MCP State Sidecar Server

An MCP-native state sidecar that externalises workflow state for distributed agent deployments.

Quite a simple idea really; instead of storing state inside agents (which breaks when processes crash, scale horizontally, or span multiple frameworks), agents write to and read from this sidecar over the Model Context Protocol (MCP). The sidecar is itself an MCP server; agents call its tools exactly the same way they call any other tool!

The server itself is built with distributed environments in mind, and natively handles concurrency, crash resilience and atomic claims in addition to being a common interface for state management between agents.

Features

• Durable Key-Value Store: CRUD operations with optional TTL (Time-To-Live).
• Workflow Lifecycle Registry: Centralised coordination (create, claim, checkpoint, and resume) for distributed multi-agent workers without out-of-band communication.
• TTL Leases & Locks: Concurrency control to prevent race conditions and split-brain scenarios.
• Audit Logging & Session Snapshotting: Audit state transitions and persist session contexts.
• Multiple Backends: SQLite (with WAL mode & serialisation) and high-concurrency Redis currently supported.

Installation

Install the package via pip or your favorite Python package manager:

pip install mcp-state-sidecar

If you want to use the Redis backend:

pip install mcp-state-sidecar[redis]

Building from Source

To build and install the package from source:

1. Clone the repository:

   git clone https://github.com/askadvaith/MCP-State-Sidecar.git
   cd MCP-State-Sidecar
   

2. Install build dependencies:

   pip install --upgrade build
   

3. Build the wheel and source distribution:

   python -m build
   

4. Install the package locally:

   pip install dist/mcp_state_sidecar-*.whl
   

   Or install the package in editable mode for active development:

   pip install -e .
   

Quick Start

Running the Server

In a multi-agent distributed environment, you would typically run the state sidecar as an HTTP SSE service so multiple remote agents and clients can connect to it concurrently.

HTTP SSE Mode (Primary for Distributed Environments)

Start the SSE server to listen on a network port:

mcp-state-sidecar-http

By default, the server binds to 0.0.0.0 and listens on port 8000. The MCP endpoint is available at http://localhost:8000/mcp.

Stdio Mode (For Subprocess / Local Agent Execution)

Launch the server via standard input/output:

mcp-state-sidecar

Configuration

The server is configured entirely using environment variables:

Tool Reference

Group 1 — Key-Value Store

• state_set(key, value, ttl_seconds?, agent_id?): Upsert a JSON-serialisable value with optional TTL.
• state_get(key): Retrieve a value (returns found=False if missing or expired).
• state_delete(key): Delete a key.
• `state_list(pref

... View full README on GitHub