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Clearstory MCP Server for LangChain 8 tools — connect in under 2 minutes

Built by Vinkius GDPR 8 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect Clearstory through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

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({
        "clearstory": {
            "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 Clearstory, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())
Clearstory
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 Clearstory MCP Server

Connect your Clearstory account to any AI agent and take full control of your construction project financial data through natural conversation. Streamline how you manage Change Order Requests (CORs) and Time & Material (T&M) tags natively.

LangChain's ecosystem of 500+ components combines seamlessly with Clearstory through native MCP adapters. Connect 8 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 Oversight — List and retrieve details for all active and inactive construction projects natively
  • COR Intelligence — Access and monitor Change Order Requests, including amounts and statuses flawlessly
  • Tag Management — List and review digital Time & Material tags directly from the field securely
  • Contract Auditing — Access contracts linked to specific change orders flawlessly
  • Notification Logistics — List and review change notifications sent between customers and contractors flawlessly
  • Rate Visibility — Monitor Labor, Material, Equipment, and Other (LMEO) rates for your projects directly within your workspace

The Clearstory 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 Clearstory to LangChain via MCP

Follow these steps to integrate the Clearstory MCP Server with LangChain.

01

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the agent

Save the code and run python agent.py

04

Explore tools

The agent discovers 8 tools from Clearstory via MCP

Why Use LangChain with the Clearstory MCP Server

LangChain provides unique advantages when paired with Clearstory through the Model Context Protocol.

01

The largest ecosystem of integrations, chains, and agents. combine Clearstory MCP tools with 500+ LangChain components

02

Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step

03

LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging

04

Memory and conversation persistence let agents maintain context across Clearstory queries for multi-turn workflows

Clearstory + LangChain Use Cases

Practical scenarios where LangChain combined with the Clearstory MCP Server delivers measurable value.

01

RAG with live data: combine Clearstory tool results with vector store retrievals for answers grounded in both real-time and historical data

02

Autonomous research agents: LangChain agents query Clearstory, synthesize findings, and generate comprehensive research reports

03

Multi-tool orchestration: chain Clearstory tools with web scrapers, databases, and calculators in a single agent run

04

Production monitoring: use LangSmith to trace every Clearstory tool call, measure latency, and optimize your agent's performance

Clearstory MCP Tools for LangChain (8)

These 8 tools become available when you connect Clearstory to LangChain via MCP:

01

get_cor_details

Get detailed information for a specific COR

02

get_project_construction_details

Get detailed information for a specific project

03

list_change_notifications

List change notifications sent between customers and contractors

04

list_change_order_requests

List all Change Order Requests (CORs)

05

list_construction_projects

List all construction projects in Clearstory

06

list_construction_rates

List Labor, Material, Equipment, and Other (LMEO) rates

07

list_project_contracts

List contracts linked to change orders

08

list_tm_tags

List digital Time & Material tags from the field

Example Prompts for Clearstory in LangChain

Ready-to-use prompts you can give your LangChain agent to start working with Clearstory immediately.

01

"List all active construction projects in Clearstory."

02

"Show me the last 5 Change Order Requests."

03

"What are the labor rates for the 'City Hospital' project?"

Troubleshooting Clearstory MCP Server with LangChain

Common issues when connecting Clearstory to LangChain through the Vinkius, and how to resolve them.

01

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Clearstory + LangChain FAQ

Common questions about integrating Clearstory MCP Server with LangChain.

01

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.
02

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.
03

Can I trace MCP tool calls in LangSmith?

Yes. All MCP tool invocations appear as traced steps in LangSmith, showing input parameters, response payloads, latency, and token usage.

Connect Clearstory to LangChain

Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.