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Corcava MCP vs Linear : exécution des tâches et reporting

Comparing Corcava MCP and Linear workflows for engineering teams? This workflow-focused comparison examines how each handles tasks, projects, and updates via AI assistants. Includes a checklist for engineering teams and migration considerations if you're switching tools.

Understanding the Two Platforms

Corcava MCP

Project management MCP server with structured task execution, time tracking, and AI assistant workflows. Designed for teams that want simplicity and speed.

  • Remote MCP server
  • Built-in time tracking
  • Simple, focused interface
  • Strong MCP documentation

Linear

Modern issue tracking tool popular with engineering teams. Focuses on speed, keyboard shortcuts, and developer experience.

  • Fast, modern interface
  • Strong developer workflows
  • Clean API design
  • Engineering-focused

Workflow Comparison

Task Management

Corcava MCP Approach

Workflow:

  1. AI creates tasks with title, description, project, due date
  2. Tasks organized into projects and boards
  3. Status tracking (open, in_progress, done, blocked)
  4. Task comments for collaboration
  5. Time tracking per task

Example Prompt: "Create a task for implementing user authentication. Set it to the API project with due date next Friday."

Strengths: Simple structure, time tracking, natural language

Linear Approach

Workflow:

  1. Create issues with labels, priorities, estimates
  2. Organize into teams and projects
  3. Status workflow (Backlog, Todo, In Progress, Done)
  4. Comments and activity feed
  5. Cycle and sprint tracking

Example Prompt: "Create an issue for user authentication in the API team. Set priority to High and estimate to 3 days."

Strengths: Fast UI, keyboard shortcuts, engineering-focused

Project Organization

Corcava MCP

  • Projects for grouping related tasks
  • Boards for workflow visualization (columns/states)
  • Simple hierarchy: Project → Board → Task
  • Flexible organization

Linear

  • Teams for organizational units
  • Projects for feature work
  • Cycles for time-boxed work
  • Labels for categorization

Updates via AI Assistants

Corcava MCP

AI Assistant Workflow:

  1. AI reads task details
  2. AI updates status and adds comments
  3. AI tracks time if requested
  4. AI generates status reports
  5. Natural language interaction

Example: "Update the auth task to in_progress and add a comment: 'Started implementation, blocked on OAuth design.'"

Linear

AI Assistant Workflow:

  1. AI queries Linear issues
  2. AI updates status and adds comments
  3. AI manages cycles and sprints
  4. AI generates reports
  5. Depends on Linear MCP server availability

Example: "Move the auth issue to In Progress and add a comment about the OAuth blocker."

Reporting

Corcava MCP

Reporting Capabilities:

  • Status reports by project
  • Time tracking summaries
  • Task completion metrics
  • Natural language report generation
  • Stakeholder-ready formats

Example Prompt: "Generate a weekly status report for the API project. Include completed tasks, time spent, and blockers."

Linear

Reporting Capabilities:

  • Cycle reports and burndown
  • Team velocity tracking
  • Issue completion metrics
  • Custom dashboards
  • Analytics and insights

Example Prompt: "Generate a cycle report showing completed issues, velocity, and remaining work."

Engineering Team Checklist

Use this checklist to evaluate which tool fits your engineering team:

Evaluation Checklist

Task Management

  • ✅ Need simple task CRUD? → Both support
  • ✅ Need time tracking? → Corcava MCP
  • ✅ Need cycles/sprints? → Linear

Developer Experience

  • ✅ Need fast UI with keyboard shortcuts? → Linear
  • ✅ Need IDE integration? → Corcava MCP (strong MCP support)
  • ✅ Need natural language AI workflows? → Corcava MCP

Workflow Features

  • ✅ Need built-in time tracking? → Corcava MCP
  • ✅ Need cycle/sprint tracking? → Linear
  • ✅ Need simple status workflows? → Both support

Reporting

  • ✅ Need natural language reports? → Corcava MCP
  • ✅ Need velocity/cycle analytics? → Linear
  • ✅ Need time tracking reports? → Corcava MCP

Setup & Maintenance

  • ✅ Need remote MCP server (no local setup)? → Corcava MCP
  • ✅ Need extensive MCP documentation? → Corcava MCP
  • ✅ Already using Linear? → Linear MCP (if available)

Feature Comparison

Feature Corcava MCP Linear
Task CRUD ✅ ✅
Time Tracking ✅ Built-in ❌
Cycles/Sprints ⚠️ Via boards ✅ Native
IDE Integration ✅ Strong MCP ⚠️ Depends on setup
AI Workflows ✅ Optimized ⚠️ If MCP available
Reporting ✅ Natural language ✅ Analytics
Setup Complexity ✅ Simple ⚠️ Moderate

✅ = Full support | ⚠️ = Partial support | ❌ = Not available

Migration Considerations

If you're considering migrating from Linear to Corcava MCP (or vice versa), here's what to consider:

Migrating from Linear to Corcava MCP

Migration Steps

  1. Export Linear data: Export issues, projects, and comments
  2. Map data structure: Map Linear issues to Corcava tasks
  3. Create projects/boards: Set up equivalent structure in Corcava
  4. Import tasks: Create tasks in Corcava (may require script)
  5. Update workflows: Adapt team workflows to Corcava structure
  6. Train team: Onboard team on Corcava MCP workflows

⚠️ Migration Considerations

  • Data Loss: Some Linear-specific features (cycles, labels) may not map directly
  • Time Investment: Migration requires time to export, map, and import
  • Team Adoption: Team needs to learn new tool and workflows
  • Workflow Changes: May need to adapt existing workflows
  • Gain: Time tracking, simpler structure, strong MCP support

Migrating from Corcava MCP to Linear

Migration Steps

  1. Export Corcava data: Export tasks, projects, comments, time logs
  2. Map to Linear structure: Map tasks to issues, projects to teams
  3. Create Linear structure: Set up teams, projects, cycles
  4. Import issues: Create issues in Linear (may require script)
  5. Adapt workflows: Use Linear cycles and sprints
  6. Train team: Onboard team on Linear workflows

⚠️ Migration Considerations

  • Time Tracking: Linear doesn't have built-in time tracking (may need separate tool)
  • MCP Support: Linear MCP server availability may vary
  • Data Mapping: Time logs may not transfer directly
  • Gain: Cycles/sprints, faster UI, engineering-focused features

Decision Framework

Choose Corcava MCP If:

  • You need built-in time tracking
  • You want strong MCP documentation and support
  • You prefer simple, focused task management
  • You're building AI assistant workflows
  • You need remote MCP server (no local setup)
  • You work primarily in IDEs with MCP
  • You want natural language reporting

Choose Linear If:

  • You're already using Linear
  • You need cycle/sprint tracking
  • You prefer fast UI with keyboard shortcuts
  • You want engineering-focused workflows
  • You need velocity tracking and analytics
  • You prefer Linear's interface and UX

Getting Started with Corcava MCP

Ready to try Corcava MCP? Here's how to get started:

Quick Setup Steps

  1. Create a Corcava API key
  2. Add Corcava MCP to your IDE (Cursor, Windsurf, or Continue)
  3. Try the IDE workflow
  4. Test time tracking

Related Resources

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Choose the Right Tool for Engineering Teams

Use this comparison to decide between Corcava MCP and Linear based on your workflow needs

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