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Experimental MCP Server for CommCare Connect (ccc)

@dimagi

代码仓库

基本信息

分类

其他

许可证

MIT license

传输方式

stdio

作者

dimagi

关于 Experimental MCP Server for CommCare Connect

A proof of concept demo of an MCP server for CommCare Connect

#commcare#mcp#server

Experimental MCP Server for CommCare Connect 配置

暂无标准配置

该服务器的 README 中没有可解析的 MCP 配置块，请前往代码仓库查看安装说明。

代码仓库

Experimental MCP Server for CommCare Connect 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

What is Experimental MCP Server for CommCare Connect (ccc)?

This experimental MCP server integrates with CommCare Connect's global stats API, allowing Claude Code and other MCP clients to query program dashboard data. It is built on the Python MCP SDK and is intended for developers and administrators who need programmatic access to earned amounts, paid amounts, active users, and visit statistics.

How to use Experimental MCP Server for CommCare Connect (ccc)?

To use it with Claude Code, run claude in the server folder. Modify the .mcp.json declaration for other tools. You need uv installed. Obtain an authentication token via the superuser admin page or a curl command with your username/password.

Key features of Experimental MCP Server for CommCare Connect (ccc)

  • Queries CommCare Connect’s global stats API
  • Filters by date ranges and program/organization IDs
  • Returns earned/paid amounts, active users, visit stats
  • Works with Claude Code and configurable for other MCP tools
  • Supports local development and staging environments

Use cases of Experimental MCP Server for CommCare Connect (ccc)

  • Monitor earned and paid amounts across programs and organizations
  • Track active user counts over custom date ranges
  • Retrieve visit statistics for program dashboards
  • Automate program reporting with natural language queries via Claude

常见问题

1

What can this MCP server query?

It queries the global stats API used by the program dashboard, returning amounts earned/paid, active users, and visit statistics. You can optionally filter by date ranges and specific program/organization IDs.

2

How do I get an authentication token?

As a superuser, visit `https://connect.dimagi.com/admin/authtoken/tokenproxy/` to find a token associated with your email. Alternatively, run `curl -X POST -d "username=you@dimagi.com&password=***" https://connect.dimagi.com/auth-token/` to create one.

3

What dependencies are required?

You need `uv` installed on your system. The server itself uses the Python MCP SDK.

4

Can I test against a development or staging server?

Yes. Change the `SERVER_ENDPOINT` in `.mcp.json` to `http://localhost:8000` or `https://connect-staging.dimagi.com/` and obtain a token from that environment.

5

Is this production‑ready?

No, it is explicitly experimental and built on the Python MCP SDK. Current functionality is limited to querying the global stats API.

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