What is the purpose of this server?
It provides an MCP interface for AI assistants to perform CloudWatch Logs operations like creating log groups, streams, and reading or writing log events.
@hyorimitsu
基本信息
A Model Context Protocol (MCP) server that enables AI assistants to interact with Amazon CloudWatch Logs through a standardized interface using AWS SDK.
Creates a new Amazon CloudWatch Logs log group
List and describe Amazon CloudWatch Logs log groups
Delete an Amazon CloudWatch Logs log group
Create a new log stream in an Amazon CloudWatch Logs log group
List and describe log streams in an Amazon CloudWatch Logs log group
Delete a log stream in an Amazon CloudWatch Logs log group
Write log events to a specified log stream in Amazon CloudWatch Logs
Retrieve log events from a specified log stream in Amazon CloudWatch Logs
Search log events with a pattern across log groups and streams in Amazon CloudWatch Logs
A Model Context Protocol server that provides tools for interacting with Amazon CloudWatch Logs via the AWS SDK. It enables AI assistants to manage CloudWatch logs through a standardized interface. Currently under active development and not yet production-ready.
Clone the repository, install dependencies with pnpm install, build with pnpm run build, then configure the server with your AWS credentials (region, access key, secret key) in your MCP client settings under the amazon-cloudwatch-logs server entry.
It provides an MCP interface for AI assistants to perform CloudWatch Logs operations like creating log groups, streams, and reading or writing log events.
Set environment variables `AWS_REGION`, `AWS_ACCESS_KEY_ID`, and `AWS_SECRET_ACCESS_KEY` in the MCP client configuration for the `amazon-cloudwatch-logs` server.
It supports nine tools: `create_log_group`, `describe_log_groups`, `delete_log_group`, `create_log_stream`, `describe_log_streams`, `delete_log_stream`, `put_log_events`, `get_log_events`, and `filter_log_events`.
No. The project is under active development and not yet ready for production use; features and APIs may change significantly before a stable release.
The server is designed to be extensible. You can create a new schema in `src/operations/schemas/`, implement the operation in `src/operations/`, add the tool definition to `src/handlers/tools/types.ts`, and list it in `src/handlers/tools/tools.ts`.

Verified cyber-physical AI tools. 25 MCP tools, x402-payable on Base.

Catch intent conflicts before code conflicts. The open-source coordination protocol for coding agents, built above Git.

Leadpages MCP is a remote MCP server available at https://mcp.leadpages.com.

Zyte MCP is a remote MCP server available at https://mcp.zyte.com/v1/mcp/, that lets an agent use Zyte on your behalf: to get web pages, to extract data from them, to search the web, and to work with your Scrapy Cloud pr

Turn Perfex CRM into an AI-ready workspace. This MCP server exposes your full REST API to Claude, ChatGPT and any AI agent, so leads, invoices and tasks are one prompt away.
评论