This MCP acts as a bridge between AI assistants and Smartsheet data, allowing listing, reading, updating, adding, and searching sheets through a protocol-compliant server. It simplifies integration for automation and data management tasks using Smartsheet's API.
Added on:
Created by:
Apr 03 2025
This MCP acts as a bridge between AI assistants and Smartsheet data, allowing listing, reading, updating, adding, and searching sheets through a protocol-compliant server. It simplifies integration for automation and data management tasks using Smartsheet's API.
Added on:
Created by:
Apr 03 2025
matt
Featured
What is Model Context Protocol server for Smartsheet API integration?
The MCP for Smartsheet provides a comprehensive interface to access and manipulate spreadsheets via an API. It seamless communication with the Smartsheet platform.
Who will use Model Context Protocol server for Smartsheet API integration?
- Developers integrating Smartsheet data with applications
- Data analysts managing spreadsheet content programmatically
- Automation engineers creating workflow solutions
- AI developers building intelligent assistants with sheet interaction capabilities
How to use the Model Context Protocol server for Smartsheet API integration?
- Step1: Install Node.js and dependencies as indicated in the repository
- Step2: Obtain a Smartsheet API token from your account settings
- Step3: Configure the MCP with your API token and necessary settings
- Step4: Run the server using the provided command
- Step5: Use supported tools like listSheets, getSheet, addRow, updateRow, listColumns, searchSheets to interact with Smartsheet data
Model Context Protocol server for Smartsheet API integration's Core Features & Benefits
The Core Features
- List Available Sheets
- Read Sheet Data
- Add Rows to Sheets
- Update Existing Rows
- List Columns
- Search Sheets
The Benefits
- Simplifies integration between AI and Smartsheet
- Automates spreadsheet management tasks
- Enables comprehensive data retrieval and modification
- Supports seamless automation workflows
- Provides standardized API interaction for developers
Model Context Protocol server for Smartsheet API integration's Main Use Cases & Applications
- Automating report generation by pulling data from Smartsheet
- Integrating Smartsheet data into AI workflows for decision making
- Programmatic management of project tracking spreadsheets
- Bulk updating or inserting data in spreadsheets for enterprise processes
FAQs of Model Context Protocol server for Smartsheet API integration
Developer
- mattjhughes
You may also like:
Developer Tools
A desktop application for managing server and client interactions with comprehensive functionalities.
A Model Context Protocol server for Eagle that manages data exchange between Eagle app and data sources.
A chat-based client that integrates and uses various MCP tools directly within a chat environment for enhanced productivity.
A Docker image hosting multiple MCP servers accessible through a unified entry point with supergateway integration.
Provides access to YNAB account balances, transactions, and transaction creation through MCP protocol.
A fast, scalable MCP server for managing real-time multi-client Zerodha trading operations.
A remote SSH client facilitating secure, proxy-based access to MCP servers for remote tool utilization.
A Spring-based MCP server integrating AI capabilities for managing and processing Minecraft mod communication protocols.
A minimalistic MCP client with essential chat features, supporting multiple models and contextual interactions.
A secure MCP server enabling AI agents to interact with Authenticator App for 2FA codes and passwords.
Research And Data
A server implementation supporting Model Context Protocol, integrating CRIC's industrial AI capabilities.
Provides real-time traffic, air quality, weather, and bike-sharing data for Valencia city in a unified platform.
A React application demonstrating integration with Supabase via MCP tools and Tambo for UI component registration.
A MCP client integrating Brave Search API for web searches, utilizing MCP protocol for efficient communication.
A protocol server enabling seamless communication between Umbraco CMS and external applications.
NOL integrates LangChain and Open Router to create a multi-client MCP server using Next.js
Connects LLMs to Firebolt Data Warehouse for autonomous querying, data access, and insight generation.
A client framework for connecting AI agents to MCP servers, enabling tool discovery and integration.
Spring Link facilitates linking and managing multiple Spring Boot applications efficiently within a unified environment.
An open-source client to interact with multiple MCP servers, enabling seamless tool access for Claude.
Cloud Platforms
A Spring-based chatbot for Cloud Foundry that integrates with AI services, MCP, and memGPT for advanced capabilities.
Automates MCP server creation for AWS services using boto3, simplifying server setup for development.
A serverless MCP hosted in AWS Lambda that interacts with AWS Bedrock for AI model processing via API Gateway.
A server-client MCP facilitating communication and data exchange between AI services and storage systems.
Enables interaction with SharePoint Online via REST API, supporting site, list, and user management functions.
A comprehensive suite of containers for efficient microservices deployment and management.
A client and server setup facilitating GitLab SSE communication via a supergateway for real-time updates.
A cross-platform package manager designed to manage all MCP servers efficiently and seamlessly.
A demo project showing how to build an MCP client agent to connect to external services via MCP protocol.
Implements an MCP server and client using FastMCP and LangChain for structured asynchronous communication.