Bring Applicant Tracking
to LlamaIndex
Learn how to connect ApplicantStack to LlamaIndex and start using 7 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
GDPR Free for Subscribers
What is the ApplicantStack MCP Server?
The ApplicantStack MCP Server integrates your recruiting and onboarding workflows directly into your AI workspace. Efficiently manage your job listings, track candidate progress through custom stages, and streamline your hiring process using simple natural language.
Key Features
- Job Management — List all active and closed job openings, and retrieve full metadata for any specific listing.
- Candidate Tracking — Access your entire applicant database and filter by workflow stage or score.
- Workflow Automation — Move candidates between stages (e.g., from 'Interview' to 'Hired') and update their profiles instantly.
- Onboarding & Hires — Access onboarding data for new hires to ensure a smooth transition from applicant to employee.
- Secure Access — Uses private access tokens to safely interact with your organization's recruiting data.
Benefits for Teams
- Recruiters — Quickly check the status of candidates for multiple jobs without switching between tabs.
- Hiring Managers — Review candidate profiles and scores using AI-assisted summaries.
- HR Teams — Track hiring trends and ensure onboarding tasks are initiated for all new hires.
Built-in capabilities (7)
Verify ApplicantStack account connection
Get details for a specific candidate
Get details for a specific job
List all candidates
List all hires (onboarding)
List all job listings in ApplicantStack
Use stage field to move them in the workflow. Update candidate information or stage
Why LlamaIndex?
LlamaIndex agents combine ApplicantStack tool responses with indexed documents for comprehensive, grounded answers. Connect 7 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 ApplicantStack tool responses with indexed documents for comprehensive, grounded answers
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Query pipeline framework lets you chain ApplicantStack tool calls with transformations, filters, and re-rankers in a typed pipeline
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Multi-source reasoning: agents can query ApplicantStack, a vector store, and a SQL database in a single turn and synthesize results
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Observability integrations show exactly what ApplicantStack tools were called, what data was returned, and how it influenced the final answer
ApplicantStack in LlamaIndex
ApplicantStack and 3,400+ other MCP servers. One platform. One governance layer.
Teams that connect ApplicantStack 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 ApplicantStack in LlamaIndex
The ApplicantStack 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 7 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
ApplicantStack for LlamaIndex
Every tool call from LlamaIndex to the ApplicantStack 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 ApplicantStack API Token?
Log in to ApplicantStack, go to Settings, then Edit Settings. Your API token will be listed under the API section.
What is the subdomain?
The subdomain is the first part of your ApplicantStack URL (e.g., if your URL is mycompany.applicantstack.com, your subdomain is mycompany).
Can I move a candidate to a new stage?
Yes, use the update_candidate tool and provide the new stage name in the stage field to advance them in your workflow.
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 ApplicantStack 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