Atlas / MCP servers / agiflow / aicode-toolkit

aicode-toolkitBLOCK

Name: aicode-toolkit
Author: agiflow

mcp/agiflow/aicode-toolkit

MCP server by agiflow · full stack · mcp server · programming · Audited 2026-09-22

⚑ Report / re-scan Source ↗

Toolkit for Coding Agents to work reliably with repo of any size.

Verdict

BLOCK

Grade

Trust score

60 /100

Exposed tools

79 77r · 2w · 0d

Transport

sse · stdio · streamable-http

License

AGPL-3.0

Stars

162

Overview

From the repository's own README, as read at the audited commit. Badges and raw HTML are left out.

[](https://www.npmjs.com/package/@agiflowai/scaffold-mcp) [](https://opensource.org/licenses/AGPL-3.0) [](https://discord.gg/NsB6q9Vas9)

This repo provides:

project and feature scaffolding via templates
file-level design guidance before edits
rule-based review after edits
design-system discovery for frontend work

Why This Exists

As projects scale, conventions in docs like CLAUDE.md, AGENTS.md, and style guides become hard to keep concise and consistently applied by AI agents. This toolkit moves those conventions into reusable template configs (scaffold.yaml, architect.yaml, RULES.yaml) so agents can discover only the relevant guidance when needed.

Quick Start

Requirements:

Node.js >= 18
an MCP-compatible agent such as Claude Code, Cursor, or Gemini CLI

1. Initialize a Workspace

# Existing project
npx @agiflowai/aicode-toolkit init

# New project
npx @agiflowai/aicode-toolkit init --name my-app --project-type monolith

This creates templates/ and .toolkit/settings.yaml. Projects reference templates through sourceTemplate in project.json or .toolkit/settings.yaml.

2. Configure MCP

init can configure MCP automatically. For manual setup, add the servers you need to your agent config.

Example for Claude Code:

{
"mcpServers": {
"scaffold-mcp": {
"command": "npx",
"args": ["-y", "@agiflowai/scaffold-mcp", "mcp-serve", "--admin-enable"]
},
"architect-mcp": {
"command": "npx",
"args": [
"-y", "@agiflowai/architect-mcp", "mcp-serve",
"--admin-enable",
"--design-pattern-tool", "codex",
"

Read from source at commit 5805b16dc8adOBSERVED · 2026-09-22

Connect

Built from this server's own package name, version and transport as found in its source — not copied from anyone's documentation, so it cannot drift against a page we do not control. Replace the environment placeholders with a token scoped to the least it needs.

claude-code

claude mcp add style-system --env API_KEY=${API_KEY} --env AUTH_TOKEN=${AUTH_TOKEN} --env CODEX_API_KEY=${CODEX_API_KEY} --env TEST_API_KEY=${TEST_API_KEY} -- npx -y @agiflowai/[email protected]

claude-desktop

{
  "mcpServers": {
    "style-system": {
      "command": "npx",
      "args": [
        "-y",
        "@agiflowai/[email protected]"
      ],
      "env": {
        "API_KEY": "${API_KEY}",
        "AUTH_TOKEN": "${AUTH_TOKEN}",
        "CODEX_API_KEY": "${CODEX_API_KEY}",
        "TEST_API_KEY": "${TEST_API_KEY}"
      }
    }
  }
}

Exposed tools (79)

77 read · 2 write · 0 destructive.

Tool	Risk	Description
`Codex`	read	OpenAI Codex CLI agent
`Cursor`	read	Cursor AI-first code editor
`OpenSpec`	read	Spec-driven development for AI coding assistants
`Other`	read	Other coding agent or skip MCP configuration
`README`	read	Project readme
`allowed_tool`	read	Allowed
`analyze`	read	Analyze from prompt
`appName`	read	App name
`arg1`	read	First argument
`arg2`	read	Second argument
`auto-skill`	read	Auto detected skill
`auto_prompt`	read	Auto prompt
`blocked_tool`	read	Blocked
`cached_tool`	read	Cached tool description
`code-reviewer`	read	Review code for best practices
`complex-skill`	read	A multi-line\ndescription
`configured-skill`	read	Configured skill description
`configured_prompt`	read	Configured prompt
`describe_tools`	read	Mock describe tools
`doc-generator`	read	Generate documentation
`duplicate-name`	read	Prompt-based duplicate
`existing_prompt`	read	Existing prompt
`failing-skill`	read	This skill will fail
`fallback-skill`	read	Fallback prompt-based skill
`filePath`	read	File type to focus on (e.g.
`five`	read	5
`four`	read	4
`full_prompt`	read	Full prompt with all properties
`git_status`	read	Get git status
`list_tools`	read	Mock list tools
`live_tool`	read	Live tool description
`local-skill`	read	Local skill
`my-skill`	read	A skill description
`my_prompt`	read	Prompt from server A
`my_tool`	read	My tool description
`one`	read	1
`orphan-skill`	read	Skill with missing client
`other_prompt`	read	Other prompt
`pageName`	read	Page name
`pdf`	read	...
`projectPath`	read	Path to the project (e.g.,
`prompt-skill`	read	A prompt-based skill
`prompt_many_args`	read	Prompt with many arguments
`prompt_no_args`	read	Prompt without arguments
`prompt_one`	read	First prompt
`prompt_two`	read	Second prompt
`prompt_with_args`	read	Prompt with arguments
`read_file`	read	Read a file
`request`	write	Describe the boilerplate template you want to create
`review-skill`	read	Review changes
`review_code`	read	Review code changes
`scaffold-component`	read	Generate a new React component
`scaffold-feature`	read	Scaffold a feature
`scaffold-nextjs-app`	read	Next.js application template
`scaffold-route`	read	Generate a new route
`scaffold-service`	read	Service
`scaffold-tool`	read	Generate a new MCP tool
`scaffold-vite-app`	read	Vite application template
`search`	read	Search alpha
`search_docs`	read	Search docs
`service-pattern`	read	...
`serviceName`	read	Service name
`shared-name`	read	MCP tool
`shared-skill`	read	Prompt-based version
`shared_prompt`	read	Prompt from server A
`shared_tool`	read	Tool from server A
`six`	read	6
`status`	read	Status beta
`templateName`	write	Specific template to scope the sync to (e.g.
`three`	read	3
`tool-name`	read	MCP tool
`tool_one`	read	Tool one description
`tool_two`	read	Second tool
`two`	read	2
`unique-prompt-skill`	read	Unique prompt skill
`unique-tool`	read	Unique tool
`unique_prompt`	read	Unique prompt
`use_tool`	read	Mock use tool
`valid_tool`	read	Valid tool

Trust audit

BLOCKgrade D · trust 60/100 Do not install this without reading the findings. The audit found something that could harm you or your machine.

Layer	What it checks	Result
L0	Provenance & inventory	PASS
L1	Static analysis of the code	FAIL
L2	Instruction surface (what it tells the agent)	PASS
L3	Class-specific surface	PASS
L4	Behavioural (sandbox)	SKIPPED