Claude Desktop ↔ Claude Code MCP Bridge

Claude Desktop ↔ Claude Code MCP Bridge

A bidirectional MCP bridge that lets Claude Desktop and Claude Code collaborate on a build with no human in the execution loop.

Category
访问服务器

README

Claude Desktop ↔ Claude Code MCP Bridge

What this is

A bidirectional MCP bridge that lets Claude Desktop and Claude Code collaborate on a build with no human in the execution loop. Desktop writes a plan; Code picks it up, implements it, streams progress, and submits a completion summary; Desktop approves or rejects (with a reason); Code revises on rejection or finalizes on approval. The two sides never talk directly — they communicate through a shared SQLite database and a small set of markdown files under ~/.claude-bridge/. Two stdio FastMCP servers expose the tools each side calls.

~/.claude-bridge/
├── bridge.db          # SQLite: projects, updates, completions, approvals
├── plans/             # Desktop writes <project_id>.md here
└── status/            # Code writes <project_id>_status.md here

claude_desktop_mcp/
├── desktop_server.py  # FastMCP server registered with Claude Desktop
├── code_server.py     # FastMCP server registered with Claude Code (CLI)
├── db.py              # All SQLite schema + access (async, aiosqlite)
├── models.py          # Shared Pydantic v2 models (rows + tool inputs)
├── config.py          # Paths, server names, status constants
└── requirements.txt

Both servers import from db.py and models.py; no DB logic is duplicated between them.

Install

A dedicated virtual environment is strongly recommended — both servers are spawned by the host app (Claude Desktop / Claude Code), and a venv with a concrete interpreter path is the most reliable target (especially on Windows, where the Microsoft Store "App execution alias" Python can fail when launched by a packaged app).

# from the project directory
python -m venv .venv

# Windows
.venv\Scripts\python.exe -m pip install -r requirements.txt
# macOS / Linux
.venv/bin/python -m pip install -r requirements.txt

The interpreter to reference in the config snippets is then:

  • Windows: <project>\.venv\Scripts\python.exe
  • macOS / Linux: <project>/.venv/bin/python

(You can skip the venv and pip install -r requirements.txt into any Python 3.11+, but then make sure the command in the configs points at that interpreter.)

Requires Python 3.11+. Dependencies: mcp[cli], fastmcp, aiosqlite, aiofiles, pydantic>=2.0.

Initialize the shared state directory and database (also runs automatically on the first tool call):

# Windows
.venv\Scripts\python.exe db.py
# macOS / Linux
.venv/bin/python db.py

This creates ~/.claude-bridge/ with plans/, status/, and bridge.db.

How to register

Both servers run over stdio and are launched by the host (Desktop / Code) via its MCP config. Use the ready-made snippets in this folder:

  • claude_desktop_config.snippet.json → Claude Desktop
  • claude_code_config.snippet.json → Claude Code

Claude Desktop

Add the claude_bridge_desktop entry to your claude_desktop_config.json:

{
  "mcpServers": {
    "claude_bridge_desktop": {
      "command": "C:\\Users\\quack\\documents\\projects\\claude_desktop_mcp\\.venv\\Scripts\\python.exe",
      "args": ["C:\\Users\\quack\\documents\\projects\\claude_desktop_mcp\\desktop_server.py"],
      "env": {}
    }
  }
}

Config file location:

OS Path
Windows (standard installer) %APPDATA%\Claude\claude_desktop_config.json (e.g. C:\Users\<you>\AppData\Roaming\Claude\claude_desktop_config.json)
Windows (Microsoft Store / packaged install) %LOCALAPPDATA%\Packages\Claude_<id>\LocalCache\Roaming\Claude\claude_desktop_config.json (e.g. ...\Packages\Claude_pzs8sxrjxfjjc\LocalCache\Roaming\Claude\...)
macOS ~/Library/Application Support/Claude/claude_desktop_config.json
Linux ~/.config/Claude/claude_desktop_config.json

If Claude Desktop was installed from the Microsoft Store, it uses a virtualized Roaming folder under %LOCALAPPDATA%\Packages\Claude_<id>\LocalCache\Roaming\Claude — editing the standard %APPDATA%\Claude path will have no effect. Merge into the existing file (it may already contain other mcpServers); don't overwrite it.

Restart (fully quit and reopen) Claude Desktop after editing — the config is read at launch.

Claude Code (CLI)

The simplest way is the CLI, which writes the right config for you:

claude mcp add claude_bridge_code --scope user -- "C:\Users\quack\documents\projects\claude_desktop_mcp\.venv\Scripts\python.exe" "C:\Users\quack\documents\projects\claude_desktop_mcp\code_server.py"

--scope user makes the bridge available in every project. Restart Claude Code (or start a new session) afterward so it loads the server.

Or add the claude_bridge_code entry manually to the appropriate MCP config (e.g. .mcp.json in your project root, or your user-level Claude Code config):

{
  "mcpServers": {
    "claude_bridge_code": {
      "command": "C:\\Users\\quack\\documents\\projects\\claude_desktop_mcp\\.venv\\Scripts\\python.exe",
      "args": ["C:\\Users\\quack\\documents\\projects\\claude_desktop_mcp\\code_server.py"],
      "env": {}
    }
  }
}

Path note: the command points at the project's venv interpreter (.venv\Scripts\python.exe on Windows, .venv/bin/python on macOS/Linux) — the one you installed the dependencies into. Avoid the bare Microsoft Store python.exe alias here; packaged host apps may fail to launch it. JSON requires escaped backslashes (\\) in Windows paths.

Tool argument shape

Important: every tool whose table lists parameters takes a single object argument named params — the tool input is one Pydantic model, so the JSON the MCP client sends is {"params": { ... }}, not flat top-level fields. Tools that take no parameters (bridge_get_approval_queue, bridge_list_projects, bridge_get_pending_plan) are called with {}.

For example, bridge_send_plan is invoked as:

{ "params": { "title": "Add CSV export", "plan_markdown": "# Goal\n..." } }

In practice you just tell Claude what to do ("send this plan to Code") and it fills in the params object; the shape above is what travels over the wire.

Typical workflow

The examples below show each tool with its params payload.

  1. Desktop registers a plan. In Claude Desktop, call bridge_send_plan:
    bridge_send_plan  params={"title": "Add CSV export", "plan_markdown": "# Goal\n..."}
    → { "project_id": "ab12cd34ef56", "status": "pending", "plan_path": "...", ... }
    
  2. Code picks it up. In Claude Code:
    bridge_get_pending_plan  (no params)   → returns project_id, title, full plan markdown
    bridge_claim_project  params={"project_id": "ab12cd34ef56"}   → status: in_progress
    
  3. Code streams progress while implementing:
    bridge_send_update  params={"project_id": "ab12cd34ef56", "message": "Wrote exporter module"}
    bridge_send_update  params={"project_id": "ab12cd34ef56", "message": "Added tests"}
    
  4. Code submits completion:
    bridge_send_completion  params={
      "project_id": "ab12cd34ef56",
      "files_created": ["export.py", "test_export.py"],
      "files_modified": ["cli.py"],
      "summary": "CSV export end to end",
      "caveats": null}                → status: awaiting_approval
    
  5. Desktop reviews:
    bridge_get_approval_queue  (no params)            → project + completion summary
    bridge_get_project_updates  params={"project_id": "ab12cd34ef56"}
    
  6. Desktop decides:
    bridge_approve  params={"project_id": "ab12cd34ef56"}                → status: approved
    # or
    bridge_reject  params={"project_id": "ab12cd34ef56", "reason": "Handle empty rows"}  → status: rejected
    
  7. Code learns the outcome by polling:
    bridge_get_approval_status  params={"project_id": "ab12cd34ef56"}
    
    • Approved → the project is finalized to complete.
    • Rejected → the response includes the rejection reason. Code calls bridge_reset_for_revision with params={"project_id": "ab12cd34ef56"} (status → in_progress), revises, and submits a new completion. The loop repeats until approved.

Status lifecycle

pending → in_progress → awaiting_approval → approved → complete
                ▲                              │
                └──────── rejected ◄───────────┘   (bridge_reset_for_revision)

Each tool validates the current status before transitioning and returns a clear ERROR: ... string if the transition is invalid.

Tool reference

Desktop server (claude_bridge_desktop)

Tool Purpose
bridge_send_plan Register a new project + plan (writes plans/<id>.md)
bridge_get_approval_queue List projects awaiting approval, with completion summaries
bridge_get_project_updates All progress updates for a project
bridge_approve Approve completed work
bridge_reject Reject with a reason; sends work back
bridge_get_project_status Full project state (status, updates, completion, decision)
bridge_list_projects All projects, newest first

Code server (claude_bridge_code)

Tool Purpose
bridge_get_pending_plan Retrieve the oldest pending plan + markdown
bridge_claim_project Mark a pending project in_progress
bridge_send_update Append a progress message (also writes status/<id>_status.md)
bridge_send_completion Submit finished-work summary → awaiting_approval
bridge_get_approval_status Poll for approval/rejection (finalizes approvedcomplete)
bridge_reset_for_revision Re-enter in_progress after a rejection

State directory

~/.claude-bridge/ (on Windows, C:\Users\<you>\.claude-bridge\):

  • bridge.db — SQLite with four tables: projects, updates, completions, approvals. Foreign keys link updates/completions/approvals back to projects.
  • plans/<project_id>.md — the exact plan markdown Desktop submitted.
  • status/<project_id>_status.md — a running log: one timestamped line per progress update, plus a structured ## Completion block each time Code submits a completion.

You can safely inspect these files by hand. To reset everything, delete bridge.db and the contents of plans/ and status/, then run python db.py again.

HTTP API Server

A lightweight FastAPI server (api_server.py) exposes the bridge database over http://localhost:7823. A browser-based dashboard artifact in Claude Desktop can poll it for live project status without any MCP or stdio involvement.

How to start

Option A — visible terminal:

start_api.bat

Option B — hidden background process: Double-click start_api.vbs (no terminal window appears). It also runs automatically on login via the Windows startup folder.

Endpoints

Method Path Description
GET /health Server health + DB path
GET /projects All projects, newest first
GET /projects/{id} Full project detail: project + updates + completion + approval
POST /projects/{id}/approve Approve a project (must be awaiting_approval)
POST /projects/{id}/reject Reject a project; body: {"reason": "..."}

Example curl calls

curl http://localhost:7823/health
curl http://localhost:7823/projects
curl http://localhost:7823/projects/abc123def456
curl -X POST http://localhost:7823/projects/abc123def456/approve
curl -X POST http://localhost:7823/projects/abc123def456/reject -H "Content-Type: application/json" -d "{\"reason\": \"needs better error handling\"}"

Auto-start on login

start_api.vbs is copied to %APPDATA%\Microsoft\Windows\Start Menu\Programs\Startup\ so the API server starts automatically every time you log in alongside the bridge loop. To disable, delete start_api.vbs from that folder.

Running the Persistent Loop

The bridge loop keeps Claude Code running in the background so Claude Desktop can push plans at any time and Code picks them up automatically — no manual intervention needed on the Code side.

Files

File Purpose
run_loop.bat Activates the venv, launches Claude Code with the bridge prompt, and auto-restarts on exit
start_bridge.vbs Launches run_loop.bat as a hidden background window (no terminal stays open)
stop_bridge.bat Kills the running Claude Code process
bridge_status.bat Shows running Claude processes and the last 10 lines of loop.log

How to start

Option A — visible terminal (useful for debugging):

run_loop.bat

Option B — hidden background process: Double-click start_bridge.vbs (or invoke it via wscript.exe start_bridge.vbs). No terminal window appears.

How to stop

Run stop_bridge.bat or:

taskkill /F /IM claude.exe /T

How to check status

Run bridge_status.bat — it lists active claude.exe processes and prints the last 10 lines of the log file.

Startup registration

start_bridge.vbs is copied into %APPDATA%\Microsoft\Windows\Start Menu\Programs\Startup\ so the loop starts automatically every time you log in. To disable autostart, delete start_bridge.vbs from that folder.

Log file

Every time the loop restarts, a timestamped line is appended to:

C:\Users\quack\.claude-bridge\loop.log

This lets you see how often Claude Code was restarted and when each session began.

Troubleshooting

  • ERROR: cannot <action> project in status '<x>'; expected '<y>'. — A status transition was attempted out of order (e.g. completing a project that was never claimed, or approving one that isn't awaiting_approval). Check the current state with bridge_get_project_status / bridge_list_projects and follow the lifecycle above.
  • ERROR: project not found: <id> — Wrong/typo'd project_id. Use bridge_list_projects to find the correct id.
  • ERROR: a non-empty 'reason' is required to reject a project.bridge_reject needs a reason; supply one.
  • ERROR: plan file missing for project <id>: <path> — The plans/<id>.md file was deleted out from under the DB. Re-send the plan with bridge_send_plan (creates a new project) or restore the file.
  • Database is locked. SQLite serializes writers; the bridge uses short-lived async connections so this is rare. If it happens, ensure you don't have an external tool holding a long transaction on bridge.db, then retry — the offending tool will simply return an ERROR: ... string and can be called again.
  • Server not found / tools don't appear. Confirm the command path points at the interpreter where dependencies are installed (pip show mcp), that the args path to the *_server.py file is correct and absolute, and that you restarted the host (Desktop) or re-ran claude mcp add (Code). On Windows, JSON requires escaped backslashes (\\) in paths.
  • Nothing happens after bridge_send_plan. Code only acts when you ask it to call bridge_get_pending_plan (and the rest). The bridge is pull-based polling, not a push notification system.

推荐服务器

Baidu Map

Baidu Map

百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。

官方
精选
JavaScript
Playwright MCP Server

Playwright MCP Server

一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。

官方
精选
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。

官方
精选
本地
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。

官方
精选
本地
TypeScript
VeyraX

VeyraX

一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。

官方
精选
本地
graphlit-mcp-server

graphlit-mcp-server

模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。

官方
精选
TypeScript
Kagi MCP Server

Kagi MCP Server

一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。

官方
精选
Python
e2b-mcp-server

e2b-mcp-server

使用 MCP 通过 e2b 运行代码。

官方
精选
Neon MCP Server

Neon MCP Server

用于与 Neon 管理 API 和数据库交互的 MCP 服务器

官方
精选
Exa MCP Server

Exa MCP Server

模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。

官方
精选