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Databases

Databases MCP Servers

Browse 103 Databases MCP servers on the Vinkius App Catalog. Enterprise-grade connectors, operational in seconds.

Supabase Alternative

Supabase Alternative

14 tools

Manage Supabase projects, databases and secrets via API. Create projects, configure Postgres, manage branches and secrets from any AI agent.

Airtable

Airtable

10 tools

Connect your Airtable bases to your AI agent. Query records, edit spreadsheets, and build automated workflows naturally via chat.

Google BigQuery MCP Server

Google BigQuery MCP Server

7 tools

Empower your AI agent to query massive datasets via BigQuery. Execute Standard SQL, track active jobs, and inspect table schemas natively.

Snowflake

Snowflake

7 tools

Bring your absolute data cloud into your AI editor. Execute queries, list warehouses, and map complex schemas natively.

Snowflake MCP Server

Snowflake MCP Server

11 tools

Execute SQL queries, manage databases, and analyze data on Snowflake with AI agents.

Azure AI Search

Azure AI Search

6 tools

Execute RAG queries against Azure AI Search natively. Search vectors, full-text documents, and audit cloud indexes directly from your AI agent.

Azure Cognitive Search MCP

Azure Cognitive Search MCP

7 tools

Empower your AI with enterprise retrieval. Run full-text search, semantic queries, and inspect cognitive skillsets on your Azure indexes.

ClickHouse (Vector Search) MCP Server

ClickHouse (Vector Search) MCP Server

7 tools

Manage vector embeddings and SQL via ClickHouse. List databases, execute SQL, and perform high-speed vector searches directly from any AI agent.

Elasticsearch Vector

Elasticsearch Vector

6 tools

Empower vector search via Elasticsearch. Perform dense vector kNN searches, handle index mappings, and index embedding documents directly from any AI agent.

MongoDB Atlas Vector Search MCP Server

MongoDB Atlas Vector Search MCP Server

6 tools

Manage vector storage via MongoDB Atlas. Perform similarity searches, query MQL documents, and audit collections.

pgvector (Vector Database) MCP Server

pgvector (Vector Database) MCP Server

6 tools

Run vector similarity searches, manage embedding tables, and build AI-powered retrieval pipelines. All directly inside your existing PostgreSQL database.

Pinecone MCP

Pinecone MCP

7 tools

Equip your AI agent to manage your Pinecone vector databases. Query embeddings, fetch metrics, manage collections, and run stats natively via chat.

Upstash Redis MCP Integration

Upstash Redis MCP Integration

7 tools

Equip your AI to directly query, manage, and manipulate key-value data structures inside your serverless Upstash Redis databases.

Supabase MCP

Supabase MCP

13 tools

Connect your AI to Supabase. Execute database queries, manage users, and trigger PostgreSQL functions directly from your terminal.

Neon MCP Server

Neon MCP Server

17 tools

Manage serverless PostgreSQL databases via Neon. Provision projects, branches, endpoints and roles from any AI agent.

Amazon DynamoDB Table MCP

Amazon DynamoDB Table MCP

5 tools

This MCP does exactly one thing: it manages items in a single Amazon DynamoDB Table. That's its only function, and nothing else. Incredible for giving your AI a secure NoSQL database.

Azure Cosmos DB Container

Azure Cosmos DB Container

4 tools

This MCP does exactly one thing: it manages documents in a single Azure Cosmos DB Container. That's its only function, and nothing else. Incredible for giving your AI a secure NoSQL database.

Chroma (Vector DB) MCP

Chroma (Vector DB) MCP

7 tools

Manage vector embeddings via Chroma. List collections, query embeddings, and audit document counts directly from any AI agent.

CockroachDB Cloud MCP Integration

CockroachDB Cloud MCP Integration

8 tools

Manage distributed SQL clusters via CockroachDB Cloud. Track clusters, monitor nodes, and audit network allowlists directly from any AI agent.

Confluent MCP

Confluent MCP

7 tools

Enable your AI agent to manage Kafka clusters, topics, and environments via the Confluent Cloud API.

Couchbase (Vector & NoSQL)

Couchbase (Vector & NoSQL)

7 tools

Manage vector search and NoSQL via Couchbase. Execute N1QL queries, perform KNN vector searches, and audit documents directly from any AI agent.

LanceDB (Serverless Vector DB)

LanceDB (Serverless Vector DB)

6 tools

Manage vectorized data via LanceDB. Perform similarity searches, create tables, and manage multi-modal embeddings.

PlanetScale MCP

PlanetScale MCP

10 tools

Provision, branch, and manage serverless MySQL databases dynamically via AI.

Redis Vector

Redis Vector

6 tools

Equip your AI to autonomously manage embeddings, run KNN similarity searches, and administrate vector indexes natively inside your Redis stack.

Supabase Vector MCP Integration

Supabase Vector MCP Integration

7 tools

Connect your AI to Supabase Vector. Execute pgvector semantic searches, manage embeddings, and run relational database queries directly from your terminal.

Alchemy MCP

Alchemy MCP

6 tools

Manage blockchain data. Audit wallets, NFTs, and transactions via AI.

Appwrite MCP

Appwrite MCP

9 tools

Open-source backend-as-a-service. Manage databases, storage, and users via AI.

Upstash MCP Server

Upstash MCP Server

23 tools

Manage serverless Redis via Upstash REST API. Execute commands, manage data structures and monitor your database from any AI agent.

Convex MCP

Convex MCP

4 tools

Interact with your Convex backend directly. Execute queries, mutations, and actions from any AI agent.

Google Firestore Collection

Google Firestore Collection

3 tools

This MCP does exactly one thing: it manages documents in a single Google Firestore Collection. That's its only function, and nothing else. Incredible for giving your AI a secure NoSQL database.

Meilisearch MCP

Meilisearch MCP

44 tools

Manage your Meilisearch instance. Handle indexes, documents, and search configurations directly from your AI agent.

Object Hash Engine MCP Server

Object Hash Engine MCP Server

1 tools

Generate deterministic SHA-256 fingerprints of any JSON object. Keys are automatically sorted so {b:2,a:1} and {a:1,b:2} always produce the exact same hash. Essential for deduplication.

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