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Richards CRM MCP Server for LangChainGive LangChain instant access to 11 tools to Create Lead, Get Company Profile, Get Lead, and more

Built by Vinkius GDPR 11 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect Richards CRM 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 Richards CRM app connector for LangChain is a standout in the Industry Titans category — giving your AI agent 11 tools to work with, ready to go from day one.

Vinkius delivers Streamable HTTP and SSE to any MCP client

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({
        "richards-crm": {
            "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 Richards CRM, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())
Richards CRM
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 Richards CRM MCP Server

Connect your Richards Building Supply CRM account to any AI agent and take full control of your exterior contracting orchestration through natural conversation. Powered by the Construct CRM engine, this integration allows you to retrieve lead metadata, manage project lifecycles, and orchestrate material orders directly from your chat interface.

LangChain's ecosystem of 500+ components combines seamlessly with Richards CRM through native MCP adapters. Connect 11 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

  • Lead & Prospect Orchestration — List all managed leads and retrieve detailed profile metadata, including creating new contacts programmatically to ensure your pipeline is always synchronized.
  • Project & Job Lifecycle Management — Access and monitor active projects and retrieve detailed technical metadata directly from the AI interface to keep your exterior jobs on track.
  • Estimating & Proposals Intelligence — Access project estimates and monitor proposal statuses to ensure your bidding process is always optimized via natural language.
  • Material Ordering & Invoice Control — List and retrieve order metadata and invoices to maintain a clear overview of your supply chain and business expenses.
  • Operational Monitoring — Track employee assignments and manage company profile metadata using simple AI commands.

The Richards CRM MCP Server exposes 11 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 11 Richards CRM tools available for LangChain

When LangChain connects to Richards CRM through Vinkius, your AI agent gets direct access to every tool listed below — spanning lead-management, contractor-tools, material-ordering, 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_lead

Create a new lead

get_company_profile

Get company profile details

get_lead

Get details for a specific lead

get_project

Get details of a specific project

list_employees

List all employees

list_estimates

List all estimates

list_invoices

List all invoices

list_leads

List all leads

list_orders

List all purchase orders

list_projects

List all projects

list_proposals

List all proposals

Connect Richards CRM to LangChain via MCP

Follow these steps to wire Richards CRM into LangChain. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

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 11 tools from Richards CRM via MCP

Why Use LangChain with the Richards CRM MCP Server

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

01

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

Richards CRM + LangChain Use Cases

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

01

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

02

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

03

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

04

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

Example Prompts for Richards CRM in LangChain

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

01

"List all active leads in my Richards CRM."

02

"Show me all leads in the pipeline with their estimated values and conversion probabilities."

03

"Create a new lead for TechVentures Inc with a $75,000 estimated project value."

Troubleshooting Richards CRM MCP Server with LangChain

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

01

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Richards CRM + LangChain FAQ

Common questions about integrating Richards CRM 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.