pmosmd
The PM stack is being rewritten weekly. We keep track, so you don't have to.
A hand-curated index of GitHub repos, articles, MCP servers, and long-shelf reads — filtered for substance, not volume. Built by a PM, for PMs. No ads, no affiliates, no newsletters to sign up for.
The agent that grows with you. Self-evolving AI — learns from tasks, writes its own skills, retains memory across sessions. The only open-source agent with a built-in learning loop. MCP support, runs on Telegram/Slack/CLI.
Signal 8 · filtered
best reads this week + this monthNo hot takes. No think-pieces without a concrete takeaway.
GitHub repos 6 · sorted by stars
repos worth using, not just bookmarkingBias toward repos PMs can use directly, not just reference.
MCP for PMs 7 · servers
the servers that fit a PM workflowMCP lets your AI agent reach into the tools you already use. These are the servers that are actually useful to PMs — not all 300+.
| tool | server | status | what PMs use it for |
|---|---|---|---|
| Jira + Confluence | mcp-atlassian github.com | stable |
Query tickets, create issues, search Confluence pages, manage sprints |
| Linear | linear-mcp github.com | stable |
Manage issues, projects, and cycles. Pull sprint context into PRD drafts |
| Notion | notion-mcp-server github.com | official |
Read and write docs, databases, wikis. Summarize meeting notes, update specs |
| GitHub | github-mcp-server github.com | official |
Review PRs, search issues, understand codebase context without asking engineering |
| Slack | slack MCP github.com | stable |
Summarize channels, search past decisions, catch up on a project thread |
| Productboard | productboard-mcp github.com | beta |
Pull feature requests and roadmap items into agentic workflows |
| Google Calendar | google-calendar-mcp github.com | stable |
Schedule, prep for meetings, generate agenda docs from calendar context |
New to MCP? → Anthropic's MCP docs — setup guides, server examples, integration patterns.
Recommended 6 · permanent shelf
subjective · no affiliate linksThings I keep coming back to. Changes rarely. If you only read one section, this is the one.
| title | type | why it's here | by |
|---|---|---|---|
| Continuous Discovery Habits amazon.com | book |
Required reading before picking up any AI discovery tool. The mental model shift, not the tactics, is what stays with you. | Teresa Torres |
| The Beautiful Mess substack | newsletter |
John Cutler writes like no one else in product. Uncomfortable, honest, systems-level thinking. The opposite of LinkedIn thought leadership. | John Cutler |
| The Pragmatic Engineer substack | newsletter |
Essential if you work with engineers. The best writing on the PM–eng interface, grounded in how software actually gets built. | Gergely Orosz |
| Reimagined: Building Products with Generative AI amazon.com | book |
150 use cases, 30 case studies. The most practical AI product book written by people who actually built with it, not about it. | Shyvee Shi |
| Lenny's Newsletter substack | newsletter |
The benchmark data is what makes it irreplaceable. Retention curves, conversion rates, team ratios — nobody else publishes this. | Lenny Rachitsky |
| Shape Up basecamp.com | book |
Free online. The best alternative to Scrum that nobody talks about enough. More relevant now that AI compresses delivery timelines. | Ryan Singer |