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

Enables interaction with Jenkins servers through HTTP APIs, allowing users to list jobs, trigger builds, view logs, and manage configurations without requiring plugins or admin access.

MCP server providing 41 tools to manage Postman collections, environments, mocks, API specs, and workspaces via Streamable HTTP, SSE, or stdio.

MCP server for Zuul CI/CD with 25 tools for builds, pipelines, queue management (enqueue/dequeue/promote), infrastructure visibility, and autohold management. Supports stdio, HTTP, and SSE transports.

Enables AI clients to manage GitLab projects, merge requests, issues, pipelines, wiki, releases, tags, milestones, and repository operations via MCP over stdio, SSE, and Streamable HTTP. Supports personal access token and OAuth authentication plus read-only and modify permission modes.

Enables AI assistants to inspect and operate a Jenkins instance — discovering jobs, views, nodes, and plugins; reviewing build chains, parameters, last-build status, console output, test reports, and artifacts; and triggering builds, stopping runs, or answering pipeline inputs. It connects over stdio, SSE, or streamable HTTP with optional credentials, read-only mode, and a credential-free health endpoint.

Enables AI agents and MCP clients to manage projects, merge requests, issues, pipelines, wiki, releases, tags, milestones, and more through stdio, SSE, or Streamable HTTP with PAT/OAuth authentication.

Provides comprehensive access to Jira Cloud and Data Center instances for managing issues, epics, and attachments with AI-optimized data cleaning. It supports relationship tracking and dual transport modes via STDIO and Streamable HTTP.

Enables AI assistants to interact with Azure DevOps projects through natural language, supporting work items, repositories, pipelines, wikis, and more, with remote HTTP/SSE transport and OBO authentication.

Enables GitHub operations via MCP, providing tools for issues, pull requests, and Actions workflows through a Streamable HTTP transport.

Enables AI agents to manage Gatling load tests by uploading simulation jars, submitting tasks, checking status, retrieving logs, and aborting runs via MCP tools over streamable-http transport.

Enables AI assistants to interact with Jenkins servers through the Jenkins API, allowing them to browse items, nodes, views and plugins, inspect and control builds and queue items, retrieve artifacts, test reports and console output, submit pipeline inputs, and run Groovy scripts. Supports authenticated or anonymous access over stdio, SSE, and streamable-http transports with an optional read-only mode.

Enables AI assistants to securely interact with Jenkins through its API, exposing tools for inspecting items, nodes, views, queues, and builds, reading console output, test reports, and artifacts, managing plugins, and triggering, stopping, or approving pipeline builds, including executing Groovy scripts. Supports stdio, SSE, and streamable-HTTP transports with configurable authentication, SSL verification, and a read-only mode.

Enables management of Railway infrastructure through 17 tools for managing projects, services, deployments, environment variables, and domains. Supports both modern Streamable HTTP and legacy SSE transports.

Enables AI models to securely inspect and operate Jenkins through tools for jobs, builds, queue items, nodes, views, plugins, artifacts, pipeline inputs, and Groovy script execution. Supports stdio, SSE, and streamable-HTTP transports with configurable authentication and a read-only mode.

Supply-chain gate for AI agent skills and MCP servers: poison-scan tool definitions, hash-pin the vetted set into a lock file and verify drift in CI. truecopy-mcp is a drop-in stdio proxy that filters a live server's tools/list down to its pinned, unmodified, unpoisoned tools.

Enables AI agents to deploy static files and get live HTTPS URLs instantly, with support for custom domains and data residency.

Uptime monitoring your AI agent can set up: create HTTP, SSL, ping, TCP and DNS monitors checked from multiple regions, run checks on demand, read and acknowledge incidents, manage cron heartbeats, maintenance windows and status page updates.

Enables AI coding tools to validate local projects and publish or update applications to Bedengan App Hub via API, with automated checks and live deployment without manual approval.

Enables AI clients to assess infrastructure-as-code deployment risk, generate incident response runbooks, review CI/CD delivery readiness, and calculate SLO error budgets through structured advisory tools. Runs locally over stdio without cloud credentials or external API calls, returning guidance for platform work, pull request review, and production readiness checks.

Detects breaking changes in a TypeScript library's public API and recommends the semver bump, comparing two npm releases, git refs or a working tree. Each finding is graded proven or review-only.

MCP server (stdio, Python standard library only) with tools would_tag, check_versions, explain_label and compare: before an agent creates a release tag, would_tag answers whether that version label already names different code in the repository's git tags. Server at integrations/mcp/closure_drift_mcp.py.

A Model Context Protocol server that monitors shadow-cljs builds and provides real-time build status updates for ClojureScript projects, allowing LLMs to verify build status after making code changes.

Deploys and manages projects on Swigs Cloud from any MCP client, turning folders or git repositories into live HTTPS sites in about two minutes.

A Model Context Protocol server that enables AI assistants to interact with Azure DevOps services, allowing users to query work items with plans to support creating/updating items, managing pipelines, handling pull requests, and administering sprints and branch policies.

Model Context Protocol (MCP) server for GitLab — exposes 1006 GitLab REST & GraphQL API operations as MCP tools (42 meta-tools / 57 enterprise), 24 resources, 38 prompts, and 17 completion types for AI assistants. Written in Go, single static binary, stdio and HTTP transport.

A reference MCP server for observing Vercel projects and deployments over stdio. It provides read-only tools to list and fetch details of Vercel projects and deployments.

Publishes what an AI made — a page, a markdown or PDF doc, or a whole site — to a live HTTPS link. Runs locally over stdio from the @drop2run/mcp npm package, or hosted at https://mcp.dropto.run/mcp for chats that connect by URL.

An MCP server that enforces disciplined Git workflows by planning coding tasks into small, test-gated commits, ensuring tests pass before staging and preventing out-of-scope or oversized changes.

Lets any MCP-capable client connect to the public Codemagic REST API to list apps and teams, inspect build history, and optionally trigger or cancel builds and manage team settings. Runs locally over stdio with the user's own API token and configurable read-only, build, or administrative permission modes.

Checks whether software dependencies (npm packages, GitHub Actions, MCP servers, Docker images) are alive, dormant, abandoned, archived, or deleted using dated observations from lastseen.dev.