erickwendel-contributions-mcp

erickwendel-contributions-mcp

By ErickWendel GitHub

A Model Context Protocol (MCP) server that provides tools to query Erick Wendel's contributions across different platforms

graphql large-language-models
Overview

What is Erick Wendel Contributions?

Erick Wendel Contributions is a Model Context Protocol (MCP) server that provides tools to query Erick Wendel's contributions across various platforms, including talks, blog posts, and videos using natural language.

How to use Erick Wendel Contributions?

To use this project, clone the repository from GitHub, install the dependencies, and run the server. You can then interact with the API using tools like Claude or Cursor to query contributions.

Key features of Erick Wendel Contributions?

  • Built with Model Context Protocol (MCP)
  • Type-safe with TypeScript and Zod schema validation
  • Native TypeScript support in Node.js without transpilation
  • Generated SDK using GenQL
  • Modular architecture with separation of concerns
  • Standard I/O transport for easy integration
  • Structured error handling
  • Compatible with various AI tools like Claude Desktop and MCPHost.

Use cases of Erick Wendel Contributions?

  1. Querying the number of talks given in a specific year.
  2. Retrieving posts about specific topics like WebXR.
  3. Finding videos related to certain subjects.

FAQ from Erick Wendel Contributions?

  • How can I install the server?

You can install it by cloning the repository and following the setup instructions provided in the documentation.

  • Is there a free alternative to use this project?

Yes! You can use MCPHost as a free alternative to interact with the MCP server.

  • What programming language is used?

The project is built using TypeScript.

Content

erickwendel-contributions-mcp

CI Status smithery badge

A Model Context Protocol (MCP) server that provides tools to query Erick Wendel's contributions across different platforms. Query talks, blog posts, and videos using natural language through Claude, Cursor or similars. This project was built using Cursor IDE with the default agent (trial version).

This MCP server is also available on Smithery for direct integration.

Available Tools

This MCP server provides the following tools to interact with the API:

  • get-talks: Retrieves a paginated list of talks with optional filtering

    • Supports filtering by ID, title, language, city, country, and year
    • Can return counts grouped by language, country, or city
  • get-posts: Fetches posts with optional filtering and pagination

    • Supports filtering by ID, title, language, and portal
  • get-videos: Retrieves videos with optional filtering and pagination

    • Supports filtering by ID, title, and language
  • check-status: Verifies if the API is alive and responding

Integration with AI Tools

Inspect MCP Server Capabilities

You can inspect this MCP server's capabilities using Smithery:

npx -y @smithery/cli@latest inspect @ErickWendel/erickwendel-contributions-mcp

This will show you all available tools, their parameters, and how to use them.

Setup

  1. Make sure you're using Node.js v23+
node -v
#v23.9.0
  1. Clone this repository:
git clone https://github.com/erickwendel/erickwendel-contributions-mcp.git
cd erickwendel-contributions-mcp
  1. Restore dependencies:
npm ci

Integration with AI Tools

Cursor Setup

  1. Open Cursor Settings

  2. Navigate to MCP section

  3. Click "Add new MCP server"

  4. Configure the server:

    Name = erickwendel-contributions
    Type = command
    Command = node ABSOLUTE_PATH_TO_PROJECT/src/index.ts
    

    or if you prefer executing it from Smithery

    Name = erickwendel-contributions
    Type = command
    Command = npm exec -- @smithery/cli@latest run @ErickWendel/erickwendel-contributions-mcp
    

or configure directly from the Cursor's global MCP file located in ~/.cursor/mcp.json and add the following:

{
  "mcpServers": {
    "erickwendel-contributions": {
      "command": "node",
      "args": ["ABSOLUTE_PATH_TO_PROJECT/src/index.ts"]
    }
  }
}

or if you prefer executing it from Smithery

{
  "mcpServers": {
    "erickwendel-contributions": {
      "command": "npm",
      "args": [
        "exec",
        "--",
        "@smithery/cli@latest",
        "run",
        "@ErickWendel/erickwendel-contributions-mcp"
      ]
    }
  }
}
  1. Make sure Cursor chat is in Agent mode by selecting "Agent" in the lower left side dropdown

  2. Go to the chat an ask "how many videos were published about JavaScript in 2024"

Claude Desktop Setup

Installing via Smithery

To install Erick Wendel Contributions for Claude Desktop automatically via Smithery:

npx -y @smithery/cli install @ErickWendel/erickwendel-contributions-mcp --client claude

Note: The Smithery CLI installation for Claude is currently experiencing issues. Please use the manual installation method below until this is resolved.

Manual Setup

  1. Go to Claude settings
  2. Click in the Developer tab
  3. Click in edit config
  4. Open the config in a code editor
  5. Add the following configuration to your Claude Desktop config:
{
  "mcpServers": {
    "erickwendel-contributions": {
      "command": "node",
      "args": ["ABSOLUTE_PATH_TO_PROJECT/src/index.ts"]
    }
  }
}

or if you prefer executing it from Smithery

{
  "mcpServers": {
    "erickwendel-contributions": {
      "command": "npm",
      "args": [
        "exec",
        "--",
        "@smithery/cli@latest",
        "run",
        "@ErickWendel/erickwendel-contributions-mcp"
      ]
    }
  }
}
  1. Save file and Restart Claude Desktop
  2. Open the Developer tab again and check if it's in the "running" state as follows:

  1. Go to the chat and ask "Are there videos about RAG?"

Free Alternative Using MCPHost

If you don't have access to Claude Desktop nor Cursor, you can use MCPHost with Ollama as a free alternative. MCPHost is a CLI tool that enables Large Language Models to interact with MCP servers.

  1. Install MCPHost:
go install github.com/mark3labs/mcphost@latest
  1. Create a config file (e.g. ./mcp.jsonc):
{
  "mcpServers": {
    "erickwendel-contributions": {
      "command": "node",
      "args": ["ABSOLUTE_PATH_TO_PROJECT/src/index.ts"]
    }
  }
}

or if you prefer executing it from Smithery

{
  "mcpServers": {
    "erickwendel-contributions": {
      "command": "npm",
      "args": [
        "exec",
        "--",
        "@smithery/cli@latest",
        "run",
        "@ErickWendel/erickwendel-contributions-mcp"
      ]
    }
  }
}
  1. Run MCPHost with your preferred Ollama model:
ollama pull MODEL_NAME
mcphost --config ./mcp.jsonc -m ollama:MODEL_NAME

Example Queries

Here are some examples of queries you can ask Claude, Cursor or any MCP Client:

  1. "How many talks were given in 2023?"

  1. "Show me talks in Spanish"

  1. "Find posts about WebXR"

Development

Features

  • Built with Model Context Protocol (MCP)
  • Type-safe with TypeScript and Zod schema validation
  • Native TypeScript support in Node.js without transpilation
  • Generated SDK using GenQL
  • Modular architecture with separation of concerns
  • Standard I/O transport for easy integration
  • Structured error handling
  • Compatible with Claude Desktop, Cursor, and MCPHost (free alternative)

Note: This project requires Node.js v23+ as it uses the native TypeScript support added in the last year.

Architecture

The codebase follows a modular structure:

src/
  ├── config/      # Configuration settings
  ├── types/       # TypeScript interfaces and types
  ├── tools/       # MCP tool implementations
  ├── utils/       # Utility functions
  ├── services/    # API service layer
  └── index.ts     # Main entry point

Testing

To run the test suite:

npm test

For development mode with watch:

npm run test:dev

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

Author

Erick Wendel

License

This project is licensed under the MIT License - see the LICENSE file for details.

No tools information available.

MCP Client and Server apps to demo integration of Azure OpenAI-based AI agent with a Data Warehouse, exposed through GraphQL in Microsoft Fabric.

graphql agent
View Details