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Connect Dependency Resolution Engine to ChatGPT and Claude

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. Solve complex dependency trees with deterministic precision.

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 Dependency Resolution Engine.

  1. 01

    Check graph integrity

    This capability analyzes a resolved dependency tree to find structural risks. It identifies issues like circularities that could crash your agent's environment.

  2. 02

    Resolve dependencies

    This capability performs the primary deterministic resolution of a dependency tree. It calculates the exact order and structure based on your root requirements.

  3. 03

    Validate constraint

    This capability checks if a specific package version satisfies a SemVer constraint. It ensures version compatibility before you attempt to load a capability.

Real work

What teams actually run

01

Plugin Loading

Your agent can safely load a suite of third-party capabilities without version conflicts.

02

Automated Environment Setup

The engine calculates the correct installation order for complex software stacks.

03

Dependency Auditing

You can verify that a proposed set of dependencies won't create a broken graph.

04

Version Constraint Testing

The AI can quickly check if a new package version fits within existing constraints.

One connector, every AI

Dependency Resolution Engine 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 Dependency Resolution Engine 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

865ms average. Fast in production.

Dependency Resolution Engine is checked daily against the live service.

Daily averagePeak 1221ms
Oct 3Today
Fastest day
711ms
Slowest day
1221ms
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 Dependency Resolution Engine, so you can see the experience inside your AI.

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

Dependency Resolution Engine Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_DpbZDMSYSeEBckxcLRajpBNhA7ylOQeWFlY8FNs6/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 — Dependency Resolution Engine capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "dependency-resolution-engine-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_DpbZDMSYSeEBckxcLRajpBNhA7ylOQeWFlY8FNs6/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 Dependency Resolution Engine in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work Dependency Resolution Engine owners hand off.

This MCP is built for developers building complex agentic workflows that rely on modular toolsets.

  • 01

    Platform Engineers

    They hand off complex plugin architectures to the AI to ensure stable loading.

  • 02

    DevOps Engineers

    They use the engine to validate environment configurations and dependency constraints.

  • 03

    AI Agent Developers

    They use it to prevent runtime failures caused by incompatible capability dependencies.

FAQ

Questions Dependency Resolution Engine owners ask.

  • 01

    What algorithm does this MCP use for resolution?

    It uses depth-first search with backtracking to ensure version compatibility and handle complex trees.

  • 02

    How does it handle circular dependencies?

    The engine detects circularities during the resolution process and can verify the final tree is a Directed Acyclic Graph.

  • 03

    Can I use this with any AI client?

    Yes, it works with any MCP-compatible client like Claude, Cursor, or Windsurf.

  • 04

    Does it support Semantic Versioning?

    Yes, it includes a specific capability to validate that versions satisfy SemVer constraints.

  • 05

    What is a diamond dependency?

    It is a situation where two different packages depend on the same third package, and this engine resolves those requirements deterministically.

  • 06

    How does the engine handle version conflicts?

    The engine uses a backtracking algorithm. If a version constraint cannot be satisfied, it retreats to the previous decision point to attempt a different version that satisfies all active constraints.

  • 07

    Can I detect circular dependencies?

    Yes, you can use check_graph_integrity to analyze a resolved tree and identify if any circular dependencies exist within the structure.

Explore

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