
Activity Reporting
STDIOAI-powered activity reporting server for Google Developer Experts (GDEs) via Advocu API.
AI-powered activity reporting server for Google Developer Experts (GDEs) via Advocu API.
This project empowers Google Developer Experts (GDEs) to effortlessly report their activities through AI-powered conversational interfaces. By integrating the Advocu API with the Model Context Protocol (MCP), GDEs can now submit their content creation, speaking engagements, workshops, mentoring sessions, and other activities directly through AI chat models or command-line tools. This streamlines the reporting process, making it more intuitive and accessible while maintaining the detailed tracking that the GDE program requires.
A Model Context Protocol (MCP) server for reporting activities to the Advocu GDE API.
npm install -g advocu-mcp-server
npx advocu-mcp-server
Edit your Claude Desktop configuration file:
macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
Windows: %APPDATA%/Claude/claude_desktop_config.json
{ "mcpServers": { "activity-reporting": { "command": "advocu-mcp-server", "env": { "ADVOCU_ACCESS_TOKEN": "your_advocu_token_here" } } } }
{ "mcpServers": { "activity-reporting": { "command": "npx", "args": ["-y", "advocu-mcp-server"], "env": { "ADVOCU_ACCESS_TOKEN": "your_advocu_token_here" } } } }
Close and reopen Claude Desktop to load the new configuration.
If you want to contribute or modify the server:
git clone https://github.com/carlosazaustre/advocu-mcp-server.git cd advocu-mcp-server npm install npm run build
Then configure Claude Desktop with the local path:
{ "mcpServers": { "activity-reporting": { "command": "node", "args": ["/absolute/path/to/advocu-mcp-server/dist/index.js"], "env": { "ADVOCU_ACCESS_TOKEN": "your_advocu_token_here" } } } }
Once configured, you'll have access to these tools in Claude:
In Claude, you can use commands like:
"Submit a content creation activity for my blog post about React hooks published on Medium"
"Create a public speaking draft for my presentation at ReactConf 2024"
"Report a mentoring session I had with 3 junior developers about TypeScript"
For detailed information about all available endpoints, parameters, and data formats, see the API Documentation.
npm run dev
npm run build
npm run lint npm run format
The API has a limit of 30 requests per minute. The server automatically handles 429 errors.
advocu-mcp-server/
├── src/
│ ├── index.ts # Entry point
│ ├── server.ts # Main server class
│ ├── interfaces/ # Activity draft interfaces
│ │ ├── ActivityDraftBase.ts
│ │ ├── ContentCreationDraft.ts
│ │ ├── GooglerInteractionDraft.ts
│ │ ├── MentoringDraft.ts
│ │ ├── ProductFeedbackDraft.ts
│ │ ├── PublicSpeakingDraft.ts
│ │ ├── StoryDraft.ts
│ │ └── WorkshopDraft.ts
│ └── types/ # Type definitions
│ ├── ContentType.ts
│ ├── Country.ts
│ ├── EventFormat.ts
│ ├── InteractionFormat.ts
│ ├── InteractionType.ts
│ ├── ProductFeedbackContentType.ts
│ ├── SignificanceType.ts
│ └── Tag.ts
├── dist/ # Compiled output
├── docs/ # Documentation
│ └── API.md
├── package.json
├── tsconfig.json
└── README.md
claude_desktop_config.json
is absolutechmod +x dist/index.js
.env
is correct.env
file exists in the project root.env
filegit checkout -b feature/new-feature
git commit -am 'Add new feature'
git push origin feature/new-feature
MIT License - see LICENSE file for details.