Gripr MCP Server for LlamaIndexGive LlamaIndex instant access to 11 tools to Create Customer, Create Project, Create Task, and more
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Gripr as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
Ask AI about this App Connector for LlamaIndex
The Gripr app connector for LlamaIndex is a standout in the Construction category — giving your AI agent 11 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
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 Gripr. "
"You have 11 tools available."
),
)
response = await agent.run(
"What tools are available in Gripr?"
)
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 Gripr MCP Server
Connect your Gripr (Goliath Systemer) account to any AI agent and take full control of your construction projects and craft business workflows through natural conversation.
LlamaIndex agents combine Gripr tool responses with indexed documents for comprehensive, grounded answers. Connect 11 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
- Project Orchestration — List and manage all active construction projects and retrieve detailed technical metadata and status
- Time Tracking — Programmatically register work hours for specific projects and retrieve history to ensure accurate billing and labor oversight
- Task Lifecycle — Create and manage project tasks to coordinate on-site activities and maintain a high-fidelity project schedule
- Customer CRM — Manage customer profiles and retrieve detailed contact information to streamline client communication
- Field Compliance — Access HSE (Health, Safety, and Environment) and QA (Quality Assurance) forms directly through your agent
The Gripr MCP Server exposes 11 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.
All 11 Gripr tools available for LlamaIndex
When LlamaIndex connects to Gripr through Vinkius, your AI agent gets direct access to every tool listed below — spanning safety-compliance, risk-assessment, time-tracking, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.
Create a new customer
Create a new project
Create a new task
Get details for a project
List all customers
List HSE/QA forms
List all projects
List all registered hours
Optionally filter by project ID. List tasks
List all users in the workspace
Register work hours
Connect Gripr to LlamaIndex via MCP
Follow these steps to wire Gripr into LlamaIndex. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install dependencies
pip install llama-index-tools-mcp llama-index-llms-openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
agent.py and run: python agent.pyExplore tools
Why Use LlamaIndex with the Gripr MCP Server
LlamaIndex provides unique advantages when paired with Gripr through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Gripr tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Gripr tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Gripr, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Gripr tools were called, what data was returned, and how it influenced the final answer
Gripr + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Gripr MCP Server delivers measurable value.
Hybrid search: combine Gripr real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Gripr 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 Gripr for fresh data
Analytical workflows: chain Gripr queries with LlamaIndex's data connectors to build multi-source analytical reports
Example Prompts for Gripr in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Gripr immediately.
"List all my active construction projects."
"Register 120 minutes of work for project 'p_123' today."
"Show me a list of all customers in Gripr."
Troubleshooting Gripr MCP Server with LlamaIndex
Common issues when connecting Gripr to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpGripr + LlamaIndex FAQ
Common questions about integrating Gripr MCP Server with LlamaIndex.