Landing MCP Server for LlamaIndexGive LlamaIndex instant access to 7 tools to Create Landing Webhook, Delete Landing Webhook, Get My Landing Profile, and more
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Landing 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 Landing app connector for LlamaIndex is a standout in the Productivity category — giving your AI agent 7 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 Landing. "
"You have 7 tools available."
),
)
response = await agent.run(
"What tools are available in Landing?"
)
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 Landing MCP Server
Connect your Landing account to any AI agent and manage landing pages through natural conversation.
LlamaIndex agents combine Landing tool responses with indexed documents for comprehensive, grounded answers. Connect 7 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
- Page Management — List, create, and manage landing pages
- Lead Tracking — Browse captured leads with form data and conversion source
- Template Library — Access pre-built templates for quick page creation
- Analytics Monitoring — Track page views, conversions, and bounce rates
The Landing MCP Server exposes 7 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 7 Landing tools available for LlamaIndex
When LlamaIndex connects to Landing through Vinkius, your AI agent gets direct access to every tool listed below — spanning landing-page, conversion-tracking, ab-testing, 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.
g., lead.created). Create a new webhook
Delete a webhook
Get authenticated user info
List captured leads
List landing pages
List all landing projects
List active webhooks
Connect Landing to LlamaIndex via MCP
Follow these steps to wire Landing 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 Landing MCP Server
LlamaIndex provides unique advantages when paired with Landing through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Landing tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Landing tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Landing, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Landing tools were called, what data was returned, and how it influenced the final answer
Landing + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Landing MCP Server delivers measurable value.
Hybrid search: combine Landing real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Landing 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 Landing for fresh data
Analytical workflows: chain Landing queries with LlamaIndex's data connectors to build multi-source analytical reports
Example Prompts for Landing in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Landing immediately.
"Show all landing pages with conversion rates and today's leads."
"Show leads captured from the SaaS Free Trial page this week."
"Browse templates and show page analytics for the Webinar page."
Troubleshooting Landing MCP Server with LlamaIndex
Common issues when connecting Landing to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpLanding + LlamaIndex FAQ
Common questions about integrating Landing MCP Server with LlamaIndex.