.

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

Parameters4/5

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

Schema coverage is 100% (all params have descriptions). Description adds context for key ('short label for easy retrieval'), tags, source, and scope usage, going beyond schema defaults.

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

Purpose5/5

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

Clearly states 'Store a piece of knowledge in the brain' and lists use cases (facts, notes, preferences). Distinguishes from siblings like kb_recall (retrieve) and kb_list (list).

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

Usage Guidelines4/5

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

Explicitly mentions 'use for facts, notes, preferences' and provides guidance on scoping (global vs project). Lacks explicit alternatives or when-not-to-use, but direction is clear.

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

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