What is Fibery MCP Server?
The Fibery MCP Server connects AI assistants to your Fibery workspace via the Model Context Protocol. Once connected, your AI assistant can query databases, manage entities, run searches, and even modify your workspace schema — all through natural language.Fibery MCP Server link →
https://mcp.fibery.io/mcpWhat the Fibery MCP Server can do
Read operations
- Explore workspace structure — Discover spaces, databases, and fields
- Query databases — Filter, sort, and paginate any database
- Full-text search — Search across all content in the workspace
- Activity history — See who changed what, and when
- Retrieve view data — Pull data from saved views as configured
Write operations
- Manage entities — Create, update, and delete entities
- Workflow management — Move entities through workflow states
- Assignments and links — Assign users and link related records
- Rich-text documents — Read and write entity descriptions and documents
- File attachments — Attach files to records by fetching from a URL
Schema modifications
- Spaces and databases — Create and delete spaces and databases
- Fields — Add fields of any type: text, number, date, dropdown, relation, formula
- Workflow stages — Configure workflow states
- Views — Create and update boards, timelines, calendars, and forms
Example prompts
These examples show the kinds of requests your AI assistant can handle once connected: Querying and reporting- “Show me all urgent bugs that aren’t done yet.”
- “What did team X work on this week?”
- “Who has the most open bugs assigned to them right now?”
- “Which Icebox features have the highest customer demand?”
- “Give me a sprint health report — what’s at risk and what’s overdue?”
- “Write this week’s release notes from everything that shipped.”
- “Give me a full picture of feature X — state, owner, linked bugs, description.”
- “Prepare my standup — what did I work on yesterday and what’s stuck?”
- “Find all bugs that have been In Progress for more than a week with no updates.”
- “Create a bug: form fields lose their value when switching tabs. Assign it to Nastya and mark it urgent.”
- “Move all Implemented features to Done.”
- “Link this customer request to the Figma plugin feature.”
- “Triage new customer requests — match each one to the most relevant feature.”
- “Add a Severity field to bugs — Critical, High, Medium, Low.”
- “Set up a new Design space with task tracking linked to features.”
FAQ
I see "This MCP server cannot be used in Deep Research/Agent"
I see "This MCP server cannot be used in Deep Research/Agent"
This is expected. Fibery’s MCP Server does not implement the
search and fetch tools that Deep Research and Agent modes require, because they are not relevant to typical Fibery use cases.Fibery’s MCP Server works well for:- Data querying and reporting
- Entity creation and updates
- Workspace automation and integrations
How does MCP work with rich text?
How does MCP work with rich text?
MCP can update small parts of documents and rich-text fields.Some things are not supported yet:
- Table structure edits (moving table rows and columns)
- Column layouts (2, 3, or 4 columns)
- Embeds
- File attachments
Can I connect more than one Fibery workspace to Claude?
Can I connect more than one Fibery workspace to Claude?
Yes, but the connector has no native multiple-workspace toggle, so you need a small trick. Add
?workspace=WORKSPACENAME to the end of each MCP connector URL before adding it in Claude, for example https://mcp.fibery.io/mcp?workspace=acme.The parameter does nothing on Fibery’s side. It only makes the URL unique, so Claude registers it as a separate connector instead of merging it with one you’ve already added.Why can't ChatGPT or Codex manage automations, edit whiteboards, or run code?
Why can't ChatGPT or Codex manage automations, edit whiteboards, or run code?
The Fibery MCP Server hides the automation, whiteboard editing, and code execution tools from ChatGPT and Codex because of OpenAI’s restrictions on how MCP servers can behave. We are working on enabling these tools in ChatGPT.
