Bring Ai Recruiting
to LlamaIndex
Learn how to connect Mav to LlamaIndex and start using 9 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
What is the Mav MCP Server?
Connect your Mav AI recruiting account to any AI agent and manage candidate screening through natural conversation.
What you can do
- Candidate Screening — Trigger automated AI screening conversations
- SMS Campaigns — Launch and manage outbound SMS recruiting campaigns
- Lead Management — Browse candidates and their qualification status
- Engagement Tracking — Monitor open rates, reply rates, and drop-offs
- Interview Data — Access responses and screening transcripts
How it works
1. Subscribe to this server
2. Enter your Mav API Key
3. Start managing recruiting campaigns from Claude, Cursor, or any MCP-compatible client
Who is this for?
- Recruiters — automate initial candidate screening at scale
- Talent Acquisition — run high-volume SMS outreach campaigns
- HR Ops — monitor hiring funnel metrics and candidate engagement
Built-in capabilities (9)
Create a lead and trigger a playbook
Get details for a specific lead
Get details for a specific playbook
List recent activities/events
List all leads
List all available Mav playbooks
Manually opt-out a lead
Stop a running playbook for a lead
Update an existing lead
Why LlamaIndex?
LlamaIndex agents combine Mav tool responses with indexed documents for comprehensive, grounded answers. Connect 9 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.
- —
Data-first architecture: LlamaIndex agents combine Mav tool responses with indexed documents for comprehensive, grounded answers
- —
Query pipeline framework lets you chain Mav tool calls with transformations, filters, and re-rankers in a typed pipeline
- —
Multi-source reasoning: agents can query Mav, a vector store, and a SQL database in a single turn and synthesize results
- —
Observability integrations show exactly what Mav tools were called, what data was returned, and how it influenced the final answer
Mav in LlamaIndex
Mav and 3,400+ other MCP servers. One platform. One governance layer.
Teams that connect Mav 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 Mav in LlamaIndex
The Mav 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 9 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
Mav for LlamaIndex
Every tool call from LlamaIndex to the Mav MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
Can I trigger AI screening conversations?
Yes. Launch SMS or web-based screening flows and track candidate responses automatically.
How does Mav authentication work?
Mav uses a custom API Key header against hiremav.com/api/v2.
Can I track campaign engagement metrics?
Yes. Monitor open rates, reply rates, completion rates, and candidate drop-off 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 Mav 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
