Rocketlane MCP Server for LlamaIndexGive LlamaIndex instant access to 11 tools to Create Project, Create Task, Get Project, and more
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Rocketlane 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 Rocketlane 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 Rocketlane. "
"You have 11 tools available."
),
)
response = await agent.run(
"What tools are available in Rocketlane?"
)
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 Rocketlane MCP Server
Connect your Rocketlane account to any AI agent and take full control of your professional services automation and client onboarding orchestration through natural conversation. Rocketlane provides a premier platform for project management and customer experience, and this integration allows you to retrieve project metadata, create tasks, and manage custom fields directly from your chat interface.
LlamaIndex agents combine Rocketlane 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
- Onboarding & Project Orchestration — List all managed projects and retrieve detailed metadata, including creating new projects programmatically to ensure a smooth client kickoff.
- Task Lifecycle Management — Access and monitor project tasks and retrieve detailed technical metadata directly from the AI interface to keep your team on track.
- Time Tracking & Performance — Access and monitor time entries to maintain a clear overview of project velocity and team utilization via natural language.
- Custom Field Intelligence — Retrieve available custom fields to ensure your project data is always synchronized with your specific business requirements.
- Operational Monitoring — Track project statuses and manage team metadata using simple AI commands to ensure your professional services are always optimized.
The Rocketlane 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 Rocketlane tools available for LlamaIndex
When LlamaIndex connects to Rocketlane through Vinkius, your AI agent gets direct access to every tool listed below — spanning client-onboarding, professional-services, task-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.
Pass data as a JSON string. Create a new project
Create a new task in a project
Get specific project details
Get details for a specific task
List all custom fields
List all team members
List all Rocketlane projects
List project tasks
List all project templates
List all time tracking entries
Update project details
Connect Rocketlane to LlamaIndex via MCP
Follow these steps to wire Rocketlane 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 Rocketlane MCP Server
LlamaIndex provides unique advantages when paired with Rocketlane through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Rocketlane tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Rocketlane tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Rocketlane, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Rocketlane tools were called, what data was returned, and how it influenced the final answer
Rocketlane + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Rocketlane MCP Server delivers measurable value.
Hybrid search: combine Rocketlane real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Rocketlane 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 Rocketlane for fresh data
Analytical workflows: chain Rocketlane queries with LlamaIndex's data connectors to build multi-source analytical reports
Example Prompts for Rocketlane in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Rocketlane immediately.
"List all active projects in my Rocketlane account."
"Show me all active customer onboarding projects with their completion percentages and health status."
"Create a new onboarding project for DataVault Inc using the Enterprise Onboarding template."
Troubleshooting Rocketlane MCP Server with LlamaIndex
Common issues when connecting Rocketlane to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpRocketlane + LlamaIndex FAQ
Common questions about integrating Rocketlane MCP Server with LlamaIndex.