Amazon Data Processing MCP Server

36 tools. 32 can modify or destroy data without limits.

32 write tools that can modify data. Rate limits recommended.

Last updated:

32 can modify or destroy data
4 read-only
36 tools total
Read (4) Write / Execute (32) Destructive / Financial (0)

Write operations (add_inline_policy, create_data_processing_role, manage_aws_athena_data_catalogs) modify state. Without rate limits, an agent can make hundreds of changes in seconds — faster than any human can review or revert.

Rate limit write operations
add_inline_policy:
  rules:
    - rate_limit: 30/hour

Prevents bulk unintended modifications from agents caught in loops.

Cap read operations
analyze_s3_usage_for_data_processing:
  rules:
    - rate_limit: 60/minute

Controls API costs and prevents retry loops from exhausting upstream rate limits.

How do I prevent bulk modifications through Amazon Data Processing MCP Server? +

The Amazon Data Processing MCP Server server has 32 write tools including add_inline_policy, create_data_processing_role, manage_aws_athena_data_catalogs. Set rate limits in your policy file -- for example, rate_limit: 10/hour prevents an agent from making more than 10 modifications per hour. Intercept enforces this at the transport layer.

How many tools does the Amazon Data Processing MCP Server MCP server expose? +

36 tools across 2 categories: Read, Write. 4 are read-only. 32 can modify, create, or delete data.

How do I add Intercept to my Amazon Data Processing MCP Server setup? +

One line change. Instead of running the Amazon Data Processing MCP Server server directly, prefix it with Intercept: intercept -c amazon-data-processing-mcp-server.yaml -- npx -y @awslabs.aws-dataprocessing-mcp-server. Download a pre-built policy from policylayer.com/policies/amazon-data-processing-mcp-server and adjust the limits to match your use case.

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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