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How to Use the Gripr MCP in LlamaIndex

Index construction safety data and log hours directly into your LlamaIndex knowledge base.

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LlamaIndex

Connect Gripr MCP to LlamaIndex

Create your Vinkius account to connect Gripr 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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Index construction safety reports into LlamaIndex RAG

This integration allows LlamaIndex to query `list_forms` and load your HSE reports directly into a vector index. Your agent can then perform semantic search across all historical safety inspections. By converting live API data from `get_project_details` into indexable documents, you eliminate hallucinations. Your agent answers safety compliance questions using actual, verified project records.

Query active project tasks using your LlamaIndex agent

This MCP Server lets your LlamaIndex agent retrieve real-time task lists by invoking `list_tasks` and mapping the results to your semantic query index. This lets you ask natural language questions about outstanding safety hazards and get answers grounded in live data. The agent combines task data with customer information pulled via `list_customers`. This gives you a clear picture of project bottlenecks without digging through databases.

Track labor logs via MCP Server data loaders

This MCP Server exposes tools like `list_registered_hours` directly to your LlamaIndex data loaders. You can automatically index logged work hours to detect anomalies or missing time entries across your teams. If a worker forgets to log their time, your agent can verify their active status with `list_workspace_users`. It then uses `register_hours` to update the records automatically.

Setup guide

Set up Gripr MCP in LlamaIndex

Prerequisites

  • Python 3.10+ installed
  • llama-index-tools-mcp package
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install dependencies

    Run pip install llama-index-tools-mcp llama-index-llms-openai. The MCP tools package provides BasicMCPClient and McpToolSpec.

  2. 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. 3

    Convert to LlamaIndex tools

    Call mcp_tool_spec.to_tool_list_async() to convert all Gripr MCP tools into native FunctionTool objects that any LlamaIndex agent can use.

  4. 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 Gripr tools.",
)
response = await agent.run("List recent Gripr data")

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

Use `McpToolSpec` to load tools like `list_forms` into your LlamaIndex agent. The agent can then query this MCP and index the resulting safety data.
Yes, your LlamaIndex agent can fetch tasks via `list_tasks`, index the text, and perform vector searches to find past safety violations.
Yes, you can configure your LlamaIndex pipeline to pull active projects using `list_projects` on a schedule to keep your index current.
Yes, you can use the allowed tools filter in LlamaIndex to restrict your agent to safe tools like `get_project_details` while blocking write operations.
All calls to tools like `register_hours` run inside an ephemeral sandbox. Your workspace logs and customer lists are never cached on external servers.

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