Serveur MCP Context Forge

Context Forge

Context Forge massively speeds the development of large projects with AI agents while maintaining high quality.

It multiplies your cognitive abilities and doesn't try to replace them. Not another "Hey AI, build me an app" framework, and it may be overkill for building simple gadgets. Development is managed through a structured process, starting with broad initiatives and breaking functionality into vertical slices and individual tasks. It maintains traceable, hierarchical project state so that every AI session starts with full awareness of where things stand and what's next.

It's designed to be easy for AIs as well. Every command can output structured JSON. Easily readable by AI, and usable in pipelines. The MCP server provides an agent_quickstart to simplify use by AIs.

What It Looks Like

CLI

Everything is discoverable under the cf command. Start with cf --help. Easily manage multiple projects. cf knows which one based on your current directory. cf init to start a new one. Ideally it will feel similar to git.

Obtain brief status with cf status, detailed with cf project get. Use the MCP or slash-commands if you prefer.

Your AI assistant sees this too — through MCP tools, through slash commands, through the CLI. It knows the project structure, the methodology phase, the active slice, and (very soon) exactly which task to work on next. No "let me catch you up." No re-reading CLAUDE.md. No guessing.

Visualizer

Context Forge builds big projects fast. Visualizer is a separate tool to help humans maintain an overview. Available at:
https://github.com/ecorkran/context-visualizer

Get Started

Most people should install Squadron and let it set up Context Forge for them. Squadron drives multi-agent pipelines through cf, so it installs and configures both. If you only want the methodology and context engine, the standalone path below is fully supported.

Recommended: install via Squadron

uv tool install squadron-ai     # or: pipx install squadron-ai
sq setup                        # installs cf, /sq:* and /cf:* commands, checks providers

sq setup is interactive and idempotent, so it is safe to re-run. Then, inside each project you want to work on:

cf init                         # creates the project, installs guides, configures your IDE

Context Forge on its own

# 1. Install globally (one package gets you everything)
npm install -g @context-forge/context-forge

# 2. Add the MCP server (strongly recommended)
claude mcp add --transport stdio context-forge -- npx @context-forge/mcp
# Codex CLI instead? Add to ~/.codex/config.toml — see the MCP config details below.

# 3. Set up your project — pick one:
cf init                   # CLI: creates project, installs guides, configures IDE, installs slash commands
cf init --ide copilot     # Same, but configured for VS Code Copilot instead of Claude Code
cf init --ide codex       # Same, but configured for OpenAI Codex (also: cursor, agents, openai)
# — or —
/cf:onboard               # Slash command: AI-guided setup — registers the project, then hands off to `cf build`

That's it. cf status works. Your AI assistant can call Context Forge tools. /cf:build assembles context. /cf:onboard sets up the project, then runs cf build and follows the prompt it returns. It needs ai-project-guide v0.22.11 or newer; on an older install cf build warns and cf guides update fixes it.

{
  "context-forge": {
    "command": "npx",
    "args": ["@context-forge/mcp"],
    "env": {}
  }
}

For OpenAI Codex CLI, add to ~/.codex/config.toml:

[mcp_servers.context-forge]
command = "npx"
args = ["@context-forge/mcp"]

cf guides install          # Install methodology guides into your project
cf setup-ide claude        # Install Claude rules and create CLAUDE.md
cf setup-ide copilot       # Install rules/skills for VS Code Copilot
cf setup-ide cursor        # Install scoped rules for Cursor, always-on rules in AGENTS.md
cf setup-ide codex         # Write AGENTS.md + skills for OpenAI Codex (aliases: openai, agents)
cf setup-ide claude --dry-run  # Preview what setup-ide would add/change/remove; writes nothing
cf setup-ide claude --write-lint  # Also write missing lint configs (eslint.config.mjs, ruff.toml, ...)
cf install-commands              # Install /cf:* slash commands for Claude Code (machine-level)
cf install-commands --ide codex  # Install $cf-* agent skills for Codex (machine-level)
cf install-commands --local      # Project-local install (either target)

Each target writes a different file layout:

cf setup-ide claude              # CLAUDE.md, .claude/{rules,agents,skills}/
cf setup-ide copilot             # AGENTS.md, .github/copilot-instructions.md,
                                  # .github/instructions/, .agents/skills/<name>/SKILL.md
cf setup-ide cursor              # AGENTS.md (always-on), .cursor/rules/*.mdc (scoped)
cf setup-ide codex|openai|agents # AGENTS.md, .agents/skills/<name>/SKILL.md

A guide rule can be limited to some agents with agents: [claude] in its frontmatter. Without the key, the rule goes everywhere. The audiences name output files, not targets:

• claude: the CLAUDE.md block and .claude/rules/
• agents: the AGENTS.md block and its scoped-rule index
• copilot: the copilot-instructions.md block and .github/instructions/
• cursor: .cursor/rules/

A skipped scoped rule prints ⊘ Skipped <file> (agents: …), and a file an earlier run wrote for it is removed. An unknown value is ignored with a warning. Cursor reads its always-on rules from AGENTS.md, so an always-on rule meant for Cursor must list agents.

Requirements: Node.js 20.18+.

How It Works

Context Forge is built around a structured development methodology called ai-project-guide.

Projects progress through phases: Concept → Initiative Plan → Architecture → Slice Planning → Slice Design → Task Breakdown → Implementation → Integration

Each phase produces documents. Documents reference each other. Slices decompose into tasks. Tasks track completion. The whole thing is a hierarchy you can navigate, introspect, and hand off between humans and agents without losing state.

Context Forge is the engine that:

• Knows where you are — parses your project artifacts, reads completion states, understands methodology phase
• Knows what's next — workflow navigation recommends the next action with rationale
• Generates session context — assembles everything an AI agent needs into a structured prompt, automatically
• Tracks everything — persistent project state, two-tier configuration, artifact introspection across all your projects

It manages multiple projects simultaneously. Each one has its own slice plan, its own task state, its own methodology position.

For larger projects with parallel initiatives — running architecture and a feature slice at the same time, for example — worktrees let you run multiple AI sessions in separate git worktrees, each with its own phase/slice/task context, without conflicts.

Choosing a guide install strategy

cf guides install and cf init accept --strategy to control how the guide lands in your project. The guide itself is identical either way; the strategies differ in how it is tracked.

Strategy	Trade-off
tarball (default)	plain files with no git wiring, simplest for teams
submodule	version-pinned and updatable, but teammates must run git submodule update
clone	a full working copy you can commit to, larger checkout

Why tarball is the default. The guide lands as plain files in your repo — the archive's own git files (.gitmodules, .gitignore) are dropped at extract time — so once one person runs the install, everyone else gets the guide from your repo like any other file. Nobody has to think about submodule checkout, CI needs no submodules: true, and there is no second repository nested inside yours. The install is committed for you (docs: install ai-project-guide <version>), touching only the guide directory and never pushing; if the project is not a git repository, or gitignores the guide, the commit is skipped and the output says so. cf guides update replaces the directory and commits the same way, so a guide bump shows up as an ordinary reviewable diff.

The person running the install needs to reach github.com (to resolve the latest tag) and api.github.com (to download the archive); the standard HTTPS_PROXY / NO_PROXY variables are honored for both. The source must be a github.com repository, and a guide.source config value is honored on both install and update.

Pick submodule with --strategy submodule when you want the exact guide commit pinned and reviewable in a diff, updates that go through git rather than the GitHub API, or a working path for contributing improvements back upstream. A teammate who clones without --recurse-submodules is covered: Context Forge initializes the checkout automatically the first time a command reads guide content, reporting what it did on stderr. cf guides info shows the checkout state and never modifies it. A checkout sitting at a commit other than the one your project pins is reported and left alone, since that is usually deliberate.

The strategy you pass is remembered. When --strategy names something other than what the project's config already resolves to, it is written to guide.git_strategy in the shared project config (.context-forge.toml), so a later bare cf guides install, or a teammate's, uses the same strategy. Commit that file.

Switching an existing submodule install to tarball:

cf guides uninstall                     # removes the submodule, its .git/modules data, and commits
cf guides install --strategy tarball    # installs as plain files and commits
git add .context-forge.toml && git commit -m "chore: set guide strategy to tarball"

Pick clone when you intend to edit the guide in place. The strategy name manual is a deprecated alias for tarball; it still works and prints a deprecation notice.

This directory is managed by cf and overwritten on cf guides update. Put project-specific customizations under project-documents/user/.

Previewing, pinning and local archives (tarball installs)

cf guides update downloads the new guide into a staging directory and shows what would change before it touches anything:

Guide update: v0.20.2 → v0.21.0
  12 added, 3 removed, 41 changed
Continue? (y/N)

Answering anything but y leaves the guide and git untouched. --yes skips the question (and the branch-guard question too). With no terminal to ask on, such as a closed stdin, the answer is no, so unattended runs need --yes. When nothing differs, it prints Guide is already up to date and changes nothing. The guide_update MCP tool has no prompt: it applies the update and returns the same counts as preview (unchanged: true when nothing differed); the swap is one commit you can revert.

Two flags work on both cf guides install and cf guides update:

• --version <tag> installs that release instead of the newest. It applies to that call only and is not remembered; a tag the remote does not have fails and names the newest one.
• --source <url|path.tgz> takes a GitHub URL or a local .tgz/.tar.gz archive (relative paths resolve against the directory you run cf in; the MCP tools resolve against the project root). The archive needs a single top-level directory, like a GitHub tarball. A local install is recorded as version local, so cf guides info shows local and reports an update as available; a later plain cf guides update moves to the newest release. --version cannot be combined with a local archive.

Both are tarball-only: on a submodule or clone install they fail with an error instead of being ignored.

Leaving guide content out (guide.exclude)

Most projects use only a few of the guide's tool-guides/ and framework-guides/. A tarball install can skip the rest:

cf config set guide.exclude "tool-guides/**,framework-guides"
cf guides update        # re-extracts at the same version without the excluded paths

• Each entry is a path relative to the guide root, matched as that file or directory and everything under it. A trailing / or /** means the same as the bare path; no other wildcards are supported.
• project-guides and scripts are protected: cf needs them, so an entry that equals, contains, or sits inside either one is refused. The one exception is a single language's lint config, project-guides/lint/<language> (for example project-guides/lint/csharp); project-guides/lint itself is refused.
• Tarball installs only. Submodule and clone installs ignore the key and say so.
• A change applies on the next cf guides update (or a fresh install); cf guides info shows the applied list and flags a pending change. The key lives in the shared .context-forge.toml; the update commit includes that file when guide.exclude is its only uncommitted change. If you have other edits in it, the file is left out of the commit and cf says so.
• Links from the remaining guide content into an excluded path will break.

Adopting an Existing Codebase

Adoption of an existing codebase is run by squadron's sq onboard, which calls Context Forge. Context Forge doesn't start or run an adoption on its own. It does notice an existing codebase: cf init, /cf:onboard and cf next print one line naming sq onboard and the opt-out, and onboarding stops before the concept conversation. cf build is unchanged by the codebase. To treat a project with existing code as new, run cf config set adoption.state declined. An adoption writes a concept, which squadron drafts and you confirm, then a derived architecture and an existing-state slice plan. Your assistant writes those from Context Forge's adoption prompt, recording the built work as completed history followed by your new work. An adopted project is then navigated like any other, so cf next points at the first new slice. The primitives squadron uses are described in Adoption Primitives.

When the project already has rule files (CLAUDE.md, AGENTS.md, .cursor/rules, ...), cf setup-ide keeps your text and appends the guide's rules below it. To settle any contradictions between the two, fetch the reconciliation prompt with cf prompt get conventions-reconciliation and give it to your assistant. It lists the conflicts, asks you to decide each one, and records the decisions with cf rules resolve. Run cf setup-ide <target> again to apply them. The prompt ships in ai-project-guide v0.22.6; on an older guide, the command fails with "No prompt found" and you record decisions by hand with cf rules resolve <guideRule> <projectSource> --statement "<text>" (see cf rules inventory --json for the valid names).

An adopted project's existing README, docs/ and ADRs stay where they are. cf docs map writes project-documents/user/architecture/050-docs-map.{project}.md, an index that links each of them in place, so the derived architecture and later designs can point at them. Re-run it to refresh the list; entries you add by hand outside the managed block are kept.

If detection gets it wrong, the opt-out is cf config set adoption.state declined; cf config get adoption.state describes the values. Commands are in the CLI reference, and Review Gating explains how the review gate treats the recorded history.

Consistency Checks and --fix

cf check finds mismatches between related documents: a slice whose tasks are all done but whose plan entry is unchecked, a design whose status disagrees with its tasks, and so on. cf check --fix applies the safe corrections (checkboxes and frontmatter status fields). Without --slice it shows what it found and asks before writing; --yes skips the question.

With worktrees, each fix is written only in the checkout that owns its subject, decided by the worktrees' index ranges. Documents no range claims belong to the main project checkout.

• Fixes in the checkout you run from stay uncommitted, as before.
• Fixes in another registered checkout are committed there, one commit per checkout, containing only the fixed files: docs: update project documents in response to cf check --fix. Nothing is pushed.
• Some fixes are left alone and listed with a reason:
  • another checkout's stale copy of a document
  • a checkout that is missing, on a detached HEAD, or mid-merge/rebase
  • a file with uncommitted edits
  • a commit rejected by that checkout's hooks (the written files are restored)
• Running --fix from a checkout that isn't a registered worktree is an error. Run cf worktree init there, or run from a registered checkout.

--no-commit (MCP workflow_check: noCommit: true) writes the fixes in every checkout and commits nothing, so you can fold them into your own commit. The files written are listed per checkout (fixLog in --json output; with worktrees each entry names its worktree). Fixes that would overwrite a file with uncommitted edits are still left alone. Run the commit yourself in each checkout listed.

cf config set workflow.auto_fix true makes every cf check a fixing run, with no confirmation. With worktrees, that means a plain cf check can commit into other checkouts. That includes the DEVLOG archiving below: with workflow.auto_fix on, a plain cf check can archive and commit DEVLOG.md without a prompt.

Keeping DEVLOG.md small

DEVLOG.md grows without bound, and a very large one can overflow an agent's tool-result buffer. When it passes devlog.max_bytes, cf check warns (devlog-size), and cf devlog archive [--dry-run] or cf check --fix moves the older day sections, cut from the bottom, into quarterly archives at project-documents/user/archive/devlog/DEVLOG-YYYY-Qn.md. The newest sections stay, up to devlog.target_bytes; a day section is never split. --dry-run prints the plan and writes nothing, and cf devlog archive never commits. With several checkouts, --fix archives only in the main checkout.

Key	Default	Meaning
devlog.max_bytes	200000	Size above which cf check warns and archiving runs
devlog.target_bytes	100000	Size archiving keeps DEVLOG.md at or under; must be below devlog.max_bytes

Review Gating

Optionally require a review artifact (with a clearing verdict) before Context Forge recommends advancing past a lifecycle boundary — deterministic, AI-free routing with zero behavior change unless you turn it on:

cf config set workflow.review_enabled true

Off by default. To exempt a single slice from its review requirement:

cf check --set-review-none <index>    # writes review: none to that slice's design doc

See the Review Gating reference for the full config-key surface, decision matrix, and other escape hatches (grandfathering old work, exempting docs-only slices).

Design Philosophy

Context Forge resists the urge to be clever on your behalf.

We added compound commands — cf implement instead of cf set phase 6 && cf build. Then we cut them all. They bloated the command surface, cluttered the slash commands, and obscured what was actually happening. The low-level commands were better. They composed. They were transparent. So we went back.

This is a pattern, not an accident. The tool stays close to the metal:

• No magic. You can do everything through MCP if you want, but cf set phase 6 is a hundred times faster and you should just type it. The MCP tools exist so agents can operate autonomously, not so humans can burn tokens setting a property.
• No opinions about your stack. Context Forge doesn't care if you're writing Python, TypeScript, C++, or all three. It manages project state and generates context. Your agents do the rest.
• No hand-holding. There's an onboarding flow if you want it (/cf:onboard). There's cf next if you want guidance. But the tool doesn't gate your progress or force you through ceremonies. You're the architect. Act like it.

Naming Things

Started as a simple Electron utility called Context Builder, and long since outgrew both the name and the Electron app. It stays Context Forge because the npm org carries four packages and seventy-odd releases, and renaming that costs every existing user more than a better name is worth. Naming things is hard. One of the only two hard things, together with cache invalidation and off-by-one errors.

Access Points

Three interfaces — use whichever fits your workflow:

MCP Server (@context-forge/mcp)

34 tools for project management, context generation, artifact introspection, workflow navigation, worktree management, guide management, and configuration. Works with Claude Code, Cursor, or any MCP-compatible client. This is what your AI assistant talks to.

Category	Tools
Project	project_list, project_get, project_create, project_update, project_schema, project_structure
Context	context_build, context_summarize, template_preview, prompt_list, prompt_get
Workflow	workflow_status, workflow_next, workflow_check, workflow_future
Worktrees	worktree_list, worktree_get, worktree_init, worktree_update, worktree_rm
Introspection	introspection_documents, introspection_frontmatter, introspection_slice_plan, introspection_tasks, introspection_future_work
Configuration	config_get, config_set
Guides	guide_install, guide_status, guide_update
Storage	storage_backup
Meta	agent_onboard, agent_quickstart, server_version