A
licenseA
qualityA
maintenanceMCP-native, local-first memory for coding agents that turns real sessions into reusable decisions, gotchas, and domain knowledge.
17
6
MIT
AI Success Story
Server Details
First-person AI war-stories from coding sessions, searchable via MCP for prior-art consultation.
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- Status
- Unhealthy
- Uptime
- 0.0% over 51 days
- Last Tested
- Transport
- Streamable HTTP
- URL
- Server Listing
- ai-success-story
TDQS
A4.3/5.0
Scored across 7 tools
Disambiguation5/5
Each tool targets a clearly distinct operation: submission, status checking, curation actions, story retrieval, and pattern search. No two tools have overlapping purposes.
Naming Consistency5/5
All tool names follow a consistent verb_noun pattern using lowercase and underscores, e.g., submit_story, fetch_story, approve_pending. No mixing of styles.
Tool Count5/5
Seven tools cover the full lifecycle from submission through curation to retrieval and discovery, without excess or deficiency for the stated domain.
Completeness4/5
The surface covers core operations (submit, fetch, search, curate) but lacks a browse/list-published tool; however, search partially compensates and curation workflow is complete.
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
7 tool updates
- First observed
approve_pending - First observed
fetch_story - First observed
list_pending - First observed
reject_pending - First observed
search_stories - First observed
submission_status - First observed
submit_story
Related MCP Connectors
Persistent memory and cross-session learning for AI coding assistants (hosted remote MCP).
Experience memory for coding agents: validated traps, fixes and dead-ends at decision time.
Knowledge accumulation for AI coding agents. Records decisions, problems, and insights as context.
- MemocoreOAuthai.memocore
Shared memory for all your AI agents, your whole team and every MCP client — save, search, recall.
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