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Vinkius

OpenAPI Context Window Packer Connector for AI agents.

3 live capabilities

Shrink massive Swagger specs to fit your agent's context window.

Live agent request OpenAPI Context Window Packer / Connector

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AI Agent

Why people use OpenAPI Context Window Packer

Stop OpenAPI token bloat with OpenAPI Context Window Packer

With this Connector, you just point it at the big file and tell it what you want to keep. It handles the heavy lifting of stripping out the junk, leaving you with a clean, usable spec.

  • Claude
  • ChatGPT
  • Gemini
  • Cursor
  • Visual Studio Code
  • Windsurf

What Vinkius changes

You get a functional, lightweight API definition that won't blow your token budget.

Use it from Claude, ChatGPT, Cursor or another AI client you already have.

One account · 6,100+ Connectors

  1. Real-world use case 01

    Massive spec crashes agent

    You have a 5MB Swagger file and your agent dies instantly.

  2. Real-world use case 02

    Missing endpoint errors

    After pruning, you aren't sure if the /auth route is still there.

  3. Real-world use case 03

    Broken schema definitions

    You pruned a path but now the agent can't parse the response.

Complete set · 3capabilities

The complete OpenAPI Context Window Packer capability set.

These are the exact actions your AI can choose when you ask it to work with OpenAPI Context Window Packer.

Capability set01 / 01

01—03

3 capabilities in this set.

Part of 3 available through OpenAPI Context Window Packer.

  1. 01 Capability

    Compress openapi spec

    Shrinks your OpenAPI file by removing paths and components not in your target list. This reduces the total token count significantly.

  2. 02 Capability

    Analyze endpoint coverage

    Checks if the specific endpoints you care about survived the pruning process. It ensures no critical routes were lost.

  3. 03 Capability

    Trace schema dependencies

    Follows the links between schemas to ensure all required data structures remain intact. This prevents broken capability-calling.

Set up in minutes

One URL. Then ask OpenAPI Context Window Packer to work.

Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use OpenAPI Context Window Packer from the conversation.

Choose your client

Live preview
Advanced clients IDE · CLI

Claude · Web + desktop

Official guide ↗

Connector URL · ready to paste

Streamable HTTP
https://edge.vinkius.com/vk_preview_XMZvUjc3wLVnJZVkg6dLaL15NgLbiiNTRgEG82fO/mcp
  1. Step 01

    Open Connectors

    In Claude Web or Claude Desktop, open Settings and choose Connectors.

  2. Step 02

    Add the URL

    Choose Add custom connector, name it OpenAPI Context Window Packer, and paste the URL above.

  3. Step 03

    Turn it on in chat

    Select +, open Connectors, and enable OpenAPI Context Window Packer for the conversation.

Where the request belongs

Work OpenAPI Context Window Packer can move forward.

Built around the request

API engineers and AI developers who are tired of seeing their agents fail because an OpenAPI spec is too large to process.

01

API Engineer

Pruning massive Swagger files before feeding them into automated testing agents.

02

AI Agent Developer

Optimizing context windows for production-grade capability-calling agents.

03

Backend Developer

Cleaning up documentation for internal LLM-based developer capabilities.

Build the capability set

Each Connector adds new actions and data without changing how you work.

Browse Connectors

Bring your own AI

Change the model, client or framework. Keep OpenAPI Context Window Packer connected.

  • Claude
  • ChatGPT
  • Gemini
  • Cursor
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  • Windsurf
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Before you connect

Questions about OpenAPI Context Window Packer.

The practical details behind the request, access and result.

How can I prevent my OpenAPI spec from breaking Claude's context window?

Use the OpenAPI Context Window Packer to prune unnecessary paths and components. This keeps your agent focused on relevant endpoints without hitting token limits.

Will using OpenAPI Context Window Packer break my API definitions?

No, because it uses dependency tracing to ensure all required schemas remain intact during the compression process.

Can I use this Connector with Cursor or Windsurf?

Yes, you can connect this Connector to any compatible client like Cursor, Windsurf, or VS Code to optimize your API documentation on the fly.

How does OpenAPI Context Window Packer handle large Swagger files?

It identifies unused components and paths, stripping them away until the specification fits within your target token budget.

Can I verify if my critical endpoints are still present after pruning?

Yes, you can use the coverage analysis capability to check that your essential routes were not accidentally removed during compression.

How does the compression work?

The engine uses deterministic pruning. It removes all paths not in your targetEndpoints and then traces $ref pointers to remove any schemas that are no longer reachable, ensuring the resulting spec is structurally valid.

Will my API specification break after compression?

No. The capability ensures schema integrity by performing a graph traversal. Any component or schema required by your target endpoints is strictly preserved.

Can I control the size of the output?

Yes. Using compress_openapi_spec, you can set a maxTokenBudget. The engine will iteratively truncate description fields until the specification fits within your specified budget.

One connection away

Give your agent a direct line to OpenAPI Context Window Packer.

Connect OpenAPI Context Window Packer once. Keep it beside 6,100+ managed Connectors when the next task needs more.

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