sqlmesh-mcp
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- AlicenseNot gradedqualityCmaintenanceEnables AI agents to inspect schemas, walk Delta table history, run read-only DuckDB queries, and check data-quality and job-run status safely.MIT
- AlicenseNot gradedqualityBmaintenanceEnables agents to inspect dbt model semantics, retrieve contracts and lineage, and verify that edits do not change what models mean.Apache 2.0

Bauplan MCP Serverofficial
AlicenseBqualityAmaintenanceEnables AI assistants to interact with Bauplan lakehouse operations, including querying tables, schema inspection, branch management, and pipeline execution.3315MIT- AlicenseNot gradedqualityBmaintenanceEnables agents to discover and configure model routing, delegate coding tasks with context files, scope restrictions, and verification, and resume existing sessions with delta instructions or review feedback.MIT
- FlicenseNot gradedqualityAmaintenanceEnables AI agents and developers to query traces, sessions, and exceptions for debugging and observability, alongside tools for prompts, datasets, annotation queues, scores, and metrics. Supports selective tool loading and a read-only mode for safer local access from any MCP client.-
- AlicenseAqualityBmaintenanceExposes tools that let AI coding agents browse a repo's schema snapshot of tables and columns and validate their SQL against it before running or writing it, so queries referencing invented or stale table and column names get caught and corrected up front. Provides list_tables, describe_table, search_columns, and check_sql over the same snapshot used by the CLI, hook, and CI check.41MIT
TDQS
Scored across 27 tools
Several tools have overlapping intent: plan vs start_plan and run vs start_run are synchronous/async variants of the same operation, while get_model_dependencies, model_impact, and lineage all cover dependency graphs, and plan/diff_environment/table_diff all compare state. The detailed descriptions do explicitly explain the distinctions, so an agent can disambiguate, but the sync/async pairs and parallel comparison tools invite misselection.
All names are snake_case, which is consistent, but verb convention is mixed: verb_noun (get_model, run_audit, apply_plan), reversed noun_verb (table_diff vs diff_environment), and bare nouns (lineage, model_impact, server_info, environment_health) coexist. It remains readable but does not follow a single predictable pattern.
27 tools is above the comfortable range and is inflated by dual synchronous/asynchronous variants (plan/start_plan, run/start_run plus job status/cancel) and conditional tools (register/approve_cleansing_plan only matter when approval is enabled). Still, the SQLMesh domain is genuinely broad (models, plans, runs, jobs, audits, tests, environments, cleansing), so most tools earn their place.
The surface covers the domain thoroughly: model inspection/lineage, plan preview+apply, scheduled runs, job lifecycle, audits/tests, environment diff/health, formatting, and a full cleansing lifecycle. Minor gaps exist (no job listing, no model create/edit since models live as files), but these are workable.