"A server for finding information about Odoo ERP software" matching MCP servers:

Enables interaction with Odoo ERP from any MCP-compatible IDE, allowing task management, timesheet logging, and GitLab branch viewing.

An MCP server that facilitates interactive software development planning by breaking down projects into manageable tasks, tracking progress, and saving implementation plans.

Facilitates software development planning through interactive sessions that break down projects into manageable tasks with complexity scoring, code examples, and implementation plan management.

Facilitates interactive software development planning by managing tasks, tracking progress, and creating detailed implementation plans through the Model Context Protocol.

Enables conversational interaction with Odoo to manage timesheets, expenses, contacts, and invoices through an MCP-compatible assistant. It provides comprehensive tools for searching records, managing HR tasks, and tracking project costs via the Odoo API.

MCP server for managing Odoo ERP tasks, timesheets, and wiki pages via JSON-RPC protocol. Supports restricted and full trust modes for secure AI assistant access.

Provides software development planning tools to help users create implementation plans and manage todo items.

Enables Claude Desktop, Cowork, or Claude Code to interact with Odoo ERP via XML-RPC without installing custom modules, offering tools for CRM and sales, projects and tasks, inventory and purchases, plus connectivity checks.

An MCP server that exposes workflow actions, wizards, and specialized operations from the QOD PPM Odoo plugin as tools, complementing generic Odoo CRUD servers by handling non-trivial UI button functionality like state transitions, report generation, and risk management.

Enables to manage Odoo 16 timesheets via the External API, supporting CRUD operations on timesheet entries.

This MCP server enables managing projects, tasks, subtasks, private tasks, and image attachments in Odoo 19 through natural language.

Enables AI assistants to securely access and interact with Odoo data through natural language, supporting full CRUD operations, OAuth 2.1 and API key authentication, and granular per-model permissions.

Enables authenticated team members to manage Odoo projects, tasks, timesheets, and milestones through Claude, with per-user token-based authentication.

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.

MCP server for Arbisoft's ERP system, enabling AI assistants to read and write project time logs via OAuth-authenticated tool calls.

Enables natural language interaction with Unanet GovCon ERP for project management, time tracking, financial reporting, and contact management, turning complex navigation into simple questions.

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.

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.

Enables Codex to read a project's kickoff card, acceptance criteria, AGENTS rules, handoff package, progress, Git trail, and next step, and to append validated, audited, idempotent progress events backed by a matching project-record Git commit. Access is scoped to one workspace and project via short-lived, revocable, hash-stored credentials that cannot reach members, keys, deletion, publication, or deployment.

Enables MCP clients to read a project's Git-backed kickoff, acceptance criteria, handoff package, progress, and next step, and to append validated, audited progress events as project records. It provides short-lived scoped credentials and fail-closed tool allowlisting for safe, resumable AI-assisted development.