Skip to main content
Glama

Parliament MCP Server

by i-dot-ai
Dockerfile.lambda595 B
# Use the official AWS Lambda Python base image FROM public.ecr.aws/lambda/python:3.12 # Set the working directory WORKDIR ${LAMBDA_TASK_ROOT} # Set environment variables ENV PYTHONDONTWRITEBYTECODE=1 ENV PYTHONUNBUFFERED=1 ENV COLUMNS=120 # Install uv RUN pip install uv # Copy the dependency definition files COPY uv.lock pyproject.toml ./ COPY ./parliament_mcp ./parliament_mcp # Install the dependencies to system Python RUN uv pip install --system -r <(uv export --format requirements-txt --no-dev) # Set the command to run the handler CMD [ "parliament_mcp.lambda_handler.handler" ]

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/i-dot-ai/parliament-mcp'

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