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ToolFront MCP Server

Securely connects AI agents to multiple databases simultaneously while enabling collaborative learning from team query patterns, all while keeping data private by running locally.

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3/3/2026
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MCP Server Configuration
1{
2 "name": "toolfront",
3 "command": "uvx",
4 "args": [
5 "toolfront",
6 "mcp",
7 "http://127.0.0.1: 8000"
8 ]
9}
JSON9 lines
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README Documentation

Statespace

Statespace

Turn your data into shareable LLM apps in minutes. All in pure Markdown. Zero boilerplate.

Test Suite


Documentation: docs.statespace.com

Source code: https://github.com/statespace-tech/statespace


Statespace is a declarative framework for building modular LLM applications in Markdown.

Installation

Install the CLI:

curl -fsSL https://statespace.com/install.sh | bash

Example

Create it

Start with one file: README.md

---
tools:
  - [date]
---

# Instructions
- Run `date` to check today's date

Serve it

Run your app locally (no account required):

statespace serve .

Note: Runs on http://127.0.0.1:8000

Ask it

Include the app URL in your prompts:

Claude Code
claude "Get today's date from http://127.0.0.1:8000"
GitHub Copilot
copilot "Get today's date from http://127.0.0.1:8000"
Codex
codex "Get today's date from http://127.0.0.1:8000"

For custom agents, add an HTTP request tool:

TypeScript
import { execFileSync } from 'child_process';

/**
 * Execute curl commands to interact with Statespace apps.
 */
function curlTool(url: string, args: string[]): string {
    const result = execFileSync('curl', [...args, url], {
        encoding: 'utf-8'
    });
    return result.toString();
}
Rust
use std::process::Command;

/// Execute curl commands to interact with HTTP endpoints.
fn curl_tool(url: &str, args: Vec<&str>) -> String {
    let output = Command::new("curl")
        .args(&args)
        .arg(url)
        .output()
        .unwrap();
    String::from_utf8_lossy(&output.stdout).to_string()
}

Complex example

Upgrade it

Your app can grow into a full project:

project/
├── README.md
├── data/
│   ├── log1.txt
│   ├── log2.txt
│   └── log3.txt
└── src/
    ├── agentic_rag.md
    ├── text2sql.md
    └── vector_search.md

3 directories, 9 files

Update README.md with CLI tools to progressively discover and read other files:

---
tools:
  - [date]
  - [ls]
  - [cat]
---

# Instructions
- Run `date` to check today's date
- Use `ls` and `cat` to discover and read other files

Compose it

Add pages and CLI tools for different workflows:

Vector Search
---
tools:
  - [curl, -X, POST, https://host.pinecone.io/records/namespaces/user/search]
---

# Vector search instructions:
- Query documents with your vector database API

Note: replace the API with your own (e.g., Pinecone, Weaviate, Qdrant)

Text-to-SQL
---
tools:
  - [psql, -U, $USER, -d, $DB, -c, { regex: "^SELECT\b.*" }]
---

# Text-to-SQL instructions:
- Use `psql` for read-only PostgreSQL queries

Note: use your own database CLI (e.g., mysql, sqlite3, mongosh).

Agentic RAG
---
tools:
  - [grep, -r, -i, { }, ../data/]
---

# Document search instructions:
- Use `grep` to search documents in `../data/`

Note: apps can include any file type (e.g. .csv, .sqlite, .json)

Deploy it

Create a free Statespace account to deploy authenticated private apps:

statespace app create . --visibility private

Alternatively, share public apps with the community:

statespace app create . --visibility public

Note Statespace gives you app URLs you can paste in prompts and instructions.

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.

Quick Install

Quick Actions

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Key Features

Model Context Protocol
Secure Communication
Real-time Updates
Open Source

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