About Mindkeg MCP
Mindkeg MCP is an MCP server in the RAG category: a persistent memory MCP server for AI coding agents — stores, searches, and retrieves atomic learnings so agents retain knowledge across sessions.
Install
git clone https://github.com/carloluisito/mindkeg-mcpThis server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.
Tools (8)
complete_runRecord a completed work session
Parameters not published.
get_contextRetrieve relevant knowledge — session primer, task-scoped context, or semantic search (replaces `get_context`, `get_relevant_context`, `search_learnings`)
Parameters not published.
list_scopesList repositories and workspaces with counts (replaces `list_repositories`, `list_workspaces`)
Parameters not published.
queryList knowledge by type — decisions, findings, gotchas, or runs (replaces `get_decisions`, `get_open_findings`, `get_gotchas`, `get_run_history`)
Parameters not published.
relate_learningsCreate typed relationships between learnings
Parameters not published.
resolveClose out a decision or finding (replaces `supersede_decision`, `resolve_finding`)
Parameters not published.
storeSave knowledge — learning, decision, finding, or gotcha (replaces `store_learning`, `store_decision`, `store_finding`, `store_gotcha`)
Parameters not published.
updateModify/manage knowledge — update, deprecate, flag_stale, delete, or merge (replaces `update_learning`, `deprecate_learning`, `flag_stale`, `delete_learning`, `merge_learnings`)
Parameters not published.
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