BasicOps MCP Server for LangChainGive LangChain instant access to 12 tools to Create Project, Create Task, Get Account Info, and more
LangChain is the leading Python framework for composable LLM applications. Connect BasicOps 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 BasicOps app connector for LangChain is a standout in the Productivity category — giving your AI agent 12 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({
"basicops": {
"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 BasicOps, 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 BasicOps MCP Server
Connect your BasicOps account to any AI agent and take full control of your project management and team collaboration workflows through natural conversation.
LangChain's ecosystem of 500+ components combines seamlessly with BasicOps 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
- Project & Section Orchestration — List and manage your entire project hierarchy programmatically, including creating new project sections (phases) in real-time
- Task Lifecycle Management — Programmatically create and update tasks, monitoring status transitions, due dates, and high-fidelity descriptions directly through your agent
- Team Coordination Intelligence — Access complete directories of team members and retrieve communication history within tasks to maintain perfectly coordinated context
- Workflow Automation — Programmatically manage project sections to organize your team's workflow into high-fidelity sprints or operational phases
- Workspace Visibility — Access high-fidelity metadata for your workspace and monitor active webhooks directly through your agent for instant operational reporting
The BasicOps 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.
All 12 BasicOps tools available for LangChain
When LangChain connects to BasicOps through Vinkius, your AI agent gets direct access to every tool listed below — spanning task-management, workflow-automation, project-tracking, 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.
Create a new project
Create a new task
Get my profile
Get project details
Get task details
List project sections
List tasks in project
List all BasicOps projects
List task messages
List team members
List active webhooks
Update a task
Connect BasicOps to LangChain via MCP
Follow these steps to wire BasicOps 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 BasicOps MCP Server
LangChain provides unique advantages when paired with BasicOps through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine BasicOps 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 BasicOps queries for multi-turn workflows
BasicOps + LangChain Use Cases
Practical scenarios where LangChain combined with the BasicOps MCP Server delivers measurable value.
RAG with live data: combine BasicOps tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query BasicOps, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain BasicOps tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every BasicOps tool call, measure latency, and optimize your agent's performance
Example Prompts for BasicOps in LangChain
Ready-to-use prompts you can give your LangChain agent to start working with BasicOps immediately.
"List all active projects in my BasicOps workspace."
"Create a new high-priority task 'Fix Login Bug' in project '123'."
"Show the communication history for task ID '456'."
Troubleshooting BasicOps MCP Server with LangChain
Common issues when connecting BasicOps to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersBasicOps + LangChain FAQ
Common questions about integrating BasicOps 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.