# Pinecone — Pipedream Connect

> Long-term Memory for AI. The Pinecone vector database makes it easy to build high-performance vector search applications. Developer-friendly, fully managed, and easily scalable without infrastructure hassles.

- API slug: `pinecone` (use in MCP headers and tool keys)
- Auth: API key (Pipedream-managed)
- Categories: Artificial Intelligence (AI)
- Website: https://www.pinecone.io/
- This page (HTML): https://pipedream.com/apps/pinecone
- Tools: 6 actions · 0 triggers

## Connect via MCP (recommended)

- Endpoint: `https://remote.mcp.pipedream.net/v3`
- Headers: `Authorization: Bearer <token>` · `x-pd-project-id` · `x-pd-environment` · `x-pd-external-user-id` · `x-pd-app-slug: pinecone`

```ts
import { Client } from "@modelcontextprotocol/sdk/client/index.js"
import { StreamableHTTPClientTransport } from "@modelcontextprotocol/sdk/client/streamableHttp.js"
import { PipedreamClient } from "@pipedream/sdk"

const pd = new PipedreamClient({
  projectId: process.env.PIPEDREAM_PROJECT_ID!,
  clientId: process.env.PIPEDREAM_CLIENT_ID!,
  clientSecret: process.env.PIPEDREAM_CLIENT_SECRET!,
  projectEnvironment: "production",
})

const accessToken = await pd.rawAccessToken

const transport = new StreamableHTTPClientTransport(
  new URL("https://remote.mcp.pipedream.net/v3"),
  {
    requestInit: {
      headers: {
        Authorization: `Bearer ${accessToken}`,
        "x-pd-project-id": process.env.PIPEDREAM_PROJECT_ID!,
        "x-pd-environment": "production",
        "x-pd-external-user-id": "{external_user_id}", // any stable ID for this user in your system
        "x-pd-app-slug": "pinecone",
      },
    },
  },
)

const mcp = new Client({ name: "my-agent", version: "1.0.0" })
await mcp.connect(transport)

const { tools } = await mcp.listTools()

// e.g. run Delete Vectors:
const result = await mcp.callTool({
  name: "pinecone-delete-vectors",
  arguments: {
    indexName: "Index Name",
    prefix: "Prefix",
  },
})
```

Docs: [MCP guide](https://pipedream.com/docs/connect/mcp/developers.md)

## API proxy

For a Pinecone endpoint with no pre-built tool, the proxy forwards your request with the connected user's credentials attached.

```bash
# The path segment is the target URL, URL-safe base64 encoded:
# https://api.pinecone.io/collections

curl "https://api.pipedream.com/v1/connect/{project_id}/proxy/aHR0cHM6Ly9hcGkucGluZWNvbmUuaW8vY29sbGVjdGlvbnM?external_user_id={external_user_id}&account_id=apn_xxxxxxx" \
  -H "Authorization: Bearer {access_token}" \
  -H "x-pd-environment: production"
```

Docs: [API proxy guide](https://pipedream.com/docs/connect/api-proxy.md)

## SDK

```ts
import { PipedreamClient } from "@pipedream/sdk"

const pd = new PipedreamClient({
  projectId: process.env.PIPEDREAM_PROJECT_ID!,
  clientId: process.env.PIPEDREAM_CLIENT_ID!,
  clientSecret: process.env.PIPEDREAM_CLIENT_SECRET!,
  projectEnvironment: "production",
})

const result = await pd.actions.run({
  id: "pinecone-delete-vectors",
  externalUserId: "{external_user_id}", // any stable ID for this user in your system
  configuredProps: {
    pinecone: { authProvisionId: "apn_xxxxxxx" },
    indexName: "Index Name",
    prefix: "Prefix",
  },
})
```

Docs: [Managed auth guide](https://pipedream.com/docs/connect/managed-auth/quickstart.md) · [Tools guide](https://pipedream.com/docs/connect/components.md)

## Actions (6)

### `pinecone-delete-vectors` — Delete Vectors (Write)

Deletes one or more vectors by ID, from a single namespace. See the documentation.

Full schema: https://pipedream.com/apps/pinecone/actions/delete-vectors.md

### `pinecone-fetch-vectors` — Fetch Vectors (Write)

Looks up and returns vectors by ID, from a single namespace.. See the documentation.

Full schema: https://pipedream.com/apps/pinecone/actions/fetch-vectors.md

### `pinecone-list-index-name-options` — List Index Name Options (Read-only)

Retrieves available options for the Index Name field.

Full schema: https://pipedream.com/apps/pinecone/actions/list-index-name-options.md

### `pinecone-query-ids` — Query IDs (Write)

Searches a namespace, using a query vector. It retrieves the ids of the most similar items in a namespace, along with their similarity scores. See the documentation.

Full schema: https://pipedream.com/apps/pinecone/actions/query-ids.md

### `pinecone-update-vector` — Update Vector (Write)

Updates vector in a namespace. If a value is included, it will overwrite the previous value. See the documentation.

Full schema: https://pipedream.com/apps/pinecone/actions/update-vector.md

### `pinecone-upsert-vector` — Upsert Vector (Write)

Writes vectors into a namespace. If a new value is upserted for an existing vector ID, it will overwrite the previous value. See the documentation.

Full schema: https://pipedream.com/apps/pinecone/actions/upsert-vector.md

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- All apps: https://pipedream.com/apps — index: https://pipedream.com/llms.txt
- Pipedream docs for agents: https://pipedream.com/docs/llms.txt