Bring Interoperability
to LlamaIndex
Learn how to connect Mio to LlamaIndex and start using 12 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
What is the Mio MCP Server?
Connect your Mio account to any AI agent and manage automated phone calls through natural conversation.
What you can do
- Outbound Calls — Start AI-powered phone calls with custom scripts and instructions
- Call Logs — Browse call history with status, duration, and outcomes
- Transcripts — Retrieve full text transcriptions of completed calls
- AI Summaries — Get AI-generated summaries and extracted data from calls
- Voice Selection — Choose from multiple neural voices for the AI agent
- Webhooks — Configure event notifications for call status changes
- Call Control — Terminate active calls in real time
- Account — Check credit balance and account information
How it works
1. Subscribe to this server
2. Enter your Mio API Key
3. Start making AI calls from Claude, Cursor, or any MCP-compatible client
Who is this for?
- Sales Teams — automate outbound prospecting calls with AI agents
- Customer Service — deploy AI voice agents for appointment confirmations
- Developers — build voice-first AI applications with call transcripts
Built-in capabilities (12)
Add new notification
Remove a webhook
Get user profile
Get specific call info
Get AI call summary
Get call text log
Check account funds
List AI voices
List all call logs
Get active webhooks
Start an AI phone call
Stop active call
Why LlamaIndex?
LlamaIndex agents combine Mio tool responses with indexed documents for comprehensive, grounded answers. Connect 12 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 Mio tool responses with indexed documents for comprehensive, grounded answers
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Query pipeline framework lets you chain Mio tool calls with transformations, filters, and re-rankers in a typed pipeline
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Multi-source reasoning: agents can query Mio, a vector store, and a SQL database in a single turn and synthesize results
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Observability integrations show exactly what Mio tools were called, what data was returned, and how it influenced the final answer
Mio in LlamaIndex
Mio and 3,400+ other MCP servers. One platform. One governance layer.
Teams that connect Mio 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 Mio in LlamaIndex
The Mio 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 12 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
Mio for LlamaIndex
Every tool call from LlamaIndex to the Mio MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
Can I start an automated AI phone call?
Yes. Provide a phone number, instructions for the AI agent, and optionally select a voice. Mio will call and follow the script autonomously.
How does Mio authentication work?
Mio requires an API Key sent via the X-API-Key header against api.mio.gg/api/v1.
Can I get transcripts and AI summaries?
Yes. After a call completes, retrieve the full text transcript and an AI-generated summary with extracted data points.
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 Mio 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