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Requires PINECONE_API_KEY environment variable and Pinecone MCP server to be configured.",{"slug":9,"name":10,"logoUrl":11,"githubOrg":12},"pinecone","Pinecone","https:\u002F\u002Fpexgzepcugksgbtrxkhf.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Forg-logos\u002Fpinecone.png","pinecone-io",[14,18,21,24],{"name":15,"slug":16,"type":17},"Database","database","tag",{"name":19,"slug":20,"type":17},"MCP","mcp",{"name":22,"slug":23,"type":17},"Search","search",{"name":10,"slug":9,"type":17},67,"https:\u002F\u002Fgithub.com\u002Fpinecone-io\u002Fpinecone-claude-code-plugin","2026-07-13T06:02:14.255922",null,12,[31,32,33,34,35,20,9,36,37,38,39],"anthropic-claude","claude-code","claude-code-plugin","claude-code-plugin-marketplace","hybrid-search","retrieval-augmented-generation","semantic-search","skills","vector-database",{"repoUrl":26,"stars":25,"forks":29,"topics":41,"description":42},[31,32,33,34,35,20,9,36,37,38,39],"The official Pinecone marketplace for Claude Code Plugins","https:\u002F\u002Fgithub.com\u002Fpinecone-io\u002Fpinecone-claude-code-plugin\u002Ftree\u002FHEAD\u002Fskills\u002Fquery","---\nname: pinecone:query\ndescription: 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.\nargument-hint: query [q] index [indexName] namespace [ns] topK [k] reranker [rerankModel]\nallowed-tools: Bash, Read\n---\n\n# Pinecone Query Skill\n\nSearch for records in Pinecone integrated indexes using natural language text queries via the Pinecone MCP server.\n\n## What is this skill for?\n\nThis 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.\n\n### Prerequisites\n\n**Required:**\n1. ✅ **Pinecone MCP server must be configured** - Check if MCP tools are available\n2. ✅ **PINECONE_API_KEY environment variable must be set** - Get a free API key at https:\u002F\u002Fapp.pinecone.io\u002F?sessionType=signup\n3. ✅ **Index must be an integrated index** - Uses Pinecone embedding models (e.g., multilingual-e5-large, llama-text-embed-v2, pinecone-sparse-english-v0)\n\n### When NOT to use this skill\n\n**Use the CLI skill instead if:**\n- ❌ Your index is a standard index (no integrated embedding model)\n- ❌ You need to query with custom vector values (not text)\n- ❌ You need advanced vector operations (fetch by ID, list vectors, bulk operations)\n- ❌ Your index uses third-party embedding models (OpenAI, HuggingFace, Cohere)\n\n**MCP Limitation**: The Pinecone MCP currently only supports integrated indexes. For all other use cases, use the Pinecone CLI skill.\n\n## How it works\n\nUtilize Pinecone MCP's `search-records` tool to search for records within a specified Pinecone integrated index using a text query.\n\n## Workflow\n\n**IMPORTANT: Before proceeding, verify the Pinecone MCP tools are available.** If MCP tools are not accessible:\n- Inform the user that the Pinecone MCP server needs to be configured\n- Check if `PINECONE_API_KEY` environment variable is set\n- Direct them to the MCP setup documentation or the `pinecone:help` skill\n\n1. Parse the user's input for:\n   - `query` (required): The text to search for.\n   - `index` (required): The name of the Pinecone index to search.\n   - `namespace` (optional): The namespace within the index.\n   - `reranker` (optional): The reranking model to use for improved relevance.\n\n2. If the user omits required arguments:\n   - If only the index name is provided, use the `describe-index` tool to retrieve available namespaces and use AskUserQuestion to let the user choose.\n   - If only a query is provided, use `list-indexes` to get available indexes, use AskUserQuestion for the user to pick one, then use `describe-index` for namespaces if needed.\n\n3. Call the `search-records` tool with the gathered arguments to perform the search.\n\n4. Format and display the returned results in a clear, readable table including field highlights (such as ID, score, and relevant metadata).\n\n---\n\n## Troubleshooting\n\n**`PINECONE_API_KEY` is required.** Get a free key at https:\u002F\u002Fapp.pinecone.io\u002F?sessionType=signup\n\nIf you get an access error, the key is likely missing. Ask the user to set it:\n```bash\nexport PINECONE_API_KEY=\"your-key\"\n```\n\n**IMPORTANT** At the moment, the \u002Fquery command can only be used with integrated indexes, which use hosted Pinecone embedding models to embed and search for data.\nIf a user attempts to query an index that uses a third party API model such as OpenAI, or HuggingFace embedding models, remind them that this capability is not available yet\nwith the Pinecone MCP server.\n\n- If required arguments are missing, prompt the user to supply them, using Pinecone MCP tools as needed (e.g., `list-indexes`, `describe-index`).\n- Guide the user interactively through argument selection until the search can be completed.\n- If an invalid value is provided for any argument (e.g., nonexistent index or namespace), surface the error and suggest valid options.\n\n## Tools Reference\n\n- `search-records`: Search records in a given index with optional metadata filtering and reranking.\n- `list-indexes`: List all available Pinecone indexes.\n- `describe-index`: Get index configuration and namespaces.\n- `describe-index-stats`: Get stats including record counts and namespaces.\n- `rerank-documents`: Rerank returned documents using a specified reranking model.\n- Use AskUserQuestion to clarify missing information when needed.\n\n---\n",{"data":46,"body":49},{"name":5,"description":7,"argument-hint":47,"allowed-tools":48},"query [q] index [indexName] namespace [ns] topK [k] reranker [rerankModel]","Bash, Read",{"type":50,"children":51},"root",[52,61,67,74,87,94,102,149,155,163,187,197,203,217,223,233,267,380,384,390,410,415,466,476,508,514,574,577],{"type":53,"tag":54,"props":55,"children":57},"element","h1",{"id":56},"pinecone-query-skill",[58],{"type":59,"value":60},"text","Pinecone Query Skill",{"type":53,"tag":62,"props":63,"children":64},"p",{},[65],{"type":59,"value":66},"Search for records in Pinecone integrated indexes using natural language text queries via the Pinecone MCP server.",{"type":53,"tag":68,"props":69,"children":71},"h2",{"id":70},"what-is-this-skill-for",[72],{"type":59,"value":73},"What is this skill for?",{"type":53,"tag":62,"props":75,"children":76},{},[77,79,85],{"type":59,"value":78},"This skill provides a simple way to query ",{"type":53,"tag":80,"props":81,"children":82},"strong",{},[83],{"type":59,"value":84},"integrated indexes",{"type":59,"value":86}," (indexes with built-in Pinecone embedding models) using text queries. 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Use when writing Pinecone code, looking up API parameters, or needing the correct format for vectors or records.",{"slug":9,"name":10,"logoUrl":11,"githubOrg":12},[621,624,625,628],{"name":622,"slug":623,"type":17},"Documentation","documentation",{"name":10,"slug":9,"type":17},{"name":626,"slug":627,"type":17},"Reference","reference",{"name":22,"slug":23,"type":17},"2026-07-13T06:02:12.996533",{"slug":631,"name":632,"fn":633,"description":634,"org":635,"tags":636,"stars":25,"repoUrl":26,"updatedAt":640},"pineconefull-text-search","pinecone:full-text-search","build and query Pinecone full-text search indexes","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 \u002F query_string \u002F dense_vector \u002F sparse_vector), or compose with text-match filters ($match_phrase \u002F $match_all \u002F $match_any). Ships `scripts\u002Fingest.py` for safe bulk ingestion (batch_upsert + error inspection + readiness polling); query construction is documented inline in this skill — write `documents.search(...)` calls directly, validated against `pc.preview.indexes.describe(...)` output.",{"slug":9,"name":10,"logoUrl":11,"githubOrg":12},[637,638,639],{"name":15,"slug":16,"type":17},{"name":10,"slug":9,"type":17},{"name":22,"slug":23,"type":17},"2026-07-13T06:02:18.270055",{"slug":642,"name":264,"fn":643,"description":644,"org":645,"tags":646,"stars":25,"repoUrl":26,"updatedAt":650},"pineconehelp","provide Pinecone skill guidance","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.",{"slug":9,"name":10,"logoUrl":11,"githubOrg":12},[647,648,649],{"name":622,"slug":623,"type":17},{"name":10,"slug":9,"type":17},{"name":626,"slug":627,"type":17},"2026-07-13T06:02:11.702305",{"slug":652,"name":653,"fn":654,"description":655,"org":656,"tags":657,"stars":25,"repoUrl":26,"updatedAt":662},"pineconemcp","pinecone:mcp","use Pinecone MCP server tools","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, how to use them, or what parameters they accept.",{"slug":9,"name":10,"logoUrl":11,"githubOrg":12},[658,659,660,661],{"name":15,"slug":16,"type":17},{"name":19,"slug":20,"type":17},{"name":10,"slug":9,"type":17},{"name":22,"slug":23,"type":17},"2026-07-16T05:59:21.318686",{"slug":664,"name":665,"fn":666,"description":667,"org":668,"tags":669,"stars":25,"repoUrl":26,"updatedAt":679},"pineconen8n","pinecone:n8n","build RAG workflows with Pinecone and 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.",{"slug":9,"name":10,"logoUrl":11,"githubOrg":12},[670,672,673,676],{"name":671,"slug":671,"type":17},"n8n",{"name":10,"slug":9,"type":17},{"name":674,"slug":675,"type":17},"RAG","rag",{"name":677,"slug":678,"type":17},"Workflow Automation","workflow-automation","2026-07-13T06:02:05.735702",{"slug":4,"name":5,"fn":6,"description":7,"org":681,"tags":682,"stars":25,"repoUrl":26,"updatedAt":27},{"slug":9,"name":10,"logoUrl":11,"githubOrg":12},[683,684,685,686],{"name":15,"slug":16,"type":17},{"name":19,"slug":20,"type":17},{"name":10,"slug":9,"type":17},{"name":22,"slug":23,"type":17},{"slug":688,"name":689,"fn":690,"description":691,"org":692,"tags":693,"stars":25,"repoUrl":26,"updatedAt":700},"pineconequickstart","pinecone:quickstart","run interactive Pinecone quickstart for developers","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 or wants a guided tour of Pinecone's tools.",{"slug":9,"name":10,"logoUrl":11,"githubOrg":12},[694,695,696,699],{"name":15,"slug":16,"type":17},{"name":19,"slug":20,"type":17},{"name":697,"slug":698,"type":17},"Onboarding","onboarding",{"name":10,"slug":9,"type":17},"2026-07-13T06:02:16.886569",{"slug":702,"name":702,"fn":588,"description":589,"org":703,"tags":704,"stars":711,"repoUrl":712,"updatedAt":713},"pinecone-assistant",{"slug":9,"name":10,"logoUrl":11,"githubOrg":12},[705,708,709,710],{"name":706,"slug":707,"type":17},"Documents","documents",{"name":596,"slug":597,"type":17},{"name":10,"slug":9,"type":17},{"name":22,"slug":23,"type":17},14,"https:\u002F\u002Fgithub.com\u002Fpinecone-io\u002Fskills","2026-07-13T06:02:40.044479",{"slug":715,"name":715,"fn":604,"description":605,"org":716,"tags":717,"stars":711,"repoUrl":712,"updatedAt":721},"pinecone-cli",{"slug":9,"name":10,"logoUrl":11,"githubOrg":12},[718,719,720],{"name":609,"slug":610,"type":17},{"name":15,"slug":16,"type":17},{"name":10,"slug":9,"type":17},"2026-07-13T06:02:31.804044",{"slug":723,"name":723,"fn":617,"description":618,"org":724,"tags":725,"stars":711,"repoUrl":712,"updatedAt":729},"pinecone-docs",{"slug":9,"name":10,"logoUrl":11,"githubOrg":12},[726,727,728],{"name":622,"slug":623,"type":17},{"name":10,"slug":9,"type":17},{"name":626,"slug":627,"type":17},"2026-07-13T06:02:35.982565",18,{"items":732,"total":779},[733,740,746,753,759,765,772],{"slug":586,"name":587,"fn":588,"description":589,"org":734,"tags":735,"stars":25,"repoUrl":26,"updatedAt":600},{"slug":9,"name":10,"logoUrl":11,"githubOrg":12},[736,737,738,739],{"name":593,"slug":594,"type":17},{"name":596,"slug":597,"type":17},{"name":10,"slug":9,"type":17},{"name":22,"slug":23,"type":17},{"slug":602,"name":603,"fn":604,"description":605,"org":741,"tags":742,"stars":25,"repoUrl":26,"updatedAt":613},{"slug":9,"name":10,"logoUrl":11,"githubOrg":12},[743,744,745],{"name":609,"slug":610,"type":17},{"name":15,"slug":16,"type":17},{"name":10,"slug":9,"type":17},{"slug":615,"name":616,"fn":617,"description":618,"org":747,"tags":748,"stars":25,"repoUrl":26,"updatedAt":629},{"slug":9,"name":10,"logoUrl":11,"githubOrg":12},[749,750,751,752],{"name":622,"slug":623,"type":17},{"name":10,"slug":9,"type":17},{"name":626,"slug":627,"type":17},{"name":22,"slug":23,"type":17},{"slug":631,"name":632,"fn":633,"description":634,"org":754,"tags":755,"stars":25,"repoUrl":26,"updatedAt":640},{"slug":9,"name":10,"logoUrl":11,"githubOrg":12},[756,757,758],{"name":15,"slug":16,"type":17},{"name":10,"slug":9,"type":17},{"name":22,"slug":23,"type":17},{"slug":642,"name":264,"fn":643,"description":644,"org":760,"tags":761,"stars":25,"repoUrl":26,"updatedAt":650},{"slug":9,"name":10,"logoUrl":11,"githubOrg":12},[762,763,764],{"name":622,"slug":623,"type":17},{"name":10,"slug":9,"type":17},{"name":626,"slug":627,"type":17},{"slug":652,"name":653,"fn":654,"description":655,"org":766,"tags":767,"stars":25,"repoUrl":26,"updatedAt":662},{"slug":9,"name":10,"logoUrl":11,"githubOrg":12},[768,769,770,771],{"name":15,"slug":16,"type":17},{"name":19,"slug":20,"type":17},{"name":10,"slug":9,"type":17},{"name":22,"slug":23,"type":17},{"slug":664,"name":665,"fn":666,"description":667,"org":773,"tags":774,"stars":25,"repoUrl":26,"updatedAt":679},{"slug":9,"name":10,"logoUrl":11,"githubOrg":12},[775,776,777,778],{"name":671,"slug":671,"type":17},{"name":10,"slug":9,"type":17},{"name":674,"slug":675,"type":17},{"name":677,"slug":678,"type":17},9]