Gmelius MCP Server for LangChainGive LangChain instant access to 9 tools to Check Gmelius Status, Create Gmelius Card, Get Gmelius Board, and more
LangChain is the leading Python framework for composable LLM applications. Connect Gmelius 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 App Connector for LangChain
The Gmelius app connector for LangChain is a standout in the Productivity category — giving your AI agent 9 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
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({
"gmelius": {
"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 Gmelius, 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 Gmelius MCP Server
Connect your Gmelius account to any AI agent and take full control of your team's collaborative workspace and high-fidelity shared inbox orchestration through natural conversation.
LangChain's ecosystem of 500+ components combines seamlessly with Gmelius through native MCP adapters. Connect 9 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
- Conversation Portfolio Orchestration — List all collaborative email threads, retrieve detailed high-fidelity history, and monitor ticket status programmatically
- Kanban Pipeline Intelligence — Query team project boards, retrieve detailed technical metadata, and stay on top of workflow progress in real-time
- Card & Task Orchestration — Programmatically generate new task cards or email items on specific boards directly through your agent for perfectly coordinated delivery
- Sequence Monitoring — Access configured automated high-fidelity email sequences and monitor their status directly through your agent for outreach optimization
- Template Discovery — Access your complete directory of high-fidelity shared email templates and inboxes to choose the right context for every interaction
- Operational Monitoring — Verify account-level API connectivity and monitor collaborative volume directly through your agent for perfectly coordinated service scaling
The Gmelius MCP Server exposes 9 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.
All 9 Gmelius tools available for LangChain
When LangChain connects to Gmelius through Vinkius, your AI agent gets direct access to every tool listed below — spanning shared-inbox, email-delegation, kanban-boards, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.
Check API Status
Add a new card to a board
Get details for a specific board
Get details for a specific conversation
List cards on a Kanban board
List collaborative Kanban boards
List Gmelius shared conversations
List email sequences
List shared email templates
Connect Gmelius to LangChain via MCP
Follow these steps to wire Gmelius into LangChain. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install dependencies
pip install langchain langchain-mcp-adapters langgraph langchain-openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
python agent.pyExplore tools
Why Use LangChain with the Gmelius MCP Server
LangChain provides unique advantages when paired with Gmelius through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine Gmelius 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 Gmelius queries for multi-turn workflows
Gmelius + LangChain Use Cases
Practical scenarios where LangChain combined with the Gmelius MCP Server delivers measurable value.
RAG with live data: combine Gmelius tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query Gmelius, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain Gmelius tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every Gmelius tool call, measure latency, and optimize your agent's performance
Example Prompts for Gmelius in LangChain
Ready-to-use prompts you can give your LangChain agent to start working with Gmelius immediately.
"List all active Kanban boards and show their status."
"Show the last 5 conversations assigned to me."
"Check the available email templates for the 'Sales' team."
Troubleshooting Gmelius MCP Server with LangChain
Common issues when connecting Gmelius to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersGmelius + LangChain FAQ
Common questions about integrating Gmelius 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.