Can I add notes to a customer's profile using this integration?

Yes! Use the `create_note` tool. You just need to provide the Customer ID and the text of the note. It will be instantly added to their profile for your technicians to see.

How do I filter unpaid invoices?

You can use the `list_invoices` tool and pass 'unpaid' (or the equivalent status parameter specified in GorillaDesk) to quickly retrieve a list of outstanding balances.

Can I check the schedules for specific field technicians?

Absolutely. By utilizing the schedule-checking tool with a technician's name or ID, the agent retrieves their complete run-sheet for the requested day.

GorillaDesk MCP Server for LlamaIndex 12 tools — connect in under 2 minutes

Name: GorillaDesk
Availability: InStock
Author: Vinkius

docs.llamaindex.ai/en/stable/module_guides/tools/mcp

Built by Vinkius GDPR 12 Tools Framework

LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add GorillaDesk as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

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 GorillaDesk. "
            "You have 12 tools available."
        ),
    )

    response = await agent.run(
        "What tools are available in GorillaDesk?"
    )
    print(response)

asyncio.run(main())

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* 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 GorillaDesk MCP Server

Connect your GorillaDesk account to your AI agent and streamline your field service management. Use natural language to query customer records, check job statuses, and manage invoices without manually navigating the software interface.

LlamaIndex agents combine GorillaDesk tool responses with indexed documents for comprehensive, grounded answers. Connect 12 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.

What you can do

Customer Management — Search for customers, view their details, and create or update customer profiles instantly
Job Tracking — List upcoming or past jobs (work orders) and retrieve specific details to keep your team aligned
Invoicing — Check the status of unpaid invoices and review billing details for specific customers
Note Taking — Read and add notes to customer profiles directly from the chat to ensure your technicians have all the context they need

The GorillaDesk MCP Server exposes 12 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 GorillaDesk to LlamaIndex via MCP

Follow these steps to integrate the GorillaDesk 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 12 tools from GorillaDesk

Why Use LlamaIndex with the GorillaDesk MCP Server

LlamaIndex provides unique advantages when paired with GorillaDesk through the Model Context Protocol.

Data-first architecture: LlamaIndex agents combine GorillaDesk tool responses with indexed documents for comprehensive, grounded answers

Query pipeline framework lets you chain GorillaDesk tool calls with transformations, filters, and re-rankers in a typed pipeline

Multi-source reasoning: agents can query GorillaDesk, a vector store, and a SQL database in a single turn and synthesize results

Observability integrations show exactly what GorillaDesk tools were called, what data was returned, and how it influenced the final answer

GorillaDesk + LlamaIndex Use Cases

Practical scenarios where LlamaIndex combined with the GorillaDesk MCP Server delivers measurable value.

Hybrid search: combine GorillaDesk real-time data with embedded document indexes for answers that are both current and comprehensive

Data enrichment: query GorillaDesk 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 GorillaDesk for fresh data

Analytical workflows: chain GorillaDesk queries with LlamaIndex's data connectors to build multi-source analytical reports

GorillaDesk MCP Tools for LlamaIndex (12)

These 12 tools become available when you connect GorillaDesk to LlamaIndex via MCP:

create_customer

Create a new customer profile

create_note

Add a note to a customer profile

get_company

Get details for the current GorillaDesk company account

get_customer

Get details for a specific customer

get_invoice

Get details of a specific invoice

get_job

Get details of a specific job

list_customers

List or search for customers

list_invoices

List invoices

list_jobs

List upcoming or past jobs (work orders)

list_notes

List notes for a specific customer

list_users

List all users/technicians in the account

update_customer

Update an existing customer

Example Prompts for GorillaDesk in LlamaIndex

Ready-to-use prompts you can give your LlamaIndex agent to start working with GorillaDesk immediately.

"Find the customer record for john@example.com."

"Show me the details for job ID 88392."

"Check the schedule logic for Mike R. tomorrow and list all his confirmed routes."

Troubleshooting GorillaDesk MCP Server with LlamaIndex

Common issues when connecting GorillaDesk to LlamaIndex through the Vinkius, and how to resolve them.

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

GorillaDesk + LlamaIndex FAQ

Common questions about integrating GorillaDesk MCP Server with LlamaIndex.

How does LlamaIndex connect to MCP servers?

Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.

Can I combine MCP tools with vector stores?

Yes. LlamaIndex agents can query GorillaDesk tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.