COR MCP Server for LangChainGive LangChain instant access to 13 tools to Check Cor Status, Create Cor Project, Get Cor Me, and more
LangChain is the leading Python framework for composable LLM applications. Connect COR 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 COR app connector for LangChain is a standout in the Productivity category — giving your AI agent 13 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({
"cor": {
"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 COR, 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 COR MCP Server
Connect your COR account to any AI agent and take full control of your professional services project management and profitability orchestration through natural conversation.
LangChain's ecosystem of 500+ components combines seamlessly with COR through native MCP adapters. Connect 13 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 Portfolio Orchestration — List all active projects, retrieve detailed high-fidelity status metadata, and access profitability metrics programmatically
- Task Pipeline Intelligence — Query tasks for any project, retrieve detailed technical metadata, and stay on top of your team's operational delivery in real-time
- Profitability Monitoring — Access high-fidelity financial insights and project health metrics to ensure sustainable growth directly through your agent
- Time Tracking Discovery — Access recorded technical time entries to understand workload distribution and project efficiency across your organization
- Resource Architecture — List team members, teams, and user profiles to understand and orchestrate your organizational structure programmatically
- Client Database Access — Query the complete high-fidelity directory of client organizations to maintain perfect contextual alignment for every project
The COR MCP Server exposes 13 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 13 COR tools available for LangChain
When LangChain connects to COR through Vinkius, your AI agent gets direct access to every tool listed below — spanning project-management, profitability, time-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.
Check API Status
Create a new project
Get current user details
Get details for a specific project
Get details for a specific task
List customer clients
List COR projects
List defined task types
Optionally filter by project ID to isolate specific technical pipelines. List tasks
List team users
List users in a team
List organization teams
List recorded time entries
Connect COR to LangChain via MCP
Follow these steps to wire COR 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 COR MCP Server
LangChain provides unique advantages when paired with COR through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine COR 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 COR queries for multi-turn workflows
COR + LangChain Use Cases
Practical scenarios where LangChain combined with the COR MCP Server delivers measurable value.
RAG with live data: combine COR tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query COR, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain COR tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every COR tool call, measure latency, and optimize your agent's performance
Example Prompts for COR in LangChain
Ready-to-use prompts you can give your LangChain agent to start working with COR immediately.
"List all active projects and show their status."
"Show tasks assigned to project 'COR Integration'."
"Check the team members in the 'Development' team."
Troubleshooting COR MCP Server with LangChain
Common issues when connecting COR to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersCOR + LangChain FAQ
Common questions about integrating COR 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.