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Glama

ls-search

by io.github.CalBearKen
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Server Details

Disposable private vector search + semantic RAG for AI agents. x402 pay-per-call, no account.

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Status
Unhealthy
Uptime
0.0% over 37 days
Last Tested
Transport
Streamable HTTP
URL

TDQS

A4.3/5.0

Scored across 6 tools

Disambiguation5/5

Each tool targets a distinct action or resource: workspace creation/disposal, passage retrieval, usage info, batch ingestion, and semantic search. There is no overlap or ambiguity between them.

Naming Consistency5/5

All tools share the 'trace_' prefix and follow a clear verb_noun pattern (create_workspace, dispose_workspace, get_passage, get_usage, ingest_batch, search). The naming is perfectly consistent and predictable.

Tool Count5/5

With 6 tools, the set is well-scoped for the server's purpose of managing and using an ephemeral vector-search workspace. Each tool covers a necessary part of the lifecycle without redundancy.

Completeness5/5

The tool surface covers the full workflow: create workspace, ingest data, search, retrieve specific passages, check usage, and dispose. No obvious gaps exist for the intended ephemeral search use case.

Tool Schema Changelog

Recent tool additions, removals, and schema changes observed during successful MCP inspections.

  1. 6 tool updates
    • First observedtrace_create_workspace
    • First observedtrace_dispose_workspace
    • First observedtrace_get_passage
    • First observedtrace_get_usage
    • First observedtrace_ingest_batch
    • First observedtrace_search

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