Blog tag
Tagged: AI agents.
9 articles tagged AI agents
Should your agent use MCP or the REST API?
MCP and a REST API solve overlapping problems for AI agents. Here is a plain guide to when each one is the right call, and why you often want both.
Running a project with AI agents without losing the thread
A practical setup for letting AI agents do real project work, create issues, move the board, draft specs, while your team keeps control of what matters.
Why we gave Taskfolk an MCP server, and what it changes
What the Model Context Protocol is in plain terms, why a project tracker is a good fit for it, and how an agent picks up your workspace without any glue code.
Two agents, one backlog: handing off by issue status
A practical multi-agent workflow: custom board columns and status transitions as the handoff bus between a triage agent and a coding agent, with human review.
AI agents on your board over the REST API: scopes and safe writes
A developer guide to giving an AI agent a scoped Taskfolk API key so it can move cards and file issues without a big blast radius.
Which project tools ship a first-party MCP server?
Having AI features is not the same as shipping an MCP server. Here is how to tell first-party from community-built from none, with an honest checklist.
What is agentic project management? A plain guide with an example
A copilot waits for your prompt. An agent acts on an event. Here is the perceive-plan-act-check loop explained, with one real end-to-end run inside Taskfolk.
Give your AI agent a knowledge base: your docs, not the internet
How to give an AI agent access to your company docs, so it grounds answers in your workspace instead of guessing, using RAG exposed through MCP.
Let AI write the weekly project digest
How to automate a weekly status report with AI that reads what actually moved and what stalled, instead of a dumb scheduled dump of ticket counts.
