text2sql-mcp
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| OPENAI_API_KEY | No | OpenAI API key | |
| TEXT2SQL_MODEL | No | LangChain model id | anthropic:claude-sonnet-4-6 |
| ANTHROPIC_API_KEY | No | Anthropic API key | |
| TEXT2SQL_EXAMPLES | No | Path to a scenarios.md file | |
| TEXT2SQL_DATABASE_URL | Yes | SQLAlchemy URL for the database | |
| TEXT2SQL_INSTRUCTIONS | No | Business rules or hints |
Capabilities
Features and capabilities supported by this server
| Capability | Details |
|---|---|
| tools | {
"listChanged": false
} |
| prompts | {
"listChanged": false
} |
| resources | {
"subscribe": false,
"listChanged": false
} |
| experimental | {} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| queryA | Ask the database a natural-language question. The agent explores the schema, writes SQL, executes it, and self-corrects on errors before returning. Read-only — only SELECT-style statements. Args:
question: The natural-language question, e.g. "top 5 customers by revenue".
max_rows: Cap on rows returned in Returns:
dict with:
sql: the final verified SQL
data: list of row dicts (capped at max_rows)
error: error message if execution failed, else None
row_count: number of rows in |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
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