"Finding Unity Developers Skilled in C#" matching MCP servers:

Enables comprehensive management of OpenProject work packages, projects, comments, and relations through natural language. Supports creating, updating, and organizing tasks with assignees, watchers, hierarchies, and inter-task relationships.

Goodday‑MCP is a lightweight Model Context Protocol (MCP) server designed to seamlessly integrate with the Goodday project management platform via its API v2. It enables querying of projects, tasks, and users—without altering any data—making it ideal for secure context-aware applications

MCP server for Linear that allows creating issues, adding comments, and listing issues and teams.

Enables AI coding agents to read an allowlisted monday.com board and propose changes, while writes require a frozen column contract and human approval before being committed. The monday API token never leaves the server.

A Model Context Protocol (MCP) server for Hubstaff API integration, enabling seamless time tracking, project management, and team collaboration through AI assistants.

Job application tracker for developers: AI agents write over a remote MCP server (OAuth), humans review in a dashboard at jobctl app.

Read-only MCP server for ProjectLibre .pod files that enables finding project files, summarizing Gantt charts, inspecting tasks, and analyzing schedules without opening ProjectLibre.

Persistent code finding, requirements, and release tracker for AI assistants. Enables durable memory for code review findings, requirements, dependency blockers, parallel-agent coordination, and release milestones with minimal token overhead.

Integrates Zoho Projects, Git, and SonarQube to automate task management, branch creation, code quality checks, and reporting for React developers.

Enables AI assistants to automatically log and manage conversation history with developers in structured markdown format. Provides powerful search and context suggestions to help AI understand project history and maintain continuity across sessions.

Enables developers to interact with Figma designs, Jira and Confluence content, and GitLab projects through a single stdio MCP server using REST APIs and glab fallback, with credentials managed via environment variables.

A Model Context Protocol (MCP) server that integrates with the SpaceBridge REST API to automate issue management across connected issue trackers, allowing developers to manage issues directly from their AI-assisted coding environment.

Enables developers to read project context, create documentation drafts, update reports, and retrieve tenant-scoped metrics through the Andiora platform APIs.

Equips MCP-compatible AI assistants with tools for deep research, requirements and PRD generation, codebase mapping, context curation, task management, and fullstack starter-project scaffolding. It supports CLI, REPL, and server modes so developers can drive software development workflows through natural-language commands.

Enables end-to-end automation of developer workflows from Jira issue tracking to GitHub pull requests through natural language, allowing developers to search issues, create branches, commit changes, and manage PRs directly from their IDE.

Automates error tracking workflow by finding code owners in Bitbucket, retrieving related pull requests, and creating assigned JIRA tickets for code errors.

A planning and orchestration system for AI-driven software development that integrates as an MCP server, enabling developers to plan, prioritize, and execute complex projects with context-aware assistance.

MCP server that enables AI agents to access and modify Todoist tasks, such as finding tasks by date and adding tasks, via natural language.

Centralized MCP server for spec-driven AI agent workflows, enabling isolated feature management, task tracking, and implementation with handoff and archiving capabilities across multiple projects and developers.

Enables read-only MCP access to Yandex Tracker for retrieving issues with comments and attachment metadata, searching issues, reading issue history, downloading attachments, and finding users. It also supports connection status checks and token configuration without exposing secrets.