Cloze MCP Server for LlamaIndex 9 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Cloze as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
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Vinkius supports streamable HTTP and SSE.
import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
mcp_tool_spec = McpToolSpec(client=mcp_client)
tools = await mcp_tool_spec.to_tool_list_async()
agent = FunctionAgent(
tools=tools,
llm=OpenAI(model="gpt-4o"),
system_prompt=(
"You are an assistant with access to Cloze. "
"You have 9 tools available."
),
)
response = await agent.run(
"What tools are available in Cloze?"
)
print(response)
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 Cloze MCP Server
Cloze is a smart CRM that automatically tracks your interactions and provides AI-powered insights to manage your relationships, projects, and deals. Through this MCP server, your AI agent can effortlessly pull contact histories, lookup custom tags, verify relationship strengths, and update ongoing project states without breaking your workflow.
LlamaIndex agents combine Cloze tool responses with indexed documents for comprehensive, grounded answers. Connect 9 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.
The Cloze MCP Server exposes 9 tools through the Vinkius. Connect it to LlamaIndex 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 Cloze to LlamaIndex via MCP
Follow these steps to integrate the Cloze MCP Server with LlamaIndex.
Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.py and run: python agent.py
Explore tools
The agent discovers 9 tools from Cloze
Why Use LlamaIndex with the Cloze MCP Server
LlamaIndex provides unique advantages when paired with Cloze through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Cloze tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Cloze tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Cloze, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Cloze tools were called, what data was returned, and how it influenced the final answer
Cloze + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Cloze MCP Server delivers measurable value.
Hybrid search: combine Cloze real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Cloze to augment indexed data with live information before generating user-facing responses
Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Cloze for fresh data
Analytical workflows: chain Cloze queries with LlamaIndex's data connectors to build multi-source analytical reports
Cloze MCP Tools for LlamaIndex (9)
These 9 tools become available when you connect Cloze to LlamaIndex via MCP:
create_person
Provide at least name or email. Create a new person in Cloze
create_project
Create a new project, deal, or property in Cloze
get_person
Retrieve detailed information about a specific person by email
list_companies
Retrieve a list of companies from Cloze
list_custom_fields
Retrieve definitions for custom fields in your Cloze account
list_people
Retrieve a list of people (contacts) from Cloze
list_projects
Retrieve a list of projects, properties, or deals from Cloze
search_people_by_tag
Find contacts that have a specific tag
update_person
Email is used as the match key. Update an existing person in Cloze (matching by email)
Example Prompts for Cloze in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Cloze immediately.
"Get all details for the person with email 'sarah@example.com' in Cloze."
"Show me my active projects in Cloze."
"Find all contacts tagged with 'VIP' in Cloze."
Troubleshooting Cloze MCP Server with LlamaIndex
Common issues when connecting Cloze to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpCloze + LlamaIndex FAQ
Common questions about integrating Cloze MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
Connect Cloze with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Cloze to LlamaIndex
Get your token, paste the configuration, and start using 9 tools in under 2 minutes. No API key management needed.