"GPT-SoVITS MCP (Model Context Protocol) Integration" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
AI-native task management: list, create, update and archive tasks with rich context for AI agents
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
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 management for AI agents: tasks, docs, decisions and time in one shared team context.
Read project context and manage tasks in MCPBinder, with access you control.
Agency capacity math, benchmarks, client context templates and an AI approval checklist.
Hire specialists by the hour — search, schedule, and pay via MCP protocol.
Low-context public task coordination for software agents.
Navisworks coordination and clash detection via APS — reports, viewpoints, model objects.
Time tracking, live project budgets, and billing exports for service firms.
Give AI assistants the context behind client website feedback. Read comments, screenshots, replies, element details, and developer briefs; organize priorities, update statuses, and export feedback from authorized projects. Coding agents with repository access can investigate issues and prepare fixes for review. Connect through Streamable HTTP and browser OAuth using a Simple Commenter account.
Ask Recruitee the recruiting-ops questions dashboards miss by connecting candidate search, opening offers, departments, locations, published roles, owner fields, custom fields, public applications, and talent-pool context. Find stale candidate pools, overdue stage work, hiring-manager and recruiter bottlenecks, department-level opening risk, public posting gaps, source patterns, and the owners behind blocked hiring work. No dashboard build. No SQL.
Timeglass AI MCP connects AI timesheets and searchable work history to your AI assistant. Review time entries, explore meeting and project context, and update work records in plain language.
Official Edworking MCP endpoint for projects, tasks, conversations and files. Connect with scoped OAuth access to read workspace context and perform requested actions, with links back to Edworking.
Model Context Protocol server for todo.vu task management and time tracking.
[A4B](https://a4b.ai/) is a flat-rate CMMS (asset & maintenance management) that ships a native MCP server — an integration still uncommon in the CMMS category. AI assistants like Claude and ChatGPT can query asset inventory, create and update assets and maintenance tasks, search history, and generate reports. Secured with OAuth sign-in, audit logging, and per-organization isolation. Docs: https://docs.a4b.ai/mcp/
Context-aware reminders that surface when your situation matches, not at a fixed time. 16 tools for reminders, context tags, delegated tasks, conflict checks and workload review. Needs an access token generated in the app.
Continuous improvement platform for software engineering teams. Its remote MCP server exposes team check-ins, improvements, and suggestions so AI assistants can read a team's continuous-improvement context and act on it.
A Model Context Protocol (MCP) application for automated GitHub PR analysis and issue management.…
Ovanek MCP: Model Context Protocol server for Ovanek platform tools; writes are dry-run by default.
