Amazon Location Service MCP Server

Source-backed facts for citing this resource, derived directly from the registry — also available as plain text for AI assistants.

Canonical URL

https://heyclau.de/entry/mcp/aws-location-mcp-server

Source URLs

https://github.com/awslabs/mcp/blob/main/src/aws-location-mcp-server/README.md, https://github.com/awslabs/mcp, https://awslabs.github.io/mcp/

Brand

AWS Labs

Brand domain

aws.amazon.com

Brand asset source

brandfetch

Safety notes

This server calls Amazon Location Service place and route APIs with your AWS credentials; scope the profile to Location Service access and the intended account and region., The tools are query-oriented (search, geocode, route) rather than resource-mutating, but Amazon Location Service API calls may incur AWS usage costs., Run it only on a trusted host, since it uses the local machine's AWS credentials to reach your account.

Privacy notes

Place queries, coordinates, addresses, and waypoints you ask about are sent to Amazon Location Service using your configured credentials., Returned place details, addresses, and route geometry are exposed to the model; keep account identifiers and credentials out of public prompts, issues, and screenshots.

Author

AWS Labs

Submitted by

jaso0n0818

Claim status

unclaimed

Last verified

2026-06-21

• Place queries, coordinates, addresses, and waypoints you ask about are sent to Amazon Location Service using your configured credentials.
• Returned place details, addresses, and route geometry are exposed to the model; keep account identifiers and credentials out of public prompts, issues, and screenshots.

• An AWS account with Amazon Location Service enabled in your chosen region.
• Python 3.10 or newer and `uv` / `uvx` installed (Astral) to run the package.
• AWS credentials configured locally (for example via `aws configure` or `AWS_PROFILE`) with permissions for Amazon Location Service place and route APIs.
• An MCP client that supports stdio servers; the server runs locally on the same host as the client.

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Amazon Location Service MCP Server side by side with 3 alternatives on trust, install, platform support, and disclosed safety notes — all from reviewed registry metadata.

Field	Amazon Location Service MCP Server Official AWS Labs MCP server for Amazon Location Service that gives AI assistants place search, geocoding, reverse geocoding, nearby and open-now search, and route calculation with waypoint optimization. Open dossier	Amazon ECS MCP Server Official AWS Labs MCP server for Amazon ECS that helps AI assistants containerize applications, deploy them to ECS, troubleshoot deployments, and explore ECS and ECR resources across the container application lifecycle. Open dossier	Amazon EKS MCP Server Official AWS Labs MCP server for Amazon EKS that gives AI code assistants real-time cluster state visibility and Kubernetes/EKS resource management, from cluster setup through deployment, troubleshooting, and optimization. Open dossier	Amazon SNS / SQS MCP Server Official AWS Labs MCP server for Amazon SNS and SQS that lets AI assistants list and manage SNS topics, subscriptions, and SQS queues and send/receive messages, with resource tagging so it only modifies what it created. Open dossier
Trust	Review first	Review first	Review first	Review first
Install risk	Review first	Review first	Review first	Review first
Notes	Safety ✓ Privacy ✓	Safety ✓ Privacy ✓	Safety ✓ Privacy ✓	Safety ✓ Privacy ✓
Brand	AWS Labs	AWS Labs	AWS Labs	AWS Labs
Category	mcp	mcp	mcp	mcp
Source	source-backed	source-backed	source-backed	source-backed
Author	AWS Labs	AWS Labs	AWS Labs	AWS Labs
Added	2026-06-21	2026-06-21	2026-06-21	2026-06-21
Platforms	Claude CodeCodexCursorClaude Desktop	Claude CodeClaude Desktop	Claude CodeClaude Desktop	Claude CodeClaude Desktop
Source repo	—	—	—	—
Safety notes	✓This server calls Amazon Location Service place and route APIs with your AWS credentials; scope the profile to Location Service access and the intended account and region. The tools are query-oriented (search, geocode, route) rather than resource-mutating, but Amazon Location Service API calls may incur AWS usage costs. Run it only on a trusted host, since it uses the local machine's AWS credentials to reach your account.	✓The configuration above is read-only. Setting `ALLOW_WRITE=true` lets the server create and modify infrastructure (ECR repos, CloudFormation stacks, ECS services) and `ALLOW_SENSITIVE_DATA=true` exposes logs; enable these only deliberately. AWS documents this server as primarily for development, testing, and non-critical environments; keep write/sensitive-data disabled for production accounts and prefer non-production targets while evaluating it. This server acts on real infrastructure with your AWS credentials; scope the profile to the intended account, region, and resources, and run it only on a trusted host.	✓The configuration above is read-only. Adding the `--allow-write` flag lets the server create, update, patch, and delete EKS/Kubernetes resources (including creating clusters via CloudFormation) and `--allow-sensitive-data-access` exposes logs and events; enable these only deliberately. This server acts on real infrastructure with your AWS credentials; scope the profile to the intended account, region, and clusters, and prefer non-production targets while evaluating it. Run it only on a trusted host, and review any generated manifests or CloudFormation actions before applying them.	✓Resource creation/deletion is gated by the `--allow-resource-creation` flag (default off); without it, create/delete tools are hidden. Enable it only deliberately, and grant `AmazonSNSFullAccess`/`AmazonSQSFullAccess` only when you intend mutations. The server tags resources it creates and will only modify resources carrying that tag, which prevents it from changing pre-existing topics/queues it did not create. This server acts on real messaging infrastructure with your AWS credentials; scope the profile to the intended account and region and run it only on a trusted host.
Privacy notes	✓Place queries, coordinates, addresses, and waypoints you ask about are sent to Amazon Location Service using your configured credentials. Returned place details, addresses, and route geometry are exposed to the model; keep account identifiers and credentials out of public prompts, issues, and screenshots.	✓Cluster, service, task, task-definition, and ECR metadata plus account/region identifiers can be returned through tool calls and exposed to the model. With sensitive-data access enabled, logs and deployment details may be returned; keep account identifiers, credentials, and log contents out of public prompts, issues, and screenshots.	✓Cluster state, resource manifests, ARNs, and account/region metadata can be returned through tool calls and exposed to the model. With sensitive-data access enabled, pod logs and Kubernetes events may be returned; keep account identifiers, credentials, and log contents out of public prompts, issues, and screenshots.	✓Topic/queue names, ARNs, subscription details, and account/region metadata can be returned through tool calls and exposed to the model. Message send/receive tools can read and write message payloads; keep sensitive message contents, account identifiers, and credentials out of public prompts, issues, and screenshots.
Prerequisites	An AWS account with Amazon Location Service enabled in your chosen region. Python 3.10 or newer and `uv` / `uvx` installed (Astral) to run the package. AWS credentials configured locally (for example via `aws configure` or `AWS_PROFILE`) with permissions for Amazon Location Service place and route APIs. An MCP client that supports stdio servers; the server runs locally on the same host as the client.	An AWS account with Amazon ECS/ECR and permissions to view (and, if enabled, deploy) the target resources. Docker or Finch for containerization and local image builds. Python 3.10 or newer and `uv` / `uvx` installed (Astral) to run the package. AWS credentials configured locally (for example via `aws configure` or `AWS_PROFILE`) scoped to the intended account, region, and resources.	An AWS account with Amazon EKS and permissions to view (and, if enabled, manage) the target clusters. Python 3.10 or newer and `uv` / `uvx` installed (Astral) to run the package. AWS credentials configured locally (for example via `aws configure` or `AWS_PROFILE`) scoped to the intended account, region, and clusters. An MCP client that supports stdio servers; the server runs locally on the same host as the client.	An AWS account with Amazon SNS and SQS, and permissions for the topics/queues you intend to inspect or manage. Python 3.10 or newer and `uv` / `uvx` installed (Astral) to run the package. AWS credentials configured locally (for example via `aws configure` or `AWS_PROFILE`); AWS recommends a least-privilege role with `AmazonSNSReadOnlyAccess` and `AmazonSQSReadOnlyAccess`. An MCP client that supports stdio servers; the server runs locally on the same host as the client.
Install	uvx awslabs.aws-location-mcp-server@latest Copy install	uvx --from awslabs-ecs-mcp-server ecs-mcp-server Copy install	uvx awslabs.eks-mcp-server@latest Copy install	uvx awslabs.amazon-sns-sqs-mcp-server@latest Copy install
Config	{ "mcpServers": { "awslabs.aws-location-mcp-server": { "command": "uvx", "args": ["awslabs.aws-location-mcp-server@latest"], "env": { "AWS_PROFILE": "${AWS_PROFILE}", "AWS_REGION": "us-east-1", "FASTMCP_LOG_LEVEL": "ERROR" }, "type": "stdio" } } } Copy config	{ "mcpServers": { "awslabs.ecs-mcp-server": { "command": "uvx", "args": ["--from", "awslabs-ecs-mcp-server", "ecs-mcp-server"], "env": { "AWS_PROFILE": "${AWS_PROFILE}", "AWS_REGION": "us-east-1", "FASTMCP_LOG_LEVEL": "ERROR", "ALLOW_WRITE": "false", "ALLOW_SENSITIVE_DATA": "false" }, "type": "stdio" } } } Copy config	{ "mcpServers": { "awslabs.eks-mcp-server": { "command": "uvx", "args": ["awslabs.eks-mcp-server@latest"], "env": { "AWS_PROFILE": "${AWS_PROFILE}", "AWS_REGION": "us-east-1", "FASTMCP_LOG_LEVEL": "ERROR" }, "type": "stdio" } } } Copy config	{ "mcpServers": { "awslabs.amazon-sns-sqs-mcp-server": { "command": "uvx", "args": ["awslabs.amazon-sns-sqs-mcp-server@latest"], "env": { "AWS_PROFILE": "${AWS_PROFILE}", "AWS_REGION": "us-east-1", "FASTMCP_LOG_LEVEL": "ERROR" }, "type": "stdio" } } } Copy config
Citations	Source repositorygithub.com 2026-06-22T23:55:05-07:00 Documentationgithub.com Websiteawslabs.github.io Submitted by jaso0n08182026-06-21 Source methodology →	Source repositorygithub.com 2026-06-22T23:55:05-07:00 Documentationgithub.com Submitted by jaso0n08182026-06-21 Source methodology →	Source repositorygithub.com 2026-06-22T23:55:05-07:00 Documentationgithub.com Submitted by jaso0n08182026-06-21 Source methodology →	Source repositorygithub.com 2026-06-22T23:55:05-07:00 Documentationgithub.com Submitted by jaso0n08182026-06-21 Source methodology →
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