metrics-mcp
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- AlicenseBqualityAmaintenanceEnables agents to interact with a governed semantic layer for querying and authoring metrics, providing tools for discovery, planning, validation, and execution of analytics queries.16140 PyPIApache 2.0
- AlicenseNot gradedqualityCmaintenanceEnables agents to answer analytics questions with provable correctness by resolving metrics through the semantic layer, tracing lineage, traversing knowledge graphs, checking freshness, and searching glossary definitions, while enforcing access controls and logging every call.MIT
- FlicenseNot gradedqualityBmaintenanceExposes a governed semantic layer built on dbt Core and DuckDB, enabling AI agents to query predefined metric definitions for a P&C insurance dataset. Prevents metric hallucination by restricting agents to governed tools and read-only data access.-
- AlicenseAqualityAmaintenanceAgent-native semantic layer, letting AI agents query databases through specifying intent instead of writing SQL, then compiling structured queries into correct, dialect-aware SQL. Dynamic and expressive, supporting multi-stage queries, time-shifts, and complex join schemas.20364 PyPI221MIT
- FlicenseNot gradedqualityCmaintenanceEnables data teams to define and validate metrics through conversation, inspect trust scores and lineage, and export definitions to Looker, Tableau, and dbt.-
- AlicenseNot gradedqualityAmaintenanceEnables AI agents to query governed data warehouses through plain language, returning grounded answers with SQL, confidence grades, and signed receipts while enforcing access, testing, and audit controls.12Apache 2.0
TDQS
Scored across 4 tools
Each tool has a clearly distinct role: listing available metrics, retrieving full definitions with caveats, computing metric values, and verifying drafted answers. There is no overlap or ambiguity about which tool to call for a given step.
All tool names follow the same snake_case verb_noun pattern: list_metrics, get_metric, query_metric, verify_answer. The pattern is consistent and predictable, with only the expected singular/plural variation for the metric resource.
Four tools is well-scoped for a read-only metrics warehouse surface. Each tool covers a necessary step in the workflow and none feel redundant or missing.
The tool set covers the full analytical workflow: discover what metrics exist, understand their exact definitions and caveats, query them, and verify any final answer before it is delivered. There are no obvious dead ends or missing operations for the stated purpose.