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

MCP server for Jira integration with stdio transport. Enables reading, writing, and managing Jira issues and projects directly from Claude Desktop. Supports issue creation, updates, comments, JQL search, and project management.

A local Model Context Protocol server (stdio) for Redmine that allows you to work with Redmine issues, projects, and time entries directly from your editor.

Enables agents to run support workflows across Gmail, Linear, Stripe, Slack, Notion and other apps — turning support email into tracked bugs with drafted replies, handling refunds end to end, and replying in-thread once issues are fixed.

A local MCP server for governed support-ticket triage that reads synthetic tickets and knowledge articles, prepares evidence-backed recommendations, and records local audit events.

An HTTP-based Model Context Protocol server for RiotPlan that exposes comprehensive planning tools, resources, and prompts for AI agents. It enables full plan lifecycle management, including ideation, shaping, execution tracking, and retrospective generation.

Enables AI agents to manage Linear issues, projects, teams, users, comments, and cycles through an optimized interface designed specifically for language models. Supports both local and remote deployment with OAuth authentication and batch operations.

Enables Cursor on your laptop to connect to an MCP server on EC2 via SSE/HTTPS to manage a task queue stored in Postgres, supporting task listing, status updates, and work prompt generation.

Enables AI agents to manage Linear workspace resources such as issues, projects, teams, cycles, and comments via Streamable HTTP MCP, with LLM-optimized tools and batch operations.

Enables the analysis of GitHub Pull Requests to extract metadata, commits, and code changes for structured AI insights. It also supports the optional creation of Notion pages to store and organize the resulting analysis.

A Model Context Protocol server that integrates with Atlassian's Jira and Confluence, enabling AI assistants to interact with these tools directly through features like issue management, page creation, and content search.

Universal MCP server for the Bitrix24 REST API, enabling full read and write access to CRM, tasks, calendar, disk, and more. Supports any MCP client with stdio or Streamable HTTP transport.

A Model Context Protocol (MCP) server that provides comprehensive Asana integration, enabling AI assistants like Claude to interact with Asana workspaces, projects, tasks, goals, portfolios, and more.

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 agents to create, manage, and track tasks within plans using Valkey as the persistence layer. Supports plan and task management with Markdown notes, status tracking, and prioritization through multiple transport protocols (SSE, Streamable HTTP, STDIO).

Enables task management with persistent SQLite storage, along with tools, resources, subscriptions, prompts, and completions over stdio or Streamable HTTP with per-user authentication.

Enables managing ZenTao users through MCP, including token retrieval, current user info, user listing, creation, update, and deletion, over stdio or Streamable HTTP.

Enables ZenTao user administration, including token retrieval, user queries, and user creation/update/delete, over stdio or Streamable HTTP transports.

Read-only MCP server for ProjectLibre .pod files that enables finding project files, summarizing Gantt charts, inspecting tasks, and analyzing schedules without opening ProjectLibre.

A standalone MCP server that exposes the ATimeLogger REST API to Claude Desktop/Code over stdio, enabling activity tracking (start/stop/pause/log), reports/history, and activity type management.

MCP server for logging and checking Jira Cloud worklogs from AI agents such as Claude Code, Claude Desktop, Cursor, or any MCP client that supports stdio.

MCP server and HTTP proxy for O!task API that enables managing tasks (get, update) through natural language.

A read-only MCP server that bridges AI assistants to SAP Cloud ALM, exposing read APIs through four intent-based tools. It runs locally over stdio or remotely over Streamable HTTP, and can be deployed to SAP BTP Cloud Foundry.

Enables AI agents to read and write Smartsheet data, with support for remote HTTP deployment to Microsoft 365 Copilot and Copilot Studio.

Enables AI agents to interact with issue, comment, document, and agent workflows through a simplified HTTP API, returning compact Markdown or file-based snapshots.

Enables AI agents to read and change jobs, job status, customers, quotes with line items, invoices, quote and invoice email, payments, and Scheduler bookings in an account by reusing the user's own signed-in Chrome session, with no official API keys needed. Ships read-only hints and confirmation prompts for tools that reach other people, and can be run over stdio or streamable HTTP.

MCP server enabling AI assistants to interact with Jira, scoped to a single project. Supports stdio and HTTP transports for issue management operations.

Stdio MCP server for QMS Wrapper that enables MCP-capable clients to manage tasks via HTTPS using a Personal Access Token.

Self-hosted task tracker and MCP server for AI coding agents. Append-only case files preserve decisions, failed attempts, questions, and check results across sessions. A live web board lets people track progress and answer agents. Runs locally in Docker and connects to Claude Code, Codex, Cursor, and other Streamable HTTP MCP clients. MIT licensed.

An MCP server for OpenProject that enables creating, updating, commenting on work packages, and logging time, plus read operations for projects, work packages, users, and activities. Zero-dependency, stdio transport.