A
licenseNot graded
qualityC
maintenancePay-per-use semantic memory for AI agents with cryptographic
attestation. Vector embeddings with SHA256 commitment, secp256k1 signature,
and Lightning invoice.
Apache 2.0
boltwork-mcp
by Squidboy30
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TDQS
A4/5.0
Scored across 18 tools
Disambiguation4/5
Most tools have distinct purposes, but some PDF-related tools (analyse_contract, extract_data, summarise_pdf) could cause confusion if the agent misinterprets the task. The trial tools are clearly separate as limited versions.
Naming Consistency5/5
All tools follow a consistent verb_noun pattern in snake_case (e.g., analyse_contract, compare_documents). The memory tools share a common prefix, and trial tools are prefixed with 'trial_'. No naming conflicts or style mixing.
Tool Count4/5
18 tools cover a broad range of services (PDF, image, code, translation, memory, workflow). While slightly above the typical 3-15 range, the tools are well-scoped and justified by the platform's breadth.
Completeness4/5
The tool surface covers core operations for the domain: analysis, extraction, comparison, translation, summarisation, memory, and code review. Missing potentially useful tools (e.g., image generation) but no critical gaps for the advertised functionality.
Maintenance
ActivityInactive
ResponsivenessNo issues