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bug-breeder/quip-mcp

by Various

A Model Context Protocol (MCP) server that provides AI assistants with access to Quip documents

B

MCP

bug-breeder/quip-mcp

Added 1 June 2026

#golang #mcp #mcp-server #model-context-protocol #quip

Overview

A Model Context Protocol (MCP) server written in Go that enables AI assistants to access and interact with Quip documents. It implements the MCP standard to bridge AI tools with Quip's document storage and collaboration features.

Best for

Best for
Developers who need a minimal, protocol-based bridge between AI assistants and Quip documents

Use cases

  • Connecting an AI coding assistant to read Quip documentation during development
  • Building a chatbot that retrieves meeting notes or project specs from Quip
  • Automating document summarization or search across Quip workspaces

Notes

A Model Context Protocol (MCP) server written in Go that enables AI assistants to access and interact with Quip documents. It implements the MCP standard to bridge AI tools with Quip’s document storage and collaboration features.

1 stars on GitHub. Last updated 2025-08-18. Licensed MIT.

Use cases

  • Connecting an AI coding assistant to read Quip documentation during development
  • Building a chatbot that retrieves meeting notes or project specs from Quip
  • Automating document summarization or search across Quip workspaces

Pros

  • Open source and written in Go, making it lightweight and easy to deploy
  • Follows the Model Context Protocol, allowing integration with any MCP-compatible AI assistant
  • Simple codebase that can be extended or customized for specific Quip workflows

Cons

  • Very early stage with only 1 star on GitHub, indicating limited adoption and testing
  • No documented support for Quip authentication or advanced features like document editing
  • Lacks a community or usage examples, making troubleshooting potentially difficult

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.

Pros

  • Open source and written in Go, making it lightweight and easy to deploy
  • Follows the Model Context Protocol, allowing integration with any MCP-compatible AI assistant
  • Simple codebase that can be extended or customized for specific Quip workflows

Cons

  • Very early stage with only 1 star on GitHub, indicating limited adoption and testing
  • No documented support for Quip authentication or advanced features like document editing
  • Lacks a community or usage examples, making troubleshooting potentially difficult
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