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pinecone

Plugin

Pinecone vector database integration. Streamline your Pinecone development with powerful tools for managing vector indexes, querying data, and rapid prototyping. Use slash commands like /quickstart to generate AGENTS.md files and initialize Python projects and /query to quickly explore indexes. Acce

68Databases

Install

claude plugin install pinecone@claude-plugins-official

What is pinecone?

Pinecone vector database integration. Streamline your Pinecone development with powerful tools for managing vector indexes, querying data, and rapid prototyping. Use slash commands like /quickstart to generate AGENTS.md files and initialize Python projects and /query to quickly explore indexes. Access the Pinecone MCP server for creating, describing, upserting and querying indexes with Claude. Perfect for developers building semantic search, RAG applications, recommendation systems, and other vector-based applications with Pinecone.

What's inside

12 bundled components — installing the plugin installs all of them.

Skills (9)

pinecone:assistant

shell

Create, manage, and chat with Pinecone Assistants for document Q&A with citations. Handles all assistant operations - create, upload, sync, chat, context retrieval, and list. Recognizes natural language like "create an assistant from my docs", "ask my assistant about X", or "upload my docs to Pineco

pinecone:cli

shell

Guide for using the Pinecone CLI (pc) to manage Pinecone resources from the terminal. The CLI supports ALL index types (standard, integrated, sparse) and all vector operations — unlike the MCP which only supports integrated indexes. Use for batch operations, vector management, backups, namespaces, C

pinecone:docs

network

Curated documentation reference for developers building with Pinecone. Contains links to official docs organized by topic and data format references. Use when writing Pinecone code, looking up API parameters, or needing the correct format for vectors or records.

pinecone:full-text-search

shell

Create, ingest into, and query a Pinecone full-text-search (FTS) index using the preview API (2026-01.alpha, public preview). Use when the user or agent asks to build a text search index on Pinecone, add dense or sparse vector fields, ingest documents, construct score_by clauses (text / query_string

pinecone:help

shell

Overview of all available Pinecone skills and what a user needs to get started. Invoke when a user asks what skills are available, how to get started with Pinecone, or what they need to set up before using any Pinecone skill.

pinecone:mcp

Reference for the Pinecone MCP server tools. Documents all available tools - list-indexes, describe-index, describe-index-stats, create-index-for-model, upsert-records, search-records, cascading-search, and rerank-documents. Use when an agent needs to understand what Pinecone MCP tools are available

pinecone:n8n

writes files

Build n8n workflows using the Pinecone Assistant node or Pinecone Vector Store node. Use when building RAG pipelines, chat-with-docs workflows, configuring Pinecone nodes in n8n, troubleshooting Pinecone n8n nodes, or asking about best practices for Pinecone in n8n.

pinecone:query

shell

Query integrated indexes using text with Pinecone MCP. IMPORTANT - This skill ONLY works with integrated indexes (indexes with built-in Pinecone embedding models like multilingual-e5-large). For standard indexes or advanced vector operations, use the CLI skill instead. Requires PINECONE_API_KEY envi

pinecone:quickstart

shell

Interactive Pinecone quickstart for new developers. Choose between two paths - Database (create an integrated index, upsert data, and query using Pinecone MCP + Python) or Assistant (create a Pinecone Assistant for document Q&A). Use when a user wants to get started with Pinecone for the first time

What this can do

Capabilities declared by the plugin's own components — read straight from their frontmatter, not inferred.

Run shell commands

7 components declare Bash

Create and modify files

1 component declare Write or Edit

Access the network

1 component declare WebFetch or WebSearch

~825 tokens of context used while enabled, before you invoke anything

All declared tools (6)
BashBashOutputReadSkillWebFetchWrite

Trust

83/100 · Excellent

2 factors scored below maximum

Runs shell commands

Documentation

README · ~4 min read

Pinecone Plugin for Claude Code

A lightweight plugin that integrates Pinecone vector database capabilities directly into Claude Code, enabling semantic search, index management, and RAG (Retrieval Augmented Generation) workflows.

Features

  • Pinecone Assistant – Fully managed RAG service for document Q&A with citations, natural language support, and incremental file syncing
  • Pinecone MCP Server – Full integration with the Pinecone Model Context Protocol server for index creation, listing, searching, and more
  • Slash Commands – Quick access to common Pinecone operations directly from Claude Code
  • Semantic Search – Query your vector indexes using natural language
  • Natural Language Recognition – Assistant commands work without explicit slash commands

Installation

Option A: Claude Code Plugins Directory (Recommended)

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