Upstream Lens MCP Server for LlamaIndexGive LlamaIndex instant access to 8 tools to Check Api Health, Get Organization Info, Get Property Details, and more
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Upstream Lens 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 Upstream Lens app connector for LlamaIndex is a standout in the Data Analytics category — giving your AI agent 8 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 Upstream Lens. "
"You have 8 tools available."
),
)
response = await agent.run(
"What tools are available in Upstream Lens?"
)
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 Upstream Lens MCP Server
Connect your Upstream Tech Lens account to any AI agent and simplify how you monitor conservation projects, analyze satellite imagery, and track environmental changes through natural conversation.
LlamaIndex agents combine Upstream Lens tool responses with indexed documents for comprehensive, grounded answers. Connect 8 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 & Portfolio Oversight — List all environmental projects and portfolios to manage your conservation assets.
- Imagery Analysis — Query available satellite imagery layers (Sentinel, Landsat, etc.) for specific property features.
- Geospatial Insights — Fetch detailed metadata and field observations for properties to track ground-truth data.
- Environmental Monitoring — List project notes and observations to keep a record of changes over time.
- Organization Management — Retrieve Lens organization profiles and verify account configurations.
- Operational Status — Check API health and connectivity to ensure your monitoring engine is always active.
The Upstream Lens MCP Server exposes 8 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 8 Upstream Lens tools available for LlamaIndex
When LlamaIndex connects to Upstream Lens through Vinkius, your AI agent gets direct access to every tool listed below — spanning satellite-imagery, environmental-monitoring, remote-sensing, 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.
Check Lens API health
Get organization metadata
Get details for a specific property feature
List all portfolios
Can be filtered by update date. List observations and notes for a project
List detailed project observations
List all environmental projects
) for a specific property. List available imagery layers for a property
Connect Upstream Lens to LlamaIndex via MCP
Follow these steps to wire Upstream Lens 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 Upstream Lens MCP Server
LlamaIndex provides unique advantages when paired with Upstream Lens through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Upstream Lens tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Upstream Lens tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Upstream Lens, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Upstream Lens tools were called, what data was returned, and how it influenced the final answer
Upstream Lens + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Upstream Lens MCP Server delivers measurable value.
Hybrid search: combine Upstream Lens real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Upstream Lens 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 Upstream Lens for fresh data
Analytical workflows: chain Upstream Lens queries with LlamaIndex's data connectors to build multi-source analytical reports
Example Prompts for Upstream Lens in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Upstream Lens immediately.
"List all active environmental projects in my Lens account."
"Show me the latest field notes for the 'Amazon Restoration' project."
"List available satellite imagery layers for property 'feat_10293'."
Troubleshooting Upstream Lens MCP Server with LlamaIndex
Common issues when connecting Upstream Lens to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpUpstream Lens + LlamaIndex FAQ
Common questions about integrating Upstream Lens MCP Server with LlamaIndex.