How to Use the Boostapp MCP in LlamaIndex

Q: Does Boostapp support the LlamaIndex tool filtering system?

You can use allowedtools filters to restrict which operations the agent performs. This keeps your CRM interactions predictable and secure.

Turn every new lead into indexed knowledge within your LlamaIndex RAG application.

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Connect Boostapp MCP to LlamaIndex

Create your Vinkius account to connect Boostapp 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.

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Setup Boostapp with LlamaIndex

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Index leads via LlamaIndex tools

Use the `create_lead` tool to push data into your CRM. LlamaIndex captures the tool response and adds it to your vector store automatically. Your RAG application stays grounded in reality. When you query your index, you get answers based on the actual leads you created today.

Ground your AI with Boostapp data

Connect your MCP Server to your LlamaIndex knowledge base. You turn raw CRM entries into searchable context for your agents. This prevents the usual hallucinations. Your agent knows exactly which leads exist because it can search the index populated by your API calls.

Query past CRM history

Treat your sales data as part of your document collection. Your agent calls `create_lead` and then queries the updated index to confirm the entry. It makes your LlamaIndex setup much smarter. You move past simple chat into a system that remembers every interaction it logs.

Setup guide

Set up Boostapp 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 Boostapp 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 Boostapp tools.",
)
response = await agent.run("List recent Boostapp data")

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Boostapp. 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.

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Common questions about Boostapp MCP in LlamaIndex

The server exposes its tools to the agent, which then pipes the results into your vector store. You configure the index to watch these tool outputs.

Absolutely. Every time you run the lead creation tool, the output is ready to be embedded and stored for future retrieval.

You can use allowed_tools filters to restrict which operations the agent performs. This keeps your CRM interactions predictable and secure.

Your information remains yours. Vinkius handles the transport securely so your CRM records never leak during the indexing process.

We enforce strict transport security for every name and phone number you process. Your data exists only within your authenticated session and your private vector index.

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