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david-aftergut

ILBudget MCP Server

MCP Server

Real‑time Israeli budget data via MCP

Stale(55)
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Updated May 6, 2025

About

A FastMCP server that bridges Israel’s OpenBudget API, providing easy access to budget structures, contracts, supports and historical data for MCP clients.

Capabilities

Resources
Access data sources
Tools
Execute functions
Prompts
Pre-built templates
Sampling
AI model interactions

Overview

The ILBudget‑MCP server is a specialized bridge that exposes Israel’s public budget data to AI assistants via the Model Context Protocol. By wrapping the OpenBudget API with a FastMCP interface, it gives developers an intuitive, language‑agnostic way to query, analyze, and visualize government spending without wrestling with raw REST endpoints or complex authentication flows. This is especially valuable for data‑driven applications that need up‑to‑date fiscal information, such as compliance tools, civic dashboards, or educational platforms.

At its core, the server offers a set of high‑level tools that translate common budgeting tasks into simple function calls. For example, returns the entire hierarchical structure of national spending, while lets users perform keyword searches across categories like ministries, projects, or contracts. More granular queries—such as or —provide deep dives into specific budget lines, making it easy to trace allocations, track amendments, or audit contractual obligations. The inclusion of historical data via supports trend analysis and forecasting, a feature often missing in raw API access.

Developers can integrate ILBudget‑MCP into their AI workflows by simply importing the server as a tool in Claude, Copilot, or any MCP‑compatible client. Once registered, an AI assistant can request budget snapshots, retrieve contract details, or search for specific funding streams—all within the same conversational context. This seamless integration eliminates context switching between external dashboards and the assistant, allowing for more natural, data‑rich interactions. For instance, a civic journalist could ask an assistant to “compare last year’s defense spending with this year’s” and receive a concise summary directly in the chat.

Real‑world use cases abound. A non‑profit could build a compliance checker that automatically flags budget entries exceeding regulatory thresholds. An educational platform might let students explore how their local municipality allocates funds by querying the server in real time. Government transparency portals could embed the MCP tools to provide citizens with instant, machine‑readable access to budget documents. Because the server pulls directly from OpenBudget’s live API, stakeholders always see current figures, reducing lag and ensuring accuracy.

What sets ILBudget‑MCP apart is its combination of simplicity and depth. The FastMCP framework handles authentication, rate limiting, and response formatting behind the scenes, freeing developers to focus on business logic. The server’s modular toolset mirrors common budgeting workflows, so even those unfamiliar with the underlying API can quickly compose complex queries. Moreover, by offering both full budget overviews and fine‑grained contract data in a single interface, it removes the need for multiple disparate services. This unified approach streamlines development, accelerates prototyping, and ultimately empowers AI assistants to deliver richer, more actionable insights into Israel’s public finances.