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How to Use the Diputación de Alicante MCP in LlamaIndex

Index Alicante's municipal budgets and population records directly into LlamaIndex vector stores.

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Connect Diputación de Alicante MCP to LlamaIndex

Create your Vinkius account to connect Diputación de Alicante 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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Indexing Alicante's demographic trends in LlamaIndex

The `get_population_register` tool extracts historical population changes across Alicante's municipalities for ingestion into LlamaIndex. This tool feeds raw demographic numbers directly into your LlamaIndex ingestion pipeline. You parse this demographic output of Alicante into LlamaIndex document nodes for semantic searching. This lets your LlamaIndex agent answer complex population queries using actual provincial records rather than training data.

Analyzing Alicante's public debt with MCP Server tools

The `get_live_debt` tool retrieves the outstanding financial liabilities of Alicante's municipal governments for LlamaIndex. It delivers clean, structured financial metrics directly to your LlamaIndex RAG application. Your LlamaIndex agent combines this with `get_municipal_budgets` to build a searchable index of local fiscal health in Alicante. This removes the need to manually scrape PDF budget reports for your LlamaIndex vector store.

Retrieving Alicante's cultural assets for LlamaIndex indices

The `get_cultural_centers` tool pulls local facility directories and coordinates in Alicante for your LlamaIndex pipeline. It provides immediate, structured data for your LlamaIndex index. You can pair this with `get_blue_flags` to evaluate coastal amenities and municipal infrastructure in Alicante. LlamaIndex stores these records as nodes, making local tourism data instantly searchable within your index.

Setup guide

Set up Diputación de Alicante MCP in LlamaIndex

Prerequisites

  • Python 3.10+ installed
  • llama-index-tools-mcp package
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install dependencies

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

  2. 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. 3

    Convert to LlamaIndex tools

    Call mcp_tool_spec.to_tool_list_async() to convert all Diputación de Alicante MCP tools into native FunctionTool objects that any LlamaIndex agent can use.

  4. 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 Diputación de Alicante tools.",
)
response = await agent.run("List recent Diputación de Alicante data")

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Diputación de Alicante. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about Diputación de Alicante MCP in LlamaIndex

Use `llama-index-tools-mcp` to initialize the client and convert the tools. This exposes endpoints like `get_municipal_budgets` as standard tools for your LlamaIndex `FunctionAgent`.
Yes, you can fetch raw data using `get_provincial_budget_evolution` and index the text nodes into your vector store. LlamaIndex allows your agent to query this historical financial data.
By querying `get_foreign_population_stats` directly, your pipeline pulls real-time data instead of relying on static documents. This prevents your LlamaIndex model from hallucinating population figures.
You can use the `allowed_tools` filter during LlamaIndex initialization to restrict access to specific tools like `get_elections_results`. This keeps your LlamaIndex agent focused on relevant Alicante municipal data.
Your requests to `get_live_debt` or `get_public_debt` execute in an ephemeral MCP sandbox. No municipal debt queries or budget parameters are written to permanent storage.

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