Fibery Connector for AI agents.
11 live capabilities
Manage your work management projects and custom databases through natural language.
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Why people use Fibery
Stop Wasting Time on Manual Fibery Data Entry
This Connector changes that. You can just tell your agent to update the status, find the right record, or add a comment. It turns your workspace into a conversational database where the data moves as fast as you can type. You get your time back to actually do the work instead of managing the work.
What Vinkius changes
It turns your Fibery workspace into a conversational database for your agent.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 5,900+ Connectors
- Real-world use case 01
Updating task statuses
A PM asks the agent to change the status of the 'API Migration' task to 'In Progress'.
- Real-world use case 02
Summarizing team feedback
A designer asks for a summary of feedback on the 'Login Page'.
- Real-world use case 03
Logging new bugs
A developer reports a CSS issue via chat.
Complete set · 11capabilities
The complete Fibery capability set.
These are the exact actions your AI can choose when you ask it to work with Fibery.
01—04
4 capabilities in this set.
Part of 11 available through Fibery.
- 01 Capability
Add comment
Adds a comment to a specific entity. Use this to leave feedback or updates on a task.
- 02 Capability
List users
Lists all users in your workspace. This lets your agent see who is involved in your organization.
- 03 Capability
Query entities
Queries entities from a specific database type. Use this to filter for specific tasks or records.
- 04 Capability
Search entities
Searches for entities using keywords across all databases. This is your go-to for finding anything quickly.
05—08
4 capabilities in this set.
Part of 11 available through Fibery.
- 05 Capability
List apps
Lists all your Fibery spaces. Use this to see what different areas of your workspace are available.
- 06 Capability
Update entity
Updates an existing entity. Use this to change statuses, dates, or descriptions on your records.
- 07 Capability
Create entity
Creates a new entry in a chosen database. This is how you add new tasks or records via your agent.
- 08 Capability
Delete entity
Removes an entity from your workspace. Use this to clean up outdated or incorrect records.
09—11
3 capabilities in this set.
Part of 11 available through Fibery.
- 09 Capability
Get comments
Fetches all comments for a specific entity. This helps you see the full history of a task or item.
- 10 Capability
Get entity
Retrieves a specific entity using its UUID. Use this to get the exact details of a single record.
- 11 Capability
Get schema
Pulls the full workspace schema. It helps your agent understand your custom fields and database types.
Set up in minutes
One URL. Then ask Fibery to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use Fibery from the conversation.
Choose your client
Live previewAdvanced clients IDE · CLI
Claude · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_FVDrUOnX1TAXSVmY2zKUhP8FmhPpxv5qO04UXNf3/mcp - Step 01
Open Connectors
In Claude Web or Claude Desktop, open Settings and choose Connectors.
- Step 02
Add the URL
Choose Add custom connector, name it Fibery, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable Fibery for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_FVDrUOnX1TAXSVmY2zKUhP8FmhPpxv5qO04UXNf3/mcp - Step 01
Open MCP settings
On desktop, open Settings and MCP servers. On web, open your workspace app or connector settings.
- Step 02
Add the URL
Choose Add server with Streamable HTTP, or create a custom MCP app, then paste the Fibery URL.
- Step 03
Save and start
Save the connection and enable Fibery in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"fibery": {
"url": "https://edge.vinkius.com/vk_preview_FVDrUOnX1TAXSVmY2zKUhP8FmhPpxv5qO04UXNf3/mcp"
}
}
} - Step 01
Open MCP Settings
Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"
- Step 02
Add the server config
Paste the JSON configuration above into the mcp.json file that opens
- Step 03
Save the file
Cursor will automatically detect the new Connector
- Step 04
Start using Fibery
Open Agent mode in chat and ask: "Using Fibery, help me...". 11 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"fibery": {
"url": "https://edge.vinkius.com/vk_preview_FVDrUOnX1TAXSVmY2zKUhP8FmhPpxv5qO04UXNf3/mcp"
}
}
} - Step 01
Create MCP config
Create a .vscode/mcp.json file in your project root
- Step 02
Add the server config
Paste the JSON configuration above
- Step 03
Enable Agent mode
Open GitHub Copilot Chat and switch to Agent mode using the dropdown
- Step 04
Start using Fibery
Ask Copilot: "Using Fibery, help me...". 11 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"fibery": {
"url": "https://edge.vinkius.com/vk_preview_FVDrUOnX1TAXSVmY2zKUhP8FmhPpxv5qO04UXNf3/mcp"
}
}
} - Step 01
Open MCP Settings
Go to Settings → MCP Configuration or press Cmd+Shift+P and search "MCP"
- Step 02
Add the server
Paste the JSON configuration above into mcp_config.json
- Step 03
Save and reload
Windsurf will detect the new server automatically
- Step 04
Start using Fibery
Open Cascade and ask: "Using Fibery, help me...". 11 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"fibery": {
"url": "https://edge.vinkius.com/vk_preview_FVDrUOnX1TAXSVmY2zKUhP8FmhPpxv5qO04UXNf3/mcp"
}
}
} - Step 01
Open Cline MCP Settings
Click the Connectors icon in the Cline sidebar panel
- Step 02
Add remote server
Click "Add Connector" and paste the configuration above
- Step 03
Enable the server
Toggle the server switch to ON
- Step 04
Start using Fibery
Ask Cline: "Using Fibery, help me...". 11 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add fibery --transport http "https://edge.vinkius.com/vk_preview_FVDrUOnX1TAXSVmY2zKUhP8FmhPpxv5qO04UXNf3/mcp" - Step 01
Install Claude Code
Run npm install -g @anthropic-ai/claude-code if not already installed
- Step 02
Add the Connector
Run the command above in your terminal
- Step 03
Verify the connection
Run claude mcp to list connected servers, or type /mcp inside a session
- Step 04
Start using Fibery
Ask Claude: "Using Fibery, show me...". 11 tools are ready
Where the request belongs
Work Fibery can move forward.
This is for people who live in complex project management capabilities but hate the manual overhead of keeping everything updated. It's for the PM who's tired of copy-pasting and the dev who wants to update tickets via chat.
Product Manager
Updates task statuses and pulls progress reports during standups without leaving the chat.
Software Engineer
Manages bug tracking and updates development progress directly from their coding environment.
Operations Lead
Pulls structured data for weekly reporting without manual exports or dashboard navigation.
Build the capability set
Add more capabilities.
Each Connector adds new actions and data without changing how you work.
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Karbon
Manage your accounting firm's workflow, contacts, and work items directly via AI agents.
FlowUs
All-in-one knowledge management and collaboration platform. manage pages, blocks, and databases via AI.
Worktile
Collaborative project management and team communication platform. manage tasks, projects, and messages via AI.
Bring your own AI
Change the model, client or framework. Keep Fibery connected.
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Claude -
ChatGPT -
Gemini -
Cursor -
VS Code -
Windsurf -
ZCode -
Cline -
Zed -
Continue -
Kiro -
Roo Code -
Zencoder -
Goose -
Void -
Augment Code -
Amp -
Qodo -
Tabnine -
Pieces -
Sourcegraph Cody -
JetBrains -
Warp -
Amazon Q -
Antigravity -
BoltAI -
Raycast -
Jan -
LM Studio -
AnythingLLM -
Open WebUI -
Msty -
Cherry Studio -
LibreChat -
TypingMind -
Chorus -
5ire -
n8n -
LangChain -
LlamaIndex -
CrewAI -
Vercel AI SDK
Before you connect
Questions about Fibery.
The practical details behind the request, access and result.
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 capability 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 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.
One connection away
Give your agent a direct line to Fibery.
Connect Fibery once. Keep it beside 5,900+ managed Connectors when the next task needs more.
Explore every Connector No credit card required · Free tier available