pinecone:query
SkillQuery 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
Install
git clone https://github.com/pinecone-io/pinecone-claude-code-plugin.git ~/.claude/skills/pinecone-queryWhat is 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 CLI skill instead. Requires PINECONE_API_KEY environment variable and Pinecone MCP server to be configured.
What this can do
Capabilities declared in this component's own frontmatter — not inferred.
Run shell commands
Declares Bash
~90 tokens of context used while enabled, before you invoke anything
All declared tools (2)
BashReadDocumentation
README · ~3 min readPinecone Query Skill
Search for records in Pinecone integrated indexes using natural language text queries via the Pinecone MCP server.
What is this skill for?
This skill provides a simple way to query integrated indexes (indexes with built-in Pinecone embedding models) using text queries. The MCP server automatically converts your text into embeddings and searches the index.
Prerequisites
Required:
- ✅ Pinecone MCP server must be configured - Check if MCP tools are available
- ✅ PINECONE_API_KEY environment variable must be set - Get a free API key at https://app.pinecone.io/?sessionType=signup
- ✅ Index must be an integrated index - Uses Pinecone embedding models (e.g., multilingual-e5-large, llama-text-embed-v2, pinecone-sparse-english-v0)
When NOT to use this skill
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