AI Marketplaces Leaderboard

Pinecone

Cursor plugin

Pinecone vector database integration for Cursor. Create and manage indexes, upsert data, and run semantic searches via the Pinecone MCP ser…

View in Cursor directory
Components
9

bundled in this plugin

Components rank
#103

of 426

Publisher
Verified

verified by Cursor

Movement

From our daily snapshots over the last 30 days.

Rank by join date

#350of 428024h23places down7d
#236#268#300#332Sep 13Sep 19Sep 25Oct 1Oct 7Oct 12

In its category

How this plugin compares with others in the same category. Positions are counted within the category, not across the whole directory.

Infrastructure25th of 46 by join date · 23rd of 46 by component count
Order by

All 46 Infrastructure plugins

Also on other marketplaces

Pinecone vector database integration for Cursor. Create and manage indexes, upsert data, and run semantic searches via the Pinecone MCP server. Build document Q&A assistants with citations, or get started fast with /pinecone-quickstart. Great for semantic search, RAG, and agentic AI apps.

Skills

  • 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 "uplo

  • 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, ba

  • 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) 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

  • 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

  • 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. R

  • pinecone-quickstart

    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

MCP servers

  • pinecone
Categories
Made by
Pinecone · Website
Keywords
pinecone
Created
March 30, 2026
Last release
May 19, 2026
More info