How to Use the Clever Cloud (Developer PaaS API) MCP in LlamaIndex

Q: How do I integrate Clever Cloud (Developer PaaS API) with LlamaIndex?

Install the llama-index-tools-mcp package. Initialize a BasicMCPClient with your Vinkius URL, wrap it in an McpToolSpec, and pass the async tool list to your FunctionAgent.

Q: How do I index my Clever Cloud (Developer PaaS API) logs?

Set up a routine that calls getapplicationlogs through the agent. LlamaIndex will take the text output, split it into nodes, and store it in your preferred vector database.

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Connect Clever Cloud (Developer PaaS API) MCP to LlamaIndex

Create your Vinkius account to connect Clever Cloud (Developer PaaS API) to LlamaIndex and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Clever Cloud (Developer PaaS API) with LlamaIndex

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Perplexity

Query live Clever Cloud (Developer PaaS API) state

Documentation gets outdated the second you deploy. LlamaIndex fixes this by turning your actual running infrastructure into a queryable index. You pull live configurations using `list_applications` and `list_instances`. The agent processes these API responses and embeds them into your vector store. When a developer asks about the staging environment, the system searches the index and returns facts grounded in real data.

Index application logs for semantic search

Grepping through raw text is tedious. By attaching this MCP Server, your agent can fetch recent error streams via `get_application_logs`. It chunks and indexes those log lines automatically. You can then ask natural language questions about system failures. The agent retrieves the exact log context and cross-references it with app details from `get_application` to explain what went wrong.

Map your entire addon architecture

Keeping track of databases and caches across multiple teams is hard. Your LlamaIndex setup can regularly poll `list_organizations` and `list_addons` to build an organizational map. This creates a living architecture document. If someone needs to know which apps connect to a specific PostgreSQL instance, the `get_addon` tool provides the metadata, and the agent answers immediately.

Setup guide

Set up Clever Cloud (Developer PaaS API) MCP in LlamaIndex

Prerequisites

Python 3.10+ installed
llama-index-tools-mcp package
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai. The MCP tools package provides BasicMCPClient and McpToolSpec.
2

Connect with BasicMCPClient
Point BasicMCPClient to your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports SSE and Streamable HTTP transports.
3

Convert to LlamaIndex tools
Call mcp_tool_spec.to_tool_list_async() to convert all Clever Cloud (Developer PaaS API) MCP tools into native FunctionTool objects that any LlamaIndex agent can use.
4

Run with any LLM
Create a FunctionAgent with the tools and your preferred LLM. Swap OpenAI for Anthropic, Gemini, or any LlamaIndex-supported provider.

agent.py

from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

# Connect to the MCP
mcp_client = BasicMCPClient(
    "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
mcp_tool_spec = McpToolSpec(client=mcp_client)

# Convert MCP tools to LlamaIndex tools
tools = await mcp_tool_spec.to_tool_list_async()

# Create and run the agent
agent = FunctionAgent(
    tools=tools,
    llm=OpenAI(model="gpt-4o"),
    system_prompt="You have access to Clever Cloud (Developer PaaS API) tools.",
)
response = await agent.run("List recent Clever Cloud (Developer PaaS API) data")

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Common questions about Clever Cloud (Developer PaaS API) MCP in LlamaIndex

Install the `llama-index-tools-mcp` package. Initialize a `BasicMCPClient` with your Vinkius URL, wrap it in an `McpToolSpec`, and pass the async tool list to your `FunctionAgent`.

Yes. While it excels at reading data, the agent can also execute writes. It can call `trigger_deployment` if you grant it permission to use that specific MCP tool.

Set up a routine that calls `get_application_logs` through the agent. LlamaIndex will take the text output, split it into nodes, and store it in your preferred vector database.

It figures that out by querying the graph of resources. It runs `list_organization_applications` and links those records against your available addons during the indexing phase.

Vinkius handles the underlying authentication via a zero-trust, ephemeral sandbox. The MCP Server only returns API metadata like instance IDs and log text, keeping raw environment variables out of the vector store unless explicitly requested.

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