"Model Context Protocol (MCP) Servers Repository" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
AI-native task management: list, create, update and archive tasks with rich context for AI agents
The Jam MCP server provides AI tools with instant bug context without manual prompting, enabling a streamlined workflow from bug identification to ticket creation and pull request generation without switching between tools.
Context for coding agents: checks a GitHub or Linear issue is ready before your agent starts it.
Connect AI agents to shared Spaces for context, sourced work, tasks, and runs.
Getting Things Done (GTD) board for AI agents: capture to Inbox, next actions by context, projects, waiting-for, someday/maybe. Remote Streamable HTTP server with OAuth 2.1 login (passwordless email code). 16 tools + 4 prompts. Setup guide: https://gtdbrain.com/connect?source=glama
Autonomous AI developers on your own infrastructure – as many as you need. Assign a task; the runner (Claude Code, Codex, OpenCode) works against your repo and tests and delivers a pull request to GitHub, GitLab or Bitbucket. Any model, your data stays with you.
Project management for AI agents: tasks, docs, decisions and time in one shared team context.
Read project context and manage tasks in MCPBinder, with access you control.
Hire specialists by the hour — search, schedule, and pay via MCP protocol.
Navisworks coordination and clash detection via APS — reports, viewpoints, model objects.
Low-context public task coordination for software agents.
Give AI assistants the context behind client website feedback. Read comments, screenshots, replies, element details, and developer briefs; organize priorities, update statuses, and export feedback from authorized projects. Coding agents with repository access can investigate issues and prepare fixes for review. Connect through Streamable HTTP and browser OAuth using a Simple Commenter account.
Ask Recruitee the recruiting-ops questions dashboards miss by connecting candidate search, opening offers, departments, locations, published roles, owner fields, custom fields, public applications, and talent-pool context. Find stale candidate pools, overdue stage work, hiring-manager and recruiter bottlenecks, department-level opening risk, public posting gaps, source patterns, and the owners behind blocked hiring work. No dashboard build. No SQL.
Flori is CRM and project management for freelancers, agencies and small teams. Its remote MCP server lets AI assistants retrieve permitted customer and project context, find tasks and documents, and save authorized updates. Task results can return for human review. The hosted endpoint uses Streamable HTTP and OAuth; users can limit access to read-only or one project. Flori works with your existing AI tools and also works without an AI connection.
Model Context Protocol server for todo.vu task management and time tracking.
Timeglass AI MCP connects AI timesheets and searchable work history to your AI assistant. Review time entries, explore meeting and project context, and update work records in plain language.
Official Edworking MCP endpoint for projects, tasks, conversations and files. Connect with scoped OAuth access to read workspace context and perform requested actions, with links back to Edworking.
Context-aware reminders that surface when your situation matches, not at a fixed time. 16 tools for reminders, context tags, delegated tasks, conflict checks and workload review. Needs an access token generated in the app.
Continuous improvement platform for software engineering teams. Its remote MCP server exposes team check-ins, improvements, and suggestions so AI assistants can read a team's continuous-improvement context and act on it.
A Model Context Protocol (MCP) application for automated GitHub PR analysis and issue management.…
Agents save, analyze and act on videos and links: transcripts, research, tasks, Ori.
Shared memory for your AI tools: tasks, notes and context every tool can read and write over MCP.
MCP server enabling AI agents to manage Bitrix24 features via standardized protocol
Ovanek MCP: Model Context Protocol server for Ovanek platform tools; writes are dry-run by default.
Your AI assistant reads today's one action to find customers, your context, and logs results.
Save and retrieve your chosen context, manage shared workspaces, and track project time.
Multi-agent coordination server — shared memory, kanban task management, inter-agent messaging, team workflows, and swarm orchestration. 50+ MCP tools, OAuth 2.1 auth, real-time SSE sync, Stripe billing, A2A protocol bridge, interactive MCP Apps, and protocol-level Tasks support.
Read-only personal context server for ORANO subscribers: list and search saved projects, read summaries, tasks, research and curated memory facts. Bearer auth with personal keys (scope orano:read), 240 calls/60 min budget. Streamable HTTP transport.
Threadminder gives your AI persistent context across every chat and session, so your AI always knows what's going on - where your projects stand, what's in progress, and what's next. No re-explaining. No starting from scratch. Just open Claude and keep going.
Read and write shared BitsWeave context, projects, tasks, and work sessions through MCP.
