Skip to main content
Glama
pyproject.toml1.04 kB
[project] name = "oura-mcp" version = "0.2.0" description = "Model Context Protocol (MCP) server for Oura Ring API - provides LLMs with access to sleep, activity, readiness, and health data" readme = "README.md" license = { text = "MIT" } requires-python = ">=3.10" dependencies = ["httpx~=0.28", "python-dotenv~=1.2", "fastmcp~=2.13"] keywords = [ "oura", "mcp", "model-context-protocol", "health", "sleep", "fitness", "api", ] classifiers = [ "Development Status :: 4 - Beta", "Intended Audience :: Developers", "License :: OSI Approved :: MIT License", "Programming Language :: Python :: 3", "Programming Language :: Python :: 3.10", "Programming Language :: Python :: 3.11", "Programming Language :: Python :: 3.12", "Topic :: Software Development :: Libraries :: Python Modules", ] [project.scripts] oura-mcp = "oura_mcp.server:main" [build-system] requires = ["hatchling"] build-backend = "hatchling.build" [tool.hatch.build.targets.wheel] packages = ["src/oura_mcp"]

Latest Blog Posts

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/pokidyshev/oura-mcp'

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