Statelessmcp
What is Statelessmcp
StatelessMCP is an experimental, stateless implementation of the Model Context Protocol (MCP) designed for serverless environments, focusing on simplifying AI agent integration with tools and APIs.
Use cases
Use cases for StatelessMCP include integrating AI agents with various APIs in serverless architectures, developing scalable AI solutions, and experimenting with new AI integration methodologies.
How to use
To use StatelessMCP, developers can start by accessing the initial Proof of Concept (POC) version, which will be released soon. Contributions and feedback from the community are encouraged to refine the project.
Key features
Key features of StatelessMCP include stateless design for lightweight integration, compatibility with REST APIs for data integration, and scalability for serverless environments, reducing overhead and complexity.
Where to use
StatelessMCP is ideal for serverless applications, AI agent integrations, and environments where lightweight and scalable solutions are required.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Overview
What is Statelessmcp
StatelessMCP is an experimental, stateless implementation of the Model Context Protocol (MCP) designed for serverless environments, focusing on simplifying AI agent integration with tools and APIs.
Use cases
Use cases for StatelessMCP include integrating AI agents with various APIs in serverless architectures, developing scalable AI solutions, and experimenting with new AI integration methodologies.
How to use
To use StatelessMCP, developers can start by accessing the initial Proof of Concept (POC) version, which will be released soon. Contributions and feedback from the community are encouraged to refine the project.
Key features
Key features of StatelessMCP include stateless design for lightweight integration, compatibility with REST APIs for data integration, and scalability for serverless environments, reducing overhead and complexity.
Where to use
StatelessMCP is ideal for serverless applications, AI agent integrations, and environments where lightweight and scalable solutions are required.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Content
StatelessMCP 🧩
An experimental, stateless approach to AI agent integration for serverless environments.
StatelessMCP is an open-source exploration into simplifying how AI agents interact with tools and APIs. By focusing on stateless design and compatibility with REST APIs, this project aims to make AI agent integration more lightweight, scalable, and serverless-friendly.
Why StatelessMCP?
- Exploration: This project is an experiment to see if a stateless deployment of MCP is viable, especially in light of the recent wide adoption of this Protocol.
- Compatibility: Designed to work with REST APIs, the industry standard for data integration.
- Scalability: Built for serverless environments, reducing overhead and complexity.
Goals
- Experiment: Explore whether a stateless, serverless-friendly approach to AI agent integration is feasible and useful.
- Scale: Once we validate the need for this project, next features will depend on community suggestions.
Getting Started
The initial Proof of Concept (POC) version of StatelessMCP will be released by the end of this month. This is an experimental release to gather feedback and validate the approach.
Contributor Guide
We welcome contributions from the community! Whether you’re a developer, designer, or AI enthusiast, there’s a place for you in this project.
For now let’s use github’s discussion feature for now and once I publish the POC we’ll setup an into call and slack or discord community.
Note from the Maintainer
Hi everyone! 👋
This project is an experiment to explore whether a stateless, serverless-friendly approach to AI agent integration is viable. I’m currently juggling a few other projects, so my time is a bit limited. However, I’m committed to releasing the initial POC by the end of this month. Your patience, feedback, and support mean a lot, and I’m excited to collaborate with all of you to see where this goes!
Roadmap
- v0.1 (POC): Initial experimental release with basic stateless implementation (end of this month).
- v0.2: Gather feedback and iterate on the design.
- v0.3: Explore integration with serverless platforms (e.g., AWS Lambda, Google Cloud Functions) and publish documentation.
- v1.0: If validated, release a stable version based on community feedback.
License
This project is licensed under the MIT License. See LICENSE for details.
Dev Tools Supporting MCP
The following are the main code editors that support the Model Context Protocol. Click the link to visit the official website for more information.
