A Model Context Protocol (MCP) server for comprehensive software lifecycle management. This server provides structured tracking of requirements
Lifecycle mcp mcp server connects Lifecycle MCP to AI assistants that speak the Model Context Protocol. A Model Context Protocol (MCP) server for comprehensive software lifecycle management. This server provides structured tracking of requirements, tasks, and architecture decisions through a SQLite database with full traceability and automated state management.
A Model Context Protocol (MCP) server for comprehensive software lifecycle management. This server provides structured tracking of requirements, tasks, and architecture decisions through a SQLite database with full traceability and automated state management.
Once connected, the assistant can call these 14 tools directly:
create_requirement — The create_requirement tool exposed by this serverupdate_requirement_status — The update_requirement_status tool exposed by this serverquery_requirements — The query_requirements tool exposed by this serverget_requirement_details — Get comprehensive requirement information including all relationshipstrace_requirement — Trace a requirement through its complete implementation lifecyclecreate_task — The create_task tool exposed by this serverupdate_task_status — The update_task_status tool exposed by this serverquery_tasks — The query_tasks tool exposed by this serverget_task_details — Get comprehensive task information including dependencies and relationshipssync_task_from_github — Sync individual task from GitHub issue changes with conflict detectionbulk_sync_github_tasks — The bulk_sync_github_tasks tool exposed by this servercreate_architecture_decision — The create_architecture_decision tool exposed by this serverupdate_architecture_status — Update the status of an architecture decision with validationquery_architecture_decisions — Search and filter architecture decisions by various criteriaSetup follows the standard MCP pattern: clone or install the server, then register it in your client's configuration file and restart the client. The configuration snippets on this page cover Claude Desktop, Claude Code and Cursor.
The server reads 2 environment variables: LIFECYCLE_DB, LIFECYCLE_PATH. Keep credentials in your client's env block or a secrets manager rather than committing them.
If you want to use uv (faster Python package manager): ```bash
Productivity servers pay off through capture: the tasks and notes that never get filed are the ones where opening the app is more friction than the thought is worth. Lifecycle MCP sits in that group, and the shape of its toolset — create_requirement, update_requirement_status, query_requirements among others — tells you what it is really for. Worth comparing against the other productivity servers in this directory before you commit to one, since several overlap in scope but differ sharply in setup cost and permissions.
| Tool | What it does |
|---|---|
| create_requirement | The create_requirement tool exposed by this server. |
| update_requirement_status | The update_requirement_status tool exposed by this server. |
| query_requirements | The query_requirements tool exposed by this server. |
| get_requirement_details | Get comprehensive requirement information including all relationships. |
| trace_requirement | Trace a requirement through its complete implementation lifecycle. |
| create_task | The create_task tool exposed by this server. |
| update_task_status | The update_task_status tool exposed by this server. |
| query_tasks | The query_tasks tool exposed by this server. |
| get_task_details | Get comprehensive task information including dependencies and relationships. |
| sync_task_from_github | Sync individual task from GitHub issue changes with conflict detection. |
| bulk_sync_github_tasks | The bulk_sync_github_tasks tool exposed by this server. |
| create_architecture_decision | The create_architecture_decision tool exposed by this server. |
| update_architecture_status | Update the status of an architecture decision with validation. |
| query_architecture_decisions | Search and filter architecture decisions by various criteria. |
If you want to use uv (faster Python package manager): ```bash
| Variable | Description | Required |
|---|---|---|
| LIFECYCLE_DB | Configuration value read at startup. | Optional |
| LIFECYCLE_PATH | Filesystem location the server is allowed to use. | Optional |
Your workspace, on speaking terms with AI — search, read and write Notion pages and databases.
Issue tracking at the speed of conversation — Linear's official hosted server with OAuth and zero install.
Search and read your Drive — Docs, Sheets and files become context your assistant can actually use.
Your assistant inside the workspace — read channels, search history, post messages and tame the noise.
Metabase ships its own MCP endpoint — search your BI content, build and run queries, and save questions and dashboards without leaving the chat.
Stop letting your assistant hallucinate n8n node parameters — this server hands it the real schemas, templates and validation.