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Explorer/MCP/farr1102work-bzcc/mempalace-memory
REMOTE

mempalace memory

farr1102work-bzcc/mempalace-memory

https://mempalace-mcp.vercel.app/ — Register or sign in here first to create your API key (mpk_...). mempalace memory is the hosted MCP layer from the mempalace (Memory Palace) project: per-user memory drawers (wing/room), semantic search on Cloudflare (D1 + Vectorize + Workers AI embeddings). MCP endpoint: https://glidepath.dpdns.org/mcp . Authenticate with Authorization: Bearer <key> or X-Mempalace-Api-Key (for Smithery Session Config / gateways). MIT license. In-server docs: MCP resources under docs://mempalace-memory/* (getting-started, authentication, tools-reference, data-model, troubleshooting).

3 tools available ↓
The Journeyman
A reasonable amount of history and nothing concerning in the scan.
Time indexed (5mo)
3toolsRemote/ HTTP5moindexed
100% uptime · 243ms avgChecked Aug 8, 2026
Quality Score
54/95
Established
Risk Score
0/100
Clean
▸How is this calculated?
Quality Breakdown
Tenure13.9/20
159 days indexed
Capability15.1/25
Tools: 3.1/13 (3 tools)
Description: 5/5 ✓
Endpoint: 7/7 ✓
Adoption0/25
Use count: 0/20 (0 uses)
Multi-registry: 0/5 (1 registry)
Reliability25/25
Currently live: 10/10 ✓
Uptime history: 15/15 100% (44/44 checks)
Security scan: 0 pts in v1.0; ready to weight when coverage improves
Incomplete Data Cap (60)
Usage data is not available for this server. Quality is capped until adoption can be measured.
Risk
0— Clean
No signals detected.
The scanner shows
3 tools. Nothing caught our attention.
First indexed Apr 10, 2026
Server Profile
⚙
Tools catalogued
3
3 tools available. Full list below.
☁
Hosting
Remote / HTTP
Runs on the internet. No access to your filesystem, SSH keys, or environment variables.
○
Registry presence
Not verified
Not yet verified by the Official MCP Registry.
●
Liveness
100%
Based on 48 checks. Average response: 243ms.
Publisher Verification
Not yet verified by the Official MCP Registry.
Endpoint
https://mempalace-memory--farr1102work-bzcc.run.tools
Tools (3)
mempalace_status
Summarize the current user's memory palace: total drawers, counts per wing, counts per room. Use when you need grounding before writes or searches, or when the user asks what is stored. Do not use for semantic lookup—use mempalace_search instead. Read-only. Returns JSON in MCP text: { total_drawers, wings: [{ wing, c }], rooms: [{ room, c }] }.
mempalace_add_drawer
Persist a new memory drawer: writes to the user's D1 row, then embeds and upserts to Vectorize for later semantic search. Use when the user wants to remember something long-term (facts, decisions, contacts, meeting notes, checkpoints). Do not use to retrieve data—use mempalace_search. Not idempotent: each call creates a new row. Response JSON: { success, memory_id, wing, room, vectorize: { ok, len?, error? } }; vectorize.ok may be false while the row still saved.
mempalace_search
Search the current user's memories by meaning (Vectorize embeddings), optionally scoped to wing and/or room. Use when answering questions that depend on prior stored context, or before writing to avoid duplicates. Read-only. If the index is still catching up after a recent write, mode may be like_fallback (SQL substring). Response JSON: { query, results: [{ id, text, wing, room, source_file, similarity }], filters: { wing, room }, mode: 'vectorize' | 'like_fallback' }.

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