Opengov MCP Server
O

Opengov MCP Server

An MCP server connecting Claude Desktop with government open data
2 points
6.6K

What is OpenGov MCP Server?

This is an adapter service specifically designed for Claude Desktop, which can directly access global government open data platforms (such as the data portals of cities like Chicago and New York). It transforms complex data APIs into natural language interaction interfaces, allowing you to obtain government public data through daily conversations.

How to use OpenGov MCP Server?

Simply add a few lines of settings to the Claude Desktop configuration file, and you can immediately start querying data in natural language. The system will automatically handle technical details, and you only need to focus on the problems to be solved.

Use cases

Suitable for journalists, researchers, corporate analysts, or ordinary citizens to quickly obtain government public data, such as municipal budgets, traffic violations, public facilities, and other types of information, without the need to learn professional data analysis tools.

Main features

Intelligent data discovery
Quickly locate relevant datasets through keywords, categories, or tags, and automatically recommend the most suitable government data resources.
Metadata browsing
View key information such as detailed descriptions, field explanations, and update frequencies of datasets to help understand the data background.
Natural language query
Express data requirements in daily language, and the system will automatically convert them into professional queries (supports filtering and sorting functions similar to SQL).
Advantages
Zero-configuration access: Most public datasets can be accessed without an API key.
Multi-city support: Different government data portals can be switched through the same interface.
Technical transparency: Automatically handle the complex technical details of the Socrata platform.
Limitations
Only supports data portals on the Socrata platform (accounting for about 70% of government open data).
Advanced functions such as big data export may require direct access to the original platform.
The query response speed depends on the performance of the government data platform.

How to use

Configure Claude Desktop
Create or edit the claude_desktop_config.json file in the user directory.
Restart the application
Restart Claude Desktop after saving the configuration file to make the settings take effect.
Start querying
Directly submit data requirements in the chat interface, for example: "Please show the building permit data of San Francisco in the past three months."

Usage examples

Municipal budget analysis
Journalists quickly obtain annual city budget data for news reports.
Business location research
Entrepreneurs analyze the pedestrian flow characteristics of different regions.

Frequently Asked Questions

Is payment or API key registration required?
How to know if a certain city is supported?
Can the query results be exported?

Related resources

Socrata Developer Portal
Official development documentation and API reference.
Government Open Data Catalog
US federal government data portal.
GitHub Repository
Project source code and issue tracking.

Installation

Copy the following command to your Client for configuration
{
     "mcpServers": { 
       "opengov": {
         "command": "npx",
         "args": ["-y", "opengov-mcp-server@latest"],
         "env": {
           "DATA_PORTAL_URL": "https://data.cityofchicago.org"
         }
       }
     }
   }

{
     "mcpServers": { 
       "opengov": {
         "command": "node",
         "args": [
           "/path/to/your/opengov-mcp-server/dist/index.js"
         ],
         "env": {
           "DATA_PORTAL_URL": "https://data.cityofchicago.org"
         }
       }
     }
   }
Note: Your key is sensitive information, do not share it with anyone.

Alternatives

V
Vestige
Vestige is an AI memory engine based on cognitive science. By implementing 29 neuroscience modules such as prediction error gating, FSRS - 6 spaced repetition, and memory dreaming, it provides long - term memory capabilities for AI. It includes a 3D visualization dashboard and 21 MCP tools, runs completely locally, and does not require the cloud.
Rust
5.9K
4.5 points
M
Moltbrain
MoltBrain is a long-term memory layer plugin designed for OpenClaw, MoltBook, and Claude Code, capable of automatically learning and recalling project context, providing intelligent search, observation recording, analysis statistics, and persistent storage functions.
TypeScript
5.4K
4.5 points
B
Bm.md
A feature-rich Markdown typesetting tool that supports multiple style themes and platform adaptation, providing real-time editing preview, image export, and API integration capabilities
TypeScript
4.9K
5 points
S
Security Detections MCP
Security Detections MCP is a server based on the Model Context Protocol that allows LLMs to query a unified security detection rule database covering Sigma, Splunk ESCU, Elastic, and KQL formats. The latest version 3.0 is upgraded to an autonomous detection engineering platform that can automatically extract TTPs from threat intelligence, analyze coverage gaps, generate SIEM-native format detection rules, run tests, and verify. The project includes over 71 tools, 11 pre-built workflow prompts, and a knowledge graph system, supporting multiple SIEM platforms.
TypeScript
6.2K
4 points
P
Paperbanana
Python
6.4K
5 points
F
Finlab Ai
FinLab AI is a quantitative financial analysis platform that helps users discover excess returns (alpha) in investment strategies through AI technology. It provides a rich dataset, backtesting framework, and strategy examples, supporting automated installation and integration into mainstream AI programming assistants.
5.9K
4 points
B
Better Icons
An MCP server and CLI tool that provides search and retrieval of over 200,000 icons, supports more than 150 icon libraries, and helps AI assistants and developers quickly obtain and use icons.
TypeScript
7.0K
4.5 points
A
Assistant Ui
assistant - ui is an open - source TypeScript/React library for quickly building production - grade AI chat interfaces, providing composable UI components, streaming responses, accessibility, etc., and supporting multiple AI backends and models.
TypeScript
7.5K
5 points
N
Notion Api MCP
Certified
A Python-based MCP Server that provides advanced to-do list management and content organization functions through the Notion API, enabling seamless integration between AI models and Notion.
Python
21.5K
4.5 points
M
Markdownify MCP
Markdownify is a multi-functional file conversion service that supports converting multiple formats such as PDFs, images, audio, and web page content into Markdown format.
TypeScript
34.5K
5 points
G
Gitlab MCP Server
Certified
The GitLab MCP server is a project based on the Model Context Protocol that provides a comprehensive toolset for interacting with GitLab accounts, including code review, merge request management, CI/CD configuration, and other functions.
TypeScript
24.7K
4.3 points
D
Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
72.5K
4.3 points
U
Unity
Certified
UnityMCP is a Unity editor plugin that implements the Model Context Protocol (MCP), providing seamless integration between Unity and AI assistants, including real - time state monitoring, remote command execution, and log functions.
C#
32.3K
5 points
F
Figma Context MCP
Framelink Figma MCP Server is a server that provides access to Figma design data for AI programming tools (such as Cursor). By simplifying the Figma API response, it helps AI more accurately achieve one - click conversion from design to code.
TypeScript
65.6K
4.5 points
G
Gmail MCP Server
A Gmail automatic authentication MCP server designed for Claude Desktop, supporting Gmail management through natural language interaction, including complete functions such as sending emails, label management, and batch operations.
TypeScript
21.1K
4.5 points
C
Context7
Context7 MCP is a service that provides real-time, version-specific documentation and code examples for AI programming assistants. It is directly integrated into prompts through the Model Context Protocol to solve the problem of LLMs using outdated information.
TypeScript
97.5K
4.7 points
AIBase
Zhiqi Future, Your AI Solution Think Tank
© 2026AIBase