Annotation Extractor and Tracker Connector for AI agents.
2 live capabilities
Track technical debt and code annotations across your repository.
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Why people use Annotation Extractor and Tracker
Annotation Extractor and Tracker solves messy technical debt tracking
With this Connector, your agent does the digging for you. You just ask what needs fixing, and it gives you a clean list of every marker in the file.
What Vinkius changes
You stop losing track of critical code fixes.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 6,100+ Connectors
- Real-world use case 01
Finding pending tasks during refactoring
A developer is refactoring a module and asks the agent to find all FIXME notes in /src/auth.
- Real-world use case 02
Verifying bug fix completion
A tech lead wants to see if recent commits fixed old issues.
- Real-world use case 03
Identifying code rot in directories
An engineer is worried about code rot in a specific directory.
Complete set · 2capabilities
The complete Annotation Extractor and Tracker capability set.
These are the exact actions your AI can choose when you ask it to work with Annotation Extractor and Tracker.
01—02
2 capabilities in this set.
Part of 2 available through Annotation Extractor and Tracker.
- 01 Capability
Scan file
Looks through a single file to find any TODO, FIXME, HACK, or XXX markers. It is useful for targeted audits.
- 02 Capability
Process annotations
Compares multiple files at once to see which annotations were resolved or added. This helps you track progress over time.
Set up in minutes
One URL. Then ask Annotation Extractor and Tracker to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use Annotation Extractor and Tracker 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_nHleEt0kiJbddwhLdQrs3DvrA6lGbLjDFQwwasod/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 Annotation Extractor and Tracker, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable Annotation Extractor and Tracker for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_nHleEt0kiJbddwhLdQrs3DvrA6lGbLjDFQwwasod/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 Annotation Extractor and Tracker URL.
- Step 03
Save and start
Save the connection and enable Annotation Extractor and Tracker in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"annotation-extractor-and-tracker": {
"url": "https://edge.vinkius.com/vk_preview_nHleEt0kiJbddwhLdQrs3DvrA6lGbLjDFQwwasod/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 Annotation Extractor and Tracker
Open Agent mode in chat and ask: "Using Annotation Extractor and Tracker, help me...". 2 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"annotation-extractor-and-tracker": {
"url": "https://edge.vinkius.com/vk_preview_nHleEt0kiJbddwhLdQrs3DvrA6lGbLjDFQwwasod/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 Annotation Extractor and Tracker
Ask Copilot: "Using Annotation Extractor and Tracker, help me...". 2 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"annotation-extractor-and-tracker": {
"url": "https://edge.vinkius.com/vk_preview_nHleEt0kiJbddwhLdQrs3DvrA6lGbLjDFQwwasod/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 Annotation Extractor and Tracker
Open Cascade and ask: "Using Annotation Extractor and Tracker, help me...". 2 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"annotation-extractor-and-tracker": {
"url": "https://edge.vinkius.com/vk_preview_nHleEt0kiJbddwhLdQrs3DvrA6lGbLjDFQwwasod/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 Annotation Extractor and Tracker
Ask Cline: "Using Annotation Extractor and Tracker, help me...". 2 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add annotation-extractor-and-tracker --transport http "https://edge.vinkius.com/vk_preview_nHleEt0kiJbddwhLdQrs3DvrA6lGbLjDFQwwasod/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 Annotation Extractor and Tracker
Ask Claude: "Using Annotation Extractor and Tracker, show me...". 2 tools are ready
Build the capability set
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Bring your own AI
Change the model, client or framework. Keep Annotation Extractor and Tracker 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 -
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Amazon Q -
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BoltAI -
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LM Studio -
AnythingLLM -
Open WebUI -
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Cherry Studio -
LibreChat -
TypingMind -
Chorus -
5ire -
n8n -
LangChain -
LlamaIndex -
CrewAI -
Vercel AI SDK
Before you connect
Questions about Annotation Extractor and Tracker.
The practical details behind the request, access and result.
How can I find all TODOs using Annotation Extractor and Tracker?
You just ask your agent to scan a specific file or directory for you.
Can Annotation Extractor and Tracker help me track technical debt?
Yes, it tracks markers like FIXME and HACK so you can see how they change over time.
Does Annotation Extractor and Tracker work with my existing codebase?
It works with any source files where you use standard annotations like TODO or XXX.
Can I see if a specific bug fix was completed using Annotation Extractor and Tracker?
Yes, by comparing recent scans to previous ones, the agent can identify resolved markers.
Is there a way to monitor code quality with Annotation Extractor and Tracker?
You can check annotation density to find areas of your code that are accumulating too many HACK or FIXME tags.
What types of annotations can this server detect?
It detects standard markers including FIXME, HACK, and XXX annotations.
How can I identify if a task has been completed?
By using the process_annotations capability with a reference from a previous scan, you can see which annotations are now resolved.
Can I analyze a single file or an entire directory?
You can use scan_file for individual files or process_annotations to handle batch data for multiple files.
One connection away
Give your agent a direct line to Annotation Extractor and Tracker.
Connect Annotation Extractor and Tracker once. Keep it beside 6,100+ managed Connectors when the next task needs more.
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