Fibery MCP — Install & Live Demo

Why use it

Key features

Auto-discovers your custom Fibery types via the schema API
Read/write entities with rich-text descriptions
Cross-database links (Feature → Customer Insight, etc.)
Fibery formula execution for derived fields
Workspace-scoped token

Live Demo

What it looks like in practice

fibery-mcp.replay ▶ ready

0/0

Install

Pick your client

~/Library/Application Support/Claude/claude_desktop_config.json · Windows: %APPDATA%\Claude\claude_desktop_config.json

{
  "mcpServers": {
    "fibery-mcp": {
      "command": "uvx",
      "args": [
        "fibery-mcp-server"
      ]
    }
  }
}

Open Claude Desktop → Settings → Developer → Edit Config. Restart after saving.

~/.cursor/mcp.json · .cursor/mcp.json

{
  "mcpServers": {
    "fibery-mcp": {
      "command": "uvx",
      "args": [
        "fibery-mcp-server"
      ]
    }
  }
}

Cursor uses the same mcpServers schema as Claude Desktop. Project config wins over global.

VS Code → Cline → MCP Servers → Edit

{
  "mcpServers": {
    "fibery-mcp": {
      "command": "uvx",
      "args": [
        "fibery-mcp-server"
      ]
    }
  }
}

Click the MCP Servers icon in the Cline sidebar, then "Edit Configuration".

~/.codeium/windsurf/mcp_config.json

{
  "mcpServers": {
    "fibery-mcp": {
      "command": "uvx",
      "args": [
        "fibery-mcp-server"
      ]
    }
  }
}

Same shape as Claude Desktop. Restart Windsurf to pick up changes.

~/.continue/config.json

{
  "mcpServers": [
    {
      "name": "fibery-mcp",
      "command": "uvx",
      "args": [
        "fibery-mcp-server"
      ]
    }
  ]
}

Continue uses an array of server objects rather than a map.

~/.config/zed/settings.json

{
  "context_servers": {
    "fibery-mcp": {
      "command": {
        "path": "uvx",
        "args": [
          "fibery-mcp-server"
        ]
      }
    }
  }
}

Add to context_servers. Zed hot-reloads on save.

claude mcp add fibery-mcp -- uvx fibery-mcp-server

One-liner. Verify with claude mcp list. Remove with claude mcp remove.

Use Cases

Real-world ways to use Fibery MCP

Convert customer insights into prioritized feature requests

👤 Product managers using Fibery ⏱ ~15 min intermediate

When to use: You have a stack of Insight entities and need to roll them up into Features.

Prerequisites

Server/skill installed and authenticated — See repo README

Flow

Pull recent insights

Find Insight entities created this month grouped by theme.✓ Copied

→ Themed clusters of insights
Create features

For the top 3 themes, create a Feature entity linked to all contributing Insights with a 'why now' summary.✓ Copied

→ Three new Features with backlinks

Outcome: Backlog grounded in real user feedback with traceability.

Pitfalls

Fibery types are workspace-specific — Fibery types are workspace-specific — always start with describe_schema before assuming a field name.

Combine with: filesystem

Combinations

Pair with other MCPs for X10 leverage

fibery-mcp + filesystem

Pair with filesystem for complementary capabilities

Use this server together with filesystem to complete a multi-step task.✓ Copied

Tools

What this MCP exposes

Tool	Inputs	When to call	Cost
describe_schema	(none)	First — to discover types and fields	1 API call
query_entities	type, filter, limit	Find entities matching criteria	1 API call
update_entity	id, fields	Change a field value	1 API call

Cost & Limits

What this costs to run

API quota: See provider docs for rate limits
Tokens per call: Varies by tool
Monetary: See repo README for pricing details
Tip: Cache tool results and avoid repeated identical calls.

Security

Permissions, secrets, blast radius

Credential storage: Use environment variables; never commit secrets

Data egress: Tool calls go to the provider's API as documented

Troubleshooting

Common errors and fixes

401 Unauthorized

Generate an API token at Fibery workspace settings → API keys. Set FIBERY_HOST and FIBERY_TOKEN.

Verify: describe_schema returns types

field not found

Field names in Fibery's API use the type-qualified form (e.g. Workflow/State). Use describe_schema to find the exact name.

Verify: Inspect the type's fields

Alternatives

Fibery MCP vs others

Alternative	When to use it instead	Tradeoff
Linear MCP	Eng-only	Fixed schema; less flexible

More

Resources

📖 Read the official README on GitHub

🐙 Browse open issues

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