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

asyncio.run(main())
Clari
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 Clari MCP Server

Connect your Clari account to any AI agent and take full control of your revenue operations and forecasting through natural conversation. Streamline how you manage your sales pipeline and historical revenue data.

LangChain's ecosystem of 500+ components combines seamlessly with Clari 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

  • Opportunity Oversight — List and retrieve details for all CRM opportunities tracked in Clari natively
  • Forecast Intelligence — Access manual forecast submissions and historical data to understand trends flawlessly
  • Pipeline Auditing — List and review platform events and audit trail records to track changes securely
  • Account Visibility — Access CRM accounts associated with revenue data and monitor their status flawlessly
  • User Logistics — List all users and organization hierarchies to understand team performance securely
  • Export Intelligence — Monitor the status of asynchronous bulk data export jobs directly within your workspace

The Clari 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 Clari to LangChain via MCP

Follow these steps to integrate the Clari 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 Clari via MCP

Why Use LangChain with the Clari MCP Server

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

01

The largest ecosystem of integrations, chains, and agents. combine Clari 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 Clari queries for multi-turn workflows

Clari + LangChain Use Cases

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

01

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

02

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

03

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

04

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

Clari MCP Tools for LangChain (8)

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

01

get_opportunity_revenue_details

Get detailed information for a specific opportunity

02

list_clari_audit_logs

List platform events and audit trail records

03

list_clari_export_jobs

List status of asynchronous bulk data export jobs

04

list_clari_forecasts

List manual forecast submissions and historical data

05

list_clari_time_periods

List active fiscal years, quarters, and months used in Clari

06

list_clari_users

List all users and hierarchy in the account

07

list_revenue_accounts

List CRM accounts associated with revenue data

08

list_revenue_opportunities

List CRM opportunities tracked in Clari

Example Prompts for Clari in LangChain

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

01

"Show me all opportunities worth over $50,000."

02

"What is our current manual forecast value?"

03

"Who are the account owners for the 'Top 10' pipeline accounts?"

Troubleshooting Clari MCP Server with LangChain

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

01

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Clari + LangChain FAQ

Common questions about integrating Clari 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 Clari to LangChain

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