"Information about dbt (Data Build Tool or other meanings)" matching MCP servers:

A MCP (Model Context Protocol) server for interacting with dbt.

Enables AI agents to query OpenRouter model information including prices, ELO rankings, context, and perform comparisons.

MCP server that provides tools to interact with dbt, including dbt Core, Cloud CLI, Semantic Layer, and Discovery API.

Audits dbt Core projects for migration blockers and generates actionable guidance for migrating to dbt Cloud, including auto-fixing deprecated syntax.

Enables AI assistants to audit dbt project health, profile warehouse data, detect schema drift, suggest tests, and generate documentation through natural language. It provides read-only analysis and non-destructive YAML updates for dbt projects.

Enables AI assistants to audit dbt project health, profile warehouse data, detect schema drift, and safely generate or update dbt documentation and tests through natural language.

Enables AI assistants to interact with DBT (Data Build Tool) projects, allowing them to query project metadata, inspect models and sources, view compiled SQL, and run DBT commands.

Enables an agent to run a build tool and receive clean structured compiler diagnostics with file, line, severity, and message, avoiding noisy log spam.

Enables agents to inspect dbt model semantics, retrieve contracts and lineage, and verify that edits do not change what models mean.

Enables interaction with dbt projects via the Model Context Protocol for data analysis and insights.

AI-driven MCP server that audits, profiles, detects schema drift, and auto-generates documentation for dbt projects, enabling natural language interaction with your dbt project's health.

Enables AI agents to inspect, query, test, and safely fix dbt projects and BigQuery warehouses under policy-enforced controls, with read-only direct queries and dbt-only allowlisted writes.

Enables AI assistants to audit, profile, and govern dbt projects through natural language, including coverage scoring, schema drift detection, test suggestions, and non-destructive YAML documentation updates.

Enables AI assistants to audit dbt project health, profile warehouse data, detect schema drift, suggest tests, and auto-generate non-destructive schema documentation through natural language.

Enables AI assistants to audit dbt project quality, profile warehouse data, detect schema drift, suggest tests, and generate non-destructive schema.yml documentation through natural language.

Enables AI assistants to audit dbt project health, profile warehouse data, detect schema drift, recommend tests, and safely generate or update schema.yml documentation through natural language. It provides project scoring, coverage rankings, and non-destructive YAML edits while preserving comments and existing configurations.

Enables AI assistants to audit dbt project health, profile warehouse data, detect schema drift, and suggest tests through natural language. It also auto-generates documentation and safely merges updates into schema.yml files while preserving existing comments and formatting.

Enables AI assistants to audit project health, profile data, detect schema drift, and auto-generate documentation for dbt projects through natural language. It also provides coverage scoring, test suggestions, and safe schema.yml updates via MCP.

Enables AI assistants to audit dbt projects for documentation, test coverage, and naming health, profile warehouse data, detect schema drift against the manifest, and non-destructively generate or update schema.yml documentation and tests through natural language.

A Model Context Protocol (MCP) server that wraps the dbt CLI tool, enabling AI coding agents to interact with dbt projects through standardized MCP tools. Developed by Mammoth Growth.

MCP Server for Next.js build & bundle analysis. Chunk size, shared chunk attribution, and code-split suggestions for MCP clients

A read-only MCP server that exposes dbt project artifacts and data quality result tables (BigQuery/Postgres) to LLM clients, enabling deep introspection, run-history analysis, source freshness, test coverage, and lineage walks.

A build accelerator for AI coding assistants that scaffolds complete projects from short prompts using Smart Context Mode to reduce token usage.

Semantic navigator for MCP tools that finds relevant tools by natural language intent, reducing token usage by 95%.

MCP (model context protocol) server for interacting with dbt Docs

Enables no-code creation, preview, deployment, and monetization of MCP servers via x402 micropayments, including a virtual file system, sandbox preview, and tool monetization.

Exposes the Grok Build CLI as MCP tools for Claude Code and other clients, enabling headless AI agents to perform tasks like code reviews, web research, and file operations with configurable permission levels.

An MCP server that gives coding agents hands and eyes on an Android device, providing 19 tools for building, testing, installing, UI inspection, input, logs, and toolchain diagnosis. It returns concise, structured results to make the build-debug loop efficient.

A Model Context Protocol server that provides a scratchpad tool for LLMs to organize thoughts, take notes, and plan approaches to complex problems.

MCP router that fronts your other MCP servers behind a few small generic tools, so their tool definitions stay out of the context window and are discovered on demand.