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Bureau24 MCP Server for LlamaIndexGive LlamaIndex instant access to 10 tools to Create Contact, Get Call, Get Me, and more

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LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Bureau24 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 Bureau24 app connector for LlamaIndex is a standout in the Productivity category — giving your AI agent 10 tools to work with, ready to go from day one.

Vinkius delivers Streamable HTTP and SSE to any MCP client

python
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 Bureau24. "
            "You have 10 tools available."
        ),
    )

    response = await agent.run(
        "What tools are available in Bureau24?"
    )
    print(response)

asyncio.run(main())
Bureau24
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 Bureau24 MCP Server

Connect your Bureau24 (bureau24.fr) virtual secretary account to any AI agent and simplify how you coordinate incoming calls, customer messages, and professional availability through natural conversation.

LlamaIndex agents combine Bureau24 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

  • Call Management — List all calls handled by your virtual receptionist and retrieve detailed notes and participant info.
  • Message Oversight — List and inspect messages and notifications sent by the Bureau24 service regarding your business activity.
  • Availability Control — Update your current status (Available, Busy, Away) and provide real-time notes for the secretary on how to handle callers.
  • Contact Directory — Manage your address book by listing and creating contacts to help the secretary identify regular callers.
  • Instruction Oversight — Query your standing instructions to verify how calls are being processed by the virtual team.
  • Account Visibility — Fetch your profile details and verify your current subscription and account metadata.

The Bureau24 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.

All 10 Bureau24 tools available for LlamaIndex

When LlamaIndex connects to Bureau24 through Vinkius, your AI agent gets direct access to every tool listed below — spanning virtual-receptionist, call-routing, call-logging, 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.

create_contact

Add a new contact to your address book

get_call

Get details of a specific call

get_me

fr account and subscription. Get account information

get_message

Get details of a specific message

get_secretary_status

Get your current secretary status

list_calls

List recent calls received by bureau24.fr

list_contacts

List your address book contacts

list_instructions

List secretary handling instructions

list_messages

List messages from your virtual secretary

update_secretary_status

g., Available, In a Meeting, On Vacation) and provides a note for the secretary. Update your availability status

Connect Bureau24 to LlamaIndex via MCP

Follow these steps to wire Bureau24 into LlamaIndex. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

01

Install dependencies

Run pip install llama-index-tools-mcp llama-index-llms-openai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the agent

Save to agent.py and run: python agent.py
04

Explore tools

The agent discovers 10 tools from Bureau24

Why Use LlamaIndex with the Bureau24 MCP Server

LlamaIndex provides unique advantages when paired with Bureau24 through the Model Context Protocol.

01

Data-first architecture: LlamaIndex agents combine Bureau24 tool responses with indexed documents for comprehensive, grounded answers

02

Query pipeline framework lets you chain Bureau24 tool calls with transformations, filters, and re-rankers in a typed pipeline

03

Multi-source reasoning: agents can query Bureau24, a vector store, and a SQL database in a single turn and synthesize results

04

Observability integrations show exactly what Bureau24 tools were called, what data was returned, and how it influenced the final answer

Bureau24 + LlamaIndex Use Cases

Practical scenarios where LlamaIndex combined with the Bureau24 MCP Server delivers measurable value.

01

Hybrid search: combine Bureau24 real-time data with embedded document indexes for answers that are both current and comprehensive

02

Data enrichment: query Bureau24 to augment indexed data with live information before generating user-facing responses

03

Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Bureau24 for fresh data

04

Analytical workflows: chain Bureau24 queries with LlamaIndex's data connectors to build multi-source analytical reports

Example Prompts for Bureau24 in LlamaIndex

Ready-to-use prompts you can give your LlamaIndex agent to start working with Bureau24 immediately.

01

"List all recent calls handled by my virtual secretary."

02

"Set my status to 'busy' and tell the secretary I am in a workshop until 2 PM."

03

"Show me the latest message from the Bureau24 service."

Troubleshooting Bureau24 MCP Server with LlamaIndex

Common issues when connecting Bureau24 to LlamaIndex through the Vinkius, and how to resolve them.

01

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

Bureau24 + LlamaIndex FAQ

Common questions about integrating Bureau24 MCP Server with LlamaIndex.

01

How does LlamaIndex connect to MCP servers?

Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.
02

Can I combine MCP tools with vector stores?

Yes. LlamaIndex agents can query Bureau24 tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.
03

Does LlamaIndex support async MCP calls?

Yes. LlamaIndex's async agent framework supports concurrent MCP tool calls for high-throughput data processing pipelines.