Fibery MCP

왜 쓰나요

핵심 기능

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

라이브 데모

실제 사용 모습

fibery-mcp.replay ▶ 준비됨

0/0

설치

클라이언트 선택

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

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

Claude Desktop → Settings → Developer → Edit Config 열기. 저장 후 앱 재시작.

~/.cursor/mcp.json · .cursor/mcp.json

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

Cursor는 Claude Desktop과 동일한 mcpServers 스키마 사용. 프로젝트 설정이 전역보다 우선.

VS Code → Cline → MCP Servers → Edit

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

Cline 사이드바의 MCP Servers 아이콘 클릭 후 "Edit Configuration" 선택.

~/.codeium/windsurf/mcp_config.json

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

Claude Desktop과 같은 형식. Windsurf 재시작 후 적용.

~/.continue/config.json

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

Continue는 맵이 아닌 서버 오브젝트 배열 사용.

~/.config/zed/settings.json

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

context_servers에 추가. 저장 시 Zed가 핫 리로드.

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

한 줄 명령. claude mcp list로 확인, claude mcp remove로 제거.

사용 사례

실전 활용법: Fibery MCP

Convert customer insights into prioritized feature requests

👤 Product managers using Fibery ⏱ ~15 min intermediate

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

사전 조건

Server/skill installed and authenticated — See repo README

흐름

Pull recent insights

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

→ 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.✓ 복사됨

→ Three new Features with backlinks

결과: Backlog grounded in real user feedback with traceability.

함정

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

함께 쓰기: filesystem

조합

다른 MCP와 조합해 10배 효율

fibery-mcp + filesystem

Pair with filesystem for complementary capabilities

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

도구

이 MCP가 노출하는 것

도구	입력	언제 호출	비용
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

비용 및 제한

운영 비용

API 쿼터: See provider docs for rate limits
호출당 토큰: Varies by tool
금액: See repo README for pricing details
팁: Cache tool results and avoid repeated identical calls.

보안

권한, 시크릿, 파급범위

자격 증명 저장: Use environment variables; never commit secrets

데이터 외부 송신: Tool calls go to the provider's API as documented

문제 해결

자주 발생하는 오류와 해결

401 Unauthorized

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

확인: 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.

확인: Inspect the type's fields

대안

Fibery MCP 다른 것과 비교

대안	언제 쓰나	단점/장점
Linear MCP	Eng-only	Fixed schema; less flexible