OpenAPI Context Window Packer Connector for AI agents.
3 live capabilities
Shrink massive Swagger specs to fit your agent's context window.
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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.
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
- Real-world use case 01
Massive spec crashes agent
You have a 5MB Swagger file and your agent dies instantly.
- Real-world use case 02
Missing endpoint errors
After pruning, you aren't sure if the /auth route is still there.
- 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.
01—03
3 capabilities in this set.
Part of 3 available through OpenAPI Context Window Packer.
- 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.
- 02 Capability
Analyze endpoint coverage
Checks if the specific endpoints you care about survived the pruning process. It ensures no critical routes were lost.
- 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 previewAdvanced clients IDE · CLI
Claude · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_XMZvUjc3wLVnJZVkg6dLaL15NgLbiiNTRgEG82fO/mcp - Step 01
Open Connectors
In Claude Web or Claude Desktop, open Settings and choose Connectors.
- Step 02
Add the URL
Choose Add custom connector, name it OpenAPI Context Window Packer, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable OpenAPI Context Window Packer for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_XMZvUjc3wLVnJZVkg6dLaL15NgLbiiNTRgEG82fO/mcp - Step 01
Open MCP settings
On desktop, open Settings and MCP servers. On web, open your workspace app or connector settings.
- Step 02
Add the URL
Choose Add server with Streamable HTTP, or create a custom MCP app, then paste the OpenAPI Context Window Packer URL.
- Step 03
Save and start
Save the connection and enable OpenAPI Context Window Packer in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"openapi-context-window-packer": {
"url": "https://edge.vinkius.com/vk_preview_XMZvUjc3wLVnJZVkg6dLaL15NgLbiiNTRgEG82fO/mcp"
}
}
} - Step 01
Open MCP Settings
Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"
- Step 02
Add the server config
Paste the JSON configuration above into the mcp.json file that opens
- Step 03
Save the file
Cursor will automatically detect the new Connector
- Step 04
Start using OpenAPI Context Window Packer
Open Agent mode in chat and ask: "Using OpenAPI Context Window Packer, help me...". 3 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"openapi-context-window-packer": {
"url": "https://edge.vinkius.com/vk_preview_XMZvUjc3wLVnJZVkg6dLaL15NgLbiiNTRgEG82fO/mcp"
}
}
} - Step 01
Create MCP config
Create a .vscode/mcp.json file in your project root
- Step 02
Add the server config
Paste the JSON configuration above
- Step 03
Enable Agent mode
Open GitHub Copilot Chat and switch to Agent mode using the dropdown
- Step 04
Start using OpenAPI Context Window Packer
Ask Copilot: "Using OpenAPI Context Window Packer, help me...". 3 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"openapi-context-window-packer": {
"url": "https://edge.vinkius.com/vk_preview_XMZvUjc3wLVnJZVkg6dLaL15NgLbiiNTRgEG82fO/mcp"
}
}
} - Step 01
Open MCP Settings
Go to Settings → MCP Configuration or press Cmd+Shift+P and search "MCP"
- Step 02
Add the server
Paste the JSON configuration above into mcp_config.json
- Step 03
Save and reload
Windsurf will detect the new server automatically
- Step 04
Start using OpenAPI Context Window Packer
Open Cascade and ask: "Using OpenAPI Context Window Packer, help me...". 3 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"openapi-context-window-packer": {
"url": "https://edge.vinkius.com/vk_preview_XMZvUjc3wLVnJZVkg6dLaL15NgLbiiNTRgEG82fO/mcp"
}
}
} - Step 01
Open Cline MCP Settings
Click the Connectors icon in the Cline sidebar panel
- Step 02
Add remote server
Click "Add Connector" and paste the configuration above
- Step 03
Enable the server
Toggle the server switch to ON
- Step 04
Start using OpenAPI Context Window Packer
Ask Cline: "Using OpenAPI Context Window Packer, help me...". 3 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add openapi-context-window-packer --transport http "https://edge.vinkius.com/vk_preview_XMZvUjc3wLVnJZVkg6dLaL15NgLbiiNTRgEG82fO/mcp" - Step 01
Install Claude Code
Run npm install -g @anthropic-ai/claude-code if not already installed
- Step 02
Add the Connector
Run the command above in your terminal
- Step 03
Verify the connection
Run claude mcp to list connected servers, or type /mcp inside a session
- Step 04
Start using OpenAPI Context Window Packer
Ask Claude: "Using OpenAPI Context Window Packer, show me...". 3 tools are ready
Where the request belongs
Work OpenAPI Context Window Packer can move forward.
API engineers and AI developers who are tired of seeing their agents fail because an OpenAPI spec is too large to process.
API Engineer
Pruning massive Swagger files before feeding them into automated testing agents.
AI Agent Developer
Optimizing context windows for production-grade capability-calling agents.
Backend Developer
Cleaning up documentation for internal LLM-based developer capabilities.
Build the capability set
Add more capabilities.
Each Connector adds new actions and data without changing how you work.
Browse ConnectorsSwaggerHub
Connect your AI to SwaggerHub. Read OpenAPI specifications, explore domains, and manage your API design lifecycle natively from the terminal.
OpenAPI Validator Engine
Validate any OpenAPI or Swagger spec (2.0, 3.0, 3.1, 3.2) local before generating code from it. Returns version, validity, and every schema error with exact paths. Your spec quality gate.
OpenAPI Spec Validator
Validate OpenAPI 3.x documents for structural compliance, orphaned components, and path parameter consistency.
DocBreach
Real-time documentation discovery for AI agents. Discover, read, and extract any API documentation without browser rendering or API keys.
API Design Prover
An AI agent designed an API with GET /users/create. That single endpoint broke HTTP caching for 200 consumer services. No versioning. No error contract. Raw arrays on one route, wrapped objects on another. This capability forces semantic HTTP verbs, explicit versioning strategy, unified response envelopes, bounded pagination, and RFC 7807 error structures. before any code is written.
Apiary
Manage your API design-first workflows via Apiary. read blueprints, publish docs, and run tests directly from your AI agent.
Bring your own AI
Change the model, client or framework. Keep OpenAPI Context Window Packer connected.
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Claude -
ChatGPT -
Gemini -
Cursor -
VS Code -
Windsurf -
ZCode -
Cline -
Zed -
Continue -
Kiro -
Roo Code -
Zencoder -
Goose -
Void -
Augment Code -
Amp -
Qodo -
Tabnine -
Pieces -
Sourcegraph Cody -
JetBrains -
Warp -
Amazon Q -
Antigravity -
BoltAI -
Raycast -
Jan -
LM Studio -
AnythingLLM -
Open WebUI -
Msty -
Cherry Studio -
LibreChat -
TypingMind -
Chorus -
5ire -
n8n -
LangChain -
LlamaIndex -
CrewAI -
Vercel AI SDK
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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