Pinecone MCP server for AI agents and assistants

Securely connect your AI agents and chatbots (Claude, ChatGPT, Cursor, etc) with Pinecone MCP or direct API to index vectors, run similarity searches, manage namespaces, and retrieve embeddings through natural language.

Pinecone logoPinecone
Api KeyOauth2

Pinecone is a fully managed vector database for high-performance AI memory and search. It lets you scale semantic search and retrieval without infrastructure overhead.

48 Tools

Try Pinecone now

Type what you want done — sign in and watch it run live in the Tool Router playground.

TOOL ROUTER PLAYGROUND
Pinecone
Try asking
TOOLS

Supported Tools

Every Pinecone action and event your agent gets out of the box.

Cancel Bulk Import

Tool to cancel a bulk import operation in Pinecone.

Chat with Assistant

Tool to chat with a Pinecone assistant and get structured responses with citations.

Chat with Assistant

Tool to chat with a Pinecone assistant through an OpenAI-compatible interface.

Configure Index

Tool to configure an existing Pinecone index, including pod type, replicas, deletion protection, and tags.

Create Assistant

Tool to create a new Pinecone assistant for RAG (Retrieval-Augmented Generation) applications.

Create Backup

Tool to create a backup of a Pinecone index for disaster recovery and version control.

Create Index

Tool to create a Pinecone index with specified configuration.

Create Index with Embedding Model

Tool to create a Pinecone index with integrated embedding model for automatic vectorization.

Create Index from Backup

Tool to create an index from a backup.

Create Namespace

Tool to create a namespace within a serverless Pinecone index.

Delete Assistant

Tool to permanently delete a Pinecone assistant.

Delete Backup

Tool to delete a backup.

Delete File

Tool to delete an uploaded file from a Pinecone assistant.

Delete Index

Tool to permanently delete a Pinecone index.

Delete Namespace

Tool to permanently delete a namespace from a serverless index.

Delete Vectors

Tool to delete vectors by ID from a Pinecone index.

Describe Backup

Tool to retrieve detailed information about a specific backup.

Describe Bulk Import

Tool to describe a specific bulk import operation in Pinecone.

Describe File

Tool to get the status and metadata of a file uploaded to a Pinecone assistant.

Describe Index

Tool to retrieve full Pinecone index configuration including host and integrated embedding settings.

Describe Index Stats

Tool to get index statistics including vector count per namespace, dimensions, and fullness.

Describe Namespace

Tool to describe a namespace in a serverless index, including the total number of vectors.

Describe Restore Job

Tool to get detailed information about a specific restore job in Pinecone.

Generate Embeddings

Tool to generate vector embeddings for input text using Pinecone's hosted embedding models.

Fetch Vectors

Tool to fetch vectors by ID from a Pinecone index.

Get Assistant Status

Tool to retrieve the status and details of a Pinecone assistant.

Get Model Information

Tool to retrieve detailed information about a specific model hosted by Pinecone.

List Assistants

Tool to list all assistants in a Pinecone project.

List Bulk Imports

Tool to list all recent and ongoing bulk import operations in Pinecone.

List Collections

Tool to list all collections in a Pinecone project (pod-based indexes only).

List Files

Tool to list all files in a Pinecone assistant with optional metadata filtering.

List Index Backups

Tool to list all backups for a specific Pinecone index.

List Indexes

Tool to list all indexes in a Pinecone project.

List Available Models

Tool to list all available embedding and reranking models hosted by Pinecone.

List Namespaces

Tool to list all namespaces in a serverless Pinecone index.

List Project Backups

Tool to list all backups for indexes in a Pinecone project.

List Restore Jobs

Tool to list all restore jobs for a project with pagination support.

List Vectors

Tool to list vector IDs in a Pinecone serverless index.

Query Vectors

Tool to perform semantic search within a Pinecone index using a query vector.

Rerank Documents

Tool to rerank documents by semantic relevance to a query.

Retrieve Assistant Context

Tool to retrieve context snippets from a Pinecone assistant for RAG or agentic workflows.

Search Records in Namespace

Tool to search records within a Pinecone namespace using text, vector, or ID query.

Start Bulk Import

Tool to start an asynchronous bulk import of vectors from object storage (S3, GCS, or Azure Blob Storage) into a Pinecone index.

Update Assistant

Tool to update an assistant's instructions and configuration in Pinecone.

Update Vector

Tool to update a vector in Pinecone by ID.

Upload File to Assistant

Tool to upload a file to a Pinecone assistant for processing.

Upsert Records to Namespace

Tool to upsert text records into a Pinecone namespace.

Upsert Vectors

Tool to upsert vectors into a Pinecone namespace, overwriting existing vector IDs.

SETUP GUIDE

Connect Pinecone MCP Tool with your Agent

1

Install Composio

typescript
npm install @composio/core ai @ai-sdk/mcp @ai-sdk/openai
Install the Composio SDK and your agent framework
2

Create a session with MCP enabled

typescript
import { Composio } from "@composio/core";

const composio = new Composio();
const { mcp } = await composio.create("your-user-id", {
  toolkits: ["pinecone"],
  mcp: true,
});
Create a session scoped to Pinecone and read its MCP URL and headers
3

Connect your agent to the MCP server

typescript
import { createMCPClient } from "@ai-sdk/mcp";
import { openai } from "@ai-sdk/openai";
import { generateText, stepCountIs } from "ai";

const client = await createMCPClient({
  transport: { type: "http", url: mcp.url, headers: mcp.headers },
});

const { text } = await generateText({
  model: openai("gpt-5.6-sol"),
  tools: await client.tools(),
  prompt: "Query the vector index for documents similar to \"climate change research\".",
  stopWhen: stepCountIs(10),
});

console.log(text);
await client.close();
Pass the session's MCP URL and headers to your agent and run a Pinecone request
SETUP GUIDE

Connect Pinecone API Tool with your Agent

1

Install Composio

typescript
npm install @composio/core @composio/openai openai
Install the Composio SDK, the OpenAI provider, and the OpenAI SDK
2

Create a Composio session

typescript
import OpenAI from "openai";
import { Composio } from "@composio/core";
import { OpenAIResponsesProvider } from "@composio/openai";

const composio = new Composio({ provider: new OpenAIResponsesProvider() });
const client = new OpenAI();

const session = await composio.create("your-user-id", { toolkits: ["pinecone"] });
const tools = await session.tools();
Initialize Composio with the OpenAI Responses provider and create a session scoped to Pinecone
3

Run Pinecone tools with your agent

typescript
let response = await client.responses.create({
  model: "gpt-5.6-sol",
  tools,
  input: [{ role: "user", content: "Query the vector index for documents similar to \"climate change research\"." }],
});

while (response.output.some((o) => o.type === "function_call")) {
  const outputs = await composio.provider.handleToolCalls(session, response.output);
  response = await client.responses.create({
    model: "gpt-5.6-sol",
    tools,
    previous_response_id: response.id,
    input: outputs,
  });
}

console.log(response.output_text);
Send a request, execute the Pinecone tool calls through the session, and print the final answer

Why Use Composio?

AI Native Pinecone Integration

  • Supports both Pinecone MCP and direct API based integrations
  • Structured, LLM-friendly schemas for reliable tool execution
  • Rich coverage for reading, writing, and querying your Pinecone data

Managed Auth

  • Built-in OAuth handling with automatic token refresh and rotation
  • Central place to manage, scope, and revoke Pinecone access
  • Per user and per environment credentials instead of hard-coded keys

Agent Optimized Design

  • Tools are tuned using real error and success rates to improve reliability over time
  • Comprehensive execution logs so you always know what ran, when, and on whose behalf

Enterprise Grade Security

  • Fine-grained RBAC so you control which agents and users can access Pinecone
  • Scoped, least privilege access to Pinecone resources
  • Full audit trail of agent actions to support review and compliance

Rolling this out across your team?

Give your team centralized access control across every framework with Composio’s MCP Gateway.

EXPLORE MCP GATEWAY
FAQ

Frequently asked questions

Pinecone requires connections to go through your own OAuth app. You register it once with Pinecone, add its client ID and secret in the Composio dashboard, and from then on everyone connects by signing in to Pinecone as usual. Composio handles the rest of the flow and the token refresh.

Yes! Composio's Tool Router enables agents to use multiple toolkits. Learn more.

Yes. Composio is SOC 2 Type II compliant and is built to keep your Pinecone connection and credentials secure. OAuth tokens and API keys are encrypted, and sensitive customer data is protected at rest and in transit.

Composio also undergoes independent security testing and continuously monitors its systems for security threats. You can review the latest reports and policies in the Composio Trust Center.

Composio maintains and updates all toolkit integrations automatically, so your agents always work with the latest API versions.

When you connect a Pinecone account through Composio, every action runs under that account, so anything the agent creates, sends, or changes shows up in Pinecone as done by you. Keep an approval step in your prompt for actions with side effects, such as sending or deleting, and have the agent draft first.

Exactly the ones Pinecone lists on its consent screen when you connect. Review that screen before approving. If you connect a work account, your Pinecone administrator may need to approve the app first, and you can revoke the access inside Pinecone whenever you want.

Yes. Composio supports multiple connected accounts for the same app, and that works in Claude, ChatGPT, or any other assistant you connect through Composio. Give each Pinecone connection a name such as work or personal, and the assistant uses the one you mention in the request. Each account keeps its own credentials and nothing is merged.

Composio refreshes Pinecone tokens automatically, so day to day you do nothing. If you revoke access inside Pinecone, or Pinecone invalidates the session, the connection shows as expired in Composio and the agent stops acting on that account until you reconnect it, which is a single sign-in.

Composio's free Hobby plan includes 100,000 tool calls per month with no credit card, which covers most personal Pinecone use. Paid plans add higher limits and team features. Your Pinecone plan and its API limits still apply as usual.

Built-in connectors usually give one AI access to a limited set of apps. Many people use Composio because it lets their AI connect to more apps than it normally supports, or connect to multiple accounts for the same app (e.g. connect Claude to multiple Pinecone accounts).

With Composio, you connect Pinecone once and then use it across different AI assistants without setting it up separately in each one. Connect your apps to Composio once, then connect Composio to whichever AI you use, whether that's Claude, ChatGPT, Hermes, or your own custom assistant.

Start with Pinecone.It takes 30 seconds.

Managed auth, hosted MCP servers, and every Pinecone tool your agent needs.Free to start.

Start building