"How to create draft emails using Gmail's support agent class" matching MCP connectors:
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Context for coding agents: checks a GitHub or Linear issue is ready before your agent starts it.
Connect Claude, ChatGPT, Cursor or your own app to Workspace369: clients and pipeline, proposals, e-sign contracts, invoices and payments, projects, tasks, time tracking and calendar. Build a custom CRM on it with any AI coding agent. Anything sent to a client waits for your approval.
Turn a list of interests into a day-by-day plan for 3 to 7 days, with checkbox text for a todo app.
Human-agent interface for projects: you prioritize and decide, your AI agents execute. Over MCP.
Turn your AI assistant into your content partner. Bardiyah connects ChatGPT, Claude and any MCP client to your own ideas, projects and video scripts, so it can search your work, turn an idea into a full script card by card, and keep every video moving from idea to publish. Built Arabic first, works fully in Arabic and English. Secure OAuth sign in, no delete actions, your data stays yours.
Shared pads, chat and tasks for your team and their agents. Any agent can join.
Retasc is a work queue for AI coding agents. The next agent picks up where the last one stopped.
AI-native task management: list, create, update and archive tasks with rich context for AI agents
Connect Claude, ChatGPT, Cursor or any MCP client to Ybug. Read bug reports with screenshots, console logs and network requests, then triage them in chat.
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
Coding agents are fast, but they forget the plan when a session ends. Pizza Developer keeps it for them. You write down Ideas. Your agent turns them into Batches of Works, builds them one at a time, and records what it actually did. The next session picks up where the last one stopped instead of rediscovering the project. You stay in charge of how the work happens. Instructions tell the agent how you want things built. Workflows set the route each kind of request takes. Rules refuse a write that breaks them. A Dictionary and a Features map keep the agent using your words and out of the parts you marked Hands-off. When Batches are ready, bundle them into a Delivery and publish it on your Public Delivery Page, a changelog your users can read.
Issue board for teams: find, create and move issues, run sprints, comment and keep project docs.
Meters agent-fleet acceptance capacity per operator and triages what lands.
Rule-based product method: scores an idea, finds its riskiest assumption, sequences the build.
A 361-step SaaS launch plan and 958 backlink sources as tools an agent reads, acts on and records.
Tasks that outlive the chat. Capture features and tasks on your phone; your AI agent picks them up.
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.
Create and manage test cases, test runs and results in Testiny from your AI assistant.
Create, share and track client-facing proposals, project updates and decision briefs from selected AI work. Publish stable links with controlled reader access and view visits and approximate reading activity. Connect through an OAuth-authenticated remote MCP server.
Sessionario is a workshop and training planner for facilitators. Connect it to your AI and the assistant can read your session, add and rewrite modules, move things around, and let all the times recalculate themselves. One tool is marked destructive: inviting a person sends an email you cannot recall. Nothing in this server deletes anything.