Claude Tool Output Compressor Connector for AI agents.
3 live capabilities
Keep your context window open by shrinking massive data outputs
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Why people use Claude Tool Output Compressor
Stop losing context with Claude capability Output Compressor
This MCP changes that workflow. Instead of you playing editor, the MCP handles the heavy lifting. It intelligently shrinks those massive outputs, keeping the error messages and the vital structural bits while tossing the junk. You get the same insight without the token headache.
What Vinkius changes
You stop losing context to massive, useless data payloads.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 6,100+ Connectors
- Real-world use case 01
Debugging massive Bash logs
A developer runs a complex build script that spits out 5,000 lines of text.
- Real-world use case 02
Parsing heavy JSON payloads
An engineer fetches a massive user object from an API.
- Real-world use case 03
Managing token budgets
A researcher needs to know if a specific dataset will fit in the window.
Complete set · 3capabilities
The complete Claude Tool Output Compressor capability set.
These are the exact actions your AI can choose when you ask it to work with Claude Tool Output Compressor.
01—03
3 capabilities in this set.
Part of 3 available through Claude Tool Output Compressor.
- 01 Capability
Compress output
Reduces the size of large text or data outputs using smart rules. It keeps the important parts like errors while cutting the noise.
- 02 Capability
Estimate compression gain
Calculates how much space you will save before you compress. This helps you decide if a payload is too big.
- 03 Capability
Get compression statistics
Shows your total token savings and efficiency. Use this to track how much context you've reclaimed.
Set up in minutes
One URL. Then ask Claude Tool Output Compressor to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use Claude Tool Output Compressor 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_oZx8qcRAtEURk7wqhqxe1820tleNIhU5rv7vS6JJ/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 Claude Tool Output Compressor, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable Claude Tool Output Compressor for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_oZx8qcRAtEURk7wqhqxe1820tleNIhU5rv7vS6JJ/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 Claude Tool Output Compressor URL.
- Step 03
Save and start
Save the connection and enable Claude Tool Output Compressor in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"claude-tool-output-compressor": {
"url": "https://edge.vinkius.com/vk_preview_oZx8qcRAtEURk7wqhqxe1820tleNIhU5rv7vS6JJ/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 Claude Tool Output Compressor
Open Agent mode in chat and ask: "Using Claude Tool Output Compressor, help me...". 3 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"claude-tool-output-compressor": {
"url": "https://edge.vinkius.com/vk_preview_oZx8qcRAtEURk7wqhqxe1820tleNIhU5rv7vS6JJ/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 Claude Tool Output Compressor
Ask Copilot: "Using Claude Tool Output Compressor, help me...". 3 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"claude-tool-output-compressor": {
"url": "https://edge.vinkius.com/vk_preview_oZx8qcRAtEURk7wqhqxe1820tleNIhU5rv7vS6JJ/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 Claude Tool Output Compressor
Open Cascade and ask: "Using Claude Tool Output Compressor, help me...". 3 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"claude-tool-output-compressor": {
"url": "https://edge.vinkius.com/vk_preview_oZx8qcRAtEURk7wqhqxe1820tleNIhU5rv7vS6JJ/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 Claude Tool Output Compressor
Ask Cline: "Using Claude Tool Output Compressor, help me...". 3 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add claude-tool-output-compressor --transport http "https://edge.vinkius.com/vk_preview_oZx8qcRAtEURk7wqhqxe1820tleNIhU5rv7vS6JJ/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 Claude Tool Output Compressor
Ask Claude: "Using Claude Tool Output Compressor, show me...". 3 tools are ready
Where the request belongs
Work Claude Tool Output Compressor can move forward.
This is for developers and data engineers who are tired of their AI agents losing their minds because a single command output was too large for the context window.
DevOps Engineer
Cleaning up massive system logs and terminal outputs to debug infrastructure issues with an agent.
Backend Developer
Handling large JSON payloads from microservices without blowing the token budget.
Data Scientist
Processing large datasets or API responses where only specific fields hold the necessary signal.
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Store, share, and collaborate on files securely with enterprise-grade cloud content management and governance controls.
Bring your own AI
Change the model, client or framework. Keep Claude Tool Output Compressor connected.
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Claude -
ChatGPT -
Gemini -
Cursor -
VS Code -
Windsurf -
ZCode -
Cline -
Zed -
Continue -
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Before you connect
Questions about Claude Tool Output Compressor.
The practical details behind the request, access and result.
How does the Claude Capability Output Compressor prevent context errors?
It shrinks large data payloads by removing redundant or empty information before it reaches your AI client, ensuring the most important data fits within the limit.
Will I lose important error messages when using this MCP?
No. The compression logic is designed to specifically look for and preserve critical signals like error lines and log headers while discarding the noise.
Can I use this with Cursor or VS Code?
Yes, this MCP works with any compatible client, including Cursor, VS Code, Windsurf, and Claude Desktop.
Does this MCP work for JSON data too?
Yes, it can prune empty fields and redundant data from large API responses to make them much easier for your agent to read.
How do I know if a file is too big to send?
You can use the estimation capability to check how much space you'll save, helping you decide if you need to compress the data before sending it to your agent.
How does the compression work?
The server applies deterministic rules based on the source capability. For instance, Bash outputs retain the start, end, and error lines, while API responses are pruned of null values and large arrays.
What capabilities can I compress?
You can use compress_output for Bash, file reads, logs, API calls, and test results.
Will I lose important error messages?
No. The compression logic is designed to prioritize critical signals like ERROR and WARN lines to ensure you never lose vital debugging information.
One connection away
Give your agent a direct line to Claude Tool Output Compressor.
Connect Claude Tool Output Compressor once. Keep it beside 6,100+ managed Connectors when the next task needs more.
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