How to Use the NeonCRM MCP in LlamaIndex

Q: How do I connect LlamaIndex to this NeonCRM server?

You'll use the McpToolSpec from the LlamaIndex tools library. Just point it at the Vinkius server URL. It will automatically discover the 10 available NeonCRM tools for you to use.

Q: Can I filter which NeonCRM tools my LlamaIndex agent can use?

Yes. The McpToolSpec has an allowedtools filter. You can give an agent access to only listdonations and getdonation, for example, to restrict its capabilities.

Index your NeonCRM data with LlamaIndex. Build RAG apps that answer questions about donors, events, and memberships with verifiable facts.

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Connect NeonCRM MCP to LlamaIndex

Create your Vinkius account to connect NeonCRM 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 NeonCRM with LlamaIndex

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Turn NeonCRM into a Knowledge Base

This MCP server lets LlamaIndex do what it does best: index data. Your agent can call `list_accounts` or `list_donations` and automatically feed the results into a vector store. This turns your live CRM data into a searchable knowledge base. Once indexed, your agent can answer questions about your donors or events without hitting the API again for every query. It's faster and cheaper, especially for frequently asked questions about things like membership status (`list_memberships`) or event details (`get_crm_event`).

Ground Your Agent in Real CRM Data

Build RAG applications that give answers based on facts, not fiction. When you ask about a donor's giving history, LlamaIndex can query its index of data pulled from `get_donation` to give you a specific, accurate answer. This prevents your agent from hallucinating. The answers are grounded in the actual data from your NeonCRM instance, so you can trust what it tells you about contacts, grants, and accounts.

Query Your MCP Server with Natural Language

The LlamaIndex integration turns raw tool calls into a smooth query experience. You don't need to specify `list_contacts`—just ask, "Who are our contacts in New York?" and the agent will figure out which tool to use. It makes interacting with your NeonCRM data feel more like a conversation. This is especially useful for non-technical users who just need quick answers from the database without learning a query language or navigating a complex UI.

Setup guide

Set up NeonCRM 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 NeonCRM 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 NeonCRM tools.",
)
response = await agent.run("List recent NeonCRM 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 NeonCRM. 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 NeonCRM MCP in LlamaIndex

You'll use the `McpToolSpec` from the LlamaIndex tools library. Just point it at the Vinkius server URL. It will automatically discover the 10 available NeonCRM tools for you to use.

Yes. The `McpToolSpec` has an `allowed_tools` filter. You can give an agent access to only `list_donations` and `get_donation`, for example, to restrict its capabilities.

The main benefit is indexing. You create a searchable, semantic copy of your NeonCRM data, which lets you build powerful RAG applications that can answer complex questions about your donor base.

Yes. LlamaIndex is flexible. The MCP server provides the data from NeonCRM, and you can configure LlamaIndex to store it in any vector database it supports, whether it's running on your machine or in the cloud.

The security of the indexed data depends on your vector store's configuration. The MCP server itself is stateless; it fetches the raw account and donation records from NeonCRM for indexing and then forgets the transaction. Vinkius secures the pipe, you secure the destination.

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