"A knowledge base resource" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
Your team's stories, acceptance criteria, designs and docs, for coding agents. Sign in with OAuth.
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.
One shared project for a team's coding agents: decisions, a task board and handoffs.
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.
One hosted MCP server for the whole Dutify suite: project management (tasks, sprints, views, custom fields), Dutify Hub call recordings, transcripts and Lens chat, Codexum wiki pages, and Roadmarq feature requests and bugs. Auth: X-API-Key header with a Dutify personal key (du_live_...). Docs: https://github.com/dutifyai/dutify-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.
Retasc is a work queue for AI coding agents. The next agent picks up where the last one stopped.
Field operations on a deterministic solver — run jobs, crews & fleet from Claude or ChatGPT.
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.
Read Twelfth workspace products, sales, inventory, suppliers, pricing, projects and actions.
Tasks, comments, start and finish work, and time tracking in devBoard, a small-team tracker.
A 361-step SaaS launch plan and 958 backlink sources as tools an agent reads, acts on and records.
Run a recreational sports league from an AI assistant: standings, schedules, rosters, scores, dues.
QuipAssist's MCP server lets an assistant look up equipment, repairs, work orders, maintenance schedules, parts, vendors, IoT readings and reports across the sites a user can access. With write access it drafts repair, maintenance and parts changes, which wait for human review by default. An agent can never dispatch work, sign off safety steps, approve spending or send messages.
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.
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.
Reads what was agreed and answers whether a new request is Included, citing only confirmed lines.
Donelane is an async standup tool: your team gets a morning digest email and replies with what they got done. This MCP server puts your agents in that same loop. Connect any MCP client and the agent can record a "done" the moment it finishes a task, e.g. "Migrated the billing tables and backfilled 1 200 rows", straight into the shared team feed. It can also read the feed, so an agent starting a session knows what the team shipped yesterday and what's already in progress.
