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Aidbase MCP Server for LlamaIndexGive LlamaIndex instant access to 11 tools to Add Aidbase Faq Item, Add Aidbase Website Knowledge, Check Aidbase Status, and more

Built by Vinkius GDPR 11 Tools Framework

LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Aidbase 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 Aidbase app connector for LlamaIndex is a standout in the Productivity category — giving your AI agent 11 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 Aidbase. "
            "You have 11 tools available."
        ),
    )

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

asyncio.run(main())
Aidbase
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* 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 Aidbase MCP Server

Connect your Aidbase account to any AI agent and take full control of your automated customer support and intelligent knowledge management workflows through natural conversation.

LlamaIndex agents combine Aidbase tool responses with indexed documents for comprehensive, grounded answers. Connect 11 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

  • Chatbot Orchestration — List and manage all configured AI chatbots programmatically, retrieving detailed high-fidelity metadata and configuration settings in real-time
  • Knowledge Graph Ingestion — Programmatically update what your AI knows by pushing new website URLs or injecting specific Q&A items into existing FAQs dynamically
  • Conversational Intelligence — Send messages and retrieve high-fidelity AI responses from specific chatbots to test performance or integrate chat into custom workflows
  • AI Email Inbox Management — Access and monitor your automated email responders and their assigned knowledge bases to ensure perfectly coordinated context application
  • Operational Monitoring — Verify API connectivity and retrieve account-level status directly through your agent for instant performance reporting

The Aidbase MCP Server exposes 11 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 11 Aidbase tools available for LlamaIndex

When LlamaIndex connects to Aidbase through Vinkius, your AI agent gets direct access to every tool listed below — spanning aidbase, chatbot-api, knowledge-base-automation, 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.

add_aidbase_faq_item

Add FAQ to knowledge base

add_aidbase_website_knowledge

Add a website to knowledge base

check_aidbase_status

Check API Status

get_aidbase_chatbot

Get Chatbot details

get_aidbase_inbox

Get AI Inbox details

list_aidbase_chatbot_knowledge

List Chatbot knowledge items

list_aidbase_chatbots

List all AI Chatbots

list_aidbase_inbox_knowledge

List Inbox knowledge items

list_aidbase_inboxes

List Email AI Inboxes

list_aidbase_knowledge

List all Knowledge items

send_aidbase_reply

Send a message to a Chatbot

Connect Aidbase to LlamaIndex via MCP

Follow these steps to wire Aidbase 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 11 tools from Aidbase

Why Use LlamaIndex with the Aidbase MCP Server

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

01

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

02

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

03

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

04

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

Aidbase + LlamaIndex Use Cases

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

01

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

02

Data enrichment: query Aidbase 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 Aidbase for fresh data

04

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

Example Prompts for Aidbase in LlamaIndex

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

01

"List all configured chatbots in my Aidbase account."

02

"Add 'https://docs.vinkius.com/faq' to my AI knowledge base."

03

"Send a message to chatbot 'bot_123': 'What is your refund policy?'."

Troubleshooting Aidbase MCP Server with LlamaIndex

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

01

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

Aidbase + LlamaIndex FAQ

Common questions about integrating Aidbase 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 Aidbase 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.