"Non-Docker Implementation of Jira with MCP" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
Liliphant joins your meetings and remembers the work across all of them. Most tools stop at one transcript. Liliphant connects every conversation, so you can ask what was decided, who promised what, what changed since the first meeting, or what's still blocked. Every answer comes with the exact quote, the speaker and the meeting it came from, and if something is unclear, Liliphant tells you. Open promises and unanswered questions stay in view until someone marks them done.
AI-native task management: list, create, update and archive tasks with rich context for AI agents
Edworking tasks, Docs, workspace search, conversations and files with scoped OAuth access.
Business days, meeting overlap and recurrence expansion, deterministic. 3 of 5 tools free.
Project tracker for teams working with AI agents: issues, cycles, docs and shared agent memory.
Read-only UteamUP CMMS connector for finding assets and work orders and viewing asset details through five tools. Sign in with OAuth; access follows your company permissions.
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.
One board for every AI you use: agents claim tasks and finish with proof you accept or return.
CheckFlow’s own MCP server. Ask your AI assistant to start checklists, complete tasks, fill in fields, build templates from written procedures and update Data Sets in CheckFlow. Sign in with your CheckFlow account, or use an API key.
Your team's stories, acceptance criteria, designs and docs, for coding agents. Sign in with OAuth.
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.
SmartShifts' MCP server gives an assistant scheduling, time-off and task tools for multi-location businesses such as restaurants. Find staffing gaps, check team availability, request or approve time off, and complete tasks. Every action runs with the user's own role and location permissions, changes wait for approval by default, and sensitive personal fields are left out.
Turn a list of interests into a day-by-day plan for 3 to 7 days, with checkbox text for a todo app.
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.
Organize group events, braais, and potlucks with live item checklists and guest coordination.
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
Review your AI agents' work in minutes, not hours of chat. Approve it or send it back.
Kanban tasks and project notes for AI clients, with OAuth and per-project read or write grants.
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
RetailHardHat's MCP server lets an assistant work with an organization's retail sites, projects, budgets, bids, permits and field work, including an interactive operations dashboard. An organization admin grants modules and read-only or guarded-write access; sensitive writes need human review by default.
Plan custom software with The2410: fit check, budget, timeline, inquiry and consultation booking.
Cross-domain census of approved-but-not-completed work, by cause and type.
Review construction plan takeoffs and download reviewed estimates with Portravo account linking.
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.
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 board where people and AI assistants are members with roles. Every change is signed.
Deterministic date arithmetic with auditable receipts: business days, due dates, holidays.
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.
Kaiku is an issue tracker with a wiki, built so that people and AI agents work in the same place. Its hosted MCP server lets an agent search, read, file and update issues, comment and answer questions, read and write wiki pages, and attach files — with the permissions of the person whose token it uses. Create a token in Settings → Connect over MCP and send it as Authorization: Bearer <token> (or in X-Api-Key); the token says which workspace.
