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ClickHouse Loom

ClickHouse Loom

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by ClickHouse
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Python
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Deploy Server
One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

TDQS

A4.1/5.0

Scored across 13 tools

Disambiguation3/5

The set has several overlapping write/mutate paths — memory_set vs memory_update vs memory_pin vs memory_apply vs memory_lock — that all touch stored facts, and delete vs blacklist_add vs apply(delete) all remove data. The WHAT/WHEN/WHEN NOT structure does a lot of work to separate them, but an agent must read carefully, and the descriptions refer to phantom names (memory.set, memory.update, memory.delete) that are not the actual tool names, adding a misselection hazard.

Naming Consistency4/5

All tools are snake_case under a uniform loom_ prefix, and the memory CRUD family (loom_memory_set/get/update/delete/history) is consistently verb-last. Minor deviations exist — loom_activate and loom_search drop the resource segment while loom_context_pack is noun-only — and the bodies reference tools by a different dotted naming scheme than the actual tool names.

Tool Count5/5

13 tools is well within a healthy range for a memory service covering reads, writes, bulk apply, locking, history, and session bootstrap. Each tool earns its place: no obvious duplicates that could simply be folded together.

Completeness4/5

Core lifecycle is strongly covered — create (set/pin), read (get/search/history), update, delete, bulk apply, locking, blacklist, plus a context pack and activation primer. Gaps (whole-namespace clear, erasure requests, related/evidence/digests) are handled only through the generic loom_op escape hatch, whose arguments are not documented in the tool surface.

Maintenance

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ResponsivenessNo recent community issues

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