SingleStore MCP Server
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Instructions
Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.
This server publishes no instructions, or was last inspected before Glama recorded them.
Capabilities
Server capabilities have not been inspected yet.
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| generate_er_diagramB | Generate a Mermaid ER diagram of the database schema |
| list_tablesB | List all tables in the database |
| query_tableC | Execute a query on a table |
| describe_tableC | Get detailed information about a table |
| run_read_queryB | Execute a read-only (SELECT) query on the database |
| create_tableC | Create a new table in the database with specified columns and constraints |
| generate_synthetic_dataC | Generate and insert synthetic data into an existing table |
| optimize_sqlB | Analyze a SQL query using PROFILE and provide optimization recommendations |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
TDQS
Scored across 8 tools
Most tools have distinct purposes, but query_table and run_read_query overlap significantly as both execute SELECT queries, which could cause confusion. The other tools target clear, separate operations like table management, schema visualization, and query optimization.
All tool names follow a consistent verb_noun pattern using snake_case, such as create_table, list_tables, and optimize_sql. This predictability makes it easy for agents to understand and navigate the tool set without confusion.
With 8 tools, this server is well-scoped for database operations, covering essential tasks like table management, query execution, and schema analysis. Each tool serves a clear purpose, and the count is neither too sparse nor overwhelming for the domain.
The tool set provides strong coverage for core database workflows, including CRUD-like operations (create, list, describe, query) and utilities like optimization and data generation. A minor gap is the lack of update or delete operations, which agents might need to work around, but the surface is largely complete for the stated purpose.