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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, CI\u002FCD automation, and full control over Pinecone resources.\nargument-hint: install | auth | index [op] | vector [op] | backup | namespace\n---\n\n# Pinecone CLI (`pc`)\n\nManage Pinecone from the terminal. The CLI is especially valuable for vector operations across **all index types** — something the MCP currently can't do.\n\n## CLI vs MCP\n\n| | CLI | MCP |\n|---|---|---|\n| Index types | All (standard, integrated, sparse) | Integrated only |\n| Vector ops (upsert, query, fetch, update, delete) | ✅ | ❌ |\n| Text search on integrated indexes | ✅ | ✅ |\n| Backups, namespaces, org\u002Fproject mgmt | ✅ | ❌ |\n| CI\u002FCD \u002F scripting | ✅ | ❌ |\n\n---\n\n## Setup\n\n### Install (macOS)\n```bash\nbrew tap pinecone-io\u002Ftap\nbrew install pinecone-io\u002Ftap\u002Fpinecone\n```\n\nOther platforms (Linux, Windows) — download from [GitHub Releases](https:\u002F\u002Fgithub.com\u002Fpinecone-io\u002Fcli\u002Freleases).\n\n### Authenticate\n\n```bash\n# Interactive (recommended for local dev)\npc login\npc target -o \"my-org\" -p \"my-project\"\n\n# Service account (recommended for CI\u002FCD)\npc auth configure --client-id \"$PINECONE_CLIENT_ID\" --client-secret \"$PINECONE_CLIENT_SECRET\"\n\n# API key (quick testing)\npc config set-api-key $PINECONE_API_KEY\n```\n\nCheck status: `pc auth status` · `pc target --show`\n\n> **Note for agent sessions**: If you need to run `pc login` inside an agent loop, the browser auth link may not surface correctly. It's best to authenticate **before** starting an agent session. Run `pc login` in your terminal directly, then invoke the agent once you're authenticated.\n\n### Authenticating the CLI does not set `PINECONE_API_KEY`\n\n`pc login` authenticates the CLI tool itself — it does **not** set `PINECONE_API_KEY` in your environment. Python scripts, Node.js SDKs, and other tools that use the Pinecone SDK need `PINECONE_API_KEY` set separately.\n\nUse the CLI to create a key and export it in one step:\n\n```bash\nKEY=$(pc api-key create --name agent-sdk-key --json | jq -r '.value')\nexport PINECONE_API_KEY=\"$KEY\"\n```\n\nWithout `jq`: run `pc api-key create --name agent-sdk-key --json` and copy the `\"value\"` field manually.\n\n---\n\n## Common Commands\n\n| Task | Command |\n|---|---|\n| List indexes | `pc index list` |\n| Create serverless index | `pc index create -n my-index -d 1536 -m cosine -c aws -r us-east-1` |\n| Index stats | `pc index stats -n my-index` |\n| Upload vectors from file | `pc index vector upsert -n my-index --file .\u002Fvectors.json` |\n| Query by vector | `pc index vector query -n my-index --vector '[0.1, ...]' -k 10 --include-metadata` |\n| Query by vector ID | `pc index vector query -n my-index --id \"doc-123\" -k 10` |\n| Fetch vectors by ID | `pc index vector fetch -n my-index --ids '[\"vec1\",\"vec2\"]'` |\n| List vector IDs | `pc index vector list -n my-index` |\n| Delete vectors by filter | `pc index vector delete -n my-index --filter '{\"genre\":\"classical\"}'` |\n| List namespaces | `pc index namespace list -n my-index` |\n| Create backup | `pc backup create -i my-index -n \"my-backup\"` |\n| JSON output (for scripting) | Add `-j` to any command |\n\n---\n\n## Interesting Things You Can Do\n\n### Query with custom vectors (not just text)\nUnlike the MCP, the CLI lets you query any index with raw vector values — useful when you generate embeddings externally (OpenAI, HuggingFace, etc.):\n```bash\npc index vector query -n my-index \\\n  --vector '[0.1, 0.2, ..., 0.9]' \\\n  --filter '{\"source\":{\"$eq\":\"docs\"}}' \\\n  -k 20 --include-metadata\n```\n\n### Pipe embeddings directly into queries\n```bash\njq -c '.embedding' doc.json | pc index vector query -n my-index --vector - -k 10\n```\n\n### Bulk metadata update with preview\n```bash\n# Preview first\npc index vector update -n my-index \\\n  --filter '{\"env\":{\"$eq\":\"staging\"}}' \\\n  --metadata '{\"env\":\"production\"}' \\\n  --dry-run\n\n# Apply\npc index vector update -n my-index \\\n  --filter '{\"env\":{\"$eq\":\"staging\"}}' \\\n  --metadata '{\"env\":\"production\"}'\n```\n\n### Backup and restore\n```bash\n# Snapshot before a migration\npc backup create -i my-index -n \"pre-migration\"\n\n# Restore to a new index if something goes wrong\npc backup restore -i \u003Cbackup-uuid> -n my-index-restored\n```\n\n### Automate in CI\u002FCD\n```bash\nexport PINECONE_CLIENT_ID=\"...\"\nexport PINECONE_CLIENT_SECRET=\"...\"\npc auth configure --client-id \"$PINECONE_CLIENT_ID\" --client-secret \"$PINECONE_CLIENT_SECRET\"\npc index vector upsert -n my-index --file .\u002Fvectors.jsonl --batch-size 1000\n```\n\n### Script against JSON output\n```bash\n# Get all index names as a list\npc index list -j | jq -r '.[] | .name'\n\n# Check if an index exists before creating\nif ! pc index describe -n my-index -j 2>\u002Fdev\u002Fnull | jq -e '.name' > \u002Fdev\u002Fnull; then\n  pc index create -n my-index -d 1536 -m cosine -c aws -r us-east-1\nfi\n```\n\n---\n\n## Reference Files\n\n- [Full command reference](references\u002Fcommand-reference.md) — all commands with flags and examples\n- [Troubleshooting & best practices](references\u002Ftroubleshooting.md)\n\n## Documentation\n\n- [CLI Quickstart](https:\u002F\u002Fdocs.pinecone.io\u002Freference\u002Fcli\u002Fquickstart)\n- [Command Reference](https:\u002F\u002Fdocs.pinecone.io\u002Freference\u002Fcli\u002Fcommand-reference)\n- [Authentication](https:\u002F\u002Fdocs.pinecone.io\u002Freference\u002Fcli\u002Fauthentication)\n- [Target Context](https:\u002F\u002Fdocs.pinecone.io\u002Freference\u002Fcli\u002Ftarget-context)\n- [GitHub Releases](https:\u002F\u002Fgithub.com\u002Fpinecone-io\u002Fcli\u002Freleases)\n",{"data":38,"body":40},{"name":4,"description":6,"argument-hint":39},"install | auth | index [op] | vector [op] | backup | namespace",{"type":41,"children":42},"root",[43,61,75,82,196,200,206,213,264,280,286,481,500,536,548,579,584,700,729,732,738,968,971,977,983,988,1101,1107,1193,1199,1393,1399,1520,1526,1685,1691,1932,1935,1941,1966,1972,2023],{"type":44,"tag":45,"props":46,"children":48},"element","h1",{"id":47},"pinecone-cli-pc",[49,52,59],{"type":50,"value":51},"text","Pinecone CLI (",{"type":44,"tag":53,"props":54,"children":56},"code",{"className":55},[],[57],{"type":50,"value":58},"pc",{"type":50,"value":60},")",{"type":44,"tag":62,"props":63,"children":64},"p",{},[65,67,73],{"type":50,"value":66},"Manage Pinecone from the terminal. 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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":8,"name":9,"logoUrl":10,"githubOrg":11},[2072,2073,2074],{"name":18,"slug":19,"type":16},{"name":9,"slug":8,"type":16},{"name":2045,"slug":2046,"type":16},"2026-07-13T06:02:43.249808",{"slug":2077,"name":2077,"fn":2078,"description":2079,"org":2080,"tags":2081,"stars":21,"repoUrl":22,"updatedAt":2087},"pinecone-help","get started with Pinecone agent skills","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":8,"name":9,"logoUrl":10,"githubOrg":11},[2082,2083,2086],{"name":1971,"slug":1968,"type":16},{"name":2084,"slug":2085,"type":16},"Onboarding","onboarding",{"name":9,"slug":8,"type":16},"2026-07-13T06:02:37.342095",{"slug":2089,"name":2089,"fn":2090,"description":2091,"org":2092,"tags":2093,"stars":21,"repoUrl":22,"updatedAt":2098},"pinecone-mcp","reference 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":8,"name":9,"logoUrl":10,"githubOrg":11},[2094,2095,2097],{"name":1971,"slug":1968,"type":16},{"name":106,"slug":2096,"type":16},"mcp",{"name":9,"slug":8,"type":16},"2026-07-13T06:02:33.158312",{"slug":2100,"name":2100,"fn":2101,"description":2102,"org":2103,"tags":2104,"stars":21,"repoUrl":22,"updatedAt":2114},"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":8,"name":9,"logoUrl":10,"githubOrg":11},[2105,2107,2108,2111],{"name":2106,"slug":2106,"type":16},"n8n",{"name":9,"slug":8,"type":16},{"name":2109,"slug":2110,"type":16},"RAG","rag",{"name":2112,"slug":2113,"type":16},"Workflow Automation","workflow-automation","2026-07-13T06:02:34.599969",{"items":2116,"total":2233},[2117,2131,2140,2150,2159,2169,2180,2190,2202,2214,2221,2227],{"slug":2118,"name":2119,"fn":2033,"description":2034,"org":2120,"tags":2121,"stars":2128,"repoUrl":2129,"updatedAt":2130},"pineconeassistant","pinecone:assistant",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[2122,2125,2126,2127],{"name":2123,"slug":2124,"type":16},"Knowledge Management","knowledge-management",{"name":2041,"slug":2042,"type":16},{"name":9,"slug":8,"type":16},{"name":2045,"slug":2046,"type":16},67,"https:\u002F\u002Fgithub.com\u002Fpinecone-io\u002Fpinecone-claude-code-plugin","2026-07-13T06:02:15.573985",{"slug":2132,"name":2133,"fn":5,"description":6,"org":2134,"tags":2135,"stars":2128,"repoUrl":2129,"updatedAt":2139},"pineconecli","pinecone:cli",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[2136,2137,2138],{"name":14,"slug":15,"type":16},{"name":18,"slug":19,"type":16},{"name":9,"slug":8,"type":16},"2026-07-13T06:02:07.032383",{"slug":2141,"name":2142,"fn":2056,"description":2057,"org":2143,"tags":2144,"stars":2128,"repoUrl":2129,"updatedAt":2149},"pineconedocs","pinecone:docs",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[2145,2146,2147,2148],{"name":1971,"slug":1968,"type":16},{"name":9,"slug":8,"type":16},{"name":2063,"slug":2064,"type":16},{"name":2045,"slug":2046,"type":16},"2026-07-13T06:02:12.996533",{"slug":2151,"name":2152,"fn":2068,"description":2069,"org":2153,"tags":2154,"stars":2128,"repoUrl":2129,"updatedAt":2158},"pineconefull-text-search","pinecone:full-text-search",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[2155,2156,2157],{"name":18,"slug":19,"type":16},{"name":9,"slug":8,"type":16},{"name":2045,"slug":2046,"type":16},"2026-07-13T06:02:18.270055",{"slug":2160,"name":2161,"fn":2162,"description":2079,"org":2163,"tags":2164,"stars":2128,"repoUrl":2129,"updatedAt":2168},"pineconehelp","pinecone:help","provide Pinecone skill guidance",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[2165,2166,2167],{"name":1971,"slug":1968,"type":16},{"name":9,"slug":8,"type":16},{"name":2063,"slug":2064,"type":16},"2026-07-13T06:02:11.702305",{"slug":2170,"name":2171,"fn":2172,"description":2091,"org":2173,"tags":2174,"stars":2128,"repoUrl":2129,"updatedAt":2179},"pineconemcp","pinecone:mcp","use Pinecone MCP server tools",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[2175,2176,2177,2178],{"name":18,"slug":19,"type":16},{"name":106,"slug":2096,"type":16},{"name":9,"slug":8,"type":16},{"name":2045,"slug":2046,"type":16},"2026-07-16T05:59:21.318686",{"slug":2181,"name":2182,"fn":2101,"description":2102,"org":2183,"tags":2184,"stars":2128,"repoUrl":2129,"updatedAt":2189},"pineconen8n","pinecone:n8n",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[2185,2186,2187,2188],{"name":2106,"slug":2106,"type":16},{"name":9,"slug":8,"type":16},{"name":2109,"slug":2110,"type":16},{"name":2112,"slug":2113,"type":16},"2026-07-13T06:02:05.735702",{"slug":2191,"name":2192,"fn":2193,"description":2194,"org":2195,"tags":2196,"stars":2128,"repoUrl":2129,"updatedAt":2201},"pineconequery","pinecone:query","query Pinecone integrated indexes with text","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.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[2197,2198,2199,2200],{"name":18,"slug":19,"type":16},{"name":106,"slug":2096,"type":16},{"name":9,"slug":8,"type":16},{"name":2045,"slug":2046,"type":16},"2026-07-13T06:02:14.255922",{"slug":2203,"name":2204,"fn":2205,"description":2206,"org":2207,"tags":2208,"stars":2128,"repoUrl":2129,"updatedAt":2213},"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":8,"name":9,"logoUrl":10,"githubOrg":11},[2209,2210,2211,2212],{"name":18,"slug":19,"type":16},{"name":106,"slug":2096,"type":16},{"name":2084,"slug":2085,"type":16},{"name":9,"slug":8,"type":16},"2026-07-13T06:02:16.886569",{"slug":2032,"name":2032,"fn":2033,"description":2034,"org":2215,"tags":2216,"stars":21,"repoUrl":22,"updatedAt":2047},{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[2217,2218,2219,2220],{"name":2038,"slug":2039,"type":16},{"name":2041,"slug":2042,"type":16},{"name":9,"slug":8,"type":16},{"name":2045,"slug":2046,"type":16},{"slug":4,"name":4,"fn":5,"description":6,"org":2222,"tags":2223,"stars":21,"repoUrl":22,"updatedAt":23},{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[2224,2225,2226],{"name":14,"slug":15,"type":16},{"name":18,"slug":19,"type":16},{"name":9,"slug":8,"type":16},{"slug":2055,"name":2055,"fn":2056,"description":2057,"org":2228,"tags":2229,"stars":21,"repoUrl":22,"updatedAt":2065},{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[2230,2231,2232],{"name":1971,"slug":1968,"type":16},{"name":9,"slug":8,"type":16},{"name":2063,"slug":2064,"type":16},18]