RawTree MCP Server
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TDQS
Scored across 48 tools
Tools are scoped to distinct resource+action pairs (run-query vs query-format, insert-json vs insert-from-url, pause-cluster vs resume-cluster), and each description carries explicit 'NOT for' guidance that resolves most overlap. The remaining risk is inventory-style adjacency: list-organizations/list-clusters/list-databases/list-tables/list-logs/list-saved-queries/list-apps all read alike, and verify-cluster-s3-access vs verify-database-s3-access differ only by scope, so a careless agent could pick the wrong one in a long 48-tool list.
Every name is kebab-case verb_noun with a predictable resource noun (list-tables, describe-table, create-workflow, update-organization-member, set-connector-status). Sub-resources are handled consistently with hyphenated qualifiers (insert-from-url, get-connector-metrics, verify-database-s3-access).
48 tools is well beyond a comfortable selection surface for a single MCP endpoint, spanning data plane (query/insert/tables/logs), control plane (clusters, databases, S3 verification), IAM (keys, org members), workflows, Kafka connectors, and apps. Each grouping is internally coherent, but the full set is too heavy for an agent to scan reliably and would be better split into scoped servers or trimmed.
Core lifecycles are covered end-to-end: tables (list/describe/create/update/delete + insert paths), clusters (list/sizes/create/get/update/pause/resume), workflows (full CRUD), organizations, API keys, and apps. Gaps exist around connectors — no delete-connector or remove-connector-destination, only add — and no database update/delete-by-metadata or pending-invitation management, which agents will hit in admin workflows.