Pinecone MCP for AI Agents

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.

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Pinecone

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.

30 Tools

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TOOL ROUTER PLAYGROUND

Pinecone

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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.

Configure Index

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

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 Index

Tool to permanently delete a Pinecone index.

Delete Namespace

Tool to permanently delete a namespace from a serverless 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 Index Stats

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

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.

Get Model Information

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

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 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.

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 Vector

Tool to update a vector in Pinecone by ID.

Upsert Records to Namespace

Tool to upsert text records into a Pinecone namespace.

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

FRAMEWORKS

Use Pinecone with any AI Agent Framework

Choose a Framework you want to connect Pinecone with

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FAQ

Frequently asked questions

Yes, Pinecone requires you to configure your own API key credentials. Once set up, Composio handles secure credential storage and API request handling for you.

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

Composio is SOC 2 and ISO 27001 compliant with all data encrypted in transit and at rest. Learn more.

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

Start with Pinecone.It takes 30 seconds.

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

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Customer stories

Teams ship real agents on Composio

GET STARTED FOR FREE BOOK A DEMO

Karan skipped his own birthday party to fix our critical issue. It was 10pm and he diverted his Waymo to help us instead. This really sets the bar — it shows the commitment you need when users rely on your software.

Harsha Gaddipati

Co-founder, Slashy

A lot of students tell us that the moment their connected tools start talking to each other inside Opennote feels almost magical. The agent just knows them, and it's immensely helped keep new users on the platform.

Abhi Arya

Co-founder, Opennote

We chose Composio over Pipedream because it delivered depth where it mattered — niche tools and tricky edge cases other platforms simply ignored. That gave us confidence to scale without compromising.

Nirman Dave

CEO, Zams

As a solo builder, shipping fast is life or death. The only way I can outcompete incumbents is by outmanoeuvring them. Getting bogged down managing agent auth would have been a death sentence.

Ryan Yu

Founder, Extra Thursday

Before Composio, adding tool integrations was slow and resource-intensive. Each one could take weeks of engineering time, and maintaining them meant constantly keeping up with API changes.

Tomisin Jenrola

Founder & CEO, SwarmZero

With hands-on help from their founder, we integrated Gmail and Google Drive in just 30 minutes. This level of personal support and commitment is exactly what startups should strive for.

Jerome Leclanche

Co-Founder, Ingram Technologies

Pinecone MCP for AI Agents

Try Pinecone now

Supported Tools

Connect Pinecone MCP Tool with your Agent

Install Composio

Create a session with MCP enabled

Connect your agent to the MCP server

Connect Pinecone API Tool with your Agent

Install Composio

Create a Composio session

Run Pinecone tools with your agent

Why Use Composio?

AI Native Pinecone Integration

Managed Auth

Agent Optimized Design

Enterprise Grade Security

Use Pinecone with any AI Agent Framework

ChatGPT

OpenAI Agents SDK

Claude Agents SDK

Claude Code

Claude Cowork

Codex

Cursor

VS Code

OpenCode

OpenClaw

Hermes

CLI

Google ADK

Langchain

AI SDK

Mastra AI

LlamaIndex

CrewAI

Pydantic AI

Autogen

Explore Other Toolkits

Excel

1password

Adafruit IO

Agenty

Frequently asked questions

Do I need my own developer credentials to use Pinecone with Composio?+

Can I use multiple toolkits together?+

Is Composio secure?+

What if the API changes?+

Start with Pinecone.It takes 30 seconds.

Teams ship real agents on Composio