"List of Publicly Available SSE (Server-Sent Events) Servers" matching MCP servers:

MITM proxy MCP server that intercepts and verifies AI agent tool calls, detecting fabrication, tracking costs, verifying outcomes, and inferring user satisfaction.

Provides MCP tools to create and query SigNoz trace funnels, enabling agents to measure their own step conversion rates from within the agent loop.

Enables systematic investigation of VMware errors and events by correlating event timelines, ranking root-cause hypotheses, and suggesting next diagnostic steps.

An MCP server that enables natural language querying and troubleshooting of Kubernetes clusters, supporting multi-cluster switching and providing tools for pods, nodes, events, and logs.

A read-only MCP server for the Pirsch Analytics API that lets users list domains and query traffic, pages, events, and other analytics metrics through conversational agents.

Connect AI assistants to Sentry for error tracking, issues, releases, events, and project management through the Model Context Protocol. Provides tools to list organizations, projects, issues, events, releases, teams, and members, as well as get details and update issue status.

A read-only MCP server for Umami analytics, enabling natural language queries of website stats, traffic trends, events, sessions, and analytics reports.

Gives AI assistants access to F6 XDR alerts, incidents, emails, files, hosts, and audit logs via query-language search, with tools for counting records, inspecting available fields and filters, and marking events.

Enables centralized management and monitoring of multiple distributed worker MCP servers. Provides tools to list workers, get status of all workers, and query specific worker status.

Enables natural-language investigation of Datadog data including logs, metrics, monitors, traces, hosts, dashboards, events, and incidents, all through read-only API access.

An MCP server for searching and visualizing SolarWinds Observability logs, allowing users to query log data with filtering options and generate visual representations of log events over time.

Monitors development server logs in real-time and provides Claude with immediate error notifications via Server-Sent Events. Intelligently parses TypeScript, Svelte, and Vite errors with severity classification and file correlation.

An MCP proxy that forwards tool calls to your organisation's Sealgate gateway, enabling AI agents to list governed MCP servers and review agent sessions/audit events for AI data-leak prevention.

Enables assistants to list projects and issues, inspect events and stacktraces, and resolve errors across one or more self-hosted Sentry-compatible error trackers through an OAuth-protected Cloudflare Worker.

Enables administering VMware ESXi or vCenter hosts through MCP clients, exposing tools to authenticate, list, create, clone, power on and off, and delete virtual machines, and to retrieve VM performance statistics. Supports both native SSE and Streamable HTTP transports for integration with current MCP clients.

Connects AI assistants to a self-hosted workflow layer so they can create jobs, browse available work, claim tasks, update status, retrieve job details, share structured context, and record review or approval events through exposed tools and prompts.

Enables coding agents to read a unified, redacted timeline of Metro JS logs, Android logcat, iOS simulator, and iPhone logs, query incidents and patterns, mark and wait for events, and verify fixes over MCP.

Enables querying and managing Sentry projects, issues, and events through natural language.

Enables tracing of synthetic events through a toy Redis Streams + Postgres ingestion pipeline, answering questions about which events were dropped, duplicated, delayed, or are in flight, plus overall pipeline health. It also supports first-class fault injection and reconciles observed pipeline state against independently recorded producer ground truth to expose real loss or silent failures.

MCP server that filters Kubernetes warning/failure events and presents them to AI assistants for diagnostics. Enables AI to identify and troubleshoot cluster issues without consuming context on normal events.

Read-only MCP server for one Docker host: list containers, inspect (without env vars), logs with time windows and search, stats and events. Cannot start, stop, remove or exec.

A TypeScript implementation of a Model Context Protocol server that connects to Sentry error tracking service, allowing AI models to query and analyze error reports and events.

Read-only MCP bridge exposing Hermes gateway monitoring tools (status, mission control, channels, approvals) to ChatGPT via HTTP/SSE.

MCP server to access the Zabbix API, providing tools to list hosts, problems, triggers, items, history, and events.

Enables running and learning from a production-shaped MCP server that exposes ticket-desk operations, server administration, timers, events, and schema-driven queries across stdio, SSE, and Streamable HTTP with configurable auth, rate limiting, and observability.

Provides cryptographically signed, tamper-evident compute usage receipts via a Model Context Protocol server, exposing tools to record usage, verify receipts, list the ledger, and verify ledger integrity without requiring any account, API key, or single cloud provider.

Enables classification of GPU workloads as training, inference, or idle from telemetry data, with tools for one-shot classification, benchmarking, and audit log verification.

MCP server exposing rlg (RustLogs) log files as tools for on-call / SRE agent workflows. Three tools over JSON-RPC stdio — tail_log (last N events, filtered by level/target), filter_log (predicate filtering), summarize_errors (grouped error taxonomy). Pure Rust. MIT OR Apache-2.0.

Unofficial MCP server for Vexo analytics. Enables querying event names, counts, timelines, sessions, and recent events from Vexo Export API through natural language.

A read-only MCP server that exposes local coding-agent session logs as three tools for introspection of recent work, debugging tool failures, and tracking token usage and estimated cost without parsing log files.