Skip to main content

Plan file management for AI assistants via MCP

Project description

Flanner

PyPI Python CI License: MIT

A plan-file manager for AI coding agents, wired into Claude Code and other assistants over MCP (Model Context Protocol).

flanner: versioned plan files linked to Linear issues, in the web dashboard

Why

AI agents write markdown constantly: design docs, migration plans, architecture notes. It piles up fast, scattered across your repo, quietly going stale, and easy to commit by accident. Flanner gives those files one home, versions them automatically as the agent revises, and keeps them out of git until you decide otherwise, with a browsable reading view and an audit trail on top.

No, I'm not convinced. But why?

Those plan files pile up in two directions at once: scattered across your projects locally, and scattered across open issues in your project-management tool. Flanner is the choke point for both, keeping you organized on disk and linked to the issue each plan belongs to.

Today Flanner is local-first; the goal is cloud-hosted plans: shared workspaces for easier collaboration, effectively unlimited storage and history, and clean links to the tools teams already work in, from product trackers and chat to second brains like Notion.

Features

  • MCP integration: exposes plan-file tools to Claude Code and Codex.
  • Automatic headers and versioning: every plan gets YAML frontmatter, and each revision is a new version with a full history.
  • Git protection: plans live in .plans/ and are kept out of commits automatically.
  • Agent integration: flanner init wires CLAUDE.md, AGENTS.md, and a guard hook so agents save plans through flanner instead of scattering raw markdown.
  • Issue tracker links: tie a plan to its Linear (or JIRA) issue; with a LINEAR_API_KEY, flanner verifies the issue and shows its live state, in the CLI and the dashboard.
  • Reading view: a browser dashboard to read, edit, and walk the history of plans (light and dark, fully offline).
  • Per-project config: customize the plan directory per repository.

Quick start

pip install flanner

cd your-project      # a git repo where plans should live
flanner init         # sets up the database, MCP registration, and a project

Then ask your agent to work with plans:

"Create an architecture plan for the auth service"

"Show me the history of the architecture plan"

And open the dashboard to browse them:

flanner web --open-browser     # http://localhost:8080

flanner init is safe to re-run. It detects your git root, creates .plans/, updates .gitignore, registers the MCP server with Claude Code, and installs the agent integration.

CLI commands

flanner init [--project-root PATH] [--plan-dir DIR]     # set up a project
flanner status                                          # projects, plan files, db path
flanner list [--project NAME] [--output json]           # list projects or a project's plans
flanner sync [--project NAME] [--dry-run]               # import existing .plans/ files
flanner config NAME [--plan-dir DIR] [...]              # change project settings
flanner web [--port 8080] [--host 127.0.0.1] [--open-browser]
flanner register [--force] / flanner unregister         # MCP registration with Claude Code
flanner claude-info                                     # integration status
Plan file format

Every managed plan carries YAML frontmatter, generated by the tools and never hand-written:

---
mcp_plan_file: true
project_id: 3d816ecd-489a-4fa0-abe2-15ec93f60d5a
plan_file_id: 59c34f9c-8471-47fc-97f2-8dcfefa15434
plan_name: architecture
version: 2
created_by: claude
---

# Architecture Plan

Your plan content here...
Web interface

flanner dashboard

A server-rendered dashboard, no build step, works offline:

  • Dashboard (/): projects, stats, and recent activity
  • Project detail (/projects/{id}): a project's plans, paginated
  • Plan viewer (/plans/{id}): rendered markdown, version selector, frontmatter
  • Editor (/plans/{id}/edit) and version history (/plans/{id}/history)

The web UI binds 127.0.0.1 with no authentication. Do not expose it beyond localhost.

Where data lives
  • Catalog (SQLite): ~/.flanner/data.db, override with FLANNER_HOME or FLANNER_DB_PATH
  • Plan files: .plans/ in your repo, git-ignored, named name_v1.md, name_v2.md, and so on
Issue tracker links (Linear, JIRA)

Link plan files to issues so a plan and its ticket travel together.

flanner linear auth                                     # verify LINEAR_API_KEY, print MCP snippet
flanner linear config PROJECT --workspace acme          # linear.app/acme
flanner linear link PLAN --issue ENG-123 [--notes ...]  # link a plan to an issue
flanner linear links [--project PROJECT]                # list all links
flanner linear show PLAN [--project PROJECT]            # links for one plan
flanner linear unlink PLAN [--issue ENG-123 | --all]
flanner linear refresh PLAN                             # re-pull title/state (needs API key)

With LINEAR_API_KEY set, link verifies the issue exists and caches its title and state, --attach-url attaches a URL to the Linear issue, and refresh re-pulls live status. Without a key it stays link-only (stores the id, builds the URL). The key is read from the environment only, never stored on disk. See docs/LINEAR_INTEGRATION.md. A parallel flanner jira group links to JIRA issue keys (link-only).

Architecture

Layering is enforced by tests/test_architecture.py:

  • foundation (exceptions, utils, frontmatter, git_integration, jira_utils, linear_utils) imports nothing else from the package; the linear_api GraphQL client adds only exceptions
  • data (database, storage) sits on the foundation only
  • composition roots (server for MCP, web, cli) wire everything together and do not import each other (except cli, which launches both)

Decisions are recorded in docs/adr/, with more guides in docs/.

How it works

An agent calls get_plan_config to learn where plans go, then create_plan_file_tool or update_plan_file_tool to write them. Flanner places the file in the project's plan directory, adds the header, and bumps the version. Files stay in .plans/ (git-ignored), so they never land in a commit by accident.

Keeping the agent on the rails. The MCP tools are the how; flanner init also installs two layers that make the agent actually use them. It writes a managed block into CLAUDE.md and AGENTS.md (guidance Claude Code and Codex read every session) plus a flanner-plan skill, so the agent knows to route plan docs through flanner. On top of that, a guard-write PreToolUse hook denies any raw write into the plan directory and points the agent back to create_plan_file_tool, so even if it ignores the guidance a plan cannot land as unmanaged markdown. The hook fails open and never blocks writes elsewhere.

Roadmap

Flanner is local-first today. Planned next:

  • Cloud-hosted plans: a PostgreSQL catalog and S3-backed storage for effectively unlimited history
  • Shared workspaces for team collaboration
  • Full-text search across plans
  • Links out to product trackers, chat, and second brains like Notion
  • Real-time updates in the web UI

Contributing

Setup, the CI gates, benchmarks, and the release process are in CONTRIBUTING.md.

License

MIT

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

flanner-0.7.1.tar.gz (180.5 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

flanner-0.7.1-py3-none-any.whl (162.9 kB view details)

Uploaded Python 3

File details

Details for the file flanner-0.7.1.tar.gz.

File metadata

  • Download URL: flanner-0.7.1.tar.gz
  • Upload date:
  • Size: 180.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: uv/0.5.26

File hashes

Hashes for flanner-0.7.1.tar.gz
Algorithm Hash digest
SHA256 e79c6ee7280ba8949ddcff748baa263bac5f810d8eaadd5a5b3d5faf4f35213f
MD5 f85a5b060bd3f76109387c3f5c2244bb
BLAKE2b-256 458004d162a9db49d0e463019773e3b62952abb46c52e2ce5469fd6ab0370dc9

See more details on using hashes here.

File details

Details for the file flanner-0.7.1-py3-none-any.whl.

File metadata

  • Download URL: flanner-0.7.1-py3-none-any.whl
  • Upload date:
  • Size: 162.9 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: uv/0.5.26

File hashes

Hashes for flanner-0.7.1-py3-none-any.whl
Algorithm Hash digest
SHA256 5f2b2f213370c8fc19d3733dd86335acc50b6fe1402aca8f03f92d16a1a2fb69
MD5 fc02c7dfadd07fe21b105dd4dac03dfc
BLAKE2b-256 eb6e7709e0732a8ca85d5bd7b385be2f741d3b070df7db128bd21393f81823ed

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page