3,400+ MCP servers ready to use
Vinkius

Bring Background Screening
to VS Code Copilot

Learn how to connect InfoVetted to VS Code Copilot and start using 12 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.

Cancel Active VettingCheck Api ConnectivityCreate Contact GroupCreate New Vetting CheckCreate Screening ContactGet Contact DetailsGet Vetting Request StatusList Configured WebhooksList Contact GroupsList Screening ContactsList Supported Check TypesList Vetting Requests

What is the InfoVetted MCP Server?

Connect your InfoVetted account to any AI agent and manage background checks through natural conversation.

What you can do

  • Vetting Requests — List all vetting requests, create new background checks, check status, and cancel active vettings
  • Screening Contacts — Manage contacts for screening with full profile data, create new screening contacts, and inspect individual records
  • Package Management — Browse available vetting packages and their included checks
  • Result Tracking — Monitor check results with pass/fail status and compliance details
  • Activity History — View submission and completion timelines

How it works

1. Subscribe to this server
2. Enter your InfoVetted API Key
3. Start managing background checks from Claude, Cursor, or any MCP-compatible client

Who is this for?

  • HR Teams — initiate background checks on candidates and track results
  • Compliance Officers — monitor vetting status and ensure regulatory compliance
  • Staffing Agencies — manage high-volume screening workflows through AI

Built-in capabilities (12)

cancel_active_vetting

Cancel a background check

check_api_connectivity

Verify InfoVetted API status

create_contact_group

g., "Engineering Team"). Create a new organization group

create_new_vetting_check

Initiate a background check

create_screening_contact

Add a new individual for screening

get_contact_details

Get details for a specific individual

get_vetting_request_status

Check status of a vetting process

list_configured_webhooks

List active webhooks

list_contact_groups

List organizational contact groups

list_screening_contacts

List individuals being screened

list_supported_check_types

). List available background check types

list_vetting_requests

List all background check requests

Why VS Code Copilot?

GitHub Copilot Agent mode brings InfoVetted data directly into your VS Code workflow. With a project-scoped config, the entire team shares access to 12 tools. Copilot queries live data, generates typed code, and writes tests from actual API responses, all without leaving the editor.

  • VS Code is used by over 70% of developers. adding MCP tools to Copilot means your team can leverage external data without leaving their primary editor

  • Project-scoped MCP configs (.vscode/mcp.json) let you commit server configurations to your repository, ensuring the entire team shares the same tool access

  • Copilot's Agent mode integrates MCP tools seamlessly with file editing, terminal commands, and workspace search in a single agentic loop

  • GitHub's enterprise compliance and audit features extend to MCP tool usage, providing visibility into how AI interacts with external services

See it in action

InfoVetted in VS Code Copilot

AI AgentVinkius
High Security·Kill Switch·Plug and Play
Why Vinkius

InfoVetted and 3,400+ other MCP servers. One platform. One governance layer.

Teams that connect InfoVetted to VS Code Copilot 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.

3,400+MCP Servers ready
<40msCold start
60%Token savings
Raw MCP
Vinkius
Server catalogFind and host yourself3,400+ managed
InfrastructureSelf-hostedSandboxed V8 isolates
Credential handlingPlaintext in configVault + runtime injection
Data loss preventionNoneConfigurable DLP policies
Kill switchNoneGlobal instant shutdown
Financial circuit breakersNonePer-server limits + alerts
Audit trailNoneEd25519 signed logs
SIEM log streamingNoneSplunk, Datadog, Webhook
HoneytokensNoneCanary alerts on leak
Custom domainsNot applicableDNS challenge verified
GDPR complianceManual effortAutomated purge + export
Enterprise Security

Why teams choose Vinkius for InfoVetted in VS Code Copilot

The InfoVetted 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 VS Code Copilot 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.

InfoVetted
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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

The Vinkius Advantage

How Vinkius secures InfoVetted for VS Code Copilot

Every tool call from VS Code Copilot to the InfoVetted MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.

< 40msCold start
Ed25519Signed audit chain
60%Token savings
FAQ

Frequently asked questions

01

Can I initiate a background check through the AI agent?

Yes. Use create_new_vetting_check with the contact ID and vetting package to initiate a background check. Use create_screening_contact first if the person isn't in your system. Track progress with get_vetting_request_status.

02

Can I track the status of active vetting requests?

Yes. Use list_vetting_requests to see all requests with their current status. Use get_vetting_request_status for detailed progress on a specific check. Use cancel_active_vetting to stop a check that's no longer needed.

03

Can I manage screening contacts and their data?

Yes. Use list_screening_contacts to browse all contacts, get_screening_contact for individual profiles, and create_screening_contact to add new people to the system. Each contact can have multiple vetting requests associated.

04

Which VS Code version supports MCP?

MCP support requires VS Code 1.99 or later with the GitHub Copilot extension. Ensure both are updated to the latest version. Older versions of Copilot may not expose the Agent mode toggle.

05

How do I switch to Agent mode?

Open the Copilot Chat panel and look for two mode options: "Ask" and "Agent". Click "Agent" to enable autonomous tool calling. In Ask mode, Copilot provides conversational answers but cannot invoke MCP tools.

06

Can I restrict which MCP tools Copilot can access?

Yes. VS Code shows a tool consent dialog before any MCP tool is invoked for the first time. You can also configure tool access policies at the organization level through GitHub Copilot settings.

07

Does MCP work in VS Code Remote or Codespaces?

Yes. MCP servers configured via .vscode/mcp.json work in Remote SSH, WSL, and GitHub Codespaces environments. The MCP connection is established from the remote host, so ensure the server URL is accessible from that environment.

08

MCP tools not available

Ensure you are in Agent mode in Copilot Chat. MCP tools only appear in Agent mode.