Tencent Docs MCP Server for LangChain 10 tools — connect in under 2 minutes
LangChain is the leading Python framework for composable LLM applications. Connect Tencent Docs through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
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({
"tencent-docs": {
"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 Tencent Docs, show me what tools are available.",
}]
})
print(response["messages"][-1].content)
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 Tencent Docs MCP Server
Empower your AI agent to orchestrate your collaborative production with Tencent Docs, the premier office workspace for real-time collaboration. By connecting Tencent Docs to your agent, you transform complex file operations and spreadsheet management into a natural conversation. Your agent can instantly list your documents, create new files, retrieve spreadsheet data, and even monitor collaborators without you ever needing to navigate the web interface. Whether you are managing team reports or complex financial models, your agent acts as a real-time productivity assistant, keeping your workspace organized and your data accessible.
LangChain's ecosystem of 500+ components combines seamlessly with Tencent Docs through native MCP adapters. Connect 10 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
- File Orchestration — List all accessible documents, sheets, and slides across your Tencent Docs account.
- Spreadsheet Control — Retrieve and update values in specific ranges within your sheets with ease.
- Content Access — Retrieve the full text content of your documents for analysis and summarization.
- Collaboration Monitoring — List file collaborators and manage access insights for your team.
- Organization Overview — Access member lists to ensure effective coordination within your organization.
The Tencent Docs MCP Server exposes 10 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 Tencent Docs to LangChain via MCP
Follow these steps to integrate the Tencent Docs 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 10 tools from Tencent Docs via MCP
Why Use LangChain with the Tencent Docs MCP Server
LangChain provides unique advantages when paired with Tencent Docs through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine Tencent Docs 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 Tencent Docs queries for multi-turn workflows
Tencent Docs + LangChain Use Cases
Practical scenarios where LangChain combined with the Tencent Docs MCP Server delivers measurable value.
RAG with live data: combine Tencent Docs tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query Tencent Docs, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain Tencent Docs tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every Tencent Docs tool call, measure latency, and optimize your agent's performance
Tencent Docs MCP Tools for LangChain (10)
These 10 tools become available when you connect Tencent Docs to LangChain via MCP:
create_file
Create a new document
delete_file
Delete a document
get_doc_content
Get document content
get_file_info
Get file metadata
get_org_members
List organization members
get_sheet_data
Read spreadsheet data
list_collaborators
List file collaborators
list_files
List all Tencent Docs files
list_folders
List all folders
update_sheet_data
Update spreadsheet data
Example Prompts for Tencent Docs in LangChain
Ready-to-use prompts you can give your LangChain agent to start working with Tencent Docs immediately.
"List all my documents on Tencent Docs."
"Read the values from 'Inventory!A1:B10' in spreadsheet 'doc-8821'."
"Create a new document titled 'Project Kickoff Notes'."
Troubleshooting Tencent Docs MCP Server with LangChain
Common issues when connecting Tencent Docs to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersTencent Docs + LangChain FAQ
Common questions about integrating Tencent Docs MCP Server with LangChain.
How does LangChain connect to MCP servers?
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?
Can I trace MCP tool calls in LangSmith?
Connect Tencent Docs 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 Tencent Docs to LangChain
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.