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Connect Configuration Reference Resolver to your AI

Set it up once and it works in ChatGPT, Claude, Cursor, and any other client you love. It all runs safely in the background, so you can relax and focus on what really matters. Turn raw configuration dictionaries into fully resolved data.

Ask AI about this Connector

Developed, maintained, and hosted by Vinkius.

MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED

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Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.

ChatGPTClaudeCursorPerplexityGeminiMicrosoft CopilotRaycastMeta AI

Your AI does the work. We keep it safe and sound.

No other AI tool gives you this. Your workflow runs in the client you already love, your account stays protected, and you decide what the agent can and cannot do. It is the whole reason to make the switch.

Each Connector lives inside our infrastructure, the same place where your workflow runs. The three things below are already part of it, working quietly in the background so you never have to think about them. Nothing to add, nothing to set up, nothing to worry about.

A futuristic MCP client docking bay
V8 Isolate01

Each Connector runs inside its own sealed environment.

Each Connector runs inside its own sealed V8 runtime — no access to your files, your system, or other servers. A Connector never sees past its own request.

Kill Switch02

One switch stops every agent. Instantly.

One action deactivates every Connector, revokes every token, and ends every session at once. AI Governance keeps the record.

FinOps per User03

Spending limits that pause instead of surprise.

Every user keeps their own connections and credentials, isolated from everyone else. Anything that would cross your spending limit is held for your approval, not billed.

Three controls, built into the layer your AI connects through.

Curated set · 3 capabilities

We ship only the actions that matter.

Capability set01 / 01

01-03

3 capabilities in this set.

Part of 3 available through Configuration Reference Resolver.

  1. 01

    Get resolution path

    This capability provides a detailed audit trail for a specific configuration key. It shows exactly how a final value was constructed from its original placeholders.

  2. 02

    Resolve configuration

    This is the primary capability for transforming raw dictionaries into resolved objects. It replaces all placeholders like ${TARGET.key} using your provided context map.

  3. 03

    Validate reference integrity

    This capability checks if a configuration is healthy. It identifies any unresolved references or circular loops that would crash your agent.

Real work

What teams actually run

01

Multi-Agent Orchestration

Resolve shared variables across different agent profiles using a single context map.

02

Environment Switching

Swap out API endpoints or credentials by resolving placeholders based on the current environment.

03

Debugging Agent Logic

Use the resolution path capability to see why an agent received a specific parameter.

04

Config Validation

Run integrity checks on large configuration files to catch typos or missing keys before deployment.

One connector, every AI

Configuration Reference Resolver works with the most popular AI clients.

These are the most popular clients, each with a step-by-step guide: one link, set up once, with governance and visibility built in. And because everything runs on the MCP standard, the same connection also works in any other compatible client — nothing to rebuild.

ClaudeClaudeChatGPTChatGPTGeminiGeminiPerplexityPerplexityGrokGrokMicrosoft CopilotMicrosoft CopilotCursorCursorVS CodeVS CodeWindsurfWindsurfJetBrainsJetBrainsClineClineLangChainLangChainVercel AI SDKVercel AI SDKLovableLovableZ.aiZ.aiRaycastRaycastQwen CodeQwen CodeKimi CodeKimi CodeLe ChatLe Chat

Building your own app? The connector is yours to use.

You don't need a client to put Configuration Reference Resolver to work: the same hosted connection plugs into your own applications and agent code, with the same governance on every request. Build with it, chat with it — one connection for both.

Observed, not estimated

852ms average. Fast in production.

Configuration Reference Resolver is checked daily against the live service.

Daily averagePeak 1112ms
Oct 3Today
Fastest day
748ms
Slowest day
1112ms
14-day trend
Stable-4%

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 3 capabilities arrive ready to run.

Preview access · not provider authentication

The vk_preview_* token belongs to Vinkius preview infrastructure. It lets Claude discover and display the capabilities of Configuration Reference Resolver, so you can see the experience inside your AI.

It does not authenticate your account with Configuration Reference Resolver. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.

Configuration Reference Resolver Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_OaWlpKrvVbko6SoBh33hpCN7gj9ArOwOYS2LqrkV/mcp

Claude Desktop

Follow the steps below to connect in seconds.

  1. 1In Claude Desktop, open Settings → Connectors.
  2. 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
  3. 3Click Add and start a new chat — Configuration Reference Resolver capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "configuration-reference-resolver-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_OaWlpKrvVbko6SoBh33hpCN7gj9ArOwOYS2LqrkV/mcp"
    }
  }
}
  • Claude
  • ChatGPT
  • Cursor
  • VS Code
  • Windsurf
  • Claude Code
  • JetBrains
  • Cline

Step-by-step instructions for each client are in the guide. How to connect

Guided setup for Claude? Set up Configuration Reference Resolver in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work Configuration Reference Resolver owners hand off.

This MCP is built for engineers building multi-agent systems that rely on dynamic settings.

  • 01

    AI Engineer

    Hands off complex JSON configuration objects to the MCP to prepare them for agent execution.

  • 02

    DevOps Engineer

    Uses the validation capabilities to ensure environment-specific configs are error-free.

  • 03

    Backend Developer

    Integrates deterministic configuration resolution into agentic workflows.

FAQ

Questions Configuration Reference Resolver owners ask.

  • 01

    What does this MCP actually do?

    It takes configuration files with placeholders and turns them into real, usable data by looking up the values in a context map.

  • 02

    How does it handle circular references?

    It uses graph-based detection to find when two or more references point to each other, which prevents the system from getting stuck in a loop.

  • 03

    Can I see how a specific value was resolved?

    Yes, the get_resolution_path capability provides a step-by-step audit trail of how a placeholder was replaced.

  • 04

    Which clients can I use this with?

    You can use this with any MCP-compatible client like Claude, Cursor, or Windsurf.

  • 05

    Do I need to host this myself?

    No, Vinkius hosts and manages the MCP for you. You just connect and start using the capabilities.

  • 06

    What does this MCP server do?

    It resolves placeholder references within configuration files using a deterministic lookup process, ensuring all dependencies are correctly mapped and validated.

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