Erold is an AI-native project management platform built specifically for developers and AI agents to collaborate. It features MCP server integration, REST API, CLI tool, and a knowledge base that gives AI persistent memory across sessions.

How does Erold integrate with Claude Code?

Erold provides a native MCP (Model Context Protocol) server with 27+ tools that Claude Code can use directly. This allows Claude to create tasks, update progress, access project knowledge, and manage your projects without any copy-paste.

Yes! Erold offers a free tier with 1 project and unlimited tasks. Pro is $5/month with pay-as-you-go pricing for extra resources. Only pay for what you use beyond included allocations.

What AI tools does Erold support?

Erold works with any AI tool that supports MCP or REST APIs, including Claude Code, Claude Desktop, Cursor, Windsurf, GitHub Copilot, and custom AI agents. The API-first design ensures compatibility with current and future AI tools.

What is MCP (Model Context Protocol)?

MCP (Model Context Protocol) is a standard protocol that allows AI assistants to interact with external tools and services. Erold's MCP server provides 27+ tools for task management, knowledge base access, and project operations that AI assistants can use directly.

How is Erold different from Jira, Linear, or Asana?

Erold is built API-first for AI agents, not humans-first with APIs added later. Traditional tools require copy-paste to share context with AI. Erold lets AI assistants read tasks, update progress, and access project knowledge directly through MCP, API, or CLI.

What is the Knowledge Base feature?

The Knowledge Base is persistent memory for AI assistants. Store project context, coding standards, architecture decisions, and any information AI should remember across sessions. AI can read and write knowledge entries, making it smarter about your specific project over time.

Does Erold have a CLI tool?

Yes! The Yet CLI (npm install -g @erold/cli) provides full task management from your terminal. Create tasks, list projects, mark items done, and integrate with git workflows. Perfect for developers who prefer command-line tools.

API Keys

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API keys authenticate requests to the REST API, CLI, and MCP server. Create separate keys for different tools and AI agents.

Creating an API Key

Go to Settings → API Keys
Click "Create API Key"
Enter a name (e.g., "Claude Code", "CI Pipeline")
Select permissions
Optionally restrict to specific projects
Click "Create"
Copy the key immediately

Important: The API key is only shown once. Save it securely before closing the dialog.

Permission Levels

Permission	Capabilities
Read	View projects, tasks, knowledge base. Cannot make changes.
Write	Read + create and update tasks, add knowledge items.
Admin	Write + manage projects, delete items, full access.

Best Practices

One Key Per Agent

Create separate keys for each AI agent or integration:

claude-code-personal - Your personal Claude Code
cursor-ide - Cursor IDE integration
github-actions - CI/CD pipeline

This lets you:

Track which agent performed each action
Revoke specific access without affecting others
Apply different permission levels

Least Privilege

Only grant the permissions needed. A reporting dashboard only needs Read access.

Project Scoping

Restrict keys to specific projects when possible. A key for a client project shouldn't access other projects.

Revoking Keys

Go to Settings → API Keys
Find the key to revoke
Click the ... menu
Select "Revoke"

Revoked keys stop working immediately. Any tools using them will fail to authenticate.

Viewing Activity

Each API key's actions are tracked. View activity by clicking the key name to see:

Last used timestamp
Total requests
Recent actions

Plan Limits

Plan	API Keys
Free	1 key
Pro	10 included, then $0.20/key/month