"Debugging WebRTC SDK Implementation Issues in Visual Studio 2019" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
Frostbyte is a product planning workspace for founders and small teams who build software with AI coding agents like Claude Code and Codex. It keeps tasks, releases, ideas, user feedback and decisions in one plan. What's Next ranks what to work on, Project Health shows whether the release is on track, and your agent connects over MCP to read the plan and write progress, notes and decisions back.
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.
Staff shift scheduler you run from a chat. Tell Claude who works for you and what each day needs: Stratum Shifts fills the week fairly within each person's availability and hour limits, flags every clash (double bookings, time off, rest between shifts, roles, overtime), finds cover when someone calls in sick, and publishes one link for your team. Free for 1 workplace and up to 10 active staff; Team is US$12 a month flat, not per user.
Project tracker for teams working with AI agents: issues, cycles, docs and shared agent memory.
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.
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.
Pick up where you left off: your project's progress, decisions and notes, kept in your own storage.
IncidentVault's operational MCP endpoint gives an assistant an incident dashboard, record review, follow-up creation, task edits and incident intake. It returns IDs, status, priority, dates and location IDs only; names, narratives, medical details and attachments are excluded. Write scopes are opt-in and role and location limits apply on every call.
Turn calls and notes into process flow diagrams in Claude, ChatGPT, VS Code, Cursor, and Teams.
MCP server that enables AI assistants like Claude and ChatGPT to retrieve event data and execute event management operations in Nunify event platform.
Turn AI chats into xTiles projects, notes and tasks, and pull projects back in.
Jobs, quotes, invoices and schedule in Tradify.
Ask your website analytics in plain language and set up funnels, features and dashboards.
Projects, estimates, daily logs and invoices in Contractor Foreman.
Plan apps in build order: list ventures and ready features, add ideas, read build plans.
Review your AI agents' work in minutes, not hours of chat. Approve it or send it back.
Privacy-first classroom screen for teachers (grades 1-13): timers, noise meter, group maker, random name picker, lesson flow, polls, individual learning packages for differentiated support, kanban task board, calendar, parent overview and Churer Modell learning landscapes. Every action is available via MCP - build classroom screens, set timers, sort groups, create learning packages, turn info emails into tasks. No student accounts, no tracking, hosted in Germany.
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.
Work orders, PM schedules, assets, capital plans and infrastructure in AssetLab CMMS/EAM.
ClientFoyer is a client portal for freelancers and boutique studios (project updates, files, invoices, and Stripe payments behind one client link, no client login). Its built-in MCP server lets an AI agent do the portal busywork on the freelancer's behalf: list and create projects, post status updates, upload deliverables, read the client portal link and exactly what the client sees, list invoices, files, and testimonials, and manage Agent Push webhook subscriptions for project events.
Issue board for teams: find, create and move issues, run sprints, comment and keep project docs.
Tasks, comments, start and finish work, and time tracking in devBoard, a small-team tracker.
Read OKRs, submit key-result check-ins, and generate progress reports in Leemu.
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.
Create and manage test cases, test runs and results in Testiny from your AI assistant.
Project management for AI agents: tasks, docs, decisions and time in one shared team context.
Manage tasks, projects, areas and tags in Done Bear from MCP-compatible AI clients. Uses OAuth and supports read and write task workflows.
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.
