Does this include integration with databases?

[BradKML]

Since AirFlow is often used along side a stack (or singular container), including databases, I wonder if the MCP can support working with SQL or MongoDB or some other database. That way if there are any issues, debugging would be less cumbersome

• SQL-centric databases
• MongoDB and Redis (classic NoSQL)
• ElasticSearch/OpenSearch
• maybe vector databases like Pinecone, Qdrant, or Weaviate
• graph databases like Neo4j
• Others like time series or wide column stores

MCP for MongoDB

• https://github.com/mongodb-js/mongodb-mcp-server
• https://github.com/kiliczsh/mcp-mongo-server
• https://github.com/furey/mongodb-lens

MCP for SQL

• https://github.com/bytebase/dbhub
• https://github.com/runekaagaard/mcp-alchemy

Universal database MCP

• https://github.com/Canner/wren-engine
• https://github.com/kruskal-labs/toolfront

"SQL on anything" MCP https://github.com/julien040/anyquery