Bring Aidbase
to LlamaIndex
Learn how to connect Aidbase to LlamaIndex and start using 11 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
What is the 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.
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
How it works
1. Subscribe to this server
2. Retrieve your API Key from your Aidbase dashboard (Settings > API Keys)
3. Start orchestrating your customer service intelligence from Claude, Cursor, or any MCP client
No more manual logging into support portals to update FAQs or check bot logs. Your AI acts as your dedicated support engineer and knowledge architect.
Who is this for?
- Customer Support Leads — instantly update AI knowledge bases with fresh documentation using natural language commands
- Product Managers — monitor chatbot interactions and verify responder accuracy without leaving your workspace
- Developers — integrate high-speed AI support intelligence into custom internal tools through simple AI queries
Built-in capabilities (11)
Add FAQ to knowledge base
Add a website to knowledge base
Check API Status
Get Chatbot details
Get AI Inbox details
List Chatbot knowledge items
List all AI Chatbots
List Inbox knowledge items
List Email AI Inboxes
List all Knowledge items
Send a message to a Chatbot
Why LlamaIndex?
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.
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Data-first architecture: LlamaIndex agents combine Aidbase tool responses with indexed documents for comprehensive, grounded answers
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Query pipeline framework lets you chain Aidbase tool calls with transformations, filters, and re-rankers in a typed pipeline
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Multi-source reasoning: agents can query Aidbase, a vector store, and a SQL database in a single turn and synthesize results
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Observability integrations show exactly what Aidbase tools were called, what data was returned, and how it influenced the final answer
Aidbase in LlamaIndex
Aidbase and 3,400+ other MCP servers. One platform. One governance layer.
Teams that connect Aidbase to LlamaIndex through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.
Raw MCP | Vinkius | |
|---|---|---|
| Server catalog | Find and host yourself | 3,400+ managed |
| Infrastructure | Self-hosted | Sandboxed V8 isolates |
| Credential handling | Plaintext in config | Vault + runtime injection |
| Data loss prevention | None | Configurable DLP policies |
| Kill switch | None | Global instant shutdown |
| Financial circuit breakers | None | Per-server limits + alerts |
| Audit trail | None | Ed25519 signed logs |
| SIEM log streaming | None | Splunk, Datadog, Webhook |
| Honeytokens | None | Canary alerts on leak |
| Custom domains | Not applicable | DNS challenge verified |
| GDPR compliance | Manual effort | Automated purge + export |
Why teams choose Vinkius for Aidbase in LlamaIndex
The Aidbase 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. All 11 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in LlamaIndex only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.
* 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
How Vinkius secures
Aidbase for LlamaIndex
Every tool call from LlamaIndex to the Aidbase MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
How do I find my Aidbase API Key?
Log in to your account, navigate to Settings > API Keys, and generate a new key for your integration.
Can I test bot responses via AI?
Yes! The send_aidbase_reply tool allows your agent to interact with specific bots and retrieve high-fidelity AI responses programmatically.
How do I teach the AI a new URL?
Use the add_aidbase_website_knowledge tool and provide the target URL. Aidbase will automatically crawl and index the content for your bots.
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.
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.
Does LlamaIndex support async MCP calls?
Yes. LlamaIndex's async agent framework supports concurrent MCP tool calls for high-throughput data processing pipelines.
BasicMCPClient not found
Install: pip install llama-index-tools-mcp