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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

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价格未确认★ 23 GitHub Stars目录更新于 · 2026年9月13日agent-skill

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Pinecone CLI (`pc`)

Manage Pinecone from the terminal. The CLI is especially valuable for vector operations across all index types — something the MCP currently can't do.

CLI vs MCP

	CLI	MCP
Index types	All (standard, integrated, sparse)	Integrated only
Vector ops (upsert, query, fetch, update, delete)	✅	❌
Text search on integrated indexes	✅	✅
Backups, namespaces, org/project mgmt	✅	❌
CI/CD / scripting	✅	❌

Setup

Install (macOS)

brew tap pinecone-io/tap
brew install pinecone-io/tap/pinecone

Other platforms (Linux, Windows) — download from GitHub Releases.

Authenticate

# Interactive (recommended for local dev)
pc login
pc target -o "my-org" -p "my-project"

# Service account (recommended for CI/CD)
pc auth configure --client-id "$PINECONE_CLIENT_ID" --client-secret "$PINECONE_CLIENT_SECRET"

# API key (quick testing)
pc config set-api-key $PINECONE_API_KEY

Check status: pc auth status · pc target --show

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.

Authenticating the CLI does not set `PINECONE_API_KEY`

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.

Use the CLI to create a key and export it in one step:

KEY=$(pc api-key create --name agent-sdk-key --json | jq -r '.value')
export PINECONE_API_KEY="$KEY"

Without jq: run pc api-key create --name agent-sdk-key --json and copy the "value" field manually.

Common Commands

Task	Command
List indexes	`pc index list`
Create serverless index	`pc index create -n my-index -d 1536 -m cosine -c aws -r us-east-1`
Index stats	`pc index stats -n my-index`
Upload vectors from file	`pc index vector upsert -n my-index --file ./vectors.json`
Query by vector	`pc index vector query -n my-index --vector '[0.1, ...]' -k 10 --include-metadata`
Query by vector ID	`pc index vector query -n my-index --id "doc-123" -k 10`
Fetch vectors by ID	`pc index vector fetch -n my-index --ids '["vec1","vec2"]'`
List vector IDs	`pc index vector list -n my-index`
Delete vectors by filter	`pc index vector delete -n my-index --filter '{"genre":"classical"}'`
List namespaces	`pc index namespace list -n my-index`
Create backup	`pc backup create -i my-index -n "my-backup"`
JSON output (for scripting)	Add `-j` to any command

Interesting Things You Can Do

Query with custom vectors (not just text)

Unlike the MCP, the CLI lets you query any index with raw vector values — useful when you generate embeddings externally (OpenAI, HuggingFace, etc.):

pc index vector query -n my-index \
  --vector '[0.1, 0.2, ..., 0.9]' \
  --filter '{"source":{"$eq":"docs"}}' \
  -k 20 --include-metadata

Pipe embeddings directly into queries

jq -c '.embedding' doc.json | pc index vector query -n my-index --vector - -k 10

Bulk metadata update with preview

# Preview first
pc index vector update -n my-index \
  --filter '{"env":{"$eq":"staging"}}' \
  --metadata '{"env":"production"}' \
  --dry-run

# Apply
pc index vector update -n my-index \
  --filter '{"env":{"$eq":"staging"}}' \
  --metadata '{"env":"production"}'

Backup and restore

# Snapshot before a migration
pc backup create -i my-index -n "pre-migration"

# Restore to a new index if something goes wrong
pc backup restore -i <backup-uuid> -n my-index-restored

Automate in CI/CD

export PINECONE_CLIENT_ID="..."
export PINECONE_CLIENT_SECRET="..."
pc auth configure --client-id "$PINECONE_CLIENT_ID" --client-secret "$PINECONE_CLIENT_SECRET"
pc index vector upsert -n my-index --file ./vectors.jsonl --batch-size 1000

Script against JSON output

# Get all index names as a list
pc index list -j | jq -r '.[] | .name'

# Check if an index exists before creating
if ! pc index describe -n my-index -j 2>/dev/null | jq -e '.name' > /dev/null; then
  pc index create -n my-index -d 1536 -m cosine -c aws -r us-east-1
fi

Reference Files

Full command reference — all commands with flags and examples
Troubleshooting & best practices

Documentation

查看来源 ↗

文件元数据

name: cli
description: 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, backups, namespaces, CI/CD automation, and full control over Pinecone resources.

查看原始文本

---
name: cli
description: 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, backups, namespaces, CI/CD automation, and full control over Pinecone resources.
---

# Pinecone CLI (`pc`)

Manage Pinecone from the terminal. The CLI is especially valuable for vector operations across **all index types** — something the MCP currently can't do.

## CLI vs MCP

| | CLI | MCP |
|---|---|---|
| Index types | All (standard, integrated, sparse) | Integrated only |
| Vector ops (upsert, query, fetch, update, delete) | ✅ | ❌ |
| Text search on integrated indexes | ✅ | ✅ |
| Backups, namespaces, org/project mgmt | ✅ | ❌ |
| CI/CD / scripting | ✅ | ❌ |

---

## Setup

### Install (macOS)
```bash
brew tap pinecone-io/tap
brew install pinecone-io/tap/pinecone
```

Other platforms (Linux, Windows) — download from [GitHub Releases](https://github.com/pinecone-io/cli/releases).

### Authenticate

```bash
# Interactive (recommended for local dev)
pc login
pc target -o "my-org" -p "my-project"

# Service account (recommended for CI/CD)
pc auth configure --client-id "$PINECONE_CLIENT_ID" --client-secret "$PINECONE_CLIENT_SECRET"

# API key (quick testing)
pc config set-api-key $PINECONE_API_KEY
```

Check status: `pc auth status` · `pc target --show`

> **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.

### Authenticating the CLI does not set `PINECONE_API_KEY`

`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.

Use the CLI to create a key and export it in one step:

```bash
KEY=$(pc api-key create --name agent-sdk-key --json | jq -r '.value')
export PINECONE_API_KEY="$KEY"
```

Without `jq`: run `pc api-key create --name agent-sdk-key --json` and copy the `"value"` field manually.

---

## Common Commands

| Task | Command |
|---|---|
| List indexes | `pc index list` |
| Create serverless index | `pc index create -n my-index -d 1536 -m cosine -c aws -r us-east-1` |
| Index stats | `pc index stats -n my-index` |
| Upload vectors from file | `pc index vector upsert -n my-index --file ./vectors.json` |
| Query by vector | `pc index vector query -n my-index --vector '[0.1, ...]' -k 10 --include-metadata` |
| Query by vector ID | `pc index vector query -n my-index --id "doc-123" -k 10` |
| Fetch vectors by ID | `pc index vector fetch -n my-index --ids '["vec1","vec2"]'` |
| List vector IDs | `pc index vector list -n my-index` |
| Delete vectors by filter | `pc index vector delete -n my-index --filter '{"genre":"classical"}'` |
| List namespaces | `pc index namespace list -n my-index` |
| Create backup | `pc backup create -i my-index -n "my-backup"` |
| JSON output (for scripting) | Add `-j` to any command |

---

## Interesting Things You Can Do

### Query with custom vectors (not just text)
Unlike the MCP, the CLI lets you query any index with raw vector values — useful when you generate embeddings externally (OpenAI, HuggingFace, etc.):
```bash
pc index vector query -n my-index \
  --vector '[0.1, 0.2, ..., 0.9]' \
  --filter '{"source":{"$eq":"docs"}}' \
  -k 20 --include-metadata
```

### Pipe embeddings directly into queries
```bash
jq -c '.embedding' doc.json | pc index vector query -n my-index --vector - -k 10
```

### Bulk metadata update with preview
```bash
# Preview first
pc index vector update -n my-index \
  --filter '{"env":{"$eq":"staging"}}' \
  --metadata '{"env":"production"}' \
  --dry-run

# Apply
pc index vector update -n my-index \
  --filter '{"env":{"$eq":"staging"}}' \
  --metadata '{"env":"production"}'
```

### Backup and restore
```bash
# Snapshot before a migration
pc backup create -i my-index -n "pre-migration"

# Restore to a new index if something goes wrong
pc backup restore -i <backup-uuid> -n my-index-restored
```

### Automate in CI/CD
```bash
export PINECONE_CLIENT_ID="..."
export PINECONE_CLIENT_SECRET="..."
pc auth configure --client-id "$PINECONE_CLIENT_ID" --client-secret "$PINECONE_CLIENT_SECRET"
pc index vector upsert -n my-index --file ./vectors.jsonl --batch-size 1000
```

### Script against JSON output
```bash
# Get all index names as a list
pc index list -j | jq -r '.[] | .name'

# Check if an index exists before creating
if ! pc index describe -n my-index -j 2>/dev/null | jq -e '.name' > /dev/null; then
  pc index create -n my-index -d 1536 -m cosine -c aws -r us-east-1
fi
```

---

## Reference Files

- [Full command reference](references/command-reference.md) — all commands with flags and examples
- [Troubleshooting & best practices](references/troubleshooting.md)

## Documentation

- [CLI Quickstart](https://docs.pinecone.io/reference/cli/quickstart)
- [Command Reference](https://docs.pinecone.io/reference/cli/command-reference)
- [Authentication](https://docs.pinecone.io/reference/cli/authentication)
- [Target Context](https://docs.pinecone.io/reference/cli/target-context)
- [GitHub Releases](https://github.com/pinecone-io/cli/releases)

查看并核实来源

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获取 Skill: 价格未确认
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许可证: MIT
价格未确认: 我们尚未确认此 Skill 的价格，现有来源与安装入口仍可使用。

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已记录技能指令路径，不代表本站运行测试、安全保证或兼容性认证。

安装前审查: 避免自动安装

许可证: MIT

Dependency or permission surface needs review
Permission surface may require sandboxing
Low GitHub adoption signal
缺少 AI 审查批准
Quality score needs review
Permission surface needs review: secrets or environment access, shell or command execution
GitHub adoption: 23 GitHub stars
Stars/forks activity: 23 stars, 2 forks; issue activity unavailable in current metadata
Dependency/runtime risk: command execution surface, credential or environment access
Permission surface: secrets or environment access, shell or command execution
Review status: AI review approval is missing

打开完整审计

工具列表来自元数据，并非已测试的兼容性；Agent 提示词是建议的交接方式。

从一个小任务开始

1阅读来源，确认输入、预期输出、依赖和权限。
2先让 Agent 提出计划，批准环境配置和费用，再进行隔离的小规模测试。
3检查输出和变更文件，只报告实际执行结果，并保留来源版本以便复现。

请在来源中核实依赖、API 密钥及第三方费用。公开仓库不代表所有服务免费。

来源与使用须知

已收录静态检查通过

仓库元数据和审核信号仅供参考。受欢迎、已发现来源、成功运行是不同的事实。

来源仓库: pinecone-io/gemini-cli-extension
许可证: MIT
版本: Unknown
最近 GitHub 推送: 2026年8月14日
目录更新于: 2026年9月13日
技能指令路径: skills/cli/SKILL.md @ de6792954ae2

版本来自目录元数据，使用前请核实来源发布记录。

质量

52/100

需审查

信任

55/100

Do not auto-install

审计

67/100

需审查

打开完整审计查看评估报告

Dependency or permission surface needs review
Permission surface may require sandboxing
Low GitHub adoption signal
缺少 AI 审查批准
Quality score needs review
Permission surface needs review: secrets or environment access, shell or command execution
GitHub adoption: 23 GitHub stars
Stars/forks activity: 23 stars, 2 forks; issue activity unavailable in current metadata
Dependency/runtime risk: command execution surface, credential or environment access
Permission surface: secrets or environment access, shell or command execution
Review status: AI review approval is missing

Verified installs: —
结果: —

复制不等于安装。安装数需有成功安装回报，不代表全面的质量保证。

Agent 接入

本页通过 Registry API 提供相同的决策、信任、审计、场景和安装信号，让 Agent 无需抓取界面即可排序。

打开安装 API LLM 文本格式打开 Manifest 自动解析计划

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    "label": "Blocked for auto-install",
    "auto_install_policy": "block",
    "auto_install_allowed": false,
    "human_review_required": true,
    "blocked": true,
    "recommended_action": "Do not auto-install. Inspect the source, dependencies, and permission surface first."
  },
  "quality": {
    "score": 52,
    "label": "Needs review"
  },
  "supply": {
    "track": "Research and knowledge work",
    "scenario": "RAG and knowledge",
    "maintenance": "2mo since push",
    "risk": "Needs review"
  },
  "alternative_skills": [],
  "do_not_use_when": [
    "teams that need a vendor-supported SLA",
    "production agents without a repository review",
    "Low GitHub adoption signal",
    "High-risk permission hints: Shell or command execution, Secrets or environment access",
    "Dependency or permission surface needs review",
    "Permission surface may require sandboxing",
    "AI review approval is missing",
    "Quality score needs review"
  ],
  "agent_contract": {
    "task_input": "Use cli in an agent workflow",
    "recommended_action": "Do not auto-install. Inspect the source, dependencies, and permission surface first.",
    "install_policy": "block",
    "minimum_review_before_use": [
      "Trust: 63/100 Manual review",
      "Audit: 67/100 Needs review",
      "Safety: 19/100 Avoid automatic install",
      "Review repository, license, install command, and permission surface before production use."
    ],
    "expected_agent_output": {
      "selected_skill": "pinecone-io-cli (cli)",
      "install_command": "npx skills add pinecone-io/gemini-cli-extension --skill cli",
      "risk_summary": "Needs review; Blocked for auto-install; Review before production",
      "verification_result": "Report the smallest successful task, files touched, warnings, and any missing setup."
    }
  },
  "outcome_feedback": {
    "endpoint": "https://www.openagentskill.com/api/agent/outcome",
    "method": "POST",
    "requires_resolve_event_id": true,
    "event_id_source": "Use install_receipt.outcome_feedback.event_id or feedback.event_id returned by /api/agent/resolve for the current task.",
    "expected_outcomes": [
      "success",
      "failed",
      "not_relevant",
      "blocked_by_risk",
      "setup_required"
    ],
    "payload_template": {
      "event_id": "<install_receipt.outcome_feedback.event_id or feedback.event_id from /api/agent/resolve>",
      "skill_slug": "pinecone-io-cli",
      "task": "Use cli in an agent workflow",
      "agent": "codex",
      "outcome": "success",
      "install_used": true,
      "risk_blocked": false,
      "setup_required": false,
      "task_success": true,
      "output_quality": 4,
      "error_type": null,
      "human_review_required": false,
      "workspace": "sandbox",
      "time_to_useful_ms": 120000,
      "notes": "Report the smallest successful task, setup friction, files touched, and risk notes."
    }
  },
  "endpoints": {
    "web": "https://www.openagentskill.com/skills/pinecone-io-cli",
    "api": "https://www.openagentskill.com/api/agent/skills/pinecone-io-cli",
    "audit": "https://www.openagentskill.com/skills/pinecone-io-cli/audit",
    "eval": "https://www.openagentskill.com/api/agent/evals?slug=pinecone-io-cli&task=Use%20cli%20in%20an%20agent%20workflow&max_risk=medium",
    "resolve": "https://www.openagentskill.com/api/agent/resolve?task=Use%20cli%20in%20an%20agent%20workflow&agent=codex&max_risk=medium",
    "receipt": "https://www.openagentskill.com/api/agent/receipt?task=Use%20cli%20in%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text",
    "install": "https://www.openagentskill.com/api/skills/pinecone-io-cli/install",
    "manifest": "https://www.openagentskill.com/api/registry/manifest/pinecone-io-cli"
  }
}

创作者工具

收录来源

Registry 收录

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此列表来自公开来源，维护者认领获批前不会标记为官方。

创作者: pinecone-io
来源: pinecone-io/gemini-cli-extension
收录方: OpenAgentSkill 社区索引

归属链接指向公开仓库或创作者主页。创作者可认领列表以更新所有权信号。

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这条 Registry 收录列表归属于 pinecone-io，但尚未标记为官方。认领后可增加已验证所有者信号，使后续发布、安装和审计更新更值得信赖。

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概览

Pinecone CLI (pc)