Apache 2.0
70,569 servers. Updated
Search Relevance ↓
Recent Usage ↓
Date Added ↓
Date Updated ↓
Weekly Downloads ↓
GitHub Stars ↓
Recent GitHub Stars ↓
Matching MCP tools:
Matching MCP Connectors:
ai.teentherapy
com.dbtrail
io.github.pipeworx-io
io.github.edinetdb
"dbt" matching MCP servers:
- Alicense-qualityDmaintenanceMCP server that provides tools to interact with dbt, including dbt Core, Cloud CLI, Semantic Layer, and Discovery API.Apache 2.0
- Flicense-qualityBmaintenanceEnables AI clients to automatically investigate dbt test failures, trace root cause through BigQuery lineage, and generate plain-English incident reports.1
- MIT
- Alicense-qualityCmaintenanceEnables interaction with dbt projects via the Model Context Protocol for data analysis and insights.3MIT
- Flicense-qualityDmaintenanceA minimal, extensible MCP server to run dbt models via CLI, HTTP API, or AI interfaces like Claude, with Slack notifications for task completions.2
- AlicenseAqualityCmaintenanceEnables 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.1415MIT
- AlicenseBqualityAmaintenanceA 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.2733MIT
- Alicense-qualityDmaintenanceA Model Context Protocol server for managing and executing dbt Cloud jobs via Claude, with search, run history, and job triggering capabilities, including safety confirmations.MIT
- Alicense-qualityDmaintenanceEnables the analysis of DBT manifests with automatic schema version detection and lineage tracking, allowing users to query model dependencies, access compiled code, and get detailed model information.1MIT
- Alicense-qualityDmaintenanceA server that enables querying the dbt Semantic Layer through natural language conversations with Claude Desktop and other AI assistants, allowing users to discover metrics, create queries, analyze data, and visualize results.11MIT
- AlicenseAqualityAmaintenanceRead-only-by-default MCP server for Datanika, an open-source dlt + dbt-core data pipeline platform: browse connections, introspect and preview source tables, compile and run dbt transformations, and monitor pipeline runs. 25 tools (17 read-only, plus 8 write tools gated behind --allow-write); source lives in the datanika-mcp/ subdirectory of the repo.25AGPL 3.0
- FlicenseAqualityCmaintenanceEnables agents to interact with MySQL databases securely, supporting multi-database read-only queries, protected DML writes, and streaming exports to Sandbox Datasets.5
- AlicenseCqualityCmaintenanceEnables large language models to retrieve up-to-date and correct information about dlt pipelines, datasets, and schemas, improving AI-assisted development.810Apache 2.0
- Alicense-qualityCmaintenanceEnables AI agents to query live schema, lineage, and query-context across data warehouses, dbt projects, orchestration systems, and BI tools via MCP tools.Apache 2.0
- Alicense-qualityDmaintenanceA production-ready MCP server that provides comprehensive dbt project quality assessment for any GitHub repository, enabling AI agents to analyze dbt models, check metadata coverage, and map data lineage.9MIT
- Alicense-qualityBmaintenanceA database operation server based on the MCP protocol, providing database connection, querying, schema exploration, data analysis, and SQL generation tools.MIT
- Alicense-qualityCmaintenanceEnables language models to run data-quality checks and profiling on local files, using dbt-style assertions like not_null, unique, relationships, and accepted_values.MIT
- Alicense-qualityCmaintenanceExposes local DuckDB pizza sales data as MCP tools for querying store-level and total sales metrics via natural language, enabling local LLMs to perform real-time analytical queries.MIT
- Flicense-qualityDmaintenanceProvides specialized tools for data engineering tasks like SQL formatting, dbt model generation, and Snowflake table creation. It enables users to analyze CSV data, validate pipeline configurations, and summarize ETL lineage through natural language.