We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/teabranch/agentic-developer-mcp'
If you have feedback or need assistance with the MCP directory API, please join our Discord server
Dockerfile•901 B
FROM python:3.11-slim
WORKDIR /app
# Install system dependencies including Node.js for Codex CLI and uv
RUN apt-get update && apt-get install -y \
curl \
git \
&& curl -fsSL https://deb.nodesource.com/setup_20.x | bash - \
&& apt-get install -y nodejs \
&& rm -rf /var/lib/apt/lists/*
# Install uv
RUN pip install uv
# Install Codex CLI globally
RUN npm install -g @openai/codex
# Copy Python requirements and install
# Copy src and all folders and files in it
COPY src ./src/
RUN cd src && uv pip install --system -e .
# Copy application code
COPY . .
# Expose port for MCP server with running port from 8080 to 8180
ARG MCP_PORT=8180
ENV MCP_PORT=${MCP_PORT}
EXPOSE ${MCP_PORT}
# Start the Python MCP server using uv with SSE transport on the specified port
CMD ["/bin/bash", "-c", "uv run python -m mcp_server.server --transport http --host 0.0.0.0 --port ${MCP_PORT}"]