Kollektiv Document Management▌

by alexander-zuev
Kollektiv Document Management offers secure document management system software with AI-powered search, analysis, and OA
Enables AI to search and analyze user-uploaded documents through Kollektiv's document management system with secure OAuth authentication and natural language querying capabilities.
github stars
★ 61
best for
- / Users who previously built personal LLM knowledge bases
- / Developers who used Kollektiv's document management features
capabilities
- / Search uploaded documents with natural language queries
- / Analyze document content through AI
- / Access documents via OAuth authentication
- / Query personal document collections
what it does
This server is deprecated and will be shut down soon. It previously allowed AI to search and analyze user-uploaded documents through Kollektiv's document management system.
about
Kollektiv Document Management is an official MCP server published by alexander-zuev that provides AI assistants with tools and capabilities via the Model Context Protocol. Kollektiv Document Management offers secure document management system software with AI-powered search, analysis, and OA It is categorized under ai ml, analytics data.
how to install
You can install Kollektiv Document Management in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server supports remote connections over HTTP, so no local installation is required.
license
Apache-2.0
Kollektiv Document Management is released under the Apache-2.0 license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.
readme
⚠️ 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[Original Description - No longer maintained] Kollektiv MCP enables you to build personal LLM knowledge base in seconds and use it from your favorite editor / client.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:
kollektiv- you can you give the server any descriptive name
- command:
npx- ensure you have node.js install before running this command
- args:
-y- this enables your shell to installmcp-remotewhich is currently required to connect to remote serversmcp-remote- this enables your client to connect to a remote MCP server (in this case Kollektiv)https://mcp.thekollektiv.ai/mcp- is the endpoint you are connecting to
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
jsonit 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:
npx -y mcp-remote https://mcp.thekollektiv.ai/mcp
- name:
- give your server a descriptive name such as
kollektiv
- give your server a descriptive name such as
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
- if you are not authenticated - you will be taken to the authentication page
- Remember to add
"chat.mcp.enabled": true,in yoursettings.json - Switch to Agent mode
💡VS Code requires you to manually start your server, add
chat.mcp.enabledand 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:
- Copy & paste configuration into your client's
jsonconfiguration - Restart the app
- Authenticate if not already
- 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 o