ai-ml

Folderr

by folderr-tech

Connect with Folderr to manage and interact with Folderr Assistants via API for seamless task automation and communicati

Integrates with Folderr's API to enable management and communication with Folderr Assistants, facilitating tasks like listing assistants and sending questions.

github stars

2

Two authentication methods supportedNo setup required with npx

best for

  • / Automating interactions with Folderr AI assistants
  • / Integrating Folderr workflows into other applications
  • / Managing multiple assistants programmatically

capabilities

  • / List available Folderr assistants
  • / Send questions to specific assistants
  • / Execute automated workflows
  • / Authenticate with email/password or API token
  • / Get workflow input requirements
  • / List available workflows

what it does

Connects to Folderr's API to interact with AI assistants and execute workflows. Lets you list, query, and manage your Folderr assistants programmatically.

about

Folderr is an official MCP server published by folderr-tech that provides AI assistants with tools and capabilities via the Model Context Protocol. Connect with Folderr to manage and interact with Folderr Assistants via API for seamless task automation and communicati It is categorized under ai ml. This server exposes 7 tools that AI clients can invoke during conversations and coding sessions.

how to install

You can install Folderr 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 runs locally on your machine via the stdio transport.

license

MIT

Folderr is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.

readme

Folderr MCP Server

A Model Context Protocol (MCP) server that provides tools to interact with Folderr's API, specifically for managing and communicating with Folderr Assistants.

Installation

Add to your MCP Settings

{
  "mcpServers": {
    "folderr": {
      "command": "npx",
      "args": ["-y", "@folderr/folderr-mcp-server"]
    }
  }
}

Features

The server provides the following tools:

Authentication

Two methods of authentication are supported:

  1. Login with Email/Password

    {
      "name": "login",
      "arguments": {
        "email": "user@example.com",
        "password": "your-password"
      }
    }
    
  2. API Token Authentication

    {
      "name": "set_api_token",
      "arguments": {
        "token": "your-api-token"
      }
    }
    

    API tokens can be generated from the Folderr developers section. This method is recommended for automated or long-running processes.

Assistant Management

  1. List Assistants

    {
      "name": "list_assistants",
      "arguments": {}
    }
    

    Returns a list of all available assistants for the authenticated user.

  2. Ask Assistant

    {
      "name": "ask_assistant",
      "arguments": {
        "assistant_id": "assistant-id",
        "question": "Your question here"
      }
    }
    

    Send a question to a specific assistant and receive their response.

Configuration

The server stores its configuration in a config.json file, which includes:

  • Base URL for the Folderr API
  • Authentication token (from login or API key)

Error Handling

The server provides detailed error messages for common scenarios:

  • Authentication failures
  • Invalid requests
  • API errors
  • Network issues

Development

To build the server:

npm install
npm run build

Usage in MCP Settings

Add the following to your MCP settings configuration:

{
  "mcpServers": {
    "folderr": {
      "command": "node",
      "args": ["/path/to/folderr-server/build/index.js"]
    }
  }
}

Authentication Flow

  1. Either:
    • Use the login tool with email and password
    • Use the set_api_token tool with an API token from Folderr's developers section
  2. The authentication token is automatically saved and used for subsequent requests
  3. All assistant-related tools require authentication before use

Error Messages

Common error messages and their meanings:

  • "Not logged in": No authentication token is set
  • "Login failed": Invalid credentials
  • "Failed to list assistants": Error retrieving assistant list
  • "Failed to ask assistant": Error sending question to assistant

FAQ

What is the Folderr MCP server?
Folderr is a Model Context Protocol (MCP) server profile on explainx.ai. MCP lets AI hosts (e.g. Claude Desktop, Cursor) call tools and resources through a standard interface; this page summarizes categories, install hints, and community ratings.
How do MCP servers relate to agent skills?
Skills are reusable instruction packages (often SKILL.md); MCP servers expose live capabilities. Teams frequently combine both—skills for workflows, MCP for APIs and data. See explainx.ai/skills and explainx.ai/mcp-servers for parallel directories.
How are reviews shown for Folderr?
This profile displays 10 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.5 out of 5—verify behavior in your own environment before production use.
MCP server reviews

Ratings

4.510 reviews
  • Shikha Mishra· Oct 10, 2024

    Folderr is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.

  • Piyush G· Sep 9, 2024

    We evaluated Folderr against two servers with overlapping tools; this profile had the clearer scope statement.

  • Chaitanya Patil· Aug 8, 2024

    Useful MCP listing: Folderr is the kind of server we cite when onboarding engineers to host + tool permissions.

  • Sakshi Patil· Jul 7, 2024

    Folderr reduced integration guesswork — categories and install configs on the listing matched the upstream repo.

  • Ganesh Mohane· Jun 6, 2024

    I recommend Folderr for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.

  • Oshnikdeep· May 5, 2024

    Strong directory entry: Folderr surfaces stars and publisher context so we could sanity-check maintenance before adopting.

  • Dhruvi Jain· Apr 4, 2024

    Folderr has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.

  • Rahul Santra· Mar 3, 2024

    According to our notes, Folderr benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.

  • Pratham Ware· Feb 2, 2024

    We wired Folderr into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.

  • Yash Thakker· Jan 1, 2024

    Folderr is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.