Quip MCP Server for LlamaIndex 12 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Quip as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
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Vinkius supports streamable HTTP and SSE.
import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
mcp_tool_spec = McpToolSpec(client=mcp_client)
tools = await mcp_tool_spec.to_tool_list_async()
agent = FunctionAgent(
tools=tools,
llm=OpenAI(model="gpt-4o"),
system_prompt=(
"You are an assistant with access to Quip. "
"You have 12 tools available."
),
)
response = await agent.run(
"What tools are available in Quip?"
)
print(response)
asyncio.run(main())
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About Quip MCP Server
Integrate your Quip (Salesforce) account with any AI agent to bring your real-time collaborative documents, spreadsheets, and team discussions directly into your workflow.
LlamaIndex agents combine Quip tool responses with indexed documents for comprehensive, grounded answers. Connect 12 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.
What you can do
- Document Search — Perform full-text searches across all your accessible Quip documents, or fetch recently accessed threads to resume your work.
- Read & Retrieve — Navigate the folder hierarchy and retrieve full content, extracting documentation, plans, and metadata without leaving your IDE.
- Review Conversations — Check document-attached messages to stay up-to-date on feedback and team discussions.
- Edit & Append — Programmatically update documents by passing HTML payloads back to specific Quip threads.
The Quip MCP Server exposes 12 tools through the Vinkius. Connect it to LlamaIndex in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect Quip to LlamaIndex via MCP
Follow these steps to integrate the Quip MCP Server with LlamaIndex.
Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.py and run: python agent.py
Explore tools
The agent discovers 12 tools from Quip
Why Use LlamaIndex with the Quip MCP Server
LlamaIndex provides unique advantages when paired with Quip through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Quip tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Quip tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Quip, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Quip tools were called, what data was returned, and how it influenced the final answer
Quip + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Quip MCP Server delivers measurable value.
Hybrid search: combine Quip real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Quip to augment indexed data with live information before generating user-facing responses
Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Quip for fresh data
Analytical workflows: chain Quip queries with LlamaIndex's data connectors to build multi-source analytical reports
Quip MCP Tools for LlamaIndex (12)
These 12 tools become available when you connect Quip to LlamaIndex via MCP:
edit_document
You must provide HTML content. Edits content in a Quip document
get_contacts
Lists all collaborators of the authenticated user
get_current_user
Retrieves the authenticated user profile
get_folder
Retrieves details for a specific Quip folder
get_folders
Provide a comma-separated list of IDs. Batch-fetches multiple Quip folders by their IDs
get_messages
Lists chat messages or comments attached to a thread
get_recent_threads
Retrieves recently viewed or edited documents
get_thread
Retrieves a single Quip document or thread by ID
get_threads
Provide a comma-separated list of IDs. Batch-fetches multiple Quip threads by their IDs
get_user
Retrieves profile information for a specific user
list_blobs
Lists embedded files and images in a thread
search_threads
Performs a full-text search across accessible Quip documents
Example Prompts for Quip in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Quip immediately.
"Search Quip for documents containing 'Q3 Roadmap'."
"What documents did I work on recently in Quip?"
"Add a new heading called 'Conclusion' and a paragraph 'All tests passed' to document ABC123DEF."
Troubleshooting Quip MCP Server with LlamaIndex
Common issues when connecting Quip to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpQuip + LlamaIndex FAQ
Common questions about integrating Quip MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
Connect Quip with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Quip to LlamaIndex
Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.