Read-only Amazon SES observability: search events, inspect bounces, pull delivery stats.
Read-only Amazon SES observability: search events, inspect bounces, pull delivery stats. Exposed over MCP by the sessy — amazon ses observability mcp server, that capability becomes something an assistant can invoke while it works, not something you go and do afterwards.
Open-source email observability for AWS SES by Marc Köhlbrugge.
Amazon SES is a fantastic email service: cost-effective, reliable, and great deliverability. But it's frustratingly difficult to see what's actually happening with your emails.
You will need one environment variable: YOUR_API_KEY. The server will not start without them, which is usually why the tools fail to appear on a first run. Keep credentials in your client's env block or a secrets manager rather than in a file you might commit.
Being a remote server, there is no local install. You register the endpoint with your client, authorise it once, and the tools appear.
This sits in the monitoring and observability group, where several servers overlap in what they claim to do but differ sharply once you actually set them up. It is maintained by marckohlbrugge; worth a glance at recent repository activity before you build anything load-bearing on it.
We check each listing at SyncDev against the project's documentation before it goes live — if something here drifts out of date, it is a bug worth reporting.
| Variable | Description | Required |
|---|---|---|
| YOUR_API_KEY | Credential the server authenticates with. | Yes |
Give your coding agent the full DevTools toolbox: traces, network, console, heap snapshots and Lighthouse.
Dashboards, Prometheus and Loki queries, incidents and alerts — observability by conversation.
Errors with full context — stack traces, issue triage and AI-powered root-cause analysis from Sentry's server.
Enables enhanced web research capabilities for large language models through intelligent search queuing and advanced content extraction.
Automates browser interactions and enables Large Language Models (LLMs) to interact with web pages through Playwright and Chrome DevTools Protocol
Guides tool usage by providing recommendations for MCP tools at each problem-solving stage.