"MCP Servers for Supabase" matching MCP servers:

Enables creating Jira issues and listing issue types for a Jira Cloud project using Basic Auth credentials.

Gives AI assistants read access to SDLC project artifacts stored in Supabase, enabling natural language queries about projects, artifacts, screens, and tech stacks, with optional IT cost estimation via Vertex AI Gemini.

Enables AI agents to read-only inspect an OmniFocus database, retrieving exact tasks and projects, Inbox roots, complete project hierarchies, tags, dates, notes and workload or review overviews. All access is read-only and bounded, with no mutation, write tools or sync triggers.

Enables employees, approvers, and admins to register and manage time, view balances, cases, employees, and planning through Visma Intempus, with per-user scoping and fail-closed identity.

Enables AI assistants like Claude to interact with Lychee Redmine project management systems through API integration, allowing natural language access to project data and operations.

A TypeScript-based server that enables Cursor editor to interact with Jira tickets for viewing, creating, commenting on, and updating tickets directly from the editor.

MCP server for Microsoft To Do via Microsoft Graph. MSAL device code flow, no client secret needed.

This server implementation allows AI assistants to interact with Asana's API, enabling users to manage tasks, projects, workspaces, and comments through natural language requests.

MCP server for Axis team action management tool, allowing Claude to access goals, tasks, KPI progress, and team data via Supabase.

A Model Context Protocol server that provides seamless integration with Coroot observability platform, enabling monitoring of applications, analysis of performance metrics, examination of logs and traces, and management of infrastructure through Coroot's comprehensive API.

Enables MCP-compatible clients to manage AI agent teams, including agents, Kanban issues, projects, goals, approvals, budgets, and raw API access.

Enables interaction with Redmine projects and issues via the Cline VS Code extension, supporting project management and issue creation through the Model Context Protocol.

Connects AI assistants to GLPI service desks so they can manage tickets, ITIL objects (problems and changes), assets, knowledge base articles, users, rules and webhooks through natural language. Works with GLPI 10 and 11 via REST API v1 and the GLPI 11 API v2, with read-only and delete guards, idempotent creates, and support for both local (stdio/HTTP) and hosted OAuth deployments.

Comprehensive MCP server for Project COR, a project management platform, exposing 61 tools covering the complete COR REST API as MCP tools.

MCP for Azure DevOps Boards is a MCP server that lets your favourite AI browse, query and update Azure DevOps work items as if it were a project manager. Written in Rust and optimized for tokens usagem, It runs via stdio or HTTP mode and uses standard Azure authentication with az login.

A control plane for AI agents and human supervisors. Persistent task registry with scoped permissions, inter-agent delegation, and full provenance — all accessible via MCP. Deploy on Supabase free tier in 3 commands.

Enables reading and writing Qoder Supabase workspace data—projects, todos, issues, versions, notes, milestones, daily logs, and ideas—from Claude or any MCP-aware client.

Enables users to query, create, update, and manage Digital.ai Agility assets through MCP tools, with secure Windows Credential Manager authentication and configurable write operations.

Enables Codex projects to read Git-backed kickoff, acceptance, handoff, progress, and next-step context, and to append validated, audited progress events through scoped MCP tools. This supports visible agent progress, resumable sessions, and safer handoffs.

Enables Claude to interact with Asana workspaces, tasks and projects through the Asana API, allowing users to search, create, update, and manage Asana tasks and projects using natural language.

Enables Codex and other MCP clients to read kickoff cards, acceptance criteria, Git evidence, and next steps, then append validated, audited progress events for resumable project handoffs.

Provides AI assistants with a standardized interface to interact with the Todo for AI task management system. It enables users to retrieve project tasks, create new entries, and submit completion feedback through natural language.

A portable, stdio-based MCP server that exposes curated read operations across Microsoft Graph, Power BI, and Dataverse, plus an optional create-only Gemba action tool, using explicit Entra identities and read-only defaults. It lets teams run enterprise engineering workflow steps—discovery, draft preparation, and reviewed progress tracking—with separately approved, permission-scoped connectors and no automatic tenant access.

Enables AI-powered project management by connecting Claude to Planka kanban boards via 75+ MCP tools for creating, updating, and managing projects, boards, lists, and cards.

A Model Context Protocol server that enables ChatGPT and other AI assistants to directly interact with JIRA issues, currently offering the ability to retrieve issue details.

An MCP server that provides shared memory, kanban board, and agent registry for AI agents to collaborate as a team, with a live dashboard for human oversight.

Enables agents to read a project's kickoff card, acceptance criteria, AGENTS rules, handoff package, progress, Git trail, and next step, and to append validated, audited progress events with matching Git commits through short-lived scoped credentials.

Enables AI agents to retrieve Git-backed project context, handoff packages, progress, and next steps, and to append validated progress events with matching project-record commits. This supports visible agent progress, resumable work, and safe handoffs while keeping high-risk actions outside the MCP surface.

Enables agents to read Git-backed project context and append audited, idempotent progress events through scoped, short-lived credentials, supporting resumable handoffs and visible project state.

Enables AI agents and users to verify claims about Jira issues and issue counts against live Jira, retrieve verifiable facts for drafting updates, and re-check previously posted claims. It provides read-only tools and an issue panel so status updates can be evidence-based and mismatches corrected before or after posting.