OpenBB Widgets JSON MCP Server

An MCP server that exposes the OpenBB widgets.json specification as structured, callable tools. Instead of parsing long-form documentation, developers (and AI coding assistants like Claude Code) can directly query widget types, inputs, and configuration examples through this server.

What This Does

Each widget type is mapped to its own tool—making it easy to generate, mix, and match valid JSON specs when building new OpenBB apps. The server is built with FastMCP, programmatically generated from the OpenBB developer docs, and hosted on Smithery.ai for discoverability.

The server provides:

• Widget configuration and types documentation

• Widget parameters (dropdowns, date pickers, toggles, etc.)

• JSON specifications for widgets, apps, and agents

• Essential boilerplate code for building OpenBB widgets

• Data integration and AI agents documentation

Prerequisites

• Python 3.12 or higher

• uv package manager

• Node.js and npx (optional, for Smithery CLI and playground)

Quick Start

1. Clone the repository:

   git clone https://github.com/OpenBB-finance/openbb-widgets-json-mcp.git cd openbb-widgets-json-mcp

2. Install dependencies:

   uv sync

3. Run the server:

   uv run python main.py

4. Test it's working: The server will start on http://localhost:8081

5. Launch Smithery Playground (optional):

   npm install -g @smithery/cli smithery playground --port 8081

   This opens an interface to test the MCP tools interactively.

Available MCP Tools

Via iterating through OpenBB docs

Widget Configuration Tools

• widget_configuration_category_subcategory - Category and subcategory configuration

• widget_configuration_error_handling - Error handling in widgets

• widget_configuration_grid_size - Grid size configuration

• widget_configuration_refetch_interval - Refetch interval settings

• widget_configuration_render_functions - Render functions

• widget_configuration_run_button - Run button configuration

• widget_configuration_stale_time - Stale time settings

Widget Parameter Tools

• widget_parameters_text_input - Text input parameters

• widget_parameters_date_picker - Date picker parameters

• widget_parameters_boolean_toggle - Boolean toggle parameters

• widget_parameters_dropdown - Dropdown parameters

• widget_parameters_advanced_dropdown - Advanced dropdown parameters

• widget_parameters_dependent_dropdown - Dependent dropdown parameters

• widget_parameters_number_input - Number input parameters

• widget_parameters_input_form - Input form parameters

• widget_parameters_parameter_grouping - Parameter grouping

• widget_parameters_parameter_positioning - Parameter positioning

• widget_parameters_cell_click_grouping - Cell click grouping

Widget Type Tools

• widget_types_plotly_charts - Plotly charts

• widget_types_highcharts - Highcharts

• widget_types_tradingview_charts - TradingView charts

• widget_types_aggrid_table_charts - AgGrid table charts

• widget_types_markdown - Markdown widgets

• widget_types_html - HTML widgets

• widget_types_metric - Metric widgets

• widget_types_newsfeed - Newsfeed widgets

• widget_types_file_viewer - File viewer widgets

• widget_types_live_grid - Live grid widgets

• widget_types_omni - Omni widgets

• widget_types_ssrm_mode - SSRM mode

JSON Reference Tools

• json_specs_widgets_json_reference - Widgets JSON reference

• json_specs_apps_json_reference - Apps JSON reference

• json_specs_agents_json_reference - Agents JSON reference

Additional Tools

• data_integration - Data source integration

• ai_agents_ai_agents - AI agents documentation

• apps_apps - OpenBB applications documentation

Added ad-hoc

• building_widgets_on_openbb - Essential boilerplate code for OpenBB widgets (ALWAYS call this first)

Example: Playground Monte Carlo Widget

The playground/ folder contains a complete Monte Carlo simulation widget built using Claude Code and this MCP server. This demonstrates the full development workflow:

1. Claude Code queried the MCP server for OpenBB widget specifications

2. MCP tools provided boilerplate code, plotly chart documentation, and JSON reference specs

3. Generated widget includes:

   • 3 parameters: ticker (text), start_date (date), use_volatility_adjustment (boolean)

   • Plotly visualization with 50 simulation paths + percentile bands

   • Raw data mode returning pure simulation arrays

   • Run button for manual execution

   • Full OpenBB Workspace integration

To run the example:

This serves as a practical example of how AI coding assistants can leverage MCP servers to rapidly build compliant OpenBB widgets by accessing structured documentation programmatically.

Deploy to Smithery

To deploy your MCP server:

• Push your code to GitHub (include smithery.yaml and Dockerfile)

• Connect your repository at https://smithery.ai/new

Your server will be available over HTTP and ready to use with any MCP-compatible client!

Stopping the Server

Press Ctrl+C in the terminal to stop the server.