| name | haivemind |
| description | Access hAIveMind memory system via MCP tools for search and storage |
| category | execution |
| runtimes | ["claude"] |
| pii_safe | true |
hAIveMind — MCP Integration
This skill provides access to hAIveMind's memory system via the mcporter MCP interface.
Available Tools
haivemind MCP Server
- Search:
mcporter call haivemind.search_memories query='[topic]' limit=10
- Store:
mcporter call haivemind.store_memory content='[context]' category='[category}'
Categories
global: General workspace context and permanent knowledge
operations: Active tasks, workflows, and status updates
rules: Important rules, policies, and preferences
infrastructure: System configuration and setup notes
Usage Pattern
Before starting work:
mcporter call haivemind.search_memories query='[topic] [channel-id]' limit=10
After completing work:
mcporter call haivemind.store_memory content='[summary]' category='operations'
Notes
- Channel-specific context: include
[channel-id] in search queries
- Always search before working to avoid duplicating previous efforts
- Store key decisions, context, and findings for future sessions