cocoindex-claude MCP — Сценарии использования, Установка & Живое демо

Зачем использовать

Ключевые функции

Drop-in knowledge of CocoIndex flow definitions, sources, and sinks
Guidance on writing custom transformation functions correctly
Claude picks the right CLI vs programmatic API based on task
Understands incremental processing semantics so it doesn't suggest full rebuilds
Official — authored by the CocoIndex team

Живое демо

Как выглядит на практике

cocoindex-claude-skill.replay ▶ готово

0/0

Установка

Выберите клиент

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

{
  "mcpServers": {
    "cocoindex-claude-skill": {
      "command": "git",
      "args": [
        "clone",
        "https://github.com/cocoindex-io/cocoindex-claude",
        "~/.claude/skills/cocoindex-claude"
      ],
      "_inferred": true
    }
  }
}

Откройте Claude Desktop → Settings → Developer → Edit Config. Перезапустите после сохранения.

~/.cursor/mcp.json · .cursor/mcp.json

{
  "mcpServers": {
    "cocoindex-claude-skill": {
      "command": "git",
      "args": [
        "clone",
        "https://github.com/cocoindex-io/cocoindex-claude",
        "~/.claude/skills/cocoindex-claude"
      ],
      "_inferred": true
    }
  }
}

Cursor использует ту же схему mcpServers, что и Claude Desktop. Конфиг проекта приоритетнее глобального.

VS Code → Cline → MCP Servers → Edit

{
  "mcpServers": {
    "cocoindex-claude-skill": {
      "command": "git",
      "args": [
        "clone",
        "https://github.com/cocoindex-io/cocoindex-claude",
        "~/.claude/skills/cocoindex-claude"
      ],
      "_inferred": true
    }
  }
}

Щёлкните значок MCP Servers на боковой панели Cline, затем "Edit Configuration".

~/.codeium/windsurf/mcp_config.json

{
  "mcpServers": {
    "cocoindex-claude-skill": {
      "command": "git",
      "args": [
        "clone",
        "https://github.com/cocoindex-io/cocoindex-claude",
        "~/.claude/skills/cocoindex-claude"
      ],
      "_inferred": true
    }
  }
}

Тот же формат, что и Claude Desktop. Перезапустите Windsurf для применения.

~/.continue/config.json

{
  "mcpServers": [
    {
      "name": "cocoindex-claude-skill",
      "command": "git",
      "args": [
        "clone",
        "https://github.com/cocoindex-io/cocoindex-claude",
        "~/.claude/skills/cocoindex-claude"
      ]
    }
  ]
}

Continue использует массив объектов серверов, а не map.

~/.config/zed/settings.json

{
  "context_servers": {
    "cocoindex-claude-skill": {
      "command": {
        "path": "git",
        "args": [
          "clone",
          "https://github.com/cocoindex-io/cocoindex-claude",
          "~/.claude/skills/cocoindex-claude"
        ]
      }
    }
  }
}

Добавьте в context_servers. Zed перезагружается автоматически.

claude mcp add cocoindex-claude-skill -- git clone https://github.com/cocoindex-io/cocoindex-claude ~/.claude/skills/cocoindex-claude

Однострочная команда. Проверить: claude mcp list. Удалить: claude mcp remove.

Сценарии использования

Реальные сценарии: cocoindex-claude

Build your first CocoIndex pipeline from a local folder into a vector DB

👤 Developers evaluating CocoIndex for a RAG use case ⏱ ~30 min intermediate

Когда использовать: You've read the CocoIndex homepage and want Claude to scaffold a working flow instead of copy-pasting tutorials.

Предварительные требования

Skill cloned to ~/.claude/skills/cocoindex-claude — git clone https://github.com/cocoindex-io/cocoindex-claude ~/.claude/skills/cocoindex-claude
cocoindex Python package installed — pip install cocoindex

Поток

Describe the pipeline

Use the cocoindex skill — scaffold a flow that watches ./docs, chunks markdown, embeds with OpenAI, writes to Qdrant.✓ Скопировано

→ Claude generates a flow.py with @cocoindex.flow_def and the right source/transform/export calls
Run and verify

Now show me the exact CLI commands to build, run, and incrementally update this flow.✓ Скопировано

→ cocoindex setup / update / eval commands in the correct order

Итог: A working flow.py plus the commands to run it — no more guessing at the CocoIndex decorator surface.

Подводные камни

Claude invents APIs that don't exist in CocoIndex — Explicitly prompt 'use only APIs documented in the cocoindex skill' — hallucination drops when the skill is in scope

Сочетать с: filesystem

Write a custom CocoIndex transform function

👤 Engineers extending an existing CocoIndex flow ⏱ ~25 min intermediate

Когда использовать: Built-in transforms don't cover your parsing / enrichment step.

Поток

Describe the transform

With the cocoindex skill — write a @cocoindex.op.function that takes a PDF path, extracts tables, returns structured rows.✓ Скопировано

→ Idiomatic function signature with correct typed inputs/outputs
Wire it into the flow

Now plug this into my existing flow at the chunking stage.✓ Скопировано

→ Diff against current flow.py with the new op in place

Итог: A custom transform that obeys CocoIndex's incremental semantics.

Подводные камни

Function returns non-deterministic output, breaking incremental processing — Skill reminds Claude that transforms must be pure — if you hit this, re-read the incremental section

Комбинации

Сочетайте с другими MCP — эффект x10

cocoindex-claude-skill + filesystem

Let Claude actually write the flow.py file to disk, not just print it in chat

Scaffold the CocoIndex flow and save it to ./pipelines/docs_to_qdrant.py.✓ Скопировано

cocoindex-claude-skill + postgres

Pipe CocoIndex output into a Postgres vector store and query it from the same session

Build the flow targeting pgvector, then run a retrieval query against it.✓ Скопировано

Инструменты

Что предоставляет этот MCP

Инструмент	Входные данные	Когда вызывать
scaffold_flow	source type + sink type + transform steps	Starting a new pipeline
write_custom_op	function intent + input/output types	Built-in transforms aren't enough
cli_guidance	task (setup / update / eval / drop)	You're unsure whether to rebuild or incrementally update

Стоимость и лимиты

Во что обходится

Квота API: None
Токенов на вызов: Modest — skill loads reference material only when relevant
Деньги: Free — skills are local files
Совет: CocoIndex itself is free; costs come from your embedding model and vector DB, not this skill.

Безопасность

Права, секреты, радиус поражения

Хранение учётных данных: No credentials — pure prompts

Исходящий трафик: None from the skill itself. Your pipeline calls whichever embedding / DB services you configure.

Устранение неполадок

Частые ошибки и исправления

Skill not invoked when you ask about CocoIndex

Say 'use the cocoindex skill' explicitly, or check it's installed at ~/.claude/skills/cocoindex-claude.

Проверить: ls ~/.claude/skills/cocoindex-claude/SKILL.md

SKILL.md frontmatter wrong

Open the file and verify name / description are populated. Re-clone if partial.

Проверить: head ~/.claude/skills/cocoindex-claude/SKILL.md

Wrong trigger keywords — Claude writes generic Python instead of CocoIndex

Mention CocoIndex explicitly, or say 'scaffold a cocoindex flow_def'.

Альтернативы

cocoindex-claude в сравнении

Альтернатива	Когда использовать	Компромисс
LlamaIndex skills	You want LlamaIndex's retrieval abstractions instead of CocoIndex's transform-centric model	Different mental model — LlamaIndex is retrieval-first, CocoIndex is pipeline-first
Hand-written Python	You need one-off processing and don't want incremental state	No incremental rebuilds, no framework conventions

Ещё

Ресурсы

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