How do I securely obtain my Quip Access Token?

Sign in to your Quip account. Navigate to your API token generator page (usually at `platform.quip.com` or via Quip's Developer Settings). Generate a **Personal Access Token**, copy the string, and securely save it in the configuration fields below.

Can I provide a Quip document URL to my AI, or just the ID?

You can provide the standard URL. The agent is capable of recognizing the URL structure, extracting the alphanumeric `thread_id`, and performing the operation accurately.

Can it read embedded images or files inside the document?

The agent detects their existence by reading the raw structure and uses `list_blobs` to catalog attachments. However, downloading the actual files depends on your client's supported capabilities.

Is the edit operation destructive?

The `edit_document` function uses Quip's native append logic to add new HTML blocks at the end of the document, mitigating complete overwrites. Additionally, Quip maintains a full version history allowing rollbacks if necessary.

Quip MCP Server for LangChain 12 tools — connect in under 2 minutes

Name: Quip
Availability: InStock
Author: Vinkius

python.langchain.com/docs/integrations/tools/mcp

Built by Vinkius GDPR 12 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect Quip through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MultiServerMCPClient({
        "quip": {
            "transport": "streamable_http",
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
        }
    }) as client:
        tools = client.get_tools()
        agent = create_react_agent(
            ChatOpenAI(model="gpt-4o"),
            tools,
        )
        response = await agent.ainvoke({
            "messages": [{
                "role": "user",
                "content": "Using Quip, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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.

LangChain's ecosystem of 500+ components combines seamlessly with Quip through native MCP adapters. Connect 12 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.

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 LangChain 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 LangChain via MCP

Follow these steps to integrate the Quip MCP Server with LangChain.

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save the code and run python agent.py

Explore tools

The agent discovers 12 tools from Quip via MCP

Why Use LangChain with the Quip MCP Server

LangChain provides unique advantages when paired with Quip through the Model Context Protocol.

The largest ecosystem of integrations, chains, and agents. combine Quip MCP tools with 500+ LangChain components

Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step

LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging

Memory and conversation persistence let agents maintain context across Quip queries for multi-turn workflows

Quip + LangChain Use Cases

Practical scenarios where LangChain combined with the Quip MCP Server delivers measurable value.

RAG with live data: combine Quip tool results with vector store retrievals for answers grounded in both real-time and historical data

Autonomous research agents: LangChain agents query Quip, synthesize findings, and generate comprehensive research reports

Multi-tool orchestration: chain Quip tools with web scrapers, databases, and calculators in a single agent run

Production monitoring: use LangSmith to trace every Quip tool call, measure latency, and optimize your agent's performance

Quip MCP Tools for LangChain (12)

These 12 tools become available when you connect Quip to LangChain 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 LangChain

Ready-to-use prompts you can give your LangChain 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 LangChain

Common issues when connecting Quip to LangChain through the Vinkius, and how to resolve them.

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Quip + LangChain FAQ

Common questions about integrating Quip MCP Server with LangChain.

How does LangChain connect to MCP servers?

Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.

Which LangChain agent types work with MCP?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.