DataScope MCP Server for LlamaIndexGive LlamaIndex instant access to 6 tools to Get Submission Pdf Url, Get Submissions With Metadata, List Available Forms, and more
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add DataScope 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 DataScope app connector for LlamaIndex is a standout in the Productivity category — giving your AI agent 6 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 DataScope. "
"You have 6 tools available."
),
)
response = await agent.run(
"What tools are available in DataScope?"
)
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 DataScope MCP Server
Connect your DataScope account to any AI agent and take full control of your mobile form data collection and field operations through natural conversation.
LlamaIndex agents combine DataScope tool responses with indexed documents for comprehensive, grounded answers. Connect 6 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
- Submission Orchestration — List and retrieve form submissions (answers) programmatically, using powerful filters for form IDs, users, and date ranges
- Field Data Intelligence — Access detailed metadata for every submission, including question types and internal identifiers to coordinate data analysis
- Form & User Architecture — Retrieve complete directories of available forms and registered organization users to oversee team collaboration in the field
- Asset Retrieval — Programmatically retrieve secure PDF download URLs for specific form submissions to streamline reporting and auditing workflows
- Visual Monitoring — Access tracked locations and field data collection points directly through your agent to maintain high-fidelity operational transparency
The DataScope MCP Server exposes 6 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 6 DataScope tools available for LlamaIndex
When LlamaIndex connects to DataScope through Vinkius, your AI agent gets direct access to every tool listed below — spanning mobile-forms, field-inspections, data-collection, 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.
Get PDF URL for a submission
List submissions with detailed metadata
List available forms
You can filter by form ID or user ID. List form submissions (answers)
List all users in the organization
List tracked locations
Connect DataScope to LlamaIndex via MCP
Follow these steps to wire DataScope 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 DataScope MCP Server
LlamaIndex provides unique advantages when paired with DataScope through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine DataScope tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain DataScope tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query DataScope, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what DataScope tools were called, what data was returned, and how it influenced the final answer
DataScope + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the DataScope MCP Server delivers measurable value.
Hybrid search: combine DataScope real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query DataScope 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 DataScope for fresh data
Analytical workflows: chain DataScope queries with LlamaIndex's data connectors to build multi-source analytical reports
Example Prompts for DataScope in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with DataScope immediately.
"List the last 5 form submissions for form ID '1024'."
"Show me all registered users in my DataScope organization."
"Get the PDF download link for submission ID 'ans_789'."
Troubleshooting DataScope MCP Server with LlamaIndex
Common issues when connecting DataScope to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpDataScope + LlamaIndex FAQ
Common questions about integrating DataScope MCP Server with LlamaIndex.