Stitch AI MCP Server

Overview

Stitch AI’s MCP server is a decentralized knowledge hub that gives AI assistants a structured way to create, retrieve, and manage persistent memories. By exposing a set of memory‑centric tools over the Model Context Protocol, it solves the long‑standing problem of stateful AI interactions—enabling agents to remember past conversations, store domain knowledge, and retrieve relevant context on demand. Developers can therefore build assistants that feel more coherent, personalized, and capable of handling complex workflows without re‑parsing every prompt.

The server’s core value lies in its memory space abstraction. A space is a logical container that can be typed (e.g., user‑specific, project‑based, or domain‑specific). Within a space, memories are stored as key–value pairs with metadata. The available tools—, , , , , and —provide CRUD operations that are straightforward to invoke from any MCP‑enabled client. This simplicity allows developers to integrate memory management into existing pipelines without learning a new SDK or database schema.

Key capabilities include:

• Fine‑grained retrieval: Filter memories by name, limit results, and paginate with offset, which is essential for large knowledge bases.
• Declarative space management: Create or delete spaces on the fly, enabling dynamic segmentation of knowledge (e.g., per user session).
• Metadata‑driven queries: Although not explicitly shown in the README, the design supports attaching metadata to memories, allowing advanced filtering and versioning.

Typical use cases are abundant. A customer‑support bot can store ticket histories in a dedicated space, while a research assistant might keep literature summaries in another. A project‑management AI could persist task lists, meeting notes, and decisions across sessions, ensuring continuity even when the user switches devices. Because the server communicates over MCP, any client—Claude Desktop, web UI, or custom integration—can tap into the same memory store, fostering consistency across tools.

Stitch AI’s MCP server stands out by combining decentralization (no single point of failure) with a lightweight, API‑first interface. Its straightforward toolset removes the overhead of setting up complex databases, while still offering the flexibility needed for real‑world AI workflows. For developers looking to add durable context to their assistants, this server delivers a plug‑and‑play solution that scales from simple prototypes to production deployments.