# Fibery MCP for AI Agents AI Agent Connect

> Fibery MCP connects your Fibery workspace to your AI agent. You can query entities, create tasks, and manage comments directly from your chat window. It bridges the gap between your custom data schemas and your AI's logic, letting you handle project management without leaving your workspace.

## Overview
- **Category:** productivity
- **Price:** Free
- **Endpoint:** https://edge.vinkius.com/vk_preview_FVDrUOnX1TAXSVmY2zKUhP8FmhPpxv5qO04UXNf3/ai-agent-connect
- **Tags:** task-management, workflow-automation, schema-management, collaboration, database-query

## Description

This Connector lets you treat your Fibery workspace as a live data source for your AI agent. Instead of jumping between tabs to check project statuses or manually entering updates, you can just ask your agent to do it. It can look up specific entities, pull data from multiple databases, and update comments in real-time. You'll find it's especially useful for keeping your project documentation and task lists in sync because the agent actually understands your custom fields and schemas. It's part of the Vinkius catalog, making it easy to plug into your existing workflow. You can have your agent draft a new task based on a meeting summary, update a bug status, or pull a list of all pending items across different spaces. It takes the friction out of data entry and keeps your workspace as the single source of truth while you stay focused on the actual work.

## Tools

### add_comment
Adds a comment to a specific entity. Use this to leave feedback or updates on a task.

### list_users
Lists all users in your workspace. This lets your agent see who is involved in your organization.

### query_entities
Queries entities from a specific database type. Use this to filter for specific tasks or records.

### search_entities
Searches for entities using keywords across all databases. This is your go-to for finding anything quickly.

### list_apps
Lists all your Fibery spaces. Use this to see what different areas of your workspace are available.

### update_entity
Updates an existing entity. Use this to change statuses, dates, or descriptions on your records.

### create_entity
Creates a new entry in a chosen database. This is how you add new tasks or records via your agent.

### delete_entity
Removes an entity from your workspace. Use this to clean up outdated or incorrect records.

### get_comments
Fetches all comments for a specific entity. This helps you see the full history of a task or item.

### get_entity
Retrieves a specific entity using its UUID. Use this to get the exact details of a single record.

### get_schema
Pulls the full workspace schema. It helps your agent understand your custom fields and database types.

## Prompt Examples

**Prompt:** 
```
What's the status of the 'Website Redesign' project?
```

**Response:** 
```
I've checked the **Website Redesign** project for you. Here is the current status:

| Project Component | Status | Last Update |
| :--- | :--- | :--- |
| Homepage Layout | ✅ Completed | 2 hours ago |
| Navigation Menu | 🚧 In Progress | 15 mins ago |
| Mobile View | ⏳ Pending | 3 days ago |

Would you like me to pull more details on the navigation menu?
```

**Prompt:** 
```
Add a comment to the 'Database Migration' task saying the team is blocked by the API keys.
```

**Response:** 
```
Done! I've added that comment to the **Database Migration** task. Your team will see it in the comments section now.
```

**Prompt:** 
```
Search for any tasks related to 'security' across all my spaces.
```

**Response:** 
```
I found 4 tasks related to **security** across your workspace:

*   **SSL Certificate Renewal** (Product Space)
*   **User Auth Patch** (Dev Space)
*   **Firewall Audit** (Ops Space)
*   **Data Encryption** (Dev Space)

Which one should I look into for you?
```

## Capabilities

### Query specific databases
Ask your agent to pull specific records from any of your custom Fibery databases.

### Create new project tasks
Generate new entries or tasks in your workspace using natural language prompts.

### Update existing entity data
Change statuses, dates, or descriptions on your records without opening the browser.

### Manage team comments
Read and post comments on entities to keep your team updated in real-time.

### Search across all workspaces
Find any information across your entire workspace using a single keyword search.

### Retrieve workspace schemas
Let your agent understand your unique fields and database types automatically.

## Use Cases

### Updating task statuses
A PM asks the agent to change the status of the 'API Migration' task to 'In Progress'. The agent uses update_entity to do it instantly.

### Summarizing team feedback
A designer asks for a summary of feedback on the 'Login Page'. The agent uses get_comments to pull the thread and summarize it.

### Logging new bugs
A developer reports a CSS issue via chat. The agent uses create_entity to add a new bug report to the correct database.

### Cross-project searching
An ops lead asks for all tasks related to 'Security'. The agent uses search_entities to find them across all spaces.

## Benefits

- Stop manual data entry by using create_entity to add tasks from chat summaries instead of typing them into a web form.
- Get instant answers across your whole workspace using search_entities instead of clicking through dozens of folders.
- Keep your team in the loop by using add_comment to post updates directly from your agent without switching tabs.
- Understand your custom data better because get_schema lets the agent see your specific fields and database types.
- Update project statuses in seconds with update_entity without ever having to open a browser tab.
- Pull historical context quickly by using get_comments to see previous discussions on a record in one view.

## How It Works

The bottom line is it turns your Fibery workspace into a conversational database for your agent.

1. Subscribe to the Fibery MCP on Vinkius.
2. Enter your Fibery workspace name and API token in your client settings.
3. Start asking your agent to create tasks, update records, or search your data.

## Frequently Asked Questions

**Can I use the Fibery MCP to create new tasks?**
Yes, you can create new records in any of your databases using natural language. Your agent will handle the data entry for you.

**Does the Fibery MCP understand my custom fields?**
Yes, it pulls your workspace schema so the agent knows exactly what fields you have. This means it can update specific data points accurately.

**Can I search across all my Fibery spaces at once?**
Yes, the search tool looks across your entire workspace for keywords. You don't have to specify which app or space to search in.

**How do I update a task status using this Connector?**
Just ask your agent to update a specific task. It will find the correct record and change the status for you automatically.

**Can I see the history of comments on a project?**
Yes, you can ask the agent to pull all comments for a specific entity to see the full thread of conversation.

**Is this Connector good for large workspaces?**
It's designed to handle large workspaces by querying specific databases or searching across all of them efficiently.

**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.