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Cloud InfrastructureAuto-generatedScore: 46

AWS Signer MCP Server

AWS Signer is a fully managed service provided by Amazon Web Services (AWS) that enables developers to digitally sign their code and software artifacts, thereby ensuring trust, integrity, and provenance.

Quick Start Summary

The AWS Signer MCP server is a Model Context Protocol bridge that connects AI assistants — including Claude Desktop, Cursor, Windsurf, and VS Code Copilot — to the AWS Signer API through natural language. It exposes 10 API endpoints as callable tools, such as ListProfilePermissions, AddProfilePermission, GetSigningProfile, and more. No authentication is required — setup takes approximately 30 seconds. The server uses STDIO transport and can be installed by running npx -y @mcp/amazonaws-com-signer. This integration is sourced from the auto AWS Signer OpenAPI specification (v2017-08-25) and has a quality score of 46/99 (fair documentation coverage).

10Endpointstools mapped
NoneAuthopen access
46/99Qualityfair
~30 secSetupno auth

Server Details

Category
Cloud Infrastructure
Authentication
None
Endpoints
10 operations
Transport
STDIO
Spec Version
v2017-08-25
Install Command
npx -y @mcp/amazonaws-com-signer

Environment Variables

AWS_SIGNER_API_KEY

Example: your_aws_signer_api_key

Top Endpoints

GET
/signing-profiles/{profileName}/permissions

ListProfilePermissions

POST
/signing-profiles/{profileName}/permissions

AddProfilePermission

GET
/signing-profiles/{profileName}

GetSigningProfile

PUT
/signing-profiles/{profileName}

PutSigningProfile

DELETE
/signing-profiles/{profileName}

CancelSigningProfile

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📖 Detailed MCP Integration Guide

A technical breakdown of capabilities, agent workflows, and security/configuration best practices.

Capabilities & Use Cases
AWS Signer is a fully managed service provided by Amazon Web Services (AWS) that enables developers to digitally sign their code and software artifacts, thereby ensuring trust, integrity, and provenance. Its core capability is to manage the cryptographic signing process, handling the complexity of key generation, storage, and rotation within a secure, auditable environment. While the service has broad applications, its most prominent use case is code signing for AWS Lambda, which allows developers to sign Lambda deployment packages. This integration ensures that only verified, untampered code is executed by the Lambda runtime, protecting against unauthorized modifications. Beyond Lambda, AWS Signer is instrumental for enterprise and independent software vendor (ISV) scenarios where distributing signed software (e.g., for IoT devices, mobile applications, or container images) is critical for security compliance and user trust. It supports multiple signing platforms and signature formats, making it a versatile foundation for a code integrity strategy across cloud and edge environments.
🤖AI Agent Value
Exposing the AWS Signer API as tools within an AI coding assistant via the Model Context Protocol (MCP) unlocks significant value by embedding security and compliance directly into the developer's creative workflow. An AI agent with access to these endpoints can act as a proactive guardian, moving beyond simple code generation to manage the entire lifecycle of code signing. Instead of a developer manually switching between the console and their IDE, the assistant can contextually understand the project and automate the associated security steps. For instance, it can pre-emptively verify that a Lambda function is associated with a valid signing profile before deployment, fetch the latest status of a pending signing job, or audit the permissions on a critical profile to ensure no unauthorized principals have been granted access. This transforms the AI from a passive code generator into an active, context-aware partner in maintaining a secure software supply chain.
💬Example Workflows
Practically, a developer can instruct the AI agent to perform a variety of dynamic tasks that streamline operations and enforce best practices. For example, a developer could ask: "Check the status of the last signing job for my function and list any errors," prompting the agent to use the GET /signing-jobs endpoint to filter and report results. Another command like, "Ensure the prod-signer profile is only trusted by our core Lambda execution role," would trigger the agent to query GET /signing-profiles/prod-signer/permissions, analyze the attached policies, and flag any overly permissive entries. The agent could also be tasked with automating repetitive setups, such as "Create a new signing profile named staging-signer with the same permissions as dev-signer," involving calls to PUT /signing-profiles/{profileName} and POST /signing-profiles/{profileName}/permissions. These capabilities reduce context-switching, prevent human error, and accelerate the integration of security controls into development pipelines.
🛡️Security & Auth
The provided API endpoints utilize "None" for authentication, which signifies that they rely on the underlying AWS Identity and Access Management (IAM) framework for access control rather than a separate API key or token. Therefore, the critical security requirement is the proper configuration of IAM policies and roles. The principle of least privilege is paramount; any entity (whether an AI agent, a developer, or a CI/CD service) should be granted only the specific Signer permissions (e.g., signer:GetSigningProfile, signer:StartSigningJob) necessary for its function, scoped to the precise resources (specific profile names or job IDs) it requires. Furthermore, sensitive operations like creating or modifying profiles and permissions should be restricted to trusted, audited principals. When setting up an MCP server to expose these endpoints, developers must ensure the server itself operates with a secured IAM role and that all interactions are logged via AWS CloudTrail for comprehensive audit trails.

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