Range MCP Server for LlamaIndexGive LlamaIndex instant access to 11 tools to Create Update, Get Objective, Get Snippet, and more
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Range 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 Range app connector for LlamaIndex is a standout in the Industry Titans 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 Range. "
"You have 11 tools available."
),
)
response = await agent.run(
"What tools are available in Range?"
)
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 Range MCP Server
Connect your Range.co account to any AI agent and take full control of your team communication and check-in orchestration through natural conversation. Range provides a premier platform for keeping remote and hybrid teams synchronized, and this integration allows you to retrieve team metadata, monitor check-in updates (snippets), and track organizational objectives directly from your chat interface.
LlamaIndex agents combine Range 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
- Check-in & Update Orchestration — List all managed updates and retrieve detailed metadata including snippet content programmatically.
- Team & User Lifecycle Management — Access and monitor your workspace teams and retrieve detailed user profile metadata directly from the AI interface.
- Objective & Goal Intelligence — Access organizational objectives to maintain a clear overview of team alignment and progress via natural language.
- Activity & Snippet Control — Retrieve specific snippets and check-in details to stay informed about daily team accomplishments.
- Operational Monitoring — Track system activity and manage workspace metadata using simple AI commands to ensure your team remains high-performing.
The Range 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 Range tools available for LlamaIndex
When LlamaIndex connects to Range through Vinkius, your AI agent gets direct access to every tool listed below — spanning async-check-ins, team-sync, objective-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.
Post a new standup update
Get details for a specific objective
Get details of a specific check-in snippet
Get details for a specific team
Get details of a specific update (check-in)
Get details for a specific team member
List all team goals
List team objectives
List all teams
Can be filtered by target_id or for_user_id. List team check-ins (updates)
List all users in the organization
Connect Range to LlamaIndex via MCP
Follow these steps to wire Range 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 Range MCP Server
LlamaIndex provides unique advantages when paired with Range through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Range tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Range tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Range, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Range tools were called, what data was returned, and how it influenced the final answer
Range + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Range MCP Server delivers measurable value.
Hybrid search: combine Range real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Range 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 Range for fresh data
Analytical workflows: chain Range queries with LlamaIndex's data connectors to build multi-source analytical reports
Example Prompts for Range in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Range immediately.
"List all teams in my Range workspace."
"Show me all team standup updates from today with their mood indicators and blockers."
"Show me the progress on all team objectives for this quarter with completion percentages."
Troubleshooting Range MCP Server with LlamaIndex
Common issues when connecting Range to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpRange + LlamaIndex FAQ
Common questions about integrating Range MCP Server with LlamaIndex.