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MCP VectorSQL
Supports UIby originhubai
Convert natural language questions into high-quality SQL queries for vector databases like MyScale.
0 stars
Works in:claude
Exposes:Tools
What it does
Bridges the gap between natural language and vector databases. It transforms user questions into structured Vector SQL, allowing AI agents to perform complex similarity searches and retrieve relevant data from large-scale vector datasets without requiring manual SQL authoring.
Tools
generate_vector_sql: Converts a natural language prompt into a valid Vector SQL query.execute_vector_query: Executes the generated SQL against the connected MyScale database and returns results.list_db_schemas: Retrieves table names and schemas to provide context for SQL generation.
Installation
Add the following to your claude_desktop_config.json:
{
"mcpServers": {
"mcp-sqlvectordb": {
"command": "uv",
"args": ["run", "python", "-m", "mcp_server.main"]
}
}
}
Note: Requires a configured .env file with MYSCALE_HOST and MYSCALE_USER.
Supported hosts
Confirmed support for Dify and Claude Desktop.
Quick install
uv run python -m mcp_server.mainInformation
- Pricing
- free
- Published
- 6/9/2026
- stars
- 0
Categories
Choose your AI client and follow the steps below.
Claude Desktop
{
"mcpServers": {
"mcp-sqlvectordb": {
"command": "uv",
"args": ["run", "python", "-m", "mcp_server.main"]
}
}
}





