⚠️ DEPRECATED - Kollektiv MCP

> 🚨 IMPORTANT: This experimental MCP server is now DEPRECATED and will be shut down soon.

>

> For updates, visit kollektiv.sh

>

> Please do not use this server for new projects.

~~🧠 Your personal LLM knowledgebase~~ (DEPRECATED)

[Original Description - No longer maintained] Kollektiv MCP enables you to build personal LLM knowledge base in seconds and use it from your

favorite editor / client. No more infrastructure setup, chunking, syncing - just upload your

data and start chatting. Supports all major MCP clients out of the box - Cursor, Windsurf,

Claude Desktop, etc.

⚠️ Deprecation Notice

This experimental MCP server is DEPRECATED and will be shut down soon. The service endpoints may stop working at any time without notice.

Do not use this for new projects or production use.

💿 Connection (DEPRECATED - MAY NOT WORK)

The simplest way to connect to Kollektiv MCP is to copy & paste the following

configuration into your editor's `mcp.json` file. All clients (Cursor, Windsurf, Claude Desktop,

VSCode, PyCharm) support this `json` format

{
  "mcpServers": {
    "kollektiv": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-remote",
        "https://mcp.thekollektiv.ai/mcp"
      ]
    }
  }
}

• name:
• command:
• args:

to remote servers

Kollektiv)

Check out a short demo below or read client-specific instructions on how to connect.

Cursor

Open Cursor and go to `Cursor Settings > MCP > Add new global MCP Server`. Paste the configuration

above and save (ctrl/cmd+s).

If configuration is successful and you haven't authenticated before, a browser window should

open guiding you to the login page.

> 💡After saving the `json` it might take a while for Cursor to connect to the MCP. You might

> need to restart Cursor or give it a bit of time. If you see 'Client is closed' or other errors,

> taking these troubleshooting steps might help.

If the connection is successful, you should see Kollektiv MCP go green in the settings page:

Windsurf

Open Windsurf and go to `Settings -> Windsurf Settings > MCP Servers > View raw config`.

Paste the configuration above and save (ctrl/cmd+s).

If configuration is successful and you haven't authenticated before, a browser window should

open guiding you to the login page.

> 💡Windsurf, in contrast to other clients, in my experience requires a restart of the app to

> properly connect. If the server doesn't go 'green' after a while, try going over the

> troubleshooting steps below.

If connection is successful you should see Kollektiv MCP go green in the settings page:

Claude for Desktop

Open Claude Desktop and go to `Settings -> Developer > Edit config`. Open `json` file in any

text / code editor, paste the configuration above and save (ctrl/cmd+s).

If configuration is successful and you haven't authenticated before, a browser window should

open guiding you to the login page.

> 💡Claude for Desktop requires a restart of the app to properly connect. If the server doesn't go

> 'green' after a while, try going over the

> troubleshooting steps below.

If connection is successful you should see Kollektiv MCP go green in the settings page:

VS Code

Open VS Code and go to `Settings -> MCP: Add server > Command (stdio)`:

• command:
• name:

Your configuration `settings.json` should look similar to this:

{
  "chat.mcp.discovery.enabled": true,
  "chat.mcp.enabled": true,
  "mcp": {
    "servers": {
      "kollektiv": {
        "type": "stdio",
        "command": "npx",
        "args": [
          "-y",
          "mcp-remote",
          "https://mcp.thekollektiv.ai/mcp"
        ]
      }
    }
  }
}

Next steps:

• Click Start to connect to the MCP Server
• Remember to add `"chat.mcp.enabled": true,` in your `settings.json`
• Switch to Agent mode

> 💡VS Code requires you to manually start your server, add `chat.mcp.enabled` and switch to

> Agent mode to use MCP. If you do not see MCP tools in Agent mode, try going over the

> troubleshooting steps below.

If connection is successful you should see the tools exposed by Kollektiv MCP.

Cline

Open Cline, click on `MCP Servers > Edit Configuration` and add the following configuration to your

`cline_mcp_settings.json`:

{
  "mcpServers": {
    "kollektiv": {
      "timeout": 60,
      "command": "npx",
      "args": [
        "-y",
        "mcp-remote",
        "https://mcp.thekollektiv.ai/mcp"
      ],
      "transportType": "stdio",
      "disabled": false
    }
  }
}

> Note: direct connections to remote servers that support Authorization are not supported yet by

> Cline.

If connection is successful, you will be taken through to the authentication flow. After logging

in, you should see Kollektiv MCP enabled in Cline.

Others (PyCharm, Claude Code)

Most MCP clients follow the same `.json` format and should work with similar configuration steps

as previously mentioned clients:

1. Copy & paste configuration into your client's `json` configuration

2. Restart the app

3. Authenticate if not already

4. Kollektiv MCP should go green & be available in chat / agent mode

Success of your connection depends on many factors including but not limited to:

• how strong developers of a particular client wanted to support MCP connections
• whether the client supports the

latest MCP spec with Oauth support

If you are experiencing issues, going through these

simple troubleshooting steps might help.

Supported clients

I've validated connection works to the following MCP clients:

• Cursor ✅
• Windsurf ✅
• Claude Desktop ✅
• VS Code ✅
• Cline ✅

Other MCP clients _should_ be supported in theory, but in practice things might be a little

different. If you have a client you really want to connect to - let me know!

🎮 Usage

Available Tools

• `/query_documents` — Submit a question to the documents you’ve uploaded to Kollektiv and

receive an answer based on the sources from your documents.

• `/list_documents` — Return a list of your synced documents together with basic metadata.
• Pro tip: Include the phrase “use Kollektiv MCP” so the client knows to call these tools.

Usage Tips

• Always add "use Kollektiv MCP" — This tells the client which MCP server to use.
• Wait for document to be Available — After upload, it takes 1–2 minutes before the document can

be queried.

• Rephrase queries when needed — If the client generates a poor query, edit or rewrite it

yourself.

❓ Troubleshooting & Support

This MCP server uses Cloudflare Agents SDK as well as other libraries to provide the most modern

way for users to connect to and use MCP servers. MCP clients on the other hand have yet to

implement support for the 2 critical pieces:

• remote MCP servers
• MCP server authorization

In case you experience connection issues, please go through the following troubleshooting steps

which should help you connect to the MCP server.

Support

If you require additional support please open a GitHub issue or reach out at support@thekollektiv.ai

Connection Troubleshooting

If you are getting Invalid Authorization Request error as below or can not connect for

another reason, try going through the steps below which should fix the issue.

1. Ensure you're connecting to the correct endpoint:

2. Clean mcp-remote cache:

client that doesn't support remote connections

# MacOS
rm -rf ~/.mcp-auth  

# Windows
Remove-Item -Recurse -Force "$env:USERPROFILE\.mcp-auth"

3. Clear your browser data & cookies:

into Kollektiv.

> ⚠️ Note: this will sign you out from all active sessions, including Kollektiv. Only do this if

> you're stuck in a broken login flow.

4. Restart your MCP client and try to reconnect to the MCP server:

previous runs which might interfere with authentication.

Using MCP Inspector

For debugging purposes, you can use the MCP Inspector to connect to Kollektiv MCP server.

npx @modelcontextprotocol/inspector

Select either SSE or Streamable HTTP transport

• SSE: connect to the server at `https://mcp.thekollektiv.ai/sse`
• Streamable HTTP: connect to the server at `https://mcp.thekollektiv.ai/mcp`

🛠️ Implementation Details (for the 🤓)

> If you're just here for Kollektiv - skip this. This section is for devs and builders curious

> about how it works.

Kollektiv MCP is part of a modular system enabling users to set up RAG over their data

in seconds — without the need to manage infrastructure, pipelines, or model configs.

It consists of three independently deployed services:

• MCP Server (Cloudflare Worker)

`https://mcp.thekollektiv.ai`

Acts as a secure gateway for clients to interact with indexed data via the Model Context

Protocol. Supports OAuth.

• Frontend (React + Vite Worker)

`https://thekollektiv.ai`

A clean, minimal user interface for uploading and managing their content.

• Backend (FastAPI)

`https://api.thekollektiv.ai`

Handles source ingestion, validation, and orchestration of a RAG pipeline.

🔐 Security

Kollektiv MCP implements several security measures:

• Sign-in happens via the standard OAuth 2.1 “Authorization Code” flow powered by Supabase; only

short-lived, `HttpOnly`, `Secure` cookies are stored—no passwords ever touch this server.

• All traffic is served exclusively over HTTPS through Cloudflare’s edge, and every sensitive

POST request carries a one-time CSRF/transaction token.

• The backend runs inside the Cloudflare Workers sandbox (no local file-system, no long-running

processes), drastically reducing the attack surface.

For detailed disclosure guidelines see SECURITY.md.

🪪 License

Released under the Apache License 2.0 — commercial support or alternative licensing:

azuev@outlook.com