awslabs.aws-api-mcp-server

Model Context Protocol (MCP) server for interacting with AWS

With conditionsPyPI Application FrameworksReleased Aug 2026451.4K downloads / moApache-2.0Pure Python

Decision gist · record as of 2026-08-14

pure-Python wheel — awslabs_aws_api_mcp_server-1.5.1-py3-none-any.whl

v1.5.1 · released 2026-08-10 · Python >=3.10 · 13 runtime deps: awscli, boto3, botocore, fastmcp, importlib-resources, loguru, lxml, mcp

Yes, with conditions. Install if you use an MCP-compatible AI assistant (Cursor, Kiro, Cline) and need programmatic AWS resource management from AI chat. The package is actively maintained, has low install friction, and carries no license restrictions. However, note that AWS Labs has published an official AWS MCP server that supersedes this one—review the migration guide before committing to this version for new projects. No known security vulnerabilities.AI-flagged interpretation of the facts on this page — verify before relying

Before you install

Requires Python 3.10 or newer and AWS credentials configured (via AWS_API_MCP_PROFILE_NAME environment variable or boto3 default credential chain).
Low friction installation with a pure-Python wheel.
Active maintenance with recent releases (4 days old at query time) and strong repository signals (9598 stars).

License · maintenance · safety

Apache-2.0 (permissive) — Apache-2.0 permissive license allows commercial and private use with minimal restrictions; you must include a copy of the license and state significant changes, but no copyleft obligations apply.

last release 2026-08-10 (4 days) · last repo commit 2026-08-14 · 9,598 stars

0 known vulnerabilities (OSV.dev, 2026-08-14) · 451,414 downloads/mo, #6,586 on PyPI

Alternatives

awslabs.aws-documentation-mcp-serverProvides an MCP server that exposes AWS documentation as searchable tools for AI assistants and code editors.pure-Python wheel935.9K/mo awslabs.aws-pricing-mcp-serverAn MCP server that exposes AWS pricing data and cost analysis tools to AI assistants and MCP clients.pure-Python wheel156.2K/mo awslabs.eks-mcp-serverConnects AI code assistants to Amazon EKS clusters via the Model Context Protocol, enabling LLMs to create clusters.pure-Python wheel123.8K/mo

Verify before relying

pip install awslabs.aws-api-mcp-server

# Configure in MCP client (e.g., Kiro, Cursor, Cline):
# Add to mcp.json:
# {
#   "mcpServers": {
#     "awslabs.aws-api-mcp-server": {
#       "command": "python",
#       "args": ["-m", "awslabs.aws_api_mcp_server.server"],
#       "env": {"AWS_REGION": "us-east-1"}
#     }
#   }
# }

Whether the package remains actively maintained after the official AWS MCP server supersedes it (migration guide exists but long-term support unclear).
Performance characteristics when executing large or complex AWS CLI commands through the MCP bridge.

Same gist for agents: .md · .json

What it is and what it does

This package implements a Model Context Protocol (MCP) server that bridges AI assistants with AWS infrastructure. It translates AI requests into AWS CLI commands, allowing tools like Cursor, Kiro, and Cline to create, update, and manage AWS resources without direct AWS console access. The server maintains proper security controls and credential handling through boto3.

The package acts as a runtime adapter between an AI model and AWS services, handling command translation, response parsing, and credential management. It depends on awscli, boto3, botocore, and other standard Python libraries for HTTP communication, logging, and data validation. The server can run in multiple modes: as a subprocess via Python, in Docker containers, or in HTTP mode for remote access. It supports environment-based configuration for AWS regions and authentication methods.

Use it for

Enable AI coding assistants to provision EC2 instances, S3 buckets, or other AWS resources directly from chat.
Allow AI agents to query and modify AWS infrastructure state without manual console navigation.
Integrate AWS resource management into AI-driven CI/CD or infrastructure-as-code workflows.
Provide AI models with access to latest AWS APIs and services beyond their training cutoff date.
Automate AWS CLI command discovery and execution through natural language prompts in AI assistants.

Worth the install?

AI-flagged interpretation of the facts on this page. Verify before relying on it.

With conditions

Yes, with conditions.

Install if you use an MCP-compatible AI assistant (Cursor, Kiro, Cline) and need programmatic AWS resource management from AI chat. The package is actively maintained, has low install friction, and carries no license restrictions. However, note that AWS Labs has published an official AWS MCP server that supersedes this one—review the migration guide before committing to this version for new projects. No known security vulnerabilities.

Install

awslabs-aws-api-mcp-server on PyPI

pipuvpoetry

Before you install

Low friction installation with a pure-Python wheel. Active maintenance with recent releases (4 days old at query time) and strong repository signals (9598 stars). Requires Python 3.10 or newer and AWS credentials configured; 13 runtime dependencies are standard tools (boto3, awscli, pydantic, loguru, requests).

Requires Python 3.10 or newer and AWS credentials configured (via AWS_API_MCP_PROFILE_NAME environment variable or boto3 default credential chain).

License in practice

Apache-2.0 permissive license allows commercial and private use with minimal restrictions; you must include a copy of the license and state significant changes, but no copyleft obligations apply.

Quickstart

pip install awslabs.aws-api-mcp-server

# Configure in MCP client (e.g., Kiro, Cursor, Cline):
# Add to mcp.json:
# {
#   "mcpServers": {
#     "awslabs.aws-api-mcp-server": {
#       "command": "python",
#       "args": ["-m", "awslabs.aws_api_mcp_server.server"],
#       "env": {"AWS_REGION": "us-east-1"}
#     }
#   }
# }

Verify before relying

Whether the package remains actively maintained after the official AWS MCP server supersedes it (migration guide exists but long-term support unclear).
Performance characteristics when executing large or complex AWS CLI commands through the MCP bridge.

Package facts

License	Apache-2.0 permissive
Python support	Supports the current Python release >=3.10
Install friction	Low. Pure-Python wheel
Runtime dependencies	13 packages awscliboto3botocorefastmcpimportlib-resourceslogurulxmlmcppydanticpython-frontmatterpython-json-loggerrequestssetuptools
Maintenance	Actively maintained 4 days since the last release
Last repo commit	2026-08-14
First released	2025-07-14
Downloads	451,414 / month, #6,586 on PyPI 30-day window, as of 2026-08-14
Known vulnerabilities	None known OSV.dev, checked 2026-08-14
Classifiers	License :: OSI Approved :: Apache Software LicenseOperating System :: OS IndependentProgramming Language :: PythonProgramming Language :: Python :: 3Programming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13

Evidence: awslabs_aws_api_mcp_server-1.5.1-py3-none-any.whl

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awslabs.aws-api-mcp-server

Decision gist · record as of 2026-08-14

Before you install

License · maintenance · safety

Alternatives

Verify before relying

What it is and what it does

Use it for

Worth the install?

Install

Before you install

License in practice

Quickstart

Verify before relying

Package facts

Tags

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