OpenGov MCP for AI. Query government data and manage resources with conversation.
Gemini Works with every AI agent you already use
…and any MCP-compatible client
How this MCP server connects to your AI agent
OpenGov MCP connects your AI client directly to public sector data sources, allowing you to manage government records through natural language conversation.
Use this tool to list available financial reports, query departmental funds, and administer user accounts without touching a manual portal.
What AI agents can do with OpenGov Automation
Create department
Creates a brand new department record within the OpenGov system.
Create user
Adds and sets up an entirely new user profile in OpenGov.
Get fund
Retrieves all detailed financial information for a single, specific fund ID.
List available reports, fetch raw data rows for specific reports, and retrieve metadata schemas to understand data structures.
Create new user profiles, update existing staff details, or get full information on any user within the OpenGov system.
List all departments in the organization and retrieve detailed financial records for specific funds using their unique identifiers.
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What AI agents can do with OpenGov MCP with 11 Tools
Use these tools to list resources, manage user accounts, check report schemas, or retrieve specific departmental financial data directly through your AI agent.
Make your AI actually useful.
Add this MCP to Claude, Cursor, or Windsurf and your AI stops guessing. It gets real tools to look things up, take action, and handle the stuff you keep doing by hand.
Start using OpenGov on VinkiusCreate Department
Creates a brand new department record within the OpenGov system.
Create User
Adds and sets up an entirely new user profile in OpenGov.
Get Fund
Retrieves all detailed financial information for a single, specific fund ID.
Get Report Data
Pulls the actual data rows from a designated report into your chat environment.
Get Report Metadata
Shows you the structure and schema of any available report without downloading the...
Get User
Fetches all detailed information for an existing OpenGov user by their unique ID.
List Departments
Provides a comprehensive list of every department registered in the system.
List Funds
Lists all currently active financial funds that are tracked by OpenGov.
List Reports
Returns a list of every report available for querying in the system.
List Users
Retrieves a basic directory listing of all current OpenGov users.
Update User
Modifies existing details, roles, or statuses for an already defined user profile.
Security and governance baked right in.
Pick your AI client below to get set up. Just create a Vinkius account, subscribe, and you're instantly up and running. We handle the entire backend infrastructure, delivering out-of-the-box support for HTTPS Streamable, SSE, and OAuth2—zero messy routing required.
Claude AI
Open Claude Settings
Go to claude.ai, click your profile icon, then navigate to Customize → Connectors.
Add Custom Connector
Click the "+" button and select Add custom connector. Paste your Vinkius endpoint URL:
https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp
Replace [YOUR_TOKEN_HERE] with your token
from cloud.vinkius.com. For OAuth-protected servers, expand
Advanced settings to add credentials.
Start a conversation
Open a new chat. The OpenGov integration is available immediately — no restart needed.
Choose How to Get Started
Build a custom MCP for your own tools, or connect a ready-made integration from our catalog.
Build Your Own
Turn any API into an MCP. Import a spec, define Agent Skills, or deploy with MCPFusion.
- Import from OpenAPI, Swagger, or YAML specs
- Create Agent Skills with progressive disclosure
- Deploy to edge with MCPFusion framework
- Built in DLP, auth, and compliance on every call
- Real time usage dashboard and cost metering
- Publish to catalog or keep private
Make Your AI Do More
Start with OpenGov, then connect any of our 5,100+ other servers whenever your AI needs more. One click, no limits.
- Use this MCP plus 5,100+ others, all in one place
- Add new capabilities to your AI anytime you want
- Every connection is secured and compliant automatically
- Track usage and costs across all your servers
- Works with Claude, ChatGPT, Cursor, and more
- New servers added to the catalog every week
Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by OpenGov. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.
VINKIUS INFRASTRUCTURE
Cloud Hosted
Managed infra
V8 Isolated
Sandboxed per request
Zero-Trust Proxy
No stored credentials
DLP Enforced
Policy on every call
GDPR Compliant
EU data residency
Token Compression
~60% cost reduction
Built on the Model Context Protocol (MCP) for Claude, ChatGPT, Cursor, and more
The Model Context Protocol standardizes how applications expose capabilities to LLMs. Instead of operating in isolation, your AI gains direct access to external platforms, live data, and real-world actions through secure, standardized connections.
This connection provides 11 powerful capabilities that interface natively with Claude, ChatGPT, Cursor, and other compatible AI platforms. No middleware. No custom integration required.
The Pain of Public Data Research, Solved with Vinkius AI Gateway
Today, checking public sector data feels like navigating a labyrinth. You start by logging into the OpenGov portal, then you have to manually click through different sections just to list reports. If you want to know what kind of data is available for 'Annual Budget,' you might find a document, but that document doesn't tell you if the raw figures are in JSON or CSV, nor does it show the underlying schema.
With this MCP, your agent handles all that clicking and guessing. You simply ask: 'What reports track departmental expenses?' The system responds with usable data structures and metadata instantly. You get direct access to the report schemas and can pull raw rows without ever leaving your chat window.
OpenGov MCP Gives You Direct Data Control
The biggest time sinks vanish immediately. No more manually cross-referencing department names across three different internal documents; `list_departments` gives you the definitive list. Likewise, instead of requesting a spreadsheet from an administrator, you tell your agent to execute `get_report_data`, and the data appears ready for analysis.
Your workflow stops being about navigating interfaces and starts being purely about asking questions. You control the flow of information by querying specific funds or managing users with precision that manual clicks simply can't match.
What your AI can actually do with this
This connector lets you handle complex public administration tasks using only conversational commands. Instead of navigating multiple dashboards or running SQL queries, your AI client talks directly to OpenGov's data layer. You can instantly list all available reports, fetch specific financial data rows in JSON or CSV format, and even inspect the metadata schema before requesting a full dataset.
Need to manage staff? Use it to create, update, or retrieve details for any user profile or department structure. It makes tracking budgetary allocations simple. Because this MCP is hosted on Vinkius, you connect once from your preferred AI client—whether that's Cursor, Claude, or Windsurf—and gain access to the entire catalog of connected services.
019ea5fc-4108-707b-893b-e25d6f4c8358 
Here's how it actually works
The bottom line is that you manage complex government records by talking to them instead of clicking through dozens of web pages.
Subscribe to this MCP on Vinkius and enter your OpenGov API key.
Direct your AI client to use the connector. You can then ask it to list departments, funds, or reports using plain language.
Your agent runs the necessary commands against OpenGov's backend and returns structured data (JSON/CSV) directly into your chat window.
Who is this actually for?
Public sector data analysts, IT administrators, and budget managers use this MCP. These roles spend too much time manually cross-referencing department structures with financial reports or running repetitive user lookups in legacy portals.
They query report schemas using get_report_metadata before writing a single line of analysis code, ensuring the data source is correct.
They use the MCP to manage user accounts and departmental structures directly via simple commands like creating new users or listing departments.
They check fund status and track budgetary allocations by calling list_funds or fetching specific details using get_fund without logging into the financial portal.
What Changes When You Connect
Stop manual navigation. Instead of logging into the OpenGov portal to see what reports exist, simply ask your agent to list_reports and get a full list instantly.
Save time on schema validation. Before you write any code, use get_report_metadata to check the data structure for a report. You'll know exactly which fields are available before querying.
Simplify user management. Forget logging into separate HR or IT systems; your agent can handle creating new staff using create_user or updating their roles with update_user.
Track money better. Need to know the status of a specific budget? Use get_fund to pull all financial details for that fund ID directly, eliminating manual lookups in spreadsheets.
Consolidate data access. If you need departmental info and user lists, your agent can handle both by calling list_departments and then list_users, keeping everything within one conversation thread.
See it in action
Auditing Departmental Changes
An auditor needs to verify which departments exist and who manages them. Instead of running a report on the internal portal, they ask their agent to run list_departments followed by list_users. This gives them an instant, consolidated view of organizational structure and personnel access.
Quick Financial Deep Dive
A budget manager needs data on a specific grant fund. Instead of searching through complex financial dashboards, they ask the agent to get_fund by ID. They immediately receive all necessary financial details in structured JSON format for quick review.
Onboarding New Staff
An HR specialist needs to bring a new employee online. Instead of manually creating records, they instruct their agent to create_user with the correct credentials and then use update_user if any role adjustments are needed.
Researching Available Data
A data analyst is unsure which reports exist for a new project. They simply ask their agent to execute list_reports. This provides the full catalog of available datasets, allowing them to select the perfect source without guessing.
The honest tradeoffs
Manual Schema Guesswork
The analyst tries connecting directly to the database and guesses column names or data types for a report they've never seen.
First, use get_report_metadata on the target report. This function reads the schema right into your chat, showing you exactly what columns exist and what type of data they hold before you write any code.
Using a Generic Directory Tool
The user only uses a general directory tool that lists names but provides no role or status information.
Always use get_user with the specific ID. This function pulls comprehensive details, including roles and current statuses, so you know exactly what access level that person has.
Creating Records Blindly
The admin runs a basic 'create' command without specifying required fields like department affiliation or initial fund linkage.
Use list_departments first to get the valid list of departments, and then combine that knowledge with create_user. This ensures the new user record is properly linked to an existing organizational structure.
When It Fits, When It Doesn't
You should use this MCP if your job involves querying structured governmental data—think budgets, staffing records, or public reports. It's perfect when you need an AI agent to act as a highly knowledgeable proxy for the OpenGov system, letting you manage users (create_user), track funds (get_fund), and analyze reports without ever opening a browser tab. Don't use this if your primary goal is unstructured data processing, like analyzing handwritten notes or summarizing meeting transcripts; those require different tools. If all you need is to see names, then list_users is enough, but remember that for full detail, you always need the specific ID and must run get_user.
Questions you might have
How do I find out what data is available in OpenGov using OpenGov MCP? +
You start by running list_reports. This function gives you the names of all reports. After selecting one, use get_report_metadata to see the exact columns and schema before attempting to pull any data.
Can OpenGov MCP help me add a new staff member? +
Yes. You can use create_user to build the profile, and if they need special access or departmental linking, you can follow up with update_user to finalize their account settings.
What is the difference between `list_users` and `get_user` using OpenGov MCP? +
list_users provides a basic directory—it just gives you names. If you need full details, like their department or role status, you must use get_user with their unique ID.
Does OpenGov MCP handle financial fund tracking? +
Absolutely. You can use list_funds to see all active funds, and then call get_fund to pull detailed financial records for any specific fund you are investigating.
We've already built the connector for OpenGov. Just plug in your AI agents and start using Vinkius.
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