Productivity
Overview
Access AWS Marketplace directly from Claude to discover, evaluate, and procure cloud solutions. AWS Marketplace MCP helps you find the ideal technology solution from over 30K software, data, and services on AWS Marketplace, compare alternatives, and request private offers from sellers. Get contextual suggestions, relevant insights, and next best action suggestions as your explore AWS Marketplace catalog - all within Claude.
Tools
delete_aws_marketplace_conversation
Claudedelete_aws_marketplace_uploaded_file
Claudegenerate_aws_marketplace_file_upload_url
Claudeget_aws_marketplace_comparisons_report
Claudeget_aws_marketplace_evaluation_report
Claudeget_aws_marketplace_recommendations_report
Claudeget_aws_marketplace_related_solutions
Claudeget_aws_marketplace_report_guidelines
Claude⚠️ 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 textget_aws_marketplace_solution
Claudeget_aws_marketplace_uploaded_files
Clauderesearch_aws_marketplace_solution
ClaudeDeep 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.search_aws_marketplace_solutions
Claudesubmit_aws_marketplace_feedback
ClaudeSubmit 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
