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ToolFront

STDIO

Connect coding agents to databases with collaborative learning and privacy-first approach.

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Simple data retrieval for AI with unmatched control, precision, and speed.

Test Suite PyPI package Discord X


Documentation: docs.toolfront.ai


Installation

Install with pip or your favorite PyPI package manager.

pip install toolfront

Example 1: Text2SQL with ChatGPT

from toolfront import Database db = Database("postgres://user:pass@localhost:5432/mydb") context = "We're an e-commerce company. Sales data is in the `cust_orders` table." # Returns a string answer = db.ask("What's our best-selling product?", model="openai:gpt-4o", context=context) # >>> "Wireless Headphones Pro"

Note: For databases, install with PyPI extras, e.g.: pip install "toolfront[postgres]". See the documentation for the complete list of 10+ databases.

Example 2: API retrieval with Claude

from toolfront import API api = API("http://localhost:8000/openapi.json") # Returns a list of integers answer: list[int] = api.ask("Get the last 5 order IDs for user_id=42", model="anthropic:claude-3-5-sonnet") # >>> [1001, 998, 987, 976, 965]

Note: ToolFront supports any API with an OpenAPI (formerly Swagger) specification. Most common APIs like Slack, Discord, and GitHub have OpenAPI specs. See the documentation for more details.

Example 3: Document information extraction with Gemini

from toolfront import Document from pydantic import BaseModel, Field class CompanyReport(BaseModel): company_name: str = Field(..., description="Name of the company") revenue: int | float = Field(..., description="Annual revenue in USD") is_profitable: bool = Field(..., description="Whether the company is profitable") doc = Document("/path/annual_report.pdf") # Returns a structured Pydantic object answer: CompanyReport = doc.ask("Extract the key company information from this report", model="google:gemini-pro") # >>> CompanyReport(company_name="TechCorp Inc.", revenue=2500000, is_profitable=True)

Note: ToolFront supports OpenAI, Anthropic, Google, xAI, and 14+ AI model providers. See the documentation for the complete list.

Example 4: Snowflake MCP Server

{ "mcpServers": { "toolfront": { "command": "uvx", "args": [ "toolfront[snowflake]", "snowflake://user:pass@account/warehouse/database" ] } } }

Community & Contributing

License

This project is licensed under the terms of the MIT license.

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