# How to integrate Pinecone MCP with Grok Build

```json
{
  "title": "How to integrate Pinecone MCP with Grok Build",
  "toolkit": "Pinecone",
  "toolkit_slug": "pinecone",
  "framework": "Grok Build",
  "framework_slug": "grok-build",
  "url": "https://composio.dev/toolkits/pinecone/framework/grok-build",
  "markdown_url": "https://composio.dev/toolkits/pinecone/framework/grok-build.md",
  "updated_at": "2026-03-29T06:45:37.839Z"
}
```

## Introduction

### How to integrate Pinecone MCP with Grok Build
[Grok Build](https://docs.x.ai/build/overview) is xAI's terminal coding agent. It runs on Grok 4.5, plans its work before it acts, and can run multiple sub-agents in parallel. It also reads Claude Code's MCP configuration, so any server you already have in a .mcp.json is picked up with no changes.
In this guide, I will show you how to connect your Pinecone account to Grok Build through Composio, so it can query all vectors similar to user question, upsert document embeddings into a namespace, delete vectors from the archive index, and more without leaving the terminal. Composio holds the OAuth tokens for you, and Grok Build only calls the tools you approve.

## Also integrate Pinecone with

- [ChatGPT Work](https://composio.dev/toolkits/pinecone/framework/chatgpt)
- [Antigravity](https://composio.dev/toolkits/pinecone/framework/antigravity)
- [OpenAI Agents SDK](https://composio.dev/toolkits/pinecone/framework/open-ai-agents-sdk)
- [Claude Agent SDK](https://composio.dev/toolkits/pinecone/framework/claude-agents-sdk)
- [Claude Code](https://composio.dev/toolkits/pinecone/framework/claude-code)
- [Claude Cowork](https://composio.dev/toolkits/pinecone/framework/claude-cowork)
- [Codex](https://composio.dev/toolkits/pinecone/framework/codex)
- [Cursor](https://composio.dev/toolkits/pinecone/framework/cursor)
- [VS Code](https://composio.dev/toolkits/pinecone/framework/vscode)
- [OpenCode](https://composio.dev/toolkits/pinecone/framework/opencode)
- [OpenClaw](https://composio.dev/toolkits/pinecone/framework/openclaw)
- [Hermes](https://composio.dev/toolkits/pinecone/framework/hermes-agent)
- [Google ADK](https://composio.dev/toolkits/pinecone/framework/google-adk)
- [LangChain](https://composio.dev/toolkits/pinecone/framework/langchain)
- [Vercel AI SDK](https://composio.dev/toolkits/pinecone/framework/ai-sdk)
- [Mastra AI](https://composio.dev/toolkits/pinecone/framework/mastra-ai)
- [LlamaIndex](https://composio.dev/toolkits/pinecone/framework/llama-index)
- [CrewAI](https://composio.dev/toolkits/pinecone/framework/crew-ai)
- [Pydantic AI](https://composio.dev/toolkits/pinecone/framework/pydantic-ai)
- [AutoGen](https://composio.dev/toolkits/pinecone/framework/autogen)

## TL;DR

### Why use Composio over a standalone MCP server?
- Read and write access. Composio's Pinecone integration lets Grok Build take real actions like creating drafts, sending updates, and labeling records, not just reading data.
- 1,000+ SaaS toolkits out of the box. One endpoint gives you a full catalog of pre-built connectors, from Gmail and Slack to Notion, Linear, and Salesforce.
- One MCP server for every app. Wire up a single Composio server instead of maintaining a separate MCP entry for each app.
- Smart, context-aware tool loading. Grok Build caps how many tools it holds in a single request. Composio loads only the tools a task needs, so you do not spend that budget on tools you are not using.
- Cross-app automation. Chain actions across apps in one run. Pull a thread, summarize it in Notion, and post the highlights to Slack from a single prompt.

## Connect Pinecone to Grok Build

### Prerequisites
- Grok Build installed and signed in. Install with curl -fsSL https://x.ai/cli/install.sh | bash on macOS or Linux, or irm https://x.ai/cli/install.ps1 | iex on Windows PowerShell. On first launch Grok opens a browser to authenticate; for headless or CI use, set an XAI_API_KEY environment variable instead (create the key at [console.x.ai](https://console.x.ai/)).
- Access to the Pinecone account you want to connect.
- The [Composio MCP endpoint](https://dashboard.composio.dev/login?utm_source=toolkits&utm_medium=framework_template&utm_campaign=grok-build&utm_content=composio_connect). Composio's server is remote and hosted, so there is nothing to run locally and no tunnel to set up.
### Step-by-step: Connect Pinecone to Grok Build
### 1. Install and verify Grok Build
Install the CLI, then restart your shell so the grok binary lands on your PATH:

```bash
curl -fsSL https://x.ai/cli/install.sh | bash
which grok
```

## What is the Pinecone MCP server, and what's possible with it?

The Pinecone MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Pinecone account. It provides structured and secure access so your agent can perform Pinecone operations on your behalf.

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `PINECONE_CANCEL_BULK_IMPORT` | Cancel Bulk Import | Tool to cancel a bulk import operation in Pinecone. Use when you need to stop an ongoing import operation that is not yet finished. |
| `PINECONE_CONFIGURE_INDEX` | Configure Index | Tool to configure an existing Pinecone index, including pod type, replicas, deletion protection, and tags. Use when you need to scale an index vertically or horizontally, enable/disable deletion protection, or update tags. The change is asynchronous; check index status for completion. |
| `PINECONE_CREATE_BACKUP` | Create Backup | Tool to create a backup of a Pinecone index for disaster recovery and version control. Use when you need to preserve the current state of an index including vectors, metadata, and configuration. |
| `PINECONE_CREATE_INDEX` | Create Index | Tool to create a Pinecone index with specified configuration. Use when you need to initialize a new vector database index for storing and querying embeddings. |
| `PINECONE_CREATE_INDEX_WITH_EMBEDDING_MODEL` | Create Index with Embedding Model | Tool to create a Pinecone index with integrated embedding model for automatic vectorization. Use when you need to set up a new index that automatically converts text to vectors using a pre-configured embedding model. |
| `PINECONE_CREATE_INDEX_FROM_BACKUP` | Create Index from Backup | Tool to create an index from a backup. Use when you need to restore or duplicate index data from a previously saved backup. |
| `PINECONE_CREATE_NAMESPACE` | Create Namespace | Tool to create a namespace within a serverless Pinecone index. Use when you need to organize vectors into isolated partitions. |
| `PINECONE_DELETE_INDEX` | Delete Index | Tool to permanently delete a Pinecone index. Use when you need to remove an index from your project. Note: Deletion protection and pending collections can prevent deletion. |
| `PINECONE_DELETE_NAMESPACE` | Delete Namespace | Tool to permanently delete a namespace from a serverless index. Use when you need to remove an entire namespace and all its data. This operation is irreversible and only supported on serverless indexes. |
| `PINECONE_DESCRIBE_BACKUP` | Describe Backup | Tool to retrieve detailed information about a specific backup. Use when you need to check backup status, configuration, or metadata. |
| `PINECONE_DESCRIBE_BULK_IMPORT` | Describe Bulk Import | Tool to describe a specific bulk import operation in Pinecone. Use when you need to retrieve detailed information about an import's status, progress, timing, and any errors. |
| `PINECONE_DESCRIBE_INDEX_STATS` | Describe Index Stats | Tool to get index statistics including vector count per namespace, dimensions, and fullness. Use when you need to understand the contents and status of an index. |
| `PINECONE_DESCRIBE_RESTORE_JOB` | Describe Restore Job | Tool to get detailed information about a specific restore job in Pinecone. Use when you need to check the status, progress, or metadata of a restore operation. |
| `PINECONE_GENERATE_EMBEDDINGS` | Generate Embeddings | Tool to generate vector embeddings for input text using Pinecone's hosted embedding models. Use when you need to convert text into vector representations for semantic search or similarity matching. |
| `PINECONE_GET_MODEL_INFORMATION` | Get Model Information | Tool to retrieve detailed information about a specific model hosted by Pinecone. Use when you need to understand model capabilities for embedding and reranking operations. |
| `PINECONE_LIST_BULK_IMPORTS` | List Bulk Imports | Tool to list all recent and ongoing bulk import operations in Pinecone. Use when you need to monitor or track the status of data import jobs. Supports pagination with a default limit of 100 imports per page. |
| `PINECONE_LIST_COLLECTIONS` | List Collections | Tool to list all collections in a Pinecone project (pod-based indexes only). Use when you need to view available collections. |
| `PINECONE_LIST_INDEX_BACKUPS` | List Index Backups | Tool to list all backups for a specific Pinecone index. Use when you need to view available backups for an index. Supports pagination via limit and paginationToken parameters. |
| `PINECONE_LIST_INDEXES` | List Indexes | Tool to list all indexes in a Pinecone project. Use when you need to retrieve all indexes with their configurations and status information. |
| `PINECONE_LIST_AVAILABLE_MODELS` | List Available Models | Tool to list all available embedding and reranking models hosted by Pinecone. Use when you need to discover available models or filter by model type (embed/rerank) or vector type (dense/sparse). |
| `PINECONE_LIST_NAMESPACES` | List Namespaces | Tool to list all namespaces in a serverless Pinecone index. Use when you need to discover available namespaces for data organization. Returns up to 100 namespaces by default with pagination support. |
| `PINECONE_LIST_PROJECT_BACKUPS` | List Project Backups | Tool to list all backups for indexes in a Pinecone project. Use when you need to retrieve backup information across all project indexes. Supports pagination with limit and paginationToken parameters. |
| `PINECONE_LIST_RESTORE_JOBS` | List Restore Jobs | Tool to list all restore jobs for a project with pagination support. Use when you need to view the status of restore operations or track restore progress. |
| `PINECONE_LIST_VECTORS` | List Vectors | Tool to list vector IDs in a Pinecone serverless index. Use when you need to browse or retrieve vector identifiers from a namespace. Supports filtering by prefix and pagination for large result sets. |
| `PINECONE_QUERY_VECTORS` | Query Vectors | Tool to perform semantic search within a Pinecone index using a query vector. Retrieves IDs and similarity scores of the most similar items, ordered from most to least similar. Either vector or id parameter must be provided. |
| `PINECONE_RERANK_DOCUMENTS` | Rerank Documents | Tool to rerank documents by semantic relevance to a query. Use when you need to order retrieved documents by their semantic relevance to a user's search query using Pinecone's hosted reranking models. |
| `PINECONE_SEARCH_RECORDS_IN_NAMESPACE` | Search Records in Namespace | Tool to search records within a Pinecone namespace using text, vector, or ID query. Use when you need to find similar records based on embeddings or record IDs. Results can optionally be reranked for relevance. |
| `PINECONE_START_BULK_IMPORT` | 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. Use when you need to import large volumes of vectors from external storage. Returns an import ID to track the operation status. |
| `PINECONE_UPDATE_VECTOR` | Update Vector | Tool to update a vector in Pinecone by ID. Use to overwrite vector values and/or metadata. Supports bulk updates via metadata filters. |
| `PINECONE_UPSERT_RECORDS_TO_NAMESPACE` | Upsert Records to Namespace | Tool to upsert text records into a Pinecone namespace. Use when you need to add or update records with automatic text-to-vector conversion. |

## Supported Triggers

None listed.

## Creating MCP Server - Stand-alone vs Composio SDK

Once connected, Grok Build can access the Pinecone MCP server via Composio to run the app actions you authorize, directly from your terminal.

## Complete Code

None listed.

## How to build Pinecone MCP Agent with another framework

- [ChatGPT Work](https://composio.dev/toolkits/pinecone/framework/chatgpt)
- [Antigravity](https://composio.dev/toolkits/pinecone/framework/antigravity)
- [OpenAI Agents SDK](https://composio.dev/toolkits/pinecone/framework/open-ai-agents-sdk)
- [Claude Agent SDK](https://composio.dev/toolkits/pinecone/framework/claude-agents-sdk)
- [Claude Code](https://composio.dev/toolkits/pinecone/framework/claude-code)
- [Claude Cowork](https://composio.dev/toolkits/pinecone/framework/claude-cowork)
- [Codex](https://composio.dev/toolkits/pinecone/framework/codex)
- [Cursor](https://composio.dev/toolkits/pinecone/framework/cursor)
- [VS Code](https://composio.dev/toolkits/pinecone/framework/vscode)
- [OpenCode](https://composio.dev/toolkits/pinecone/framework/opencode)
- [OpenClaw](https://composio.dev/toolkits/pinecone/framework/openclaw)
- [Hermes](https://composio.dev/toolkits/pinecone/framework/hermes-agent)
- [Google ADK](https://composio.dev/toolkits/pinecone/framework/google-adk)
- [LangChain](https://composio.dev/toolkits/pinecone/framework/langchain)
- [Vercel AI SDK](https://composio.dev/toolkits/pinecone/framework/ai-sdk)
- [Mastra AI](https://composio.dev/toolkits/pinecone/framework/mastra-ai)
- [LlamaIndex](https://composio.dev/toolkits/pinecone/framework/llama-index)
- [CrewAI](https://composio.dev/toolkits/pinecone/framework/crew-ai)
- [Pydantic AI](https://composio.dev/toolkits/pinecone/framework/pydantic-ai)
- [AutoGen](https://composio.dev/toolkits/pinecone/framework/autogen)

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- [Codeinterpreter](https://composio.dev/toolkits/codeinterpreter) - Codeinterpreter is a Python-based coding environment with built-in data analysis and visualization. It lets you instantly run scripts, plot results, and prototype solutions inside supported platforms.
- [GitHub](https://composio.dev/toolkits/github) - GitHub is a code hosting platform for version control and collaborative software development. It streamlines project management, code review, and team workflows in one place.
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- [Excel](https://composio.dev/toolkits/excel) - Microsoft Excel is a robust spreadsheet application for organizing, analyzing, and visualizing data. It's the go-to tool for calculations, reporting, and flexible data management.
- [Perplexityai](https://composio.dev/toolkits/perplexityai) - Perplexityai delivers natural, conversational AI models for generating human-like text. Instantly get context-aware, high-quality responses for chat, search, or complex workflows.
- [Browser tool](https://composio.dev/toolkits/browser_tool) - Browser tool is a virtual browser integration that lets AI agents interact with the web programmatically. It enables automated browsing, scraping, and action-taking from any AI workflow.
- [21risk](https://composio.dev/toolkits/_21risk) - 21RISK is a web app built for easy checklist, audit, and compliance management. It streamlines risk processes so teams can focus on what matters.
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- [Ably](https://composio.dev/toolkits/ably) - Ably is a real-time messaging platform for live chat and data sync in modern apps. It offers global scale and rock-solid reliability for seamless, instant experiences.
- [Abstract](https://composio.dev/toolkits/abstract) - Abstract provides a suite of APIs for automating data validation and enrichment tasks. It helps developers streamline workflows and ensure data quality with minimal effort.
- [Abuselpdb](https://composio.dev/toolkits/abuselpdb) - Abuselpdb is a central database for reporting and checking IPs linked to malicious online activity. Use it to quickly identify and report suspicious or abusive IP addresses.
- [Addressfinder](https://composio.dev/toolkits/addressfinder) - Addressfinder is a data quality platform for verifying addresses, emails, and phone numbers. It helps you ensure accurate customer and contact data every time.
- [Agentql](https://composio.dev/toolkits/agentql) - Agentql is a toolkit that connects AI agents to the web using a specialized query language. It enables structured web interaction and data extraction for smarter automations.
- [Agenty](https://composio.dev/toolkits/agenty) - Agenty is a web scraping and automation platform for extracting data and automating browser tasks—no coding needed. It streamlines data collection, monitoring, and repetitive online actions.
- [Ai ml api](https://composio.dev/toolkits/ai_ml_api) - Ai ml api is a suite of AI/ML models for natural language and image tasks. It provides fast, scalable access to advanced AI capabilities for your apps and workflows.
- [Aivoov](https://composio.dev/toolkits/aivoov) - Aivoov is an AI-powered text-to-speech platform offering 1,000+ voices in over 150 languages. Instantly turn written content into natural, human-like audio for any application.
- [Alchemy](https://composio.dev/toolkits/alchemy) - Alchemy is a blockchain development platform offering APIs and tools for Ethereum apps. It simplifies building and scaling Web3 projects with robust infrastructure.
- [Algolia](https://composio.dev/toolkits/algolia) - Algolia is a hosted search API that powers lightning-fast, relevant search experiences for web and mobile apps. It helps developers deliver instant, typo-tolerant, and scalable search without complex infrastructure.

## Frequently Asked Questions

### What is the difference between the Composio Tool Router and a standalone Pinecone MCP server?

A standalone Pinecone MCP server gives Grok Build a fixed set of Pinecone tools tied to that one server. The Composio Tool Router lets Grok Build load tools from Pinecone and many other apps on demand, based on the task, all through a single endpoint.

### Does Grok Build support MCP?

Yes. Grok Build ships with native MCP support. Add a server with the grok mcp add command, from the in-session /mcps modal, or by editing ~/.grok/config.toml. It also reads Claude Code-style .mcp.json files, so Grok Build discovers the tools automatically.

### Can I reuse the same MCP config I already use with Claude Code?

Yes. Grok Build has zero-migration compatibility with Claude Code's configuration, so the same Composio server entry works in both without edits.

### How safe is my Pinecone data with Composio?

Tokens, keys, and configuration are encrypted at rest and in transit. Composio is SOC 2 Type 2 compliant, so your Pinecone data and credentials are handled to that standard.

---
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