Vinkius
App Catalog
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.

Supabase (PostgreSQL) MCP Server
01 MCP Server

Supabase (PostgreSQL) MCP Server

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

supabase.com

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
Connect your agent
MongoDB Atlas MCP Server
02 MCP Server

MongoDB Atlas MCP Server

Document storage and vector search for dynamic, nested state.

mongodb.com

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
Connect your agent
Redis MCP Server
03 MCP Server

Redis MCP Server

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

redis.io

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
Snowflake MCP Server
04 MCP Server

Snowflake MCP Server

Enterprise data warehouse querying. Petabytes of analytics at scale.

snowflake.com

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
Connect your agent
BigQuery MCP Server
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
Connect your agent

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.

Hosting, security, updates, and uptime -- all on us. You just connect and use.