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JCGE Agent Interface logo
Health: ActiveRecent health check succeeded.Last checked 9/7/2026, 7:52:20 PM

JCGE Agent Interface

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MCP server for JCGE discovery, modeling guidance, solving, validation, and equation rendering.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent β€” or use 1-click editor setup below.

Add to CursorAdd to VS Code
Manual Client & Custom JSON ConfigExpand JSON β–Ύ

Client Config & Setup

Remote HTTP
Choose your client or environment
Target File:~/Library/Application Support/Claude/claude_desktop_config.json
claude_desktop_config.json
{
  "mcpServers": {
    "jcge-agent-interface": {
      "url": "https://jcge.org"
    }
  }
}

πŸ’‘ Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Install Directory Badge Claim listing AlternativesπŸ’» More in Developer Tools

Documentation Overview

JCGE AgentInterface logo

JCGEAgentInterface

What is a CGE?

A Computable General Equilibrium (CGE) model is a quantitative economic model that represents an economy as interconnected markets for goods and services, factors of production, institutions, and the rest of the world. It is calibrated with data (typically a Social Accounting Matrix) and solved numerically as a system of nonlinear equations until equilibrium conditions (zero-profit, market-clearing, and income-balance) hold within tolerance.

What is JCGE?

JCGE is a block-based CGE modeling and execution framework in Julia. It defines a shared RunSpec structure and reusable blocks so models can be assembled, validated, solved, and compared consistently across packages.

What is this package?

MCP-compatible interface layer for agents that need to discover, load, solve, validate, and inspect

JCGE models. It exposes a small action API and a standard MCP stdio server over the same functionality.

The agent surface is intentionally focused on:

  • discovering installed JCGE packages and available functionality,
  • listing and describing reusable JCGEBlocks components,
  • guiding users through CGE model development with JCGE blocks,
  • guiding formulation choices such as equality systems, inequalities, MCP/complementarity, and optimization-style representations,
  • guiding calibration with the currently available JCGECalibrate loaders, SAM helpers, labeled containers, and parameter workflows,
  • guiding solver choice and reporting from generated equations,
  • solving registered RunSpec models,
  • validating solved contexts,
  • rendering implemented equations, blocks, and symbols through JCGEOutput,
  • reporting or applying updates to released JCGE packages in the active Julia environment.

The package services are grouped in the documentation as discovery, modeling guidance, model interaction, reporting, environment maintenance, and MCP runtime services. See docs/src/services.md for the full service contract and current limits.

MCP server

The standard MCP transport is:

julia
using JCGEAgentInterface
serve(transport=:mcp_stdio)

Minimal local MCP client configuration:

config.json
{
  "mcpServers": {
    "jcge": {
      "command": "julia",
      "args": [
        "--project=/path/to/JCGEAgentInterface.jl",
        "-e",
        "using JCGEAgentInterface; serve(transport=:mcp_stdio)"
      ]
    }
  }
}

The MCP tools use the jcge_ prefix:

  • jcge_capabilities
  • jcge_list_blocks
  • jcge_describe_block
  • jcge_modeling_guide
  • jcge_formulation_guide
  • jcge_solver_guide
  • jcge_calibration_guide
  • jcge_reporting_guide
  • jcge_package_status
  • jcge_update_packages
  • jcge_list_models
  • jcge_load_model
  • jcge_solve
  • jcge_validate_model
  • jcge_render_model
  • jcge_export_results

The original custom JSON action protocol remains available:

serve() reads JSON requests from stdin and writes JSON responses to stdout.

Docker and MCP Registry

OCI-oriented MCP registry metadata is declared in server.json.

Future version tags matching v*.*.* trigger .github/workflows/publish-mcp.yml, which:

  • verifies the tag version matches Project.toml,
  • builds the MCP Docker image,
  • pushes it to GitHub Container Registry as ghcr.io/equicirco/jcge-agentinterface-mcp:<release-version>,
  • updates server.json for that release,
  • publishes the metadata to the official MCP Registry through GitHub OIDC.

The Docker image includes the MCP ownership label required by the MCP Registry:

dockerfile
LABEL io.modelcontextprotocol.server.name="io.github.equicirco/JCGEAgentInterface.jl"

No release, tag, image publication, or registry publication is performed by editing this repository.

How to cite

If you use the JCGE framework, please cite:

Boero, R. JCGE - Julia Computable General Equilibrium Framework [software], 2026. DOI: 10.5281/zenodo.18282436 URL: https://JCGE.org

bibtex
@software{boero_jcge_2026,
  title  = {JCGE - Julia Computable General Equilibrium Framework},
  author = {Boero, Riccardo},
  year   = {2026},
  doi    = {10.5281/zenodo.18282436},
  url    = {https://JCGE.org}
}

If you use this package, please cite:

Boero, R. JCGEAgentInterface.jl - MCP-compatible agent interface for JCGE tooling. [software], 2026. DOI: 10.5281/zenodo.18335121 URL: https://AgentInterface.JCGE.org SourceCode: https://github.com/equicirco/JCGEAgentInterface.jl

bibtex
@software{boero_jcgeagentinterface_2026,
  title  = {JCGEAgentInterface.jl - MCP-compatible agent interface for JCGE tooling.},
  author = {Boero, Riccardo},
  year   = {2026},
  doi    = {10.5281/zenodo.18335121},
  url    = {https://AgentInterface.JCGE.org}
}

If you use a specific tagged release, please cite the version DOI assigned on Zenodo for that release (preferred for exact reproducibility).

Read the full README β†’View source on GitHub β†’

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Frequently Asked Questions about JCGE Agent Interface

Add the following block to your claude_desktop_config.json under mcpServers: "mcpServers": { "jcge-agent-interface": { "command": "npx", "args": ["-y", "JCGE Agent Interface"] } }

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Technical Specs & Signals

CategoryπŸ’»Developer Tools
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TransportSSE (Remote)
RuntimeNode.js
Last updatedSep 7, 2026
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36Quality signal: Fair Β· 36/100How this signal is calculated β–Ύ
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Not scored for repo-hosted servers β€” we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20
Documentation & tools16/30
Adoption & activity1/15
Community engagement0/10

A guidance signal from public completeness & health data β€” not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

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