AMAZON DATA PROCESSING MCP SERVER TOOLS

36 tools from the Amazon Data Processing MCP Server MCP Server, categorised by risk level.

View the Amazon Data Processing MCP Server policy →

READ TOOLS

4

WRITE TOOLS

32
add_inline_policy Add a new inline policy to an IAM role. This tool creates a new inline policy with the specified permissions and adds it to an IAM role. Inline po... create_data_processing_role Create a new IAM role for data processing services. This tool creates a new IAM role with the appropriate trust relationship for the specified dat... manage_aws_athena_data_catalogs Manage AWS Athena data catalogs with both read and write operations. This tool provides operations for managing Athena data catalogs, including cr... manage_aws_athena_databases_and_tables Manage AWS Athena databases and tables with read operations. This tool provides operations for retrieving information about databases and tables i... manage_aws_athena_named_queries Manage saved SQL queries in AWS Athena. This tool provides operations for creating, retrieving, updating, and deleting named queries in AWS Athena... manage_aws_athena_query_executions Execute and manage AWS Athena SQL queries. This tool provides comprehensive operations for AWS Athena query management, including starting new que... manage_aws_athena_workgroups Manage AWS Athena workgroups with both read and write operations. This tool provides operations for managing Athena workgroups, including creating... manage_aws_emr_clusters Manage AWS EMR EC2 clusters with comprehensive control over cluster lifecycle. This tool provides operations for managing Amazon EMR clusters runn... manage_aws_emr_ec2_instances Manage AWS EMR EC2 instances with both read and write operations. This tool provides comprehensive operations for managing Amazon EMR EC2 instance... manage_aws_emr_ec2_steps Manage AWS EMR EC2 steps for processing data on EMR clusters. This tool provides comprehensive operations for managing EMR steps, which are units ... manage_aws_emr_serverless_applications Manage AWS EMR Serverless applications with comprehensive control over application lifecycle. This tool provides operations for managing Amazon EM... manage_aws_emr_serverless_job_runs Manage AWS EMR Serverless job runs for executing data processing workloads. This tool provides operations for managing Amazon EMR Serverless job r... manage_aws_glue_catalog Manage AWS Glue Data Catalog with both read and write operations. This tool provides operations for managing the Glue Data Catalog itself, includi... manage_aws_glue_classifiers Manage AWS Glue classifiers to determine data formats and schemas. This tool provides operations for AWS Glue classifiers, which help determine th... manage_aws_glue_connection_metadata Access connection metadata and preview entity data from AWS Glue connections. This tool provides operations for discovering entities available thr... manage_aws_glue_connection_types Discover and describe AWS Glue connection types. This tool provides operations for discovering available connection types in AWS Glue and getting ... manage_aws_glue_connections Manage AWS Glue Data Catalog connections with both read and write operations. Connections in AWS Glue store connection information for data stores... manage_aws_glue_crawler_management Manage AWS Glue crawler schedules and monitor performance metrics. This tool provides operations for controlling crawler schedules and retrieving ... manage_aws_glue_crawlers Manage AWS Glue crawlers to discover and catalog data sources. This tool provides comprehensive operations for AWS Glue crawlers, which automatica... manage_aws_glue_databases Manage AWS Glue Data Catalog databases with both read and write operations. This tool provides operations for managing Glue Data Catalog databases... manage_aws_glue_encryption Manage AWS Glue Data Catalog Encryption Settings for data protection. This tool allows you to retrieve and update AWS Glue Data Catalog Encryption... manage_aws_glue_jobs Manage AWS Glue ETL jobs and job runs with both read and write operations. This tool provides comprehensive operations for managing AWS Glue ETL j... manage_aws_glue_partitions Manage AWS Glue Data Catalog partitions with both read and write operations. Partitions in AWS Glue represent a way to organize table data based o... manage_aws_glue_resource_policies Manage AWS Glue Resource Policies for access control. This tool allows you to retrieve, create, update, and delete AWS Glue Resource Policies, whi... manage_aws_glue_security_configurations Manage AWS Glue Security Configurations for data encryption. This tool allows you to create, retrieve, and delete AWS Glue Security Configurations... manage_aws_glue_sessions Manage AWS Glue Interactive Sessions for running Spark and Ray workloads. This tool provides operations for creating and managing Glue Interactive... manage_aws_glue_statements Manage AWS Glue Interactive Session Statements for executing code and retrieving results. This tool provides operations for executing code, cancel... manage_aws_glue_tables Manage AWS Glue Data Catalog tables with both read and write operations. This tool provides comprehensive operations for managing Glue Data Catalo... manage_aws_glue_triggers Manage AWS Glue triggers to automate workflow and job execution. This tool allows you to create, delete, retrieve, list, start, and stop AWS Glue ... manage_aws_glue_usage_profiles Manage AWS Glue Usage Profiles for resource allocation and cost management. This tool allows you to create, retrieve, update, and delete AWS Glue ... manage_aws_glue_workflows Manage AWS Glue workflows to orchestrate complex ETL activities. This tool allows you to create, delete, retrieve, list, and start AWS Glue workfl... upload_to_s3 Upload Python code content directly to an S3 bucket using putObject. This tool uploads Python code content directly to an S3 bucket, commonly used...
How many tools does the Amazon Data Processing MCP Server MCP server have? +

The Amazon Data Processing MCP Server MCP server exposes 36 tools across 2 categories: Read, Write.

How do I enforce policies on Amazon Data Processing MCP Server tools? +

Use Intercept, the open-source MCP proxy. Write YAML rules for each tool — rate limits, argument validation, or deny rules — then run Intercept in front of the Amazon Data Processing MCP Server server.

What risk categories do Amazon Data Processing MCP Server tools fall into? +

Amazon Data Processing MCP Server tools are categorised as Read (4), Write (32). Each category has a recommended default policy.

Let agents act without letting them run wild.

Deterministic policy on every MCP tool call. Per-identity grants. Full audit log.

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