Mindkeg MCP

Unclaimed

by carloluisito

A persistent memory MCP server for AI coding agents — stores, searches, and retrieves atomic learnings so agents retain knowledge across sessions.

Install

$npx mindkeg-mcp init

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Tools (8)

complete_run

Record a completed work session

get_context

Retrieve relevant knowledge — session primer, task-scoped context, or semantic search (replaces getcontext, getrelevantcontext, searchlearnings)

list_scopes

List repositories and workspaces with counts (replaces listrepositories, listworkspaces)

query

List knowledge by type — decisions, findings, gotchas, or runs (replaces getdecisions, getopenfindings, getgotchas, getrunhistory)

relate_learnings

Create typed relationships between learnings

resolve

Close out a decision or finding (replaces supersededecision, resolvefinding)

store

Save knowledge — learning, decision, finding, or gotcha (replaces storelearning, storedecision, storefinding, storegotcha)

update

Modify/manage knowledge — update, deprecate, flagstale, delete, or merge (replaces updatelearning, deprecatelearning, flagstale, deletelearning, mergelearnings)