# AWS Marketplace MCP

```json
{
  "name": "AWS Marketplace MCP",
  "slug": "aws_marketplace_mcp",
  "url": "https://composio.dev/toolkits/aws_marketplace_mcp",
  "markdown_url": "https://composio.dev/toolkits/aws_marketplace_mcp.md",
  "logo_url": "https://logos.composio.dev/api/aws_marketplace_mcp",
  "categories": [
    "developer tools & devops"
  ],
  "is_composio_managed": false,
  "updated_at": "2026-08-06T11:13:24.635Z"
}
```

![AWS Marketplace MCP logo](https://logos.composio.dev/api/aws_marketplace_mcp)

## Description

Securely connect your AI agents and chatbots (Claude, ChatGPT, Cursor, etc) with AWS Marketplace MCP or direct API to discover cloud software, compare listings, evaluate pricing, and shortlist procurement options through natural language.

## Summary

AWS Marketplace MCP provides MCP access to AWS Marketplace's cloud software, data, and services catalog.
Use it to discover, compare, and evaluate 30K+ AWS Marketplace listings faster.

## Categories

- developer tools & devops

## Toolkit Details

- Tools: 6

## Images

- Logo: https://logos.composio.dev/api/aws_marketplace_mcp

## Authentication

- **No Auth**
  - Type: `custom`
  - Description: No Auth authentication for AWS Marketplace MCP.
  - Setup:
    - Configure No Auth credentials for AWS Marketplace MCP.
    - Use the credentials when creating an auth config in Composio.

## Suggested Prompts

- Find security tools with free trials
- Compare Kubernetes monitoring marketplace listings
- Shortlist data products for analytics teams

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `AWS_MARKETPLACE_MCP_GET_AWS_MARKETPLACE_RELATED_SOLUTIONS` | Get aws marketplace related solutions | Direct AWS Marketplace Catalog API call. Returns raw unranked list of related solutions for given solution_ids without AI analysis, filtering, or relevance scoring. Provides basic metadata for solutions that AWS Marketplace identifies as related to the specified solutions. **Input Parameters:** - **solution_ids** (required): Array of solution IDs (max 10) to find related solutions for. IDs start with `prodview-`, not `prod-` **Returns:** `{ results: [...] }` - Array of results, each containing `solution_id` (the input solution) and `related_solutions` array (each containing solution_id, solution_name, vendor_name, vendor_url, solution_description, solution_url). **Example:** ```json { "solution_ids": ["prodview-abc123", "prodview-xyz789"] } ``` **Use this tool ONLY when:** - You have solution_ids and need raw related solutions list - Building programmatic integrations requiring unprocessed related solutions data - User explicitly requests raw related solutions API response - Need direct access to AWS Marketplace's related solutions without AI filtering **DO NOT use this tool for:** - Finding alternative solutions → Use `get_aws_marketplace_report_guidelines` with `recommendations` workflow - User asking "what are alternatives to [solution]?" → Use `get_aws_marketplace_report_guidelines` with `recommendations` workflow - Recommendations or comparisons → Use `get_aws_marketplace_report_guidelines` to get workflow instructions first - Requirements-based alternative discovery → Use `get_aws_marketplace_report_guidelines` with `recommendations` workflow **Note:** This is a stateless tool that does not require a conversation or request_id. Returns unranked, unfiltered AWS Marketplace catalog data without AI analysis. **⚠️ CRITICAL:** For any recommendation, comparison, or evaluation, first call `get_aws_marketplace_report_guidelines` to get the step-by-step guide and output format. **CRITICAL: When displaying URLs from this response (solution_url, vendor_url), always render the COMPLETE URL including ALL query parameters such as `ref_`. Do not truncate or simplify these URLs. These parameters are required for attribution tracking.** |
| `AWS_MARKETPLACE_MCP_GET_AWS_MARKETPLACE_REPORT_GUIDELINES` | Get aws marketplace report guidelines | **⚠️ CALL THIS TOOL FIRST for any recommendation, comparison, or evaluation workflow.** Returns combined workflow instructions and output format template. **Input Parameters:** - **workflow_type** (required): The type of report to create. One of: - `"recommendations"` - Discover and rank AWS Marketplace solutions based on user requirements. Returns ranked product recommendations with relevance scores. - `"comparison"` - Create side-by-side comparisons of multiple AWS Marketplace solutions. Returns structured comparison tables with consistent dimensions. - `"evaluation"` - Generate a comprehensive evaluation report for a single AWS Marketplace solution. Returns professional-grade evaluation documents. **Returns:** Response object with: - `workflow_type` - The requested workflow type - `guidelines` - Combined workflow instructions and output format specification. Contains step-by-step methodology followed by the markdown format template. **Example:** ```json { "workflow_type": "recommendations" } ``` **Important:** Call this tool first for any recommendations, comparison, or evaluation workflow. The returned `guidelines` contains complete instructions including workflow steps and output format template. **When to use each workflow:** 1. **recommendations** - Solution discovery queries: - "find monitoring tools for Kubernetes" - "I need a CI/CD solution" - "help me find NoSQL database solutions" - "SOC2-compliant security scanning under $5k/month" 2. **comparison** - Side-by-side analysis: - "compare Datadog vs New Relic" - "differences between MongoDB Atlas and Amazon DocumentDB" - "Splunk vs Elastic for log management" 3. **evaluation** - Deep-dive on single product: - "build evaluation report for Terraform Cloud" - "create a proposal for Datadog" - "should we choose Snowflake? Full analysis" - "justify purchasing New Relic to my CTO" **📋 User Feedback (REQUIRED):** After completing any workflow, ask the user if the report was helpful and submit their feedback using `submit_aws_marketplace_feedback`: - Positive: User found response helpful (thumbs up) - Negative: Ask which categories apply (irrelevant, incomplete, inaccurate, other) and optionally collect detailed feedback text |
| `AWS_MARKETPLACE_MCP_GET_AWS_MARKETPLACE_SOLUTION` | Get aws marketplace solution | Direct AWS Marketplace Catalog API call. Retrieves raw solution metadata by solution_ids without AI processing, ranking, or conversational analysis. Returns comprehensive solution details including features, reviews with sentiments and sample reviews, pricing options, fulfillment types, categories, and call-to-action links. **Input Parameters:** - **solution_ids** (required): Array of solution IDs (max 10). IDs start with `prodview-`, not `prod-` **Returns:** `{ solutions: [...] }` - Array of solution details Each solution includes: `solution_id`, `solution_name`, `solution_description`, `solution_url`, `vendor_name`, `vendor_url`, `highlights` array, `reviews_summary` with count/rating, `review_sentiments` array by category (functionality, ease_of_use, customer_service, cost_effectiveness) with scores and sample_reviews, optional `free_trial_available`, `pricing_options` array with name/description, optional `fulfillment_options_types` (e.g., SaaS, Container), optional `categories` (e.g., Monitoring & Observability), optional `security_certificates`, and `call_to_action` with procurement/demo/private offer URLs. **Example:** ```json { "solution_ids": ["prodview-abc123", "prodview-xyz789"] } ``` **Use this tool ONLY when:** - You have exact solution_ids and need raw catalog data - Building programmatic integrations requiring unprocessed solution information - User explicitly requests raw API response for specific solutions - Need direct access to solution metadata without conversational context **DO NOT use this tool for:** - Solution discovery or search queries → Use `get_aws_marketplace_report_guidelines` with `recommendations` workflow - User asking "tell me about [solution]" → Use `get_aws_marketplace_report_guidelines` with `evaluation` workflow - Comparative analysis → Use `get_aws_marketplace_report_guidelines` with `comparison` workflow - Recommendations or evaluations → Use `get_aws_marketplace_report_guidelines` to get workflow instructions first **Note:** This is a stateless tool that does not require a conversation or request_id. **⚠️ CRITICAL:** For any recommendation, comparison, or evaluation, first call `get_aws_marketplace_report_guidelines` to get the step-by-step guide and output format. **CRITICAL: When displaying URLs from this response (solution_url, vendor_url, procurement_url, request_for_demo_url, etc.), always render the COMPLETE URL including ALL query parameters such as `ref_`. Do not truncate or simplify these URLs. These parameters are required for attribution tracking.** |
| `AWS_MARKETPLACE_MCP_RESEARCH_AWS_MARKETPLACE_SOLUTION` | Research aws marketplace solution | Deep web research tool for AWS Marketplace solutions. Performs comprehensive web searches to gather detailed information about specific solutions including features, reviews, limitations, competitors, pricing, integrations, and case studies. **Input Parameters:** - **solution_ids** (required): Array of solution IDs (max 5) to research. IDs start with `prodview-`, not `prod-` - **sections** (optional): Array of specific sections to research. Default: all sections. **Section Reference:** \| Section \| Returns \| \|---------\|---------\| \| features \| Official documentation, capabilities, specifications \| \| reviews \| G2, Gartner, TrustRadius customer feedback \| \| limitations \| Known issues, drawbacks, criticisms \| \| competitors \| Competitive positioning, alternatives \| \| pricing \| Cost information, pricing models, tiers \| \| integrations \| AWS ecosystem, APIs, third-party tools \| \| case_studies \| Customer success stories, testimonials, ROI \| **Returns:** `{ results: [...] }` - Array of research results, each containing `solution_id`, `solution_name`, and `research` object with content and citations for each requested section. **Examples:** *Comparison workflow (features + integrations only - reviews already available from get_aws_marketplace_solution catalog data):* ```json { "solution_ids": ["prodview-abc123", "prodview-xyz789"], "sections": ["features", "integrations"] } ``` *Evaluation workflow (comprehensive research for proposal documents):* ```json { "solution_ids": ["prodview-abc123"], "sections": ["features", "reviews", "limitations", "case_studies"] } ``` *General research:* ```json { "solution_ids": ["prodview-abc123"], "sections": ["features", "reviews", "pricing", "integrations"] } ``` **Use this tool when:** - You need detailed research beyond basic catalog metadata - User asks for in-depth analysis of specific solutions - Gathering third-party reviews and testimonials - Researching competitor comparisons or alternatives - Understanding pricing models and cost structures **Note:** This tool performs web searches and may take longer than catalog API calls. Results include citations linking to source materials. **⚠️ CRITICAL:** For any recommendation, comparison, or evaluation, first call `get_aws_marketplace_report_guidelines` to get the step-by-step guide and output format. |
| `AWS_MARKETPLACE_MCP_SEARCH_AWS_MARKETPLACE_SOLUTIONS` | Search aws marketplace solutions | Direct AWS Marketplace Catalog API search. Returns raw unranked, unfiltered solutions matching the search queries without AI processing, relevance scoring, or requirements matching. Provides basic solution metadata directly from the AWS Marketplace catalog. **Input Parameters:** - **queries** (required): Array of search queries (max 10) - **max_results** (optional): Maximum number of solutions to return per query - **cursor** (optional): Pagination cursor (only works for single query, ignored for batch) **Returns:** `{ results: [...], next_cursor: ... }` - Array of search results with optional pagination cursor Each result includes: solution_id, solution_name, vendor_name, vendor_url, solution_description, solution_url. **Example:** ```json { "queries": ["Drata compliance", "Vanta compliance"], "max_results": 5 } ``` **Use this tool ONLY when:** - Building programmatic integrations requiring raw search API access - Need unprocessed search results for custom processing - User explicitly requests raw AWS Marketplace search API response - Direct access to catalog search without AI analysis is required **DO NOT use this tool for:** - Solution discovery queries → Use `get_aws_marketplace_report_guidelines` with `recommendations` workflow - User asking "find [solution type]" → Use `get_aws_marketplace_report_guidelines` with `recommendations` workflow - Requirements-based search → Use `get_aws_marketplace_report_guidelines` with `recommendations` workflow - Recommendations or comparisons → Use `get_aws_marketplace_report_guidelines` to get workflow instructions first - Any conversational queries about finding solutions → Use `get_aws_marketplace_report_guidelines` with `recommendations` workflow **Pagination:** If `next_cursor` is returned (only for single-query requests), call this tool again with the same query and the `cursor` value to retrieve additional solutions. When `next_cursor` is `null`, all matching solutions have been retrieved. **Note:** This is a stateless tool that does not require a conversation or request_id. Returns unranked, unfiltered AWS Marketplace catalog data without AI analysis, relevance scoring, or requirements matching. **⚠️ CRITICAL:** For any recommendation, comparison, or evaluation, first call `get_aws_marketplace_report_guidelines` to get the step-by-step guide and output format. **CRITICAL: When displaying URLs from this response (solution_url, vendor_url), always render the COMPLETE URL including ALL query parameters such as `ref_`. Do not truncate or simplify these URLs. These parameters are required for attribution tracking.** |
| `AWS_MARKETPLACE_MCP_SUBMIT_AWS_MARKETPLACE_FEEDBACK` | Submit aws marketplace feedback | Submit user feedback about AWS Marketplace responses. **IMPORTANT: After completing any AWS Marketplace workflow, you MUST ask the user if they found the report helpful and submit their feedback using this tool.** **Input Parameters:** - **sentiment** (required): User sentiment - `"positive"` - Response was helpful (thumbs up) - `"negative"` - Response was not helpful (thumbs down) - **categories** (optional, for negative feedback): Array of feedback categories - `"irrelevant"` - Didn't address the question - `"incomplete"` - Missing important information - `"inaccurate"` - Contained errors - `"other"` - Other issues - **feedback_text** (optional): Free-form feedback (max 1000 characters) **Returns:** `{ success: boolean, message: string }` **Examples:** Positive feedback: ```json { "sentiment": "positive", "feedback_text": "Great recommendations!" } ``` Negative feedback with categories: ```json { "sentiment": "negative", "categories": ["incomplete", "other"], "feedback_text": "Missing pricing details" } ``` **Feedback collection flow:** 1. Complete the user's request (recommendation, comparison, evaluation) 2. Ask: "Was this response helpful? (thumbs up/thumbs down)" 3. If negative, ask which categories apply 4. Optionally collect additional text feedback 5. Submit using this tool |

## Supported Triggers

None listed.

## Installation and MCP Setup

### Path 1: SDK Installation

#### Path 1, Step 1: Install Composio

Install the Composio SDK
```python
pip install composio_openai
```

```typescript
npm install @composio/openai
```

#### Path 1, Step 2: Initialize Composio and Create Tool Router Session

Import and initialize Composio client, then create a Tool Router session
```python
from openai import OpenAI
from composio import Composio
from composio_openai import OpenAIResponsesProvider

composio = Composio(provider=OpenAIResponsesProvider())
openai = OpenAI()
session = composio.create(user_id='your-user-id')
```

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

const composio = new Composio({
  provider: new OpenAIResponsesProvider(),
});
const openai = new OpenAI({});
const session = await composio.create('your-user-id');
```

#### Path 1, Step 3: Execute AWS Marketplace MCP Tools via Tool Router with Your Agent

Get tools from Tool Router session and execute AWS Marketplace MCP actions with your Agent
```python
tools = session.tools
response = openai.responses.create(
  model='gpt-4.1',
  tools=tools,
  input=[{
    'role': 'user',
    'content': 'Find AWS Marketplace security listings with free trials and summarize pricing.'
  }]
)
result = composio.provider.handle_tool_calls(
  response=response,
  user_id='your-user-id'
)
print(result)
```

```typescript
const tools = session.tools;
const response = await openai.responses.create({
  model: 'gpt-4.1',
  tools: tools,
  input: [{
    role: 'user',
    content: 'Find AWS Marketplace security listings with free trials and summarize pricing.'
  }],
});
const result = await composio.provider.handleToolCalls(
  'your-user-id',
  response.output
);
console.log(result);
```

### Path 2: MCP Server Setup

#### Path 2, Step 1: Install Composio

Install the Composio SDK for Python or TypeScript
```python
pip install composio claude-agent-sdk
```

```typescript
npm install @composio/core ai @ai-sdk/openai @ai-sdk/mcp
```

#### Path 2, Step 2: Initialize Client and Create Tool Router Session

Import and initialize the Composio client, then create a Tool Router session for AWS Marketplace MCP
```python
from composio import Composio
from claude_agent_sdk import ClaudeSDKClient, ClaudeAgentOptions

composio = Composio(api_key='your-composio-api-key')
session = composio.create(user_id='your-user-id')
url = session.mcp.url
```

```typescript
import { Composio } from '@composio/core';

const composio = new Composio({ apiKey: 'your-api-key' });
const session = await composio.create('your-user-id');
console.log(`Tool Router session created: ${session.mcp.url}`);
```

#### Path 2, Step 3: Connect to AI Agent

Use the MCP server with your AI agent (Anthropic Claude or Mastra)
```python
import asyncio

options = ClaudeAgentOptions(
    permission_mode='bypassPermissions',
    mcp_servers={
        'tool_router': {
            'type': 'http',
            'url': url,
            'headers': {
                'x-api-key': 'your-composio-api-key'
            }
        }
    },
    system_prompt='You are a helpful assistant with access to AWS Marketplace MCP tools.',
    max_turns=10
)

async def main():
    async with ClaudeSDKClient(options=options) as client:
        await client.query('Compare AWS Marketplace Kubernetes monitoring products for enterprise teams.')
        async for message in client.receive_response():
            if hasattr(message, 'content'):
                for block in message.content:
                    if hasattr(block, 'text'):
                        print(block.text)

asyncio.run(main())
```

```typescript
import { openai } from '@ai-sdk/openai';
import { experimental_createMCPClient as createMCPClient } from '@ai-sdk/mcp';
import { generateText } from 'ai';

const client = await createMCPClient({
  transport: {
    type: 'http',
    url: session.mcp.url,
    headers: {
      'x-api-key': 'your-composio-api-key',
    },
  },
});

const tools = await client.tools();
const { text } = await generateText({
  model: openai('gpt-4o'),
  tools,
  messages: [{
    role: 'user',
    content: 'Compare AWS Marketplace Kubernetes monitoring products for enterprise teams.'
  }],
  maxSteps: 5,
});

console.log(`Agent: ${text}`);
```

## Why Use Composio?

### 1. AI Native AWS Marketplace MCP Integration

- Supports both AWS Marketplace MCP and direct API based integrations
- Structured, LLM-friendly schemas for reliable marketplace search and evaluation
- Rich coverage for discovering, filtering, and comparing AWS Marketplace catalog listings

### 2. No Auth Setup

- Get started without configuring OAuth apps, API keys, or AWS credentials
- Let agents access AWS Marketplace discovery tools through a clean Tool Router session
- Keep setup simple while Composio handles the agent-tool execution layer

### 3. Agent Optimized Design

- Tools are shaped so agents can search AWS Marketplace listings with fewer failed calls
- Clear inputs help agents compare products, vendors, pricing signals, and procurement options
- Comprehensive execution logs so you always know what ran, when, and on whose behalf

### 4. Enterprise Grade Security

- Fine-grained RBAC so you control which agents and users can access AWS Marketplace MCP
- Scoped access to AWS Marketplace discovery and evaluation workflows
- Full audit trail of agent actions to support review, governance, and compliance

## Use AWS Marketplace MCP with any AI Agent Framework

Choose a framework you want to connect AWS Marketplace MCP with:

- [ChatGPT Work](https://composio.dev/toolkits/aws_marketplace_mcp/framework/chatgpt)
- [Claude Cowork](https://composio.dev/toolkits/aws_marketplace_mcp/framework/claude-cowork)

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## Frequently Asked Questions

### Do I need my own developer credentials to use AWS Marketplace MCP with Composio?

No. AWS Marketplace MCP does not require developer credentials for the public catalog discovery flows exposed through Composio. You can create a Tool Router session and start letting agents search, compare, and evaluate AWS Marketplace listings right away.

### Can I use multiple toolkits together?

Yes! Composio's Tool Router enables agents to use multiple toolkits. [Learn more](https://docs.composio.dev/tool-router/overview).

### Is Composio secure?

Composio is SOC 2 and ISO 27001 compliant with all data encrypted in transit and at rest. [Learn more](https://trust.composio.dev).

### What if the API changes?

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

---
[See all toolkits](https://composio.dev/toolkits) · [Composio docs](https://docs.composio.dev/llms.txt)