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AI Stack

Database Platforms for AI Agents

PostgreSQL. MongoDB. Redis. Snowflake. BigQuery. The persistence layers that actually drive applications. Direct, unmediated access to your state—no abstractions, just raw data.

Curated by the Vinkius team -- 5 MCP servers reviewed, tested, and ready to connect. Create a free account and start in seconds -- no infrastructure or code needed.

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Supabase (PostgreSQL) MCP Server

01 MCP Server

Supabase (PostgreSQL) MCP Server

Raw Postgres access. No ORM magic, just schemas and queries.

Listen, Postgres is where the truth lives. This MCP Server gives your agents raw SQL execution capabilities against your Supabase clusters. They can map schemas, run complex joins, and mutate rows without dealing with custom endpoints. —No middleware required—your AI speaks directly to the relational engine, exactly how a DBA would.

Execute raw SQL queries & complex joins

Schema reading & table reflection

Perform robust row-level CRUD operations

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PlanetScale MCP Server

PlanetScale

Scalable, serverless MySQL for developers

CockroachDB Cloud MCP Server

CockroachDB Cloud

Distributed SQL database engineered for scale

Turso MCP Server

Turso

Edge database powered by libSQL

Neon MCP Server

Neon

Serverless Database built for Postgres

MongoDB Atlas MCP Server

02 MCP Server

MongoDB Atlas MCP Server

Document storage and vector search for dynamic, nested state.

When your schema is fluid, MongoDB is the answer. This MCP Server drops your agents into Atlas so they can run aggregation pipelines on deeply nested JSON. They don't just query documents; they use native Vector Search to retrieve semantic context. The fact is, if your agent needs agile data structures, this is the shortest path to get them.

Flexible JSON document operations

Run powerful aggregation pipelines

Native Atlas Vector search execution

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Amazon Redshift MCP Server

Amazon Redshift

Fast, fully managed cloud data warehouse

Databricks MCP Server

Databricks

Unified data analytics & AI platform

SingleStore MCP Server

SingleStore

Real-time distributed SQL database

Metaplane MCP Server

Metaplane

Data observability for your warehouse

Redis MCP Server

03 MCP Server

Redis MCP Server

Sub-millisecond state. Cache, queues, and fast ephemeral storage.

Latency kills AI loops. This MCP Server connects your agents to Redis so they can read and write state in less than a millisecond. We're talking hashes, sets, and real-time queues. Frankly, if your agent is hitting disk for session states or feature flags, you're doing it wrong. Keep it in memory.

Sub-millisecond key-value retrieval

Manage complex data structures (sets, hashes)

Real-time cache manipulation

Connect your agent

DataStax Astra DB MCP Server

DataStax Astra DB

Serverless vector-capable database on Cassandra

Couchbase MCP Server

Couchbase

Enterprise-class NoSQL distributed DB

Oracle Vector DB

Oracle's integrated vector capabilities

Nile MCP Server

Nile

Serverless Postgres for multi-tenant apps

Snowflake MCP Server

04 MCP Server

Snowflake MCP Server

Enterprise data warehouse querying. Petabytes of analytics at scale.

Your BI data is useless if agents can't touch it. This MCP Server opens up Snowflake's compute engine to your AI. They can run heavy analytical queries across global schemas and pull aggregated financial models without exporting CSVs. —You know the drill—keep the compute where the storage lives, and let the agent retrieve exactly the insights it needs.

High-scale data warehouse querying

Complex analytics and aggregations

Access to shared global data schemas

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Metabase MCP Server

Metabase

Fast, open source business intelligence

Mode Analytics MCP Server

Mode Analytics

Collaborative data science platform

Apache Superset MCP Server

Apache Superset

Modern data exploration and visualization

Sigma Computing MCP Server

Sigma Computing

Cloud BI built for business users

05 MCP Server

BigQuery MCP Server

Massive analytical SQL execution without infrastructure overhead.

cloud.google.com/bigquery

When you have terabytes of raw logs, BigQuery is the only sane option. This MCP Server gives your agents read/write access to Google's serverless warehouse. They can execute multi-table analytical SQL to answer massive operational questions. Honestly, building custom BI dashboards is legacy; just let the agent query the raw data layer directly.

Multi-terabyte analytical SQL queries

Retrieval of aggregate BI metrics

Export and inspect table structures

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Directus MCP Server

Directus

Instant REST/GraphQL API for SQL databases

Strapi MCP Server

Strapi

Open-source headless CMS and API

Airtable MCP Server

Airtable

The low-code relational database UI

Retool MCP Server

Retool

Build internal tools safely connected to DBs

SQL. NoSQL. Data Warehouses. Vector DBs. Ready for AI Agents.

Free to start. Connect these servers to your AI agents in seconds -- no infrastructure to set up, no code to write.

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