Project Management

PM that lives where your AI agents work

Plan features, capture decisions, and let Claude, ChatGPT, or Codex pick up the next task — through one MCP connection.

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How It Works

1

Capture

Drop ideas, requirements, and decisions into a project. Webase keeps them as durable memory.

2

Plan

Break work into features with priority, dependencies, and roadmap buckets.

3

Claim

Agents atomically claim the next ready feature so two of them never duplicate work.

4

Ship

Completion summaries flow back into project memory and inform the next decision.

Built for an Agent-Driven Workflow

MCP-First, Not an Afterthought

A complete catalogue of read and write tools — list projects, claim the next feature, append a delivery summary — available to any MCP-compatible AI tool.

Project Memory

Decisions, constraints, and shipped work stay searchable so the next session starts informed instead of starting over.

Atomic Feature Claims

Run multiple agents in parallel without collisions. Each one claims its next feature in a single transactional step.

Roadmap & Dependencies

Bucket features into Now / Next / Later, mark blocking dependencies, and let agents pull only what is ready to work.

A Complete MCP Tool Catalogue

Every PM action your agent needs — available through one MCP connection in Claude Code, Claude.ai, ChatGPT, or Codex.

list_projects

List your projects

get_project

Fetch full project record

get_project_context

Memory + implemented summary

search_project_memory

Search prior decisions

list_features

List features for a project

get_feature

Fetch a specific feature

get_next_feature

Next ready, unblocked feature

create_feature

Create a new feature

update_feature

Update title, plan, status

claim_next_feature

Atomically reserve next work

complete_feature

Mark done with metadata

append_implemented_summary

Record what was shipped

Plug your agent into a real PM tool

Connect once. Plan, claim, ship, repeat — from any AI tool you already use.

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