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Showing 481–504 of 861 for Unified MCP Client Library

Zammad

A powerful, production-ready Model Context Protocol (MCP) server for Zammad - the open-source helpdesk and ticket system.

devrecall

Local-first developer activity aggregator — Git, PRs, Jira, Confluence, Slack, Calendar — exposed as an MCP server so coding agents can search and cite past…

Retasc

The issue tracker AI coding agents pull work from: atomic claims, dependency-aware dispatch, leases, and cross-runtime handoffs. Remote MCP, 33 tools.

Cairn

About A repo-native task graph as plain Markdown files, served to AI agents over MCP and to humans over a clean web UI .

TaskerArmy Agent

Ask Claude or ChatGPT what Shopify theme optimization tasks are pending on your store — a remote MCP server for TaskerArmy Agent accounts.

AgentBay

Persistent memory, teams, and projects for AI agents. 76 MCP tools for storing, recalling, and sharing knowledge across sessions.

WayStation

A universal remote MCP server that connects to popular productivity tools such as Notion, Monday, AirTable, and many more.

FoundersOS

FoundersOS - CRM, tasks, finances, feeds, and memory for founders, as an MCP server.

Strateegia

Provides a bridge to the Strateegia API, enabling quick retrieval of project workspace details through a single tool for listing projects and integrating…

Dida365 (TickTick)

Integrates with Dida365 (TickTick) task management API to create, update, retrieve, and delete tasks and projects after user authorization.

JIRA

Provides a bridge to Atlassian JIRA for retrieving issue details by key using TypeScript and JSON-RPC requests over stdio transport.

Buildable

Official MCP server for Buildable AI-powered development platform. Enables AI assistants to manage tasks, track progress, get project context, and collaborate…

Granoflow

Granoflow helps people plan and review work tasks, capture lessons from completed work, and turn durable insights into review cards for spaced practice. This…

Saga

A Jira-like project tracker MCP server for AI agents. SQLite-backed, per-project scoped, with full hierarchy and activity logging — so LLMs never lose track.