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@arcbridge/mcp-server

v0.3.0

Published

MCP server for ArcBridge — exposes architecture tools to AI coding agents

Readme

@arcbridge/mcp-server

MCP server for ArcBridge — exposes 34 architecture tools to AI coding agents via the Model Context Protocol.

Install

npm install -g @arcbridge/mcp-server

Setup

Claude Code — add to your project's .mcp.json:

{
  "mcpServers": {
    "arcbridge": {
      "command": "npx",
      "args": ["@arcbridge/mcp-server"]
    }
  }
}

Codex CLI — add to ~/.codex/config.toml:

[mcp_servers.arcbridge]
command = "npx"
args = ["-y", "@arcbridge/mcp-server"]

Restart your AI agent and approve the MCP server when prompted.

Tools

Lifecycle

| Tool | Description | |------|-------------| | arcbridge_init_project | Initialize ArcBridge in a project directory | | arcbridge_get_project_status | Current phase, task completion, quality summary |

Architecture

| Tool | Description | |------|-------------| | arcbridge_get_building_blocks | All blocks with code paths and quality links | | arcbridge_get_building_block | Deep dive: one block with ADRs, tasks, scenarios | | arcbridge_get_quality_scenarios | Quality requirements, filterable by category/status | | arcbridge_get_relevant_adrs | ADRs for a file path or building block |

Planning

| Tool | Description | |------|-------------| | arcbridge_get_phase_plan | All phases with tasks and acceptance criteria | | arcbridge_get_current_tasks | Tasks for the active phase | | arcbridge_update_task | Mark tasks in-progress, done, blocked, or cancelled | | arcbridge_create_task | Add a task to any phase | | arcbridge_delete_task | Remove one or more tasks permanently (batch via task_ids array) | | arcbridge_create_phase | Add a new phase to the project plan | | arcbridge_delete_phase | Remove a phase and all its tasks permanently |

Code Intelligence

| Tool | Description | |------|-------------| | arcbridge_reindex | Index/re-index TypeScript symbols (incremental) | | arcbridge_search_symbols | Search by name, kind, file path, or building block | | arcbridge_get_symbol | Full detail: signature, source, relationships | | arcbridge_get_dependency_graph | Import/dependency graph for a module |

React & Next.js

| Tool | Description | |------|-------------| | arcbridge_get_component_graph | Component hierarchy with props, state, context flow | | arcbridge_get_route_map | Next.js App Router routes with layouts and middleware | | arcbridge_get_boundary_analysis | Server/client boundary analysis |

Architecture Bridge

| Tool | Description | |------|-------------| | arcbridge_check_drift | Detect drift between docs and code | | arcbridge_get_guidance | Context-aware guidance for a file or block | | arcbridge_get_open_questions | Unresolved architectural questions and risks | | arcbridge_propose_arc42_update | Generate arc42 update proposals from code changes | | arcbridge_get_practice_review | 5-dimension review: architecture, security, testing, docs, complexity | | arcbridge_update_arc42_section | Read or update any arc42 markdown section (frontmatter preserved) |

Roles & Sync

| Tool | Description | |------|-------------| | arcbridge_complete_phase | Validate phase gates and transition to next phase | | arcbridge_activate_role | Load agent role with tools and pre-loaded context | | arcbridge_verify_scenarios | Run linked tests for quality scenarios | | arcbridge_update_scenario_status | Manually update scenario status and link test files | | arcbridge_run_role_check | Run a role's quality checks against code |

Metrics

| Tool | Description | |------|-------------| | arcbridge_record_activity | Record agent activity — model, tokens, cost, duration, quality snapshot | | arcbridge_get_metrics | Query and aggregate activity by model, task, phase, tool, or day | | arcbridge_export_metrics | Export metrics to JSON, CSV, or Markdown for git commits |

How It Works

The server communicates over stdio using the MCP protocol. Each tool call receives a target_dir parameter pointing to an ArcBridge-initialized project. The server manages a SQLite database (.arcbridge/index.db) that caches architecture docs, indexed symbols, and planning state.

Data flow: YAML/markdown (source of truth) -> SQLite (query cache) -> MCP tools (agent interface)

All mutations (task updates, phase transitions, scenario results) write back to both the database and the source YAML files, so the docs stay in sync.

License

MIT