Agility CMS MCP Server for LlamaIndex 10 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Agility CMS as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
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Vinkius supports streamable HTTP and SSE.
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 Agility CMS. "
"You have 10 tools available."
),
)
response = await agent.run(
"What tools are available in Agility CMS?"
)
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 Agility CMS MCP Server
Connect your Agility CMS instance to your AI agent and turn it into the ultimate Headless CMS assistant. Skip manual API queries and interact directly with your content architecture using natural language.
LlamaIndex agents combine Agility CMS tool responses with indexed documents for comprehensive, grounded answers. Connect 10 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
- Sitemap & Routing — Retrieve nested sitemap trees or flat router architectures to understand how your channels are structured
- Content Lists — Search, list, and count items across specific CMS references like articles, authors, or products
- Page Layouts — Fetch exact page modules, UI components mapping, and structural layout definitions using Page IDs
- Content Operations — Read full content payloads for individual items and synchronize granular CMS updates over time
- Media Galleries — Fetch specific media asset groups and tracking galleries for imagery
The Agility CMS MCP Server exposes 10 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.
How to Connect Agility CMS to LlamaIndex via MCP
Follow these steps to integrate the Agility CMS MCP Server with LlamaIndex.
Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.py and run: python agent.py
Explore tools
The agent discovers 10 tools from Agility CMS
Why Use LlamaIndex with the Agility CMS MCP Server
LlamaIndex provides unique advantages when paired with Agility CMS through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Agility CMS tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Agility CMS tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Agility CMS, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Agility CMS tools were called, what data was returned, and how it influenced the final answer
Agility CMS + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Agility CMS MCP Server delivers measurable value.
Hybrid search: combine Agility CMS real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Agility CMS 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 Agility CMS for fresh data
Analytical workflows: chain Agility CMS queries with LlamaIndex's data connectors to build multi-source analytical reports
Agility CMS MCP Tools for LlamaIndex (10)
These 10 tools become available when you connect Agility CMS to LlamaIndex via MCP:
count_reference_items
Get the total size/count of items in a specific Reference List
get_media_gallery
Retrieve a specific media gallery mapping containing photos
get_page_layout
Retrieve the layout and structural modules of a single Page
get_single_item
g., an article body) knowing its numeric content ID. Retrieve a single Agility CMS content item by its ID
get_site_flat_router
Retrieve the exact flat list of all CMS routes/pages
get_site_tree
Requires the target channel name. Retrieve the nested sitemap architecture of a digital channel
list_content_items
g. blog posts, articles, authors). The items are retrieved from the Headless CMS environment. List content items from an Agility CMS Reference list
search_content_reference
Search for specific keywords inside a Content Reference List
sync_incremental_items
Start with 0 for full backup. Get incrementally updated items since the last sync token
sync_incremental_pages
Start with 0 for a full fetch. Get incrementally updated pages since the last sync token
Example Prompts for Agility CMS in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Agility CMS immediately.
"Get the flat sitemap for our website to see all registered routes."
"Search the 'blog_posts' reference list for the keyword 'announcement'."
"Retrieve the full page layout and modules for page ID 12."
Troubleshooting Agility CMS MCP Server with LlamaIndex
Common issues when connecting Agility CMS to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpAgility CMS + LlamaIndex FAQ
Common questions about integrating Agility CMS MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
Connect Agility CMS with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Agility CMS to LlamaIndex
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.