MCPInstall
mcp_vocabulary_service logo

mcp_vocabulary_service

by LA3D 1 stars LA3D/mcp_vocabulary_service

Vocabulary Service using Model Context Protocol (MCP)

READMEmain

Earth616 MCP Vocabulary Service

A Model Context Protocol (MCP) server for accessing the Earth616 Defense Supply Chain and Documentation Ontology (DSCDO).

Quick Start

Option 1: Local Development

  1. Build the service:

    npm install
    npm run build
    
  2. Test the service locally:

    # Test that it starts up
    node dist/index.js
    # Should output: "Earth616 MCP Vocabulary Server running on stdio"
    # Press Ctrl+C to exit
    

Option 2: Docker Development (Recommended)

  1. Start the full stack:

    npm run docker:up
    

    This starts:

    • Nginx server on port 8080 (serving example ontology files)
    • MCP vocabulary service (connected to nginx)
  2. Test the stack:

    # Test ontology server
    curl http://localhost:8080/health
    
    # View example files
    curl http://localhost:8080/example/
    
  3. View logs:

    npm run docker:logs
    
  4. Stop the stack:

    npm run docker:down
    
  5. Connect to Claude Desktop:

    Copy the configuration from claude_desktop_config.json to your Claude Desktop configuration file:

    • Mac: ~/Library/Application Support/Claude/claude_desktop_config.json
    • Windows: %APPDATA%\Claude\claude_desktop_config.json

    Or merge with existing config:

    {
      "mcpServers": {
        "earth616-vocab": {
          "command": "node",
          "args": ["/full/path/to/earth616_mcp_vocab_service/dist/index.js"],
          "env": {
            "NODE_ENV": "development"
          }
        }
      }
    }
    
  6. Test in Claude Desktop:

    After restarting Claude Desktop, you should be able to use these tools:

    • hello_vocab - Simple test tool
    • get_ontology_info - Basic ontology information
    • test_ontology_server - Test connectivity to the ontology file server
    • list_example_files - List available example files

Current Status

This is a minimal MCP server with Docker integration. Available tools:

  • hello_vocab: Echo back a message (testing connectivity)
  • get_ontology_info: Get basic information about the Earth616 ontology
  • test_ontology_server: Test connectivity to the ontology file server
  • list_example_files: List available example ontology files

The Docker setup provides:

  • nginx: Serves ontology files with proper content types
  • MCP service: Connects to nginx and provides vocabulary access
  • Health checks: /health endpoint for service monitoring

Next Steps

Following the iterative approach outlined in VOCAB_SERVICE_PLAN.md, we'll gradually add:

  1. File-based vocabulary term lookup
  2. URI resolution capabilities
  3. W3C PROF Profile navigation
  4. Complete vocabulary dataset access
  5. Cross-layer navigation tools

Development

Local Development

  • npm run dev - Watch mode for development
  • npm run build - Build TypeScript
  • npm start - Run the built server

Docker Development

  • npm run docker:build - Build Docker image
  • npm run docker:up - Start full stack (detached)
  • npm run docker:down - Stop full stack
  • npm run docker:logs - View MCP service logs
  • npm run docker:test - Quick health check test

Development Workflow

  1. Make changes to src/index.ts
  2. npm run docker:up to test with full stack
  3. Use Claude Desktop tools to test functionality
  4. npm run docker:logs to debug issues
  5. npm run docker:down when done

The server runs on stdio and communicates with Claude Desktop via the MCP protocol. The Docker setup simulates the full production environment locally.

More Knowledge & Memory MCP servers

Similar servers from the same category.

Supermemory

supermemoryai

Personal knowledge platform that helps collect, organize, and recall information from various sources with end-to-end encryption and optional self-hosting.

Knowledge & Memory

Provides a bridge to the Arc Memory Temporal Knowledge Graph, enabling structured access to repository history, entity relationships, and code provenance without manual navigation of complex codebases.

Knowledge & Memory

Unstructured API

unstructured-io

Integrates with the Unstructured API to enable document processing operations including managing connectors and workflows for extracting structured information from documents without switching tools.

data

Cognee

topoteretes

AI-friendly database and knowledge-management capabilities via various database schemes.

database