Hygraph (Headless 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 Hygraph (Headless 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 Hygraph (Headless CMS). "
"You have 10 tools available."
),
)
response = await agent.run(
"What tools are available in Hygraph (Headless 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 Hygraph (Headless CMS) MCP Server
Connect your Hygraph project to any AI agent and take full control of your federated content and headless CMS architecture through natural conversation.
LlamaIndex agents combine Hygraph (Headless 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
- GraphQL Orchestration — Execute complex nested queries and mutations directly from your agent to fetch or update structured content without manual REST endpoints
- Schema Introspection — Discover content models and list available fields to understand your project's data structure and scalar parameters automatically
- Document Lifecycle — Create, update, and publish CMS documents, moving content from Draft to Published stages with precise ID targeting
- Media Management — Enumerate media assets and retrieve secure handles and cloud URLs required for frontend delivery and display
- Localization Audit — List project locales and translation spaces to identify which content stages are mapped to specific internationalization rules
- Cleanup Operations — Irreversibly delete specific content nodes and documents to maintain a clean and optimized content repository
The Hygraph (Headless 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 Hygraph (Headless CMS) to LlamaIndex via MCP
Follow these steps to integrate the Hygraph (Headless 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 Hygraph (Headless CMS)
Why Use LlamaIndex with the Hygraph (Headless CMS) MCP Server
LlamaIndex provides unique advantages when paired with Hygraph (Headless CMS) through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Hygraph (Headless CMS) tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Hygraph (Headless CMS) tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Hygraph (Headless CMS), a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Hygraph (Headless CMS) tools were called, what data was returned, and how it influenced the final answer
Hygraph (Headless CMS) + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Hygraph (Headless CMS) MCP Server delivers measurable value.
Hybrid search: combine Hygraph (Headless CMS) real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Hygraph (Headless 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 Hygraph (Headless CMS) for fresh data
Analytical workflows: chain Hygraph (Headless CMS) queries with LlamaIndex's data connectors to build multi-source analytical reports
Hygraph (Headless CMS) MCP Tools for LlamaIndex (10)
These 10 tools become available when you connect Hygraph (Headless CMS) to LlamaIndex via MCP:
create_cms_document
Dispatch an automated validation check routing Dynamic Model creation
execute_graphql_mutation
Provision a highly-available JSON Payload resolving direct Schema writes
execute_graphql_query
Identify bounded routing spaces inside the Headless Hygraph limits using pure GraphQL
get_model_fields
Inspect deep internal arrays mitigating specific Content configurations
list_media_assets
Enumerate explicitly attached structured rules defining Media limits
list_project_locales
Identify precise active arrays spanning Translation spaces
list_schema_introspection
types` executing an introspection determining automatically which Models the Project hosts. Retrieve explicit Cloud logging tracing Model names
publish_cms_document
Perform structural extraction of properties driving an explicit Live shift
update_cms_document
Mutate global Web CRM boundaries substituting Draft values safely
wipe_cms_document
Irreversibly vaporize explicit Content arrays returning clean states
Example Prompts for Hygraph (Headless CMS) in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Hygraph (Headless CMS) immediately.
"List all content models in my project"
"Show me the fields for the 'BlogPost' model"
"Execute a query to get the title and slug of the last 3 published posts"
Troubleshooting Hygraph (Headless CMS) MCP Server with LlamaIndex
Common issues when connecting Hygraph (Headless CMS) to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpHygraph (Headless CMS) + LlamaIndex FAQ
Common questions about integrating Hygraph (Headless 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 Hygraph (Headless 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 Hygraph (Headless CMS) to LlamaIndex
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.