# How to integrate Pinecone MCP with Atomic Agent

```json
{
  "title": "How to integrate Pinecone MCP with Atomic Agent",
  "toolkit": "Pinecone",
  "toolkit_slug": "pinecone",
  "framework": "Atomic Agent",
  "framework_slug": "atomic-agent",
  "url": "https://composio.dev/toolkits/pinecone/framework/atomic-agent",
  "markdown_url": "https://composio.dev/toolkits/pinecone/framework/atomic-agent.md",
  "updated_at": "2026-08-14T10:04:59.892Z"
}
```

## Introduction

Atomic Agent is an open-source AI agent that runs on your machine and supports local models through llama.cpp. Connect it to 1,500+ apps through Composio, including Pinecone.
This guide uses Atomic Agent's built-in Composio integration. You need Atomic Agent v0.5.6 or later, your own Composio API key, and a Pinecone account. See the [Atomic Agent documentation](https://atomicagent.io/docs/?cta_placement=atomic-agent-docs) for installation instructions.

## Also integrate Pinecone with

- [ChatGPT](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)
- [Grok Build](https://composio.dev/toolkits/pinecone/framework/grok-build)
- [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)
- [Pi](https://composio.dev/toolkits/pinecone/framework/pi-agent)
- [DeepSeek Harness](https://composio.dev/toolkits/pinecone/framework/deepseek)
- [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

### How Atomic Agent connects to Pinecone
Atomic Agent connects to Composio's Tool Router over Streamable HTTP MCP. It discovers the tools needed for your request, and Composio handles account authentication.
Execution and account-connection tools follow Atomic Agent's configured approval policy. Review any approval prompt before allowing an action on your connected account.

## Connect Pinecone to Atomic Agent

### Connect Pinecone to Atomic Agent
- Sign up or sign in to the [Composio dashboard](https://dashboard.composio.dev/?cta_placement=atomic-agent-api-key). Copy your API key.
- In Atomic Agent, open the Integrations tab and select Composio. Select API key, press e, paste the key, and press Enter. The tools become available immediately, without a restart.
- Ask Atomic Agent to do something in Pinecone. It searches Composio for the right tool.
- On first use, open the sign-in link returned in the chat. Connect your Pinecone account, then return to Atomic Agent to continue.
### Headless setup
Add the following line to ~/.atomic-agent/.env, replacing YOUR_COMPOSIO_API_KEY with your key. Start Atomic Agent after saving the file.

```bash
COMPOSIO_API_KEY=YOUR_COMPOSIO_API_KEY
```

## 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.

## Troubleshooting

### Why is my API key rejected?

Copy the key directly from the Composio dashboard. Atomic Agent requires ASCII characters because it sends the key in an HTTP header. Remove any extra characters introduced when copying.

### Why are Composio tools unavailable after saving a key?

Check that you use Atomic Agent v0.5.6 or later and that Composio is enabled in your configuration. A "composio": { "enabled": false } setting disables the integration while keeping the saved key on disk.

### Does Composio have a free plan?

The Hobby plan includes 100,000 tool calls per month. Composio-managed OAuth apps have a lower included allowance. See [Composio pricing](/pricing) for the current limits that apply to your connection.

## Complete Code

None listed.

## Conclusion

### Use Pinecone from Atomic Agent
With your account connected, ask Atomic Agent to work with Pinecone in natural language. You can connect more apps through the same Composio integration as you need them.
Visit the [Atomic Agent website](https://atomicagent.io/?cta_placement=atomic-agent-site) or inspect the [Atomic Agent source code](https://github.com/AtomicBot-ai/atomic-agent?cta_placement=atomic-agent-repo).

## How to build Pinecone MCP Agent with another framework

- [ChatGPT](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)
- [Grok Build](https://composio.dev/toolkits/pinecone/framework/grok-build)
- [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)
- [Pi](https://composio.dev/toolkits/pinecone/framework/pi-agent)
- [DeepSeek Harness](https://composio.dev/toolkits/pinecone/framework/deepseek)
- [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)

## Related Toolkits

- [Supabase](https://composio.dev/toolkits/supabase) - Supabase is an open-source backend platform offering scalable Postgres databases, authentication, storage, and real-time APIs. It lets developers build modern apps without managing infrastructure.
- [Composio](https://composio.dev/toolkits/composio) - Composio is an integration platform that connects AI agents with hundreds of business tools. It streamlines authentication and lets you trigger actions across services—no custom code needed.
- [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.
- [Composio search](https://composio.dev/toolkits/composio_search) - Composio search is a unified web search toolkit spanning travel, e-commerce, news, financial markets, images, and more. It lets you and your apps tap into up-to-date web data from a single, easy-to-integrate service.
- [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.
- [1password](https://composio.dev/toolkits/_1password) - 1Password is a password manager and digital vault for storing logins, secrets, notes, and secure documents. It helps individuals and teams protect credentials, share access safely, and reduce password risk.
- [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.
- [AccuWeather](https://composio.dev/toolkits/accu_weather) - AccuWeather is a global weather service providing current conditions, forecasts, MinuteCast precipitation, alerts, and lightning data. Use it for fast, localized forecasts and real-time weather alerts.
- [Adafruit IO](https://composio.dev/toolkits/adafruit_io) - Adafruit IO is Adafruit's cloud platform for connected device and IoT project data. It helps you store, visualize, and act on sensor feeds without running your own backend.
- [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.

## Frequently Asked Questions

### What are the differences in Tool Router MCP and Pinecone MCP?

With a standalone Pinecone MCP server, the agents and LLMs can only access a fixed set of Pinecone tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Pinecone and many other apps based on the task at hand, all through a single MCP endpoint.

### Can I use Tool Router MCP with Atomic Agent?

Yes, you can. Atomic Agent fully supports MCP integration. You get structured tool calling, message history handling, and model orchestration while Tool Router takes care of discovering and serving the right Pinecone tools.

### Can I manage the permissions and scopes for Pinecone while using Tool Router?

Yes, absolutely. You can configure which Pinecone scopes and actions are allowed when connecting your account to Composio. You can also bring your own OAuth credentials or API configuration so you keep full control over what the agent can do.

### How safe is my data with Composio Tool Router?

All sensitive data such as tokens, keys, and configuration is fully encrypted at rest and in transit. Composio is SOC 2 Type 2 compliant and follows strict security practices so your Pinecone data and credentials are handled as safely as possible.

---
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