Pieces MCP Net

Overview

Pieces MCP Net is a lightweight, C#‑based Model Context Protocol (MCP) server that bridges Claude and other AI assistants with Pieces Long‑Term Memory (LTM). By exposing a single, easy‑to‑deploy binary, the server allows developers to tap into the last seven days of user interactions stored in Pieces. This integration gives AI assistants contextual awareness of recent conversations, meeting the growing demand for memory‑augmented chatbots that can reference prior dialogue without requiring custom database plumbing.

The server solves the problem of short‑term context limitations that many generative models face. Traditional chat systems reset after each session, forcing users to repeat information or rely on external logs. Pieces MCP Net keeps a concise, searchable snapshot of recent exchanges and delivers them on demand through the MCP protocol. Developers can thus build assistants that remember user preferences, track task progress, or maintain continuity across disjointed sessions—all without sacrificing performance.

Key capabilities are presented in plain language:

• Time‑bounded retrieval – automatically filters Pieces LTM data to the past seven days, ensuring relevance while respecting privacy.
• One‑liner invocation – a single MCP tool that can be called with , making it trivial to embed in prompts.
• Self‑contained binary – compiled as a single executable, simplifying deployment on any .NET 9 environment.
• Seamless Claude integration – a ready‑made configuration snippet lets the tool register with Claude for Desktop, enabling immediate use.

Real‑world scenarios include customer support bots that remember a user’s recent ticket history, personal assistants that track daily tasks, or educational tutors that recall previous lessons. In each case, the MCP server delivers context on demand, reducing hallucinations and improving response relevance.

Because it is built on the Pieces SDK, developers benefit from robust, secure storage and efficient querying. The hard‑coded seven‑day window can be extended or made configurable, giving teams flexibility to balance memory depth against latency. Overall, Pieces MCP Net provides a plug‑and‑play solution that enhances AI workflows by giving assistants a short‑term, reliable memory layer without added infrastructure complexity.