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20 Databricks Managed MCP alternatives

Databricks Managed MCP: Databricks-hosted MCP endpoints that expose Unity Catalog functions, Genie spaces, Vector Search indexes and Databricks SQL to agents, with UC permissions enforced. 20 MCP servers do similar work, most sharing SQL, Vector Search and Data Governance, ranked by how much they have in common with Databricks Managed MCP.

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  1. by The Apache Software Foundation

    Apache's official read-only MCP server for Doris — eight tool domains and 55 progressively disclosed children covering catalog, query, cluster, lineage and lakehouse.

    Also: Lakehouse, SQL

  2. by Transcend

    Transcend's privacy platform over MCP: data inventory, DSR automation, consent, preferences, assessments and workflows, each as its own OAuth-scoped server.

    Also: Data Governance

  3. by Meilisearch

    Official MCP server for Meilisearch — create and configure indexes, add documents, run hybrid and semantic searches, and manage API keys and tasks through conversation.

    Also: Vector Search

  4. by Typesense

    Typesense's official remote MCP server — search collections, index documents, and create, resize or clone the Typesense Cloud clusters behind them, over OAuth with per-agent permission presets.

    Also: Vector Search

  5. by Redis

    Redis's official MCP server — read and write every Redis data structure, including vector search and streams.

    Also: Vector Search

  6. by Turso

    Turso's hosted MCP server — manage Turso Cloud databases, branch them point-in-time and run SQL from a coding agent, authorised over OAuth with no API token to paste.

    Also: SQL

  7. by InfluxData

    InfluxData's official MCP server for InfluxDB 3 — schema discovery, bounded SQL and InfluxQL queries, line-protocol writes and token administration across Core, Enterprise and Cloud.

    Also: SQL

  8. by Metabase

    Metabase's built-in MCP server — search, query and visualise your BI data through the semantic layer, scoped to the connecting person's existing Metabase permissions.

    Also: SQL

  9. by Google

    Google's open-source MCP server for enterprise databases — one binary that fronts AlloyDB, BigQuery, Spanner, Postgres, MySQL, Oracle, MongoDB, Snowflake and more.

    Also: SQL

  10. by Bytebase

    A universal database MCP server — one integration for PostgreSQL, MySQL, SQL Server, SQLite, and MariaDB.

    Also: SQL

  11. by Haymon AI

    A single ~7 MB binary that gives your AI assistant schema discovery, SQL queries and EXPLAIN plans for MySQL, MariaDB, PostgreSQL and SQLite, with a read-only mode.

    Also: SQL

  12. by Keboola

    Opens a Keboola project to an agent: query storage tables, write SQL transformations, configure extractors and writers, trigger jobs and build flows.

    Also: SQL

  13. by Cockroach Labs

    Cockroach Labs' official MCP server exposes a CockroachDB cluster to agents as typed tools — schema inspection, cluster metadata, EXPLAIN and SELECT — with writes and DDL locked off unless you explicitly turn them on.

    Also: SQL

  14. by PlanetScale

    PlanetScale's official hosted MCP server — browse organizations, databases and branches, read schema, run guarded SQL, and pull Insights and schema recommendations.

    Also: SQL

  15. by Braintrust

    Query Braintrust evals and production logs in SQL from your editor — compare experiments against a baseline, debug a bad trace, and hand a teammate a permalink.

    Also: SQL

  16. by MotherDuck

    Run DuckDB analytics locally or in MotherDuck's cloud — query files and warehouses with the same SQL.

    Also: SQL

  17. by Model Context Protocol

    Query, modify, and analyse a local SQLite database file directly from an AI client.

    Also: SQL

  18. by Model Context Protocol

    Read-only PostgreSQL access with automatic schema inspection — the reference MCP server for Postgres.

    Also: SQL

  19. by ClickHouse

    ClickHouse's official MCP server — run analytical SQL, explore schemas, and query local files with chDB.

    Also: SQL

  20. by Supabase

    Manage your Supabase project from an agent — run SQL, inspect tables, manage branches, and generate types.

    Also: SQL