claude

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 learn Pinecone 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.

68 on GitHubby Pineconev1.8.0MITupdated today
/

Plugin pinecone from marketplace pinecone-plugins in pinecone-io/pinecone-claude-code-plugin. Commands read from the repo's manifest — today.

This plugin runs code on your machine — its hooks fire automatically on events like tool use and it starts local MCP servers. The exact commands are listed below; read them before installing.

What it installs

Skills (9)

  • pinecone:assistant

    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

    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

    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

    Create, ingest into, and query a Pinecone full-text-search (FTS) document index using the graduated document-schema API (Python SDK 10.1.0+, API version 2026-07). Use when the user or agent asks to build a text search index on Pinecone, have Pinecone embed a text field (integrated embedding), add de

  • pinecone:help

    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

    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

    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 pinecone:cli skill instead. Requires PINECONE_API

  • pinecone:quickstart

    Interactive Pinecone quickstart for new developers. Choose between two paths - Database (create a document index with integrated embedding, upsert sample documents, and search them by meaning and by exact terms, using the Pinecone MCP or bundled Python scripts) or Assistant (create a Pinecone Assist

Slash commands (1)

  • /pinecone:join-discord

    Opens a link to join the Pinecone Discord, allowing users to learn from each other, contact the Pinecone team, and get help in our dedicated help channel.

MCP servers (1)

  • pinecone

    runs: npx -y @pinecone-database/mcp

Hooks (2)

  • SessionStart

    ${CLAUDE_PLUGIN_ROOT}/hooks/pinecone-api-key-check.sh

  • SessionStart

    ${CLAUDE_PLUGIN_ROOT}/hooks/pinecone-api-key-check.sh

View source on GitHub

Similar plugins

Self-learning vector database — HNSW, FlashAttention-3, Graph RAG, hybrid search, DiskANN, and Brain AGI

4 skills · 1 command · 1 agent

ruvnet/ruflo 81,589

Query Trackio projects, runs, and metrics using the `trackio` CLI. Use when the user needs to list projects/runs/metrics, get summaries, or retrieve metric values from local Trackio databases. Supports both human-readable and JSON output formats. Covers project discovery, run inspection, metric querying, and system metrics. Designed for LLM agents and automation scripts.

1 skill

sickn33/agentic-awesome-skills 49,620

Agent skills for Azure SQL Developer, the Azure SQL Database engine running locally in a container. Teaches your agent to run the engine, connect, migrate, scaffold, build RAG, wire CI, and go local-to-cloud, using the real Private Preview image instead of the SQL Server image.

17 skills

anthropics/claude-plugins-official 47,076

LLM application development with LangGraph, RAG systems, vector search, and AI agent architectures for Claude 4.6 and GPT-5.4

8 skills · 3 commands · 3 agents

wshobson/agents 42,461

Long-term semantic memory for Claude Code, powered by OpenViking

5 skills · 1 command · 1 MCP server · hooks

volcengine/OpenViking 42,126

Zoom

claude

Plan, build, and debug Zoom integrations across REST APIs, Meeting SDK, Video SDK, webhooks, bots, and MCP workflows. Search meetings, retrieve recordings, access transcripts, and design AI-powered Zoom experiences.

44 skills · 3 MCP servers

anthropics/knowledge-work-plugins 35,601

Maintain pinecone?

This page updates itself from your repo. Add the badge to your README, or get it Featured to pin it above the organic results with a followed link to your site.

claude & codex pluginslisted