pinecone · catalog manifest
Saved declaration
{
"name": "pinecone",
"source": {
"sha": "c383d38b5cc3c5ec219f2e68026e47ffbf46524a",
"url": "https://github.com/pinecone-io/pinecone-claude-code-plugin.git",
"source": "url"
},
"category": "database",
"homepage": "https://github.com/pinecone-io/pinecone-claude-code-plugin",
"description": "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."
}
pinecone · catalog manifest
Saved declaration
{
"name": "pinecone",
"source": {
"sha": "087a8738f2ed5bfb0bdffbb0166103f27ee26411",
"url": "https://github.com/pinecone-io/pinecone-claude-code-plugin.git",
"source": "url"
},
"category": "database",
"homepage": "https://github.com/pinecone-io/pinecone-claude-code-plugin",
"description": "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."
}
pinecone · catalog manifest
Saved declaration
{
"name": "pinecone",
"author": {
"name": "Pinecone"
},
"version": "1.7.1",
"keywords": [
"pinecone",
"semantic search",
"retrieval",
"vector search",
"vector database",
"retrieval augmented generation",
"rag",
"agentic rag",
"sparse search",
"assistant",
"pinecone assistant",
"rag chatbot",
"full text search",
"bm25",
"hybrid search"
],
"description": "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."
}
Catalog declarations and available plugin.json metadata are saved. Referenced skills and executable source files are not downloaded or tested. Missing components in a manifest do not prove that the plugin has none.
