reading-list-organizer Connector for AI agents.
1 live capability
Get a data-driven roadmap to clear your research papers and book backlog.
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Why people use reading-list-organizer
Deterministic Reading Project Manager for Research Paper Organization
This Connector changes that by turning your pile into a production line. You give your agent the list, and it handles the math and the logic. You get a clear sequence that tells you exactly what to work on next so you can stop worrying about the "to-do" list and start actually reading.
What Vinkius changes
You get a mathematically optimized reading schedule that prioritizes finishing what you've already started.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 6,100+ Connectors
- Real-world use case 01
The Overwhelmed Researcher
A PhD student has 50 papers to read.
- Real-world use case 02
The Tech Lead
A manager has a backlog of 10 tech books.
- Real-world use case 03
The Content Curator
Someone with a massive "save for later" list on a browser uses the capability to turn that mess into a structured 12-week reading plan.
Complete set · 1capability
The complete reading-list-organizer capability set.
These are the exact actions your AI can choose when you ask it to work with reading-list-organizer.
01
1 capability in this set.
Part of 1 available through reading-list-organizer.
- 01 Capability
Analyze reading list
Processes your list of books or papers to create a sorted reading plan and provide a progress report. It calculates your remaining time based on your words per minute and organizes your queue using the Snowball Method.
Set up in minutes
One URL. Then ask reading-list-organizer to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use reading-list-organizer 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_okeYRMx9JrFHnOoJsvfiFAEcYIqU5jdwPtMAu2dq/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 reading-list-organizer, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable reading-list-organizer for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_okeYRMx9JrFHnOoJsvfiFAEcYIqU5jdwPtMAu2dq/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 reading-list-organizer URL.
- Step 03
Save and start
Save the connection and enable reading-list-organizer in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"deterministic-reading-project-manager": {
"url": "https://edge.vinkius.com/vk_preview_okeYRMx9JrFHnOoJsvfiFAEcYIqU5jdwPtMAu2dq/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 reading-list-organizer
Open Agent mode in chat and ask: "Using reading-list-organizer, help me...". 1 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"deterministic-reading-project-manager": {
"url": "https://edge.vinkius.com/vk_preview_okeYRMx9JrFHnOoJsvfiFAEcYIqU5jdwPtMAu2dq/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 reading-list-organizer
Ask Copilot: "Using reading-list-organizer, help me...". 1 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"deterministic-reading-project-manager": {
"url": "https://edge.vinkius.com/vk_preview_okeYRMx9JrFHnOoJsvfiFAEcYIqU5jdwPtMAu2dq/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 reading-list-organizer
Open Cascade and ask: "Using reading-list-organizer, help me...". 1 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"deterministic-reading-project-manager": {
"url": "https://edge.vinkius.com/vk_preview_okeYRMx9JrFHnOoJsvfiFAEcYIqU5jdwPtMAu2dq/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 reading-list-organizer
Ask Cline: "Using reading-list-organizer, help me...". 1 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add deterministic-reading-project-manager --transport http "https://edge.vinkius.com/vk_preview_okeYRMx9JrFHnOoJsvfiFAEcYIqU5jdwPtMAu2dq/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 reading-list-organizer
Ask Claude: "Using reading-list-organizer, show me...". 1 tools are ready
Where the request belongs
Work reading-list-organizer can move forward.
This is for researchers, students, and tech professionals who are overwhelmed by a massive backlog of research papers, technical books, or documentation and need a logical way to clear it.
PhD Student
Needs to stay on top of a massive literature review while keeping track of specific completion percentages.
Self-Taught Coder
Wants to systematically finish a backlog of technical docs without getting distracted by new topics.
Technical Writer
Needs to manage multiple manuals and keep a clear eye on their remaining workload.
Researcher
Needs to move through dozens of papers using a logical sequence to maintain momentum.
Build the capability set
Add more capabilities.
Each Connector adds new actions and data without changing how you work.
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Bring your own AI
Change the model, client or framework. Keep reading-list-organizer connected.
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Claude -
ChatGPT -
Gemini -
Cursor -
VS Code -
Windsurf -
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Cline -
Zed -
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Vercel AI SDK
Before you connect
Questions about reading-list-organizer.
The practical details behind the request, access and result.
How does the Deterministic Reading Project Manager help with my book backlog?
It turns your messy list into a sorted plan, telling you what to read next based on what you're closest to finishing.
Can the Deterministic Reading Project Manager calculate how long my reading will take?
Yes, it calculates exact hours based on your specific reading speed and the remaining pages in your list.
What is the Snowball Method in the Deterministic Reading Project Manager?
It's an algorithmic way to sort your queue so you finish nearly-completed items first to build psychological momentum.
Is the Deterministic Reading Project Manager good for research papers?
It's great for papers because it treats them as part of your reading queue and includes them in your total progress analytics.
Can I use the Deterministic Reading Project Manager to see my overall completion percentage?
Yes, it generates a dashboard showing your total progress, pages read, and current pipeline status.
Does the Deterministic Reading Project Manager require any extra software?
No, it's a standalone MCP that works directly with your AI client to process your reading data.
How does it estimate the time remaining?
The algorithmic engine multiplies your remaining unread pages by an industry-standard 300 words-per-page. It then divides that massive word count by your specific reading speed (defaulting to 250 Words Per Minute) to output an exact hour count.
What is the Snowball Method sequence?
It is a psychological productivity framework. The algorithm sorts your 'reading' books by how close you are to finishing them. For completely unread books, it sorts them from shortest to longest. This guarantees you secure 'quick wins' fast to build reading momentum.
Can it process dozens of books at once?
Yes. Because it uses pure JSON and mathematical mapping without LLM token limits, it can instantly evaluate libraries containing thousands of entries without any calculation hallucination.
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Give your agent a direct line to reading-list-organizer.
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