"Sentry" matching MCP servers:

A remote Model Context Protocol server acting as middleware to the Sentry API, allowing AI assistants like Claude to access Sentry data and functionality through natural language interfaces.

An intelligent MCP server for QA automation that enables AI agents to perform stateful API testing by converting Postman collections into MCP tools, with automatic authentication, session-based state management, and transparent error handling.

A Model Context Protocol server that enables AI assistants to interact with Sentry for error tracking and monitoring, allowing retrieval and analysis of error data, project management, and performance monitoring through the Sentry API.

A TypeScript server that allows AI agents to access, retrieve, and analyze Sentry error data through the Modern Context Protocol.

A modular MCP server for analyzing PCAP files using protocol-specific analysis tools, enabling LLMs to read and analyze network packet captures from local paths or remote URLs.

Enables natural language time tracking and reporting for Harvest, including automatic leave requests, project/task matching, and date parsing.

A single MCP gateway that lets every agent and login on your machines reach services like Notion, Sentry, Cloudflare, Gmail and Google Calendar after signing in once, with per-agent tokens. Calls that reach other people or can't be undone wait for approval first, and every call is logged.

Enables AI agents to query NASA/JPL data on asteroids and comets, including small-body orbits and physical parameters, near-Earth close approaches, Sentry impact-risk assessments, and recent atmospheric fireballs. All four tools are keyless and work over a hosted gateway endpoint or a local stdio server.

A minimal FastAPI-based MCP server that provides basic utility tools like ping and time functions. Designed for easy deployment with Docker support, authentication, and extensible architecture for future tool additions.