"Finding MCP servers that support SSE or Streamable HTTP, excluding stdio transport" matching MCP servers:

stateless MCP server — fresh instance per request, infinite horizontal scaling

A read-only MCP server exposing SLURM, GPFS, Prometheus (node exporter + DCGM GPU metrics) and generic Elasticsearch exploration as diagnostic tools for LLM-based HPC support assistants.

A Model Context Protocol server that lets AI assistants interact with the Sentry API to retrieve and analyze error data, manage projects, and monitor application performance.

Connects AI assistants to live VuNet observability data, allowing querying metrics, browsing data models, and checking connection status.

An MCP server for PostgreSQL with index tuning, explain plans, health checks, and safe SQL execution.

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.

Enables coding agents to read performance findings from sixty, get detailed evidence for each finding, and close or resolve them with descriptions, while also checking service telemetry and providing installation instructions.

Uptime monitoring from your AI agent: create and diagnose checks (40 types: HTTP, TCP, DNS, SSL, ICMP, databases, message queues and more), read results and incidents, and manage status pages and maintenance windows. Built into the self-hostable SolidPing server, served over streamable HTTP at /api/v1/mcp.

An MCP server for Grafana Loki that enables LLMs to query, tail, and analyze logs, featuring fuzzy container-name matching, compact output, and tools for log patterns, volume, and label discovery. It can run as a local stdio server or a containerized HTTP service.

Self-hostable uptime monitoring with an MCP server for managing monitors, incidents, and status pages. Runs with Docker and Postgres, with Streamable HTTP, OAuth, and API key authentication.

Enables agents to interact with a GlitchTip instance for issues, events, projects, releases, alerts, uptime monitors, performance, and more via stdio or HTTP.

RSigma is a Rust detection-engineering toolkit for the Sigma standard. Its MCP server (rsigma mcp serve) exposes the toolchain to AI agents over stdio or Streamable HTTP, with tools to author, lint, validate, and convert Sigma rules, evaluate and explain detections against log events, and inspect correlation state.

An MCP server with bearer token authentication implementing tools, resources, and prompts for a mock developer platform API, supporting both stdio and Streamable HTTP transports.

A production-ready TypeScript template for building MCP servers with dual transport support (stdio/HTTP), OAuth 2.1 foundations, SQLite caching, observability, and security features including PII sanitization and rate limiting.

An MCP server that enables coding agents to log their work, decisions, test runs, PRs, and progress as structured events, either to a local JSONL file or an HTTP endpoint.

Official initMAX MCP server exposing the Zabbix API to AI assistants for monitoring and managing hosts, problems, templates, dashboards, and multiple Zabbix instances. Includes correlated monitoring views, graphs, anomaly detection, capacity forecasts, and PDF reports, with scoped tokens, read-only modes, OAuth 2.1, and an admin portal. Supports Streamable HTTP, SSE, and stdio.

Enables endpoint availability monitoring and HTTP health checks for single or multiple URLs.

MCP production gateway — Streamable HTTP proxy to stdio/HTTP backends with API-key auth, per-key rate limiting, TTL cache, per-backend circuit breaker, Prometheus metrics.

Read-only Proxmox VE MCP server providing 25 tools for VM, LXC, node, storage, and cluster inspection via stdio transport.

Enables authenticated clients to discover and call tools for scoped file listing/searching, request client-side LLM sampling, and receive real-time progress/log notifications over stdio or secure Streamable HTTP, with tenant/user workspace isolation and a loopback browser dashboard.

Enables read-only visibility into Slide backup/BDR resources—accounts, agents, devices, networks, backups, snapshots, and restores—for AI assistants, while excluding secret-bearing fields and mutating operations.

Model Context Protocol server for managing and diagnosing GlassFlow streaming pipelines, exposing pipeline CRUD, metrics queries, log search, and a composite diagnostic tool as MCP tools that AI agents can call over SSE transport.

Official Hyperping MCP server for uptime, API, cron and server monitoring. 26 tools covering monitors, outages and timelines, uptime, response time, MTTR and MTTA, on-call schedules and escalation policies, over a remote Streamable HTTP endpoint with Bearer token auth and no install.

Model Context Protocol server for Parseable that lets MCP-capable clients discover, query, and manage Parseable datasets and alerts using natural language. Supports both stdio and HTTP transports.

MCP server that enables AI assistants to query and analyze Prometheus metrics through PromQL, with support for metric discovery and authentication.

Enables local or HTTP-based MCP interactions with a mock SAP Cloud ALM environment, enforcing read/write capability separation and fail-closed security policies for future SAP Cloud ALM connectivity.

Enables MCP clients to call a hello tool and access observability features, including metrics and request traces, through a Streamable HTTP transport with SQLite-backed storage.

Fronts many downstream MCP servers through one session, presenting a unified tool namespace with collision resolution, fleet-wide allow/deny/hide policy, per-tool rate limits, centralized audit logging, Prometheus metrics, and bearer-key auth at the edge. Supports both stdio drop-in and Streamable HTTP deployment so agents point at a single endpoint instead of N servers.

Exposes eight MCP tools over streamable HTTP that let clients ingest alerts, list and diagnose incidents, analyze Terraform plan risk, propose remediations, and dry-run or execute policy-validated, approval-gated changes with automatic rollback.

Enables AI agents to query an MSP's network monitoring data — tenants, discovered devices, networks, interfaces, configuration backups, alerts, performance statistics and billing usage — through multi-tenant, stateless Streamable HTTP with credentials supplied per request. Read-only by default, with optional alert dismissal and raw API access for changes.