Shelbymcp

Shelbymcp

Local, durable memory and context server for AI agents.

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About Shelbymcp

ShelbyMCP is a local, Rust-based Model Context Protocol (MCP) server that provides long-term, project-aware knowledge-graph memory for AI agents. Designed to work with multiple MCP-compatible clients (such as ChatGPT, Claude, and Gemini), it offers durable, searchable, and structured memory stored in a local SQLite database, featuring graph traversal, scoped context briefing, and trust fencing. The system performs no model inference, ensuring privacy and agent-driven operations, and exposes an HTTP+OAuth interface for integration and secure access. ShelbyMCP is suitable for developers building AI and agentic applications that require rich, persistent memory and context management locally.

Pricing Plans
Open Source
$0

Resources

Product Website

Visit Shelbymcp's official website for product details and getting started.

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Documentation

Comprehensive documentation for installing and using ShelbyMCP.

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GitHub Issues

Community discussions and issue tracking for ShelbyMCP.

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Examples

Code examples and usage scenarios for implementing ShelbyMCP in projects.

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Documentation

Comprehensive API reference and usage instructions for ShelbyMCP.

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Example Usage

Guide on setting up and using ShelbyMCP with various clients.

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