"How to view or understand console logs in programming" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
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
Retasc is a work queue for AI coding agents that Claude Code, Codex, Cursor and other MCP clients pull from when you have several agents to coordinate. Two agents can never hold the same issue. A claim is one server transaction. `next_issue` claims the highest effective-priority issue that is unblocked and unclaimed. When the CLI sees a dirty worktree or a commit from the last 24 hours on an unclaimed issue's branch, Retasc holds it out of dispatch for 60 minutes so a second agent does not start the same work. A claim replaces the hold. Two of your agents try to file the same bug. Retasc refuses a create that looks like open work and names the look-alikes. The check uses issue IDs mentioned in the new title or body and rare words shared with open issue titles in the project. The agent comments on or claims the existing issue, or re-files naming the issues it read. Blocked work is never handed out. Every issue an agent creates must declare what it is blocked by, or state in one line why it depends on nothing. Closing a blocker frees its dependents. A chore blocking an urgent feature jumps the queue. You get a message on Slack, Discord, Telegram or email when your issue's last open blocker closes. Rate limits, closed laptops and stalled sessions can stop your agent. The Retasc CLI renews each 30-minute lease every 10 minutes without involving the model. When renewals stop, the issue returns to the queue in its owner's lane. That person's next agent, on any runtime, resumes from the checkpoint of what's done, what's next and the gotchas. If nobody returns for 7 days, it rejoins the shared pool. Work waiting for review jumps the queue. Retasc requires a note naming the branch, PR or commit unless the agent already left a checkpoint. A different person's agent gets the note. Whoever sent the work to review cannot claim or accept its review. Review ranks at least High immediately, Urgent at 21.6 hours and above everything after 24 hours. GitHub and GitLab issues reach Retasc through verified webhooks. No agent gets a synced issue until a member approves its exact text. A source edit voids the approval. The Dash lists every agent, its runtime, the issue it holds and the minutes left on its lease. `npx @retasc/cli@latest bind` wires MCP for Claude Code, Codex, Cursor, OpenCode, Gemini CLI, Grok and Pi. Your folder gets an agent key after browser approval if you're signed out. Start or restart your agent there to pull work. Billing is per action, with no seats. Members are free and unlimited. A new org gets $10 of usage at signup, no card.
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.
Create and manage test cases, test runs and results in Testiny from your AI assistant.
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.
Work orders, PM schedules, assets, capital plans and infrastructure in AssetLab CMMS/EAM.
Read your practical Afterglow checklists and save confirmed task progress in your linked account.
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.
Connects AI assistants to TrackingTime for querying time entries, projects, tasks, customers, and team data using natural language.
Project management for AI agents: tasks, docs, decisions and time in one shared team context.
Connect AI agents to Suggix to manage feedback, roadmap items, changelogs, and users.
Start with plan_clip_job to plan authorized social-video work and route complex media when needed.
Workshop agendas your AI can work in - every time recalculates itself.
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.
AI-driven daily-focus todo app on your phone (max 3/day). View & add todos from any MCP client.
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.
One board for every AI you use: agents claim tasks and finish with proof you accept or return.
Manage tasks, projects, areas and tags in Done Bear from MCP-compatible AI clients. Uses OAuth and supports read and write task workflows.
Shared memory for coding agents and their teams: project docs with semantic search, plus epics, tasks, open questions and decisions your agent reads and writes over MCP. Teammates and their agents share the same board. Deploy and permanent delete stay human-only and are enforced by the server. Free tier, no card. Setup: https://app.bilgai.com/docs/connect — API key (blg_) as Bearer or OAuth. Issues: https://github.com/volkansuner/bilg-feedback
