MCP server directory

AWS Data Processing

One of the ways to connect AWS Data Processing

Data processing and transformation services.

Provides AI applications with access to AWS documentation, contextual guidance, and best practices, enabling enhanced cloud-native development and infrastructure management.

Version:
latest
Publisher:
awslabs
Company:
AWS (third-party)
Summary written by google/gemini-2.5-flash-lite from the server’s own site and README; facts above come from the registries.

Install

Generated from the server’s transport data — never hand-written. Placeholders in angle brackets are yours to fill.

Run it with its own identity, a budget you set, and every call audited — no local config to keep in sync.

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What it can do

As declared by the publisher

Tools · 32

  • add_inline_policy
  • analyze_s3_usage_for_data_processing
  • create_data_processing_role
  • get_policies_for_role
  • get_roles_for_service
  • list_s3_buckets
  • manage_aws_athena_databases_and_tables
  • manage_aws_athena_data_catalogs
  • manage_aws_athena_named_queries
  • manage_aws_athena_query_executions
  • manage_aws_athena_workgroups
  • manage_aws_emr_clusters
  • manage_aws_emr_ec2_instances
  • manage_aws_emr_ec2_steps
  • manage_aws_glue_catalog
  • manage_aws_glue_classifiers
  • manage_aws_glue_connections
  • manage_aws_glue_crawler_management
  • manage_aws_glue_crawlers
  • manage_aws_glue_databases
  • manage_aws_glue_encryption
  • manage_aws_glue_jobs
  • manage_aws_glue_partitions
  • manage_aws_glue_resource_policies
  • manage_aws_glue_security_configurations
  • manage_aws_glue_sessions
  • manage_aws_glue_statements
  • manage_aws_glue_tables
  • manage_aws_glue_triggers
  • manage_aws_glue_usage_profiles
  • manage_aws_glue_workflows
  • upload_to_s3