"Fetch - Understanding its Meaning or Uses" 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.
Review Senta clients, contacts and jobs, and update client records or add notes.
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.
Browse Paymo projects, tasks, timesheets and invoices, and create tasks, log time or run timers.
Context for coding agents: checks a GitHub or Linear issue is ready before your agent starts it.
Read Arthur properties, units and tenancies; track maintenance and add tasks or notes.
Read Bilflo clients, contract jobs, contractors and reports; update jobs, terminate or reopen them.
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.
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.
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.
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.
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.
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.
Field operations on a deterministic solver — run jobs, crews & fleet from Claude or ChatGPT.
Rule-based product method: scores an idea, finds its riskiest assumption, sequences the build.
Open your team's project from the AI you use: read and write its brief, documents, tasks and notes.
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.
