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ClaudeChatGPTPerplexityGeminiMicrosoft CopilotRaycastMeta AIGrokZ.aiQwenKimi
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Use Fibery with your AI.

Connect your account once and let the AI you already use work with it, without building another integration. Connect your Fibery workspace to automate work management. query entities, create tasks, and manage comments directly from your AI agent.

Included with plan

Ask AI about this Connector

Developed, maintained, and hosted by Vinkius.

MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED

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Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.

ChatGPTClaudeCursorPerplexityGeminiMicrosoft CopilotRaycastMeta AI

Complete set · 11 capabilities

The complete Fibery capability set.

These are the exact actions your AI can choose when you ask it to work with Fibery.

Capability set01 / 03

01-04

4 capabilities in this set.

Part of 11 available through Fibery.

  1. 01

    Add comment

    Add a comment to an entity

  2. 02

    List users

    List all users in the Fibery workspace

  3. 03

    Search entities

    Search for entities by keyword across all databases

  4. 04

    Delete entity

    Delete an entity

Capability set02 / 03

05-08

4 capabilities in this set.

Part of 11 available through Fibery.

  1. 05

    List apps

    List all Fibery apps (spaces)

  2. 06

    Query entities

    Query entities from a specific database (type)

  3. 07

    Update entity

    Update an existing entity

  4. 08

    Get comments

    Retrieve comments for a specific entity

Capability set03 / 03

09-11

3 capabilities in this set.

Part of 11 available through Fibery.

  1. 09

    Get entity

    Get a specific entity by its UUID

  2. 10

    Get schema

    Retrieve the full schema of the workspace, including all databases (types) and fields

  3. 11

    Create entity

    Create a new entity in a specific database

Observed, not estimated

832ms average. Fast in production.

Fibery is checked daily against the live service.

Daily averagePeak 1036ms
Aug 24Today
Fastest day
772ms
Slowest day
1036ms
14-day trend
Improving-11%

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 11 capabilities arrive ready to run.

Preview access · not provider authentication

The vk_preview_* token belongs to Vinkius preview infrastructure. It lets Claude discover and display the capabilities of Fibery, so you can see the experience inside your AI.

It does not authenticate your account with Fibery. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.

Fibery Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_FVDrUOnX1TAXSVmY2zKUhP8FmhPpxv5qO04UXNf3/mcp

Claude Desktop

Follow the steps below to connect in seconds.

  1. 1In Claude Desktop, open Settings → Connectors.
  2. 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
  3. 3Click Add and start a new chat — Fibery capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "fibery-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_FVDrUOnX1TAXSVmY2zKUhP8FmhPpxv5qO04UXNf3/mcp"
    }
  }
}
  • Claude
  • ChatGPT
  • Cursor
  • VS Code
  • Windsurf
  • Claude Code
  • JetBrains
  • Cline

Step-by-step instructions for each client are in the guide. How to connect

FAQ

Questions Fibery owners ask.

  • 01

    How do I find my Fibery Workspace name?

    Your workspace name is the subdomain in your Fibery URL. For example, if you access Fibery at https://my-team.fibery.io, your workspace name is my-team.

  • 02

    How do I generate a Fibery API Token?

    In your Fibery workspace, go to Settings > API, click on Create New Token, give it a name, and copy the generated token immediately.

  • 03

    Can I query custom fields created in my spaces?

    Yes! Use the get_schema capability to see the fully qualified names of your custom fields, and then include them in the select_json parameter of the query_entities capability.

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