Skip to main content
Glama

Expert Registry MCP Server

by agentience
Dockerfile.simple1.19 kB
# Simple Dockerfile for testing the Expert Registry MCP Server FROM python:3.11-slim # Set environment variables ENV PYTHONDONTWRITEBYTECODE=1 \ PYTHONUNBUFFERED=1 \ EXPERT_SYSTEM_PATH=/app/expert-system # Install system dependencies RUN apt-get update && apt-get install -y \ curl \ build-essential \ && rm -rf /var/lib/apt/lists/* # Set work directory WORKDIR /app # Copy and install dependencies COPY pyproject.toml README.md ./ COPY src/ ./src/ # Install dependencies and the package RUN pip install --upgrade pip RUN pip install -e . # Create directories for expert system data RUN mkdir -p /app/expert-system/registry \ /app/expert-system/expert-contexts \ /app/expert-system/vector-db \ /app/chroma_db # Copy default expert system files COPY expert-system/ /app/expert-system/ # Create non-root user RUN groupadd -r mcp && useradd -r -g mcp -s /bin/bash mcp && \ chown -R mcp:mcp /app # Switch to non-root user USER mcp # Test that imports work RUN python -c "from expert_registry_mcp.server import ExpertRegistryServer; print('✓ Server import successful')" # Default command CMD ["expert-registry-mcp"]

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/agentience/expert-registry-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server