
ToolFront
Provides unified access to multiple database types (PostgreSQL, MySQL, SQLite, DuckDB, BigQuery, Snowflake) with schema inspection, data sampling, and querying capabilities.
Provides unified access to multiple database types including PostgreSQL, MySQL, SQLite, DuckDB, BigQuery, and Snowflake with tools for schema inspection, data sampling, read-only querying, and intelligent pattern matching across tables.
What it does
- Query PostgreSQL, MySQL, SQLite, DuckDB, BigQuery, and Snowflake databases
- Inspect database schemas and table structures
- Sample data from tables for exploration
- Perform read-only queries across different database types
- Match patterns and search across table data
- Browse database contents without modification
Best for
About ToolFront
ToolFront is a community-built MCP server published by kruskal-labs that provides AI assistants with tools and capabilities via the Model Context Protocol. ToolFront is a knowledge database software and db management system offering unified access to databases with advanced t It is categorized under databases, ai ml.
How to install
You can install ToolFront in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.
License
ToolFront is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.
Website: https://statespace.com
Documentation: https://docs.statespace.com
A declarative framework for building AI-friendly web applications that agents can navigate and interact with.
Installation
Install the CLI:
curl -fsSL https://statespace.com/install.sh | bash
Example
Create it
Start with one file: README.md
---
tools:
- [expr]
---
```component
echo "Random number: $RANDOM"
```
# Instructions
- The component loads a random number when the page loads
- Use the `expr` tool to perform calculations with it
Serve it
Save the example above as myapp/README.md and run:
$ statespace serve myapp/
Running on `http://127.0.0.1:8000`
Ask it
Pass the URL to any agent that can make HTTP requests:
claude "Multiply the random number in http://127.0.0.1:8000 by 256"
Deploy it
Create a free Statespace account and deploy your app to the cloud:
$ statespace deploy myapp/
Deployed to https://myapp.statespace.app
Concepts
Tools — Give agents controlled access to CLI commands over HTTP.
---
tools:
- [grep]
- [curl, -X, GET, { }]
- [psql, -c, { regex: "^SELECT\\b.*" }]
---
Components — Render live data inside component code blocks.
```component
echo "Server time: $(date)"
```
Instructions — Guide agents through your data, workflows, and pages.
# Instructions
- Use grep to search for logs in ./data
- Query the database for recent users
- See [analyze](src/analyze.md) for more workflows
Features
✅ Simple — It's just Markdown. Easy to learn, easy to use, easy to maintain.
⚡ Lightweight — Install a single Rust binary. No dependencies.
🌐 Universal — Works immediately with any agent that can make HTTP requests.
📦 Portable — Deploy apps to the cloud for a public URL, or run them locally.
🔒 Secure — Restrict access to your private apps with token-based authentication.
Community & Contributing
- Discord: Join our community server for real-time help and discussions
- X: Follow us @statespace_tech for updates and news
- Issues: Report bugs or request features on GitHub Issues
License
This project is licensed under the terms of the MIT license.
Alternatives
Related Skills
Browse all skillsConduct comprehensive, systematic literature reviews using multiple academic databases (PubMed, arXiv, bioRxiv, Semantic Scholar, etc.). This skill should be used when conducting systematic literature reviews, meta-analyses, research synthesis, or comprehensive literature searches across biomedical, scientific, and technical domains. Creates professionally formatted markdown documents and PDFs with verified citations in multiple citation styles (APA, Nature, Vancouver, etc.).
Comprehensive guide for PostgreSQL psql - the interactive terminal client for PostgreSQL. Use when connecting to PostgreSQL databases, executing queries, managing databases/tables, configuring connection options, formatting output, writing scripts, managing transactions, and using advanced psql features for database administration and development.
Modern web development expertise covering React, Node.js, databases, and full-stack architecture. Use when: building web applications, developing APIs, creating frontends, setting up databases, deploying web apps, or when user mentions React, Next.js, Express, REST API, GraphQL, MongoDB, PostgreSQL, or full-stack development.
This skill should be used when the user requests to generate, create, or add Row-Level Security (RLS) policies for Supabase databases in multi-tenant or role-based applications. It generates comprehensive RLS policies using auth.uid(), auth.jwt() claims, and role-based access patterns. Trigger terms include RLS, row level security, supabase security, generate policies, auth policies, multi-tenant security, role-based access, database security policies, supabase permissions, tenant isolation.
Notion workspace integration. Use when user wants to read/write Notion pages, search databases, create tasks, or sync content with Notion.
Autonomous biomedical AI agent framework for executing complex research tasks across genomics, drug discovery, molecular biology, and clinical analysis. Use this skill when conducting multi-step biomedical research including CRISPR screening design, single-cell RNA-seq analysis, ADMET prediction, GWAS interpretation, rare disease diagnosis, or lab protocol optimization. Leverages LLM reasoning with code execution and integrated biomedical databases.