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Scaflog Zoho MCP Server

MCP Server

Store and summarize notes via a simple URI scheme

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Updated Mar 21, 2025

About

The Scaflog Zoho MCP Server offers a lightweight note storage system using a custom note:// URI scheme. It provides tools to add notes and a prompt to generate summaries, making it ideal for quick note management and summarization within MCP workflows.

Capabilities

Resources
Access data sources
Tools
Execute functions
Prompts
Pre-built templates
Sampling
AI model interactions

Overview

The Scaflog Zoho MCP Server is a lightweight Model Context Protocol (MCP) implementation that connects an AI assistant—such as Claude—to a persistent note‑taking backend hosted on Zoho Creator. By exposing notes as first‑class resources, the server turns a simple cloud table into an AI‑friendly knowledge base that can be queried, updated, and summarized on demand. This is particularly useful for developers who want to give an assistant quick access to internal documentation, meeting minutes, or any ad‑hoc text without building a full database layer from scratch.

At its core the server offers three main capabilities:

  • Resources – Each note is represented by a URI that includes a name, description, and plain‑text content. The custom scheme makes it trivial for the assistant to reference a specific note, and the resource metadata allows clients to discover and list all stored notes.
  • Prompts – A single prompt aggregates the text of every note and produces a concise or detailed summary based on an optional argument. This turns raw data into actionable insights, letting the assistant answer “What’s in our knowledge base?” or “Give me a brief recap of recent discussions.”
  • Tools – The tool accepts a name and content, creates a new note record in Zoho Creator, updates the server’s state, and notifies any connected clients. This gives developers a simple API to seed or augment the knowledge base from within their AI workflows.

Because MCP servers run over standard I/O, integration is straightforward: an assistant sends a JSON request, the server processes it, and replies with another JSON object. The leverages this pattern to keep the assistant’s context in sync with a live data store. Developers can embed the server into existing MCP‑enabled toolchains, use it to power chatbots that need real‑time access to internal documents, or expose it as a microservice in larger AI pipelines.

Unique advantages of this implementation include its tight coupling to Zoho Creator, which already offers a secure, scalable backend with built‑in authentication and data validation. The server’s minimal surface area (one prompt, one tool) keeps the integration lightweight while still delivering powerful summarization and dynamic note creation. For teams that rely on Zoho for workflow automation, the MCP server eliminates the need to build a separate API layer—allowing AI assistants to read, write, and summarize notes directly from the same platform that powers their business processes.