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Fibery MCP Server

Name: Fibery
Availability: InStock
Author: Vinkius

Built by Vinkius GDPR ToolsFree for Subscribers

Connect your Fibery workspace to automate work management — query entities, create tasks, and manage comments directly from your AI agent.

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What is the Fibery MCP Server?

The Fibery MCP Server gives AI agents like Claude, ChatGPT, and Cursor direct access to Fibery via 11 tools. Connect your Fibery workspace to automate work management — query entities, create tasks, and manage comments directly from your AI agent. Powered by the Vinkius - no API keys, no infrastructure, connect in under 2 minutes.

Built-in capabilities (11)

add_commentcreate_entitydelete_entityget_commentsget_entityget_schemalist_appslist_usersquery_entitiessearch_entitiesupdate_entity

Tools for your AI Agents to operate Fibery

Ask your AI agent "List all active spaces in my Fibery account." and get the answer without opening a single dashboard. With 11 tools connected to real Fibery data, your agents reason over live information, cross-reference it with other MCP servers, and deliver insights you would spend hours assembling manually.

Works with Claude, ChatGPT, Cursor, and any MCP-compatible client. Powered by the Vinkius - your credentials never touch the AI model, every request is auditable. Connect in under two minutes.

Why teams choose Vinkius

One subscription gives you access to thousands of MCP servers - and you can deploy your own to the Vinkius Edge. Your AI agents only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure and security, zero maintenance.

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Fibery MCP Server capabilities

11 tools

add_comment

Add a comment to an entity

create_entity

Create a new entity in a specific database

delete_entity

Delete an entity

get_comments

Retrieve comments for a specific entity

get_entity

Get a specific entity by its UUID

get_schema

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

list_apps

List all Fibery apps (spaces)

list_users

List all users in the Fibery workspace

query_entities

Query entities from a specific database (type)

search_entities

Search for entities by keyword across all databases

update_entity

Update an existing entity

What the Fibery MCP Server unlocks

Fibery is a work management platform that adapts to your unique processes. This MCP server allows your AI agent to interact with your Fibery workspace seamlessly.

Key Features

Space & Schema Discovery — List all your spaces (apps) and retrieve the full schema to understand your custom databases and fields.
Entity Management — Query, create, update, and delete entities across any of your custom databases flawlessly.
Comment Integration — Read and add comments to entities to keep your team in sync natively.
Advanced Querying — Use granular filters and field selections to retrieve exactly the data you need synchronously.
Cross-Database Search — Search for information across your entire workspace flawlessly through the agent.

How it works

1. Subscribe to this server 2. Enter your Fibery workspace name and API Token 3. Start managing your projects and tasks from Claude, Cursor, or any MCP-compatible client

Who is this for?

Product Managers — automate task updates and insight gathering without manual portal navigation
Software Teams — sync development progress and manage bug tracking directly from your chat workflow
Operations Teams — pull structured data and manage custom workflows through simple natural language queries

Frequently asked questions about the Fibery MCP Server

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.

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.

Can I query custom fields created in my spaces?

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