slotix/dbconvert-streams-public
by Various
DBConvert Streams: Database IDE, Federated SQL, Real-time CDC & AI assistants via MCP — explore, query, and replicate data across databases and files
MCP
slotix/dbconvert-streams-public
Added 8 Sept 2026
Overview
DBConvert Streams is a database IDE that supports federated SQL queries across databases and files. It provides real-time change data capture (CDC) for data replication, and exposes AI assistants through the Model Context Protocol (MCP) for exploring, querying, and replicating data.
Best for
Best for
Developers who need a lightweight, containerized tool for federated queries and real-time data replication across heterogeneous sources
Use cases
- Query and join data across multiple databases and files from one interface
- Set up real-time replication between database systems using CDC
- Use MCP-connected AI assistants to explore or query database schemas
How to use
Tested with
Claude Code, Cursor, Windsurf, VS Code
Notes
DBConvert Streams is a database IDE that supports federated SQL queries across databases and files. It provides real-time change data capture (CDC) for data replication, and exposes AI assistants through the Model Context Protocol (MCP) for exploring, querying, and replicating data.
24 stars on GitHub. Last updated 2026-09-05. Licensed MIT.
Use cases
- Query and join data across multiple databases and files from one interface
- Set up real-time replication between database systems using CDC
- Use MCP-connected AI assistants to explore or query database schemas
Pros
- Combines IDE, federated SQL, and CDC in one tool
- Supports AI assistant integration via MCP
- Open source with a Dockerfile for containerized setup
Cons
- Low community traction at 24 GitHub stars
- Limited documentation or maturity implied by early-stage project
- Language listed as Dockerfile, so core implementation may not be easily extensible by typical developers
Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.
Pros
- Combines IDE, federated SQL, and CDC in one tool
- Supports AI assistant integration via MCP
- Open source with a Dockerfile for containerized setup
Cons
- Low community traction at 24 GitHub stars
- Limited documentation or maturity implied by early-stage project
- Language listed as Dockerfile, so core implementation may not be easily extensible by typical developers
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