How to Use the Clientjoy MCP in LlamaIndex

Q: Does LlamaIndex support filtering Clientjoy tools?

Yes, you can use an allowedtools filter when setting up your agent. This restricts the agent to only the Clientjoy tools you choose to expose.

Index your Clientjoy CRM data into LlamaIndex for grounded, searchable insights about your leads and projects.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Clientjoy MCP to LlamaIndex

Create your Vinkius account to connect Clientjoy to LlamaIndex and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

GDPR Free for Subscribers

Setup Clientjoy with LlamaIndex

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Build a searchable Clientjoy knowledge base

Use `list_clientjoy_contacts` to ingest your CRM database into a vector store. You query your own client history using natural language instead of browsing dashboards. This MCP Server feeds live API data into your index. Your RAG system references actual contact details rather than relying on stale model training.

Query Clientjoy projects with LlamaIndex

Index the output of `list_agency_projects` to answer questions about active work. You ask your agent about specific deliverables and it pulls from the live registry. It turns your project list into a queryable asset. You get precise answers grounded in your specific agency data.

Monitor sales proposals via LlamaIndex

Run `list_sales_quotes` to feed your index with active proposal data. You find out exactly which quotes are pending for any given client. Your agent searches the proposal history to provide context. It pulls the right information the moment you ask.

Setup guide

Set up Clientjoy MCP in LlamaIndex

Prerequisites

Python 3.10+ installed
llama-index-tools-mcp package
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai. The MCP tools package provides BasicMCPClient and McpToolSpec.
2

Connect with BasicMCPClient
Point BasicMCPClient to your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports SSE and Streamable HTTP transports.
3

Convert to LlamaIndex tools
Call mcp_tool_spec.to_tool_list_async() to convert all Clientjoy MCP tools into native FunctionTool objects that any LlamaIndex agent can use.
4

Run with any LLM
Create a FunctionAgent with the tools and your preferred LLM. Swap OpenAI for Anthropic, Gemini, or any LlamaIndex-supported provider.

agent.py

from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

# Connect to the MCP
mcp_client = BasicMCPClient(
    "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
mcp_tool_spec = McpToolSpec(client=mcp_client)

# Convert MCP tools to LlamaIndex tools
tools = await mcp_tool_spec.to_tool_list_async()

# Create and run the agent
agent = FunctionAgent(
    tools=tools,
    llm=OpenAI(model="gpt-4o"),
    system_prompt="You have access to Clientjoy tools.",
)
response = await agent.run("List recent Clientjoy data")

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Clientjoy. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect Clientjoy now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Clientjoy MCP in LlamaIndex

You index the tool outputs into a vector store using the McpToolSpec. Once indexed, you can run semantic searches across your CRM data.

You control the refresh cycle in your LlamaIndex application. The server provides the current snapshot of your CRM data whenever you trigger a tool.

Yes, you can use an allowed_tools filter when setting up your agent. This restricts the agent to only the Clientjoy tools you choose to expose.

Your CRM data is isolated within the V8 sandbox. We only touch your contact and lead records, never your account credentials, and the connection is encrypted.

The server scales with your CRM usage. You can ingest large lists of contacts and leads, provided your vector database has the capacity.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python