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10 MCP servers · ranked by best match
For teams using DigitalOcean, DigitalOcean Databases MCP Server exposes managed database clusters and configuration context on DigitalOcean to MCP-capable engineering tools. In an engineering organization, this can let platform and application agents inspect database infrastructure alongside application deployments.
VIEWS 30D 0PROVIDER DigitalOceanGoogle Cloud SQL MCP Server turns cloud SQL resources and database management context through Google remote MCP into a structured tool surface for AI assistants and agents. For a CTO or Head of Engineering, the practical value is to let platform agents inspect managed relational databases alongside application infrastructure.
VIEWS 30D 0PROVIDER Google CloudFor teams using AWS, Amazon DynamoDB MCP Server exposes dynamoDB tables and database-related context for AI clients to MCP-capable engineering tools. In an engineering organization, this can let application engineers inspect DynamoDB-backed systems while coding and debugging.
VIEWS 30D 0PROVIDER AWSUse Google Firestore MCP Server to connect engineering agents with firestore database resources and operations via Google-hosted MCP. The key operational benefit is to enable application agents to reason about Firestore-backed systems using live platform context.
VIEWS 30D 0PROVIDER Google CloudFor teams using MongoDB, MongoDB MCP Server exposes mongoDB data operations plus Atlas and deployment administration capabilities to MCP-capable engineering tools. In an engineering organization, this can let agents query application data and reason about database configuration from the same development workflow.
VIEWS 30D 0PROVIDER MongoDBNeon MCP Server turns neon projects, Postgres branches and SQL/database management operations into a structured tool surface for AI assistants and agents. For a CTO or Head of Engineering, the practical value is to make branchable Postgres infrastructure directly accessible to agentic development workflows.
VIEWS 30D 0PROVIDER NeonSupabase MCP Server is a first-party MCP surface for supabase projects, Postgres data, migrations, Edge Functions and related backend workflows. The engineering-leadership use case is straightforward: give full-stack engineering agents controlled access to a live backend platform during development.
VIEWS 30D 0PROVIDER SupabaseRedis MCP Server gives approved AI clients access to redis reads, writes, queries and selected server-management operations. It is most valuable where teams want to give agents direct access to caching, session, queue and vector/search data structures used by applications.
VIEWS 30D 0PROVIDER RedisUse Pinecone MCP Server to connect engineering agents with pinecone documentation, index management, upserts and vector queries. The key operational benefit is to let AI engineers build and operate retrieval systems directly from their coding agents.
VIEWS 30D 0PROVIDER PineconeQdrant MCP Server gives approved AI clients access to qdrant vector-memory workflows for storing and retrieving semantically relevant context. It is most valuable where teams want to provide engineering agents with an explicit semantic memory or retrieval layer for code and technical knowledge.
VIEWS 30D 0PROVIDER Qdrant