Supabase MCP
Connect an AI client to Supabase projects for table management, configuration, and data queries.
Choose a live database connection, or add the vendor’s development guidance to your coding assistant. This collection brings established directory guides together with the new MongoDB, Redis, PlanetScale, Convex, Upstash and Turso skills.
25 guides · 15 MCP / 10 Skills
A curated starting point across database products and data platforms. Each card links to a directory guide and the author’s source. The selection includes earlier guides and this week’s additions; it is not an exhaustive category listing.
| Your task | Start here | How to choose |
|---|---|---|
| Inspect a schema or query a connected database | Start with an MCP server | Choose the server for the database you already use, then read its authentication and permission requirements. |
| Write models, queries, migrations, or application code | Start with a Skill | Choose the vendor’s workflow guidance for your coding agent. Several plugins also bundle MCP access; check the installation guide. |
| Plan an analytics pipeline or governed metrics | Browse the data-platform skills | The dbt, Databricks and Snowflake entries cover workflows around the database as well as SQL itself. |
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Find the connection that matches your existing service or database platform.
Connect an AI client to Supabase projects for table management, configuration, and data queries.
Interact with Neon Postgres databases through the vendor’s remote MCP server.
Explore Capella or self-managed Couchbase clusters, inspect document schemas, and run SQL++ queries with Couchbase’s own MCP server.
Connect directly to Xata’s hosted MCP endpoint from an MCP client without running a local server.
Manage Turso organizations, databases, groups, and SQL through a hosted MCP service with browser sign-in.
Connect an assistant to Aiven projects, PostgreSQL, Kafka, and service integrations using the vendor-hosted MCP endpoint.
Explore analytical engines and time-series databases through their own MCP projects.
Run analytical SQL queries and inspect ClickHouse through the publisher’s MCP server.
Connect AI clients to Teradata for data exploration, profiling, semantic layers, analytics, and database administration.
Explore StarRocks databases, run SQL, inspect query performance, and turn analytical query results into charts.
Expose read-only Apache Doris capabilities through a server with domain discovery, explicit authorization, and bounded query results.
Analyze metrics, logs and traces in GreptimeDB with SQL, PromQL-compatible TQL, and time-window aggregation tools.
Query Apache IoTDB time-series data using Tree Model or Table Model SQL and inspect the permission requirements for database actions.
Choose the data model and retrieval workflow that fits your application.
Connect MCP clients to MongoDB deployments and Atlas through MongoDB’s own server.
Use Redis’s MCP server to work with Redis data and database operations.
Connect an MCP client to Milvus for vector search, collection inspection, and vector-database operations.
Add product-specific guidance for schemas, queries, application integration, and database operations.
Use MongoDB’s official skills for query writing, schema design, query optimization, Atlas Search, and Vector Search.
Apply Redis’s own guidance to data structures, connection handling, search, semantic caching, clustering, security, and observability.
Prisma’s skills guide ORM setup, client queries, migrations, driver adapters, upgrades, and Compute deployment.
Review PlanetScale database configuration and query behavior, produce evidence-backed recommendations, and prepare reviewable schema changes.
Use Convex’s own workflows to start projects, configure authentication, build reusable components, plan migrations, and investigate performance.
Use Upstash’s SDK instruction packs for Redis, QStash, Workflow, Vector, Search, rate limiting, and storage integrations.
Develop with Turso’s embedded database and cloud platform using its own guidance for vector search, full-text search, sync, transactions, and SDKs.
Go from individual queries to models, jobs, pipelines, and governed platform workflows.
Bring dbt-authored workflows for analytics engineering, testing, semantic models, dbt Mesh, platform operations, and migration into your coding agent.
Build Databricks apps, jobs, pipelines, Lakebase integrations, model-serving workflows, and automation bundles with engineering-owned agent skills.
Connect your coding agent to Snowflake’s Cortex Code workflows for SQL, data governance, dynamic tables, machine learning, and warehouse operations.
Cards marked Batch 2026-10-16 are from the third directory edition. Their actual source-check and addition date is 2026-10-15. Other cards come from earlier batches or established directory guides.
Use the entry’s installation guide to check the chosen route. A skills-only installer adds instructions; some vendor plugins combine skills with an MCP connection and separate authentication.
No. Each card shows when its description source was checked. The linked guide keeps its own verification date. For established entries, use the author source for current setup instructions.
Explore the fourth batch: 29 official cloud, payment, security, and monitoring additions →
See all 25 additions in the third batch → · Full directory →