How do I find my Tencent Cloud SecretId and SecretKey?

Log in to the [Tencent Cloud Console](https://console.cloud.tencent.com/), navigate to [Access Management] -> [API Key Management] to find or generate your unique SecretId and SecretKey.

An EnvId is the unique identifier for a specific CloudBase environment (e.g., development or production). You can find it in the TCB Environment Overview section of the console.

Does this server handle TC3-HMAC-SHA256 signatures?

Yes! The server automatically calculates the required Signature V3 (TC3-HMAC-SHA256) for every request using your provided SecretKey, ensuring high security for your serverless backend orchestration.

Tencent CloudBase / 腾讯云开发 TCB MCP Server for LangChain 8 tools — connect in under 2 minutes

Name: Tencent CloudBase / 腾讯云开发 TCB
Availability: InStock
Author: Vinkius

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

Built by Vinkius GDPR 8 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect Tencent CloudBase / 腾讯云开发 TCB through the 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({
        "tencent-cloudbase-tcb": {
            "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 CloudBase / 腾讯云开发 TCB, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())

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* 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 CloudBase / 腾讯云开发 TCB MCP Server

Empower your AI agent to orchestrate your serverless infrastructure and backend resources with Tencent CloudBase (云开发), the premier BaaS platform in China. By connecting TCB to your agent, you transform complex cloud function management, database auditing, and storage orchestration into a natural conversation. Your agent can instantly retrieve function lists, invoke cloud logic with custom data, query NoSQL collections, and monitor environment quotas without you ever needing to navigate the comprehensive Tencent Cloud Console. Whether you are managing miniapp backends or coordinating high-volume digital automation, your agent acts as a real-time serverless operations assistant, providing accurate results from a single, authorized source.

LangChain's ecosystem of 500+ components combines seamlessly with Tencent CloudBase / 腾讯云开发 TCB through native MCP adapters. Connect 8 tools via the 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

Function Orchestration — List cloud functions, retrieve detailed metadata, and invoke logic directly through the agent.
Database Auditing — List database collections and execute complex queries on your cloud NoSQL data.
Storage Management — List and audit storage buckets and monitor file resources within your environment.
User Management — Retrieve lists of authenticated users registered in your TCB environment.
Operational Monitoring — Verify project connectivity, active regions, and monitor free quota usage to ensure stability.

The Tencent CloudBase / 腾讯云开发 TCB MCP Server exposes 8 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 CloudBase / 腾讯云开发 TCB to LangChain via MCP

Follow these steps to integrate the Tencent CloudBase / 腾讯云开发 TCB 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 8 tools from Tencent CloudBase / 腾讯云开发 TCB via MCP

Why Use LangChain with the Tencent CloudBase / 腾讯云开发 TCB MCP Server

LangChain provides unique advantages when paired with Tencent CloudBase / 腾讯云开发 TCB through the Model Context Protocol.

The largest ecosystem of integrations, chains, and agents — combine Tencent CloudBase / 腾讯云开发 TCB 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 CloudBase / 腾讯云开发 TCB queries for multi-turn workflows

Tencent CloudBase / 腾讯云开发 TCB + LangChain Use Cases

Practical scenarios where LangChain combined with the Tencent CloudBase / 腾讯云开发 TCB MCP Server delivers measurable value.

RAG with live data: combine Tencent CloudBase / 腾讯云开发 TCB tool results with vector store retrievals for answers grounded in both real-time and historical data

Autonomous research agents: LangChain agents query Tencent CloudBase / 腾讯云开发 TCB, synthesize findings, and generate comprehensive research reports

Multi-tool orchestration: chain Tencent CloudBase / 腾讯云开发 TCB tools with web scrapers, databases, and calculators in a single agent run

Production monitoring: use LangSmith to trace every Tencent CloudBase / 腾讯云开发 TCB tool call, measure latency, and optimize your agent's performance

Tencent CloudBase / 腾讯云开发 TCB MCP Tools for LangChain (8)

These 8 tools become available when you connect Tencent CloudBase / 腾讯云开发 TCB to LangChain via MCP:

get_environment_info

Get TCB environment details

get_function_metadata

Get function details

invoke_cloud_function

Trigger cloud function

list_auth_users

List authenticated users

list_cloud_functions

List cloud functions

list_collections

List database collections

list_tcb_buckets

List storage buckets

query_cloud_db

Query cloud database

Example Prompts for Tencent CloudBase / 腾讯云开发 TCB in LangChain

Ready-to-use prompts you can give your LangChain agent to start working with Tencent CloudBase / 腾讯云开发 TCB immediately.

"List all cloud functions in our 'prod-8821' environment."

"Query the 'Users' collection for all documents where 'status' is 'active'."

"Show me the configuration and quota usage for our TCB environment."

Troubleshooting Tencent CloudBase / 腾讯云开发 TCB MCP Server with LangChain

Common issues when connecting Tencent CloudBase / 腾讯云开发 TCB to LangChain through the Vinkius, and how to resolve them.

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Tencent CloudBase / 腾讯云开发 TCB + LangChain FAQ

Common questions about integrating Tencent CloudBase / 腾讯云开发 TCB 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.