Today, Vantage is open‑sourcing its Remote Model Context Protocol (MCP) Server, so teams can connect AI agents to live cloud cost and usage data through a standard, secure interface. Customers can now review and extend the server, run it in their own environments, and combine it with other MCPs to automate FinOps workflows.

Vantage initially released its Local MCP in April 2025, just as MCPs were becoming a new open-source framework. As the protocol matured, Vantage released an additional MCP, the Remote MCP, for access without needing to install packages or manage infrastructure. The Remote MCP was a separate code base and quickly became the preferred choice for many organizations looking for an easy MCP setup. However, this meant customers had to choose between running a local, open‑source MCP with full visibility into the code and tools but requiring local installation, or using Vantage's hosted Remote MCP without transparency into the underlying implementation.

Today, Vantage is unifying the code base of our Remote and Local MCP as a single, open-source codebase, giving customers the freedom to utilize the same functionality, whether they choose to connect remotely or host locally. Anyone can now inspect and contribute to the Vantage MCP code, adapt tools to match their FinOps practices, and choose the deployment mode that best fits their needs - whether for individual development, team collaboration, or production environments, all while using familiar MCP clients like Claude Desktop and Cursor.

The open-source MCP is available today. To get started, follow the repository's README to run locally via stdio or deploy remotely using multiple authentication methods.

Frequently Asked Questions

1. What is being launched today?

Vantage is open‑sourcing its MCP Server. Vantage’s Local and Remote MCP Servers have now been unified into a single, open-source codebase.

2. Who is the customer?

FinOps and engineering teams that want agentic access to cost and usage data, with the flexibility to run, audit, and customize the server.

3. How much does this cost?

There is no additional cost for using the MCP Server. Standard Vantage API rate limits apply when querying your data.

4. What has changed from Vantage’s previous MCP releases?

Vantage initially launched a Local MCP, which was open-sourced, and then released a Vantage managed, Remote MCP, which utilized a separate code base. With today’s launch, Vantage has unified the code bases of both MCPs for anyone to utilize all the same tools across either deployment method, view and contribute to source code, or fork for their own custom implementation.

Note: The previous version of the vantage-mcp-server repo code is available here.

5. What functionality is included?

The MCP has tools to query and list costs and cost reports, get forecasts, budgets, dashboards, tags, tag values, anomalies, unit costs, and more. It can also create Cost Reports and budgets. Additional tools are consistently being added, so be sure to check the repository for an up-to-date list of tools.

6. Which MCP clients are supported?

Any client that implements MCP, including Claude, Cursor, Bedrock, Goose, and others. See each client’s version requirements for details on how to connect.

7. How do I authenticate?

Use a Vantage MCP Server API token for self‑hosted deployments, which can be provisioned in Vantage Settings.

8. Does Vantage see my prompts?

Prompts remain within your AI agent environment. Vantage only observes API calls made on your behalf when you query your own data.

9. Can I contribute?

Yes, open issues and pull requests in the repository. We welcome bug reports, docs updates, and proposals for new tools.

10. How do I get started?

Clone the repository, configure your API token, and connect from an MCP client, like Claude Desktop or Cursor. See the README for a quickstart and deployment steps.