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ToolFront MCP Server

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<p align="center"> <a href="https://github.com/statespace-ai/toolfront"> <img src="https://raw.githubusercontent.com/statespace-ai/toolfront/main/docs/assets/images/logo.png" width="150" alt="ToolFront Logo"> </a> </p> <div align="center"> # ToolFront *Data environments for AI agents* [![Test Suite](https://github.com/statespace-ai/toolfront/actions/workflows/test.yml/badge.svg)](https://github.com/statespace-ai/toolfront/actions/workflows/test.yml) [![PyPI package](https://img.shields.io/pypi/v/toolfront?color=%2334D058&label=pypi%20package)](https://pypi.org/project/toolfront/) [![Discord](https://img.shields.io/discord/1323415085011701870?label=Discord&logo=discord&logoColor=white&style=flat-square)](https://discord.gg/rRyM7zkZTf) [![X](https://img.shields.io/badge/ToolFront-black?style=flat-square&logo=x&logoColor=white)](https://x.com/statespace_ai) </div> --- **Documentation: [docs.toolfront.ai](http://docs.toolfront.ai/)** **Source code: [https://github.com/statespace-ai/toolfront](https://github.com/statespace-ai/toolfront)** --- ToolFront helps you build and deploy environments for AI agents. Think of environments as interactive directories that agents can explore and take actions in. ```bash environment/ ├── index.md ├── pages/ │ ├── text2sql.md │ ├── document.md │ └── api.md ├── tools/ │ └─ extract.py └── data/ ├── invoices/ └── logs/ ``` Agents can run commands listed in markdown headers. As they browse files, they will discover these tools and learn how to use them with the `--help` flag. **Landing Page** ```markdown --- tools: - [date, +%Y-%m-%d] --- # Landing Page Add instructions and tools to markdown pages. - Agents can only run commands in headers - Links to [pages](./pages) help with navigation ``` <details> <summary><b>Text-to-SQL</b></summary> ```markdown --- tools: - [toolfront, database, $POSTGRES_URL] --- # Text-to-SQL Build text-to-SQL workflows with the `toolfront database` CLI. - Agents may run `list-tables`, `inspect-table`, and `query` subcommands - All queries are restricted to read-only operations ``` </details> <details> <summary><b>Document RAG</b></summary> ```markdown --- tools: - [python, tools/extract.py] --- # Document RAG Link to [directories](./data) where documents are stored. - Agents use built-in tools like `read`, `glob`, and `grep` to search files - Custom tools can be added for data extraction and processing ``` </details> <details> <summary><b>API Integration</b></summary> ```markdown --- tools: - [curl, -X, GET, "https://api.products.com/v1/pricing"] --- # API Integration Define API endpoints as executable tools using `curl` commands. - Agents can call external APIs to fetch live data - Include environment `$VARIABLES` for authentication ``` </details> You can launch browsing sessions with ToolFront's Python SDK, or build your own browsing agent with the MCP. Browsing is always powered by your own models. **SDK** ```python from toolfront import Browser browser = Browser(model="openai:gpt-5") url = "file:///path/to/environment" answer = browser.ask("What's our average ticket price?", url=url) print(answer) ``` <details> <summary><b>MCP</b></summary> ```json { "mcpServers": { "toolfront": { "command": "uvx", "args": ["toolfront", "mcp", "file:///path/to/toolsite"] } } } ``` </details> ToolFront comes with six core tools your agents can use to interact with environments: - **`run_command`** - Execute commands defined in markdown headers - **`read`** - Read the content of a specific file - **`tree`** - View directory structure - **`glob`** - List files matching a glob pattern - **`grep`** - Search files using regex patterns - **`search`** - Find relevant documents using BM25 full-text search* *`search` requires indexing environment files. ## Installation To get started, install `toolfront` using your favorite PyPI package manager. ```bash pip install toolfront ``` ## Deploy with ToolFront Cloud Instantly deploy your environments with **ToolFront Cloud**. ```bash toolfront deploy ./path/to/environment --api-key "my-api-key" ``` Would give you a secure environment URL your agents can browse. ```python answer = browser.ask(..., url="https://cloud.toolfront.ai/user/environment") ``` Environments deployed with **ToolFront Cloud** are automatically indexed and get access to the powerful `search` tool. ``` Let me search the environment for documents relevant to "ticket pricing API"... Found 3 relevant pages: - ./api/pricing.md (highly relevant) - ./guides/analytics.md (relevant) - ./examples/queries.md (somewhat relevant) I'll start by reading ./api/pricing.md... ``` **ToolFront Cloud** is currently in open beta. To request access, join our [Discord](https://discord.gg/rRyM7zkZTf) or email `esteban[at]kruskal[dot]ai`. ## Community & Contributing - **Discord**: Join our [community server](https://discord.gg/rRyM7zkZTf) for real-time help and discussions - **X**: Follow us [@toolfront](https://x.com/toolfront) for updates and news - **Issues**: Report bugs or request features on [GitHub Issues](https://github.com/statespace-ai/toolfront/issues) ## License This project is licensed under the terms of the MIT license.

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