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CTS MCP Server

CTS MCP服务器是一个用于Close-to-Shore方法自动化的模型上下文协议服务器,提供自动化任务创建和交互式D3可视化功能,适用于Godot游戏开发。

未说明官方级别未说明来源级核验工具 3
数据可视化性能优化HTMLClaude游戏开发Claude DesktopVS Code

快速开始

公开资料没有提供安装命令,按仓库或官方文档接入。
作者 / 组织
EricA1019
提供方
EricA1019

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3

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0

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2 个

MCP World

选型结论

CTS MCP Server 属于浏览器工具类 MCP Server,公开资料标注 3 个工具,通过传输方式未标注接入,适配 Claude Desktop、Claude、VS Code,没有现成的安装命令;接入前先确认权限范围。

分类

浏览器工具

传输方式

未说明

认证方式

无需认证

部署方式

公开资料未说明

安装与配置

公开目录没有给出安装命令,需要按仓库 README安装;下面按同类条目的通用流程说明。

公开命令不是通用的启动方式,拼不出可靠配置示例;请在客户端 MCP 配置里按官方文档填写 command 和 args。

上手步骤

  1. 1

    先确认运行方式

    公开资料没有标注传输方式,先看仓库 README,确认是本地进程还是远程地址。

  2. 2

    获取服务

    公开目录没有给出安装命令,按仓库 README里的步骤安装或获取服务。

  3. 3

    写入客户端配置

    在客户端的 MCP 配置里填启动命令和参数,保存后完全退出客户端再打开,让新配置生效。

  4. 4

    验证是否可用

    连接成功后客户端会列出 3 个工具,随便调一个只读工具确认能返回结果。

接入前确认

不要直接授予不必要的文件、网络或账号权限;先核对安装命令和配置内容。

公开资料仍需确认:安装命令

详细介绍

CTS MCP Server

Version: 3.1.0 Protocol: Model Context Protocol 2024-11-05 Status: ✅ Production Ready

Model Context Protocol server for Close-to-Shore (CTS) methodology automation, providing automated task creation in Shrimp MCP and interactive D3 artifact visualization (signal maps, hop dashboards, dependency graphs) for Godot game development.

Features

Phase 3: Production-Ready Visualizations (v3.1.0 - NEW! 🎨)

  • 🎯 Real D3 Signal Maps: Interactive force-directed graphs with signal relationship detection

- Automatic clustering and community detection - Zoom, pan, drag, filter by EventBus/SignalBus - Lazy loading for large projects (>100 nodes) - Export to PNG/SVG/PDF

  • 📊 Hop Dashboard Renderer: Gantt-style task progress visualization

- Phase-based timeline with dependency arrows - Color-coded status (planned/in_progress/completed) - LOC budget tracking and CTS compliance stats - Progressive rendering for large projects (>10 hops)

  • ⚡ Performance Optimizations:

- 100 nodes (initial batch: 50 nodes)

  • 🎨 Dark/Light Themes: Automatic theme detection (respects VS Code theme)
  • 📦 Export: PNG/SVG/PDF via browser APIs (see docs/API.md)
  • 🔍 Signal Search: Filter by name, file, or type

Hop Dashboard Example:

echo '{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "CTS_Render_Artifact",
    "arguments": {
      "artifactType": "hop_dashboard",
      "data": {
        "phases": [
          {
            "name": "Phase 1: Foundation",
            "hops": [
              {
                "id": "1.1a",
                "name": "Project Setup",
                "status": "completed",
                "description": "Initialize Godot project",
                "estimatedLOC": 200,
                "actualLOC": 185,
                "ctsCompliant": true,
                "phase": "Phase 1: Foundation",
                "dependencies": []
              },
              {
                "id": "1.2a",
                "name": "Signal Architecture",
                "status": "in_progress",
                "description": "Implement EventBus",
                "estimatedLOC": 300,
                "ctsCompliant": true,
                "phase": "Phase 1: Foundation",
                "dependencies": ["1.1a"]
              }
            ]
          }
        ]
      },
      "metadata": {
        "title": "Project Roadmap"
      }
    }
  }
}' | node build/index.js

Features:

  • 📊 Gantt Timeline: Horizontal phase-based layout
  • 🎨 Status Colors: Planned (gray), in_progress (blue), completed (green)
  • ➡️ Dependency Arrows: Left-to-right flow with curved paths
  • 📈 Stats Panel: Completion rate, LOC budget, CTS compliance
  • 🔄 Progressive Rendering: Automatic for dashboards >10 hops (yields to main thread)

3. CTS_Scan_Project_Signals

Scan Godot project for EventBus/SignalBus signal definitions and optionally render signal map.

Input:

{
  "projectPath": "/home/user/Godot/MyProject",
  "renderMap": true
}

Output:

{
  "success": true,
  "timestamp": "2025-11-04T15:30:00Z",
  "toolName": "CTS_Scan_Project_Signals",
  "result": {
    "projectPath": "/home/user/Godot/MyProject",
    "totalSignals": 55,
    "eventBusSignals": 42,
    "signalBusSignals": 13,
    "signals": [
      {"name": "player_health_changed", "source": "EventBus", "params": ["new_health", "old_health"], "file": "scripts/player.gd", "line": 42}
    ],
    "rendered": true,
    "html": "...",
    "cached": false
  }
}

Performance:

  • ~500ms scan time for 1000-file projects
  • 500 signals) with lazy loading

Documentation

  • 📖 API Reference: Comprehensive API documentation for all tools, artifact types, and renderer APIs
  • 🚀 Deployment Guide: Production deployment strategies (systemd, PM2, Docker)
  • 🧪 Integration Examples: Full code examples for signal scanning, artifact rendering, export

Quick Start

Installation

cd cts_mcp
npm install
npm run build

Verify Installation:

npm test
# Expected: 868+ tests passing

Enable Production Renderers

export CTS_EXPERIMENTAL_MCP_UI=true
npm start

The server listens on stdin and writes to stdout using JSON-RPC 2.0 protocol.

VS Code Integration

Add to .vscode/settings.json:

{
  "mcpServers": {
    "cts": {
      "command": "node",
      "args": ["/path/to/cts_mcp/build/index.js"],
      "env": {
        "CTS_EXPERIMENTAL_MCP_UI": "true"
      }
    }
  }
}

Claude Desktop Integration

Add to ~/Library/Application Support/Claude/claude_desktop_config.json:

{
  "mcpServers": {
    "cts": {
      "command": "node",
      "args": ["/path/to/cts_mcp/build/index.js"],
      "env": {
        "CTS_EXPERIMENTAL_MCP_UI": "true"
      }
    }
  }
}

Examples

Example 1: Render Signal Map

# 1. Create test data
cat > test_signals.json /dev/null | jq '.result.content[0].text' -r | jq -r '.html' > signal_map.html

# 3. Open in browser
xdg-open signal_map.html

Result: Interactive D3.js force-directed graph with 2 signals and 4 connections.

Example 2: Render Hop Dashboard

# 1. Create test data
cat > test_hops.json /dev/null | jq '.result.content[0].text' -r | jq -r '.html' > hop_dashboard.html

# 3. Open in browser
xdg-open hop_dashboard.html

Result: Interactive React dashboard with 2 hops, status filtering, and statistics panel.

Example 3: Export to Shrimp (Requires Shrimp MCP Running)

# 1. Start Shrimp MCP server (in separate terminal)
# (Follow Shrimp MCP setup instructions)

# 2. Create hop plan
cat > hop_plan.json  void:
    # Initialize MCP client
    mcp_client = BDMCPClient.new()
    add_child(mcp_client)
    
    # Register CTS MCP server
    var error := CTSMCPConfig.register_cts_server(mcp_client)
    if error != OK:
        push_error("Failed to register CTS MCP server: ", error)
        return
    
    # Connect to server (starts stdio subprocess)
    error = CTSMCPConfig.connect_to_cts_server(mcp_client)
    if error != OK:
        push_error("Failed to connect to CTS MCP server: ", error)
        return
    
    print("✅ CTS MCP server ready!")
    
    # Example: Export hop plan to Shrimp
    _export_example_hop()

func _export_example_hop() -> void:
    var hop_plan := {
        "phases": [{
            "name": "Phase 1: Foundation",
            "hops": [{
                "id": "1.1",
                "name": "Setup TypeScript Project",
                "description": "Initialize npm project with TypeScript config",
                "estimatedLOC": 200,
                "dependencies": []
            }]
        }]
    }
    
    var response := CTSMCPConfig.call_export_to_shrimp(
        mcp_client,
        hop_plan,
        "append",  # updateMode: append, overwrite, selective, clearAllTasks
        true       # generateSubTasks
    )
    
    if response.has("error"):
        push_error("❌ Export failed: ", response.error.message)
        return
    
    print("✅ Tasks created: ", response.content.tasksCreated)
    print("📋 Task IDs: ", response.content.taskIds)

API Reference

CTSMCPConfig.register_cts_server(client: BDMCPClient) -> Error

Registers the CTS MCP server configuration with the MCP client.

Parameters:

  • client: BDMCPClient instance

Returns: Error enum (OK or error code)

Example:

var error := CTSMCPConfig.register_cts_server(mcp_client)
if error != OK:
    push_error("Registration failed: ", error)
CTSMCPConfig.connect_to_cts_server(client: BDMCPClient) -> Error

Connects to the CTS MCP server (starts stdio subprocess).

Parameters:

  • client: BDMCPClient instance (must be registered first)

Returns: Error enum (OK or error code)

Example:

var error := CTSMCPConfig.connect_to_cts_server(mcp_client)
if error != OK:
    push_error("Connection failed: ", error)
CTSMCPConfig.call_export_to_shrimp(client: BDMCPClient, hop_plan: Dictionary, update_mode: String, generate_sub_tasks: bool) -> Dictionary

Exports a hop plan to Shrimp MCP as tasks.

Parameters:

  • client: BDMCPClient instance (must be connected)
  • hop_plan: Hop plan dictionary (see schema below)
  • update_mode: Task update mode ("append", "overwrite", "selective", "clearAllTasks")
  • generate_sub_tasks: Whether to split hops into subtasks

Returns: Dictionary with keys:

  • content: { tasksCreated: int, taskIds: Array, details: Array }
  • error: { code: String, message: String } (if failed)

Hop Plan Schema:

{
    "phases": [
        {
            "name": "Phase Name",
            "hops": [
                {
                    "id": "1.1",
                    "name": "Hop Name",
                    "description": "Hop description",
                    "estimatedLOC": 200,
                    "dependencies": ["0.9"]  # Optional
                }
            ]
        }
    ]
}

Example:

var response := CTSMCPConfig.call_export_to_shrimp(
    mcp_client,
    {"phases": [...]},
    "append",
    true
)
print("Tasks created: ", response.content.tasksCreated)

Advanced Usage

Call other CTS tools directly:

# CTS_Scan_Project_Signals
var scan_args := {
    "projectPath": "/home/user/Godot/MyProject",
    "includeEventBusOnly": true
}
var scan_response := mcp_client.call_tool("cts_mcp", "CTS_Scan_Project_Signals", scan_args)
print("Signals found: ", scan_response.content.signalsFound)

# CTS_Render_Artifact (Signal Map V2)
var artifact_args := {
    "artifactType": "signal_map_v2",
    "data": JSON.stringify({
        "signals": scan_response.content.data.signals,
        "filters": {}
    })
}
var artifact_response := mcp_client.call_tool("cts_mcp", "CTS_Render_Artifact", artifact_args)
print("Artifact HTML saved to: ", artifact_response.content.filePath)

Error Handling

# Check if CTS MCP server is available before calling
var error := CTSMCPConfig.register_cts_server(mcp_client)
if error == ERR_FILE_NOT_FOUND:
    push_error("CTS MCP server not built. Run: cd cts_mcp && npm run build")
    return
elif error != OK:
    push_error("Failed to register CTS MCP server: ", error)
    return

# Handle tool call errors
var response := mcp_client.call_tool("cts_mcp", "CTS_Export_to_Shrimp", arguments)
if response.has("error"):
    push_error("Tool call failed: ", response.error.message)
    push_error("Error code: ", response.error.code)

Debugging

Enable debug logging in BDMCPClient:

# In autoload/EventBus.gd or your initialization script
EventBus.mcp_debug_enabled = true

# Now all MCP communication will be logged:
# [MCP] Sending request: {"jsonrpc":"2.0",...}
# [MCP] Received response: {"result":...}

Check CTS MCP server logs:

# Run CTS MCP server manually to see logs
node build/index.js

# Send test request
echo '{"jsonrpc":"2.0","id":1,"method":"tools/list"}' | node build/index.js

Testing

The CTS MCP integration is validated by GUT tests in test/cts_mcp/test_cts_mcp_client.gd.

Run tests via Godot Editor:

  1. Open Godot Editor: godot4 --path /home/eric/Godot/ProtoBd --editor
  2. Navigate to: Bottom Panel → GUT → Run Tests
  3. Select test/cts_mcp/test_cts_mcp_client.gd in the test list
  4. Click "Run" button
  5. View results in GUT panel

Test Coverage:

  • Server registration and connection
  • Tool list retrieval
  • CTS_Export_to_Shrimp calls with various hop plans
  • Error handling (invalid arguments, server unavailable)
  • Response validation (schema compliance)

Example test structure:

godot4 --path . --headless -s addons/gut/gut_cmdln.gd -gtest=res://test/cts_mcp/

# Or use the GUT panel in Godot Editor
# Navigate to: Bottom Panel -> GUT -> Select test/cts_mcp/test_cts_mcp_client.gd -> Run

Expected test results:

  • ✅ test_cts_server_registration - Registers server successfully
  • ✅ test_cts_connection - Connects to server
  • ✅ test_list_cts_tools - Lists 9+ tools (CTS_Export_to_Shrimp, CTS_Render_Artifact, etc.)
  • ✅ test_call_export_to_shrimp - Calls tool and receives response
  • ✅ test_error_handling_missing_binary - Handles missing binary gracefully
  • ✅ test_connection_timeout - Handles connection timeout
  • ✅ test_server_lifecycle - Full lifecycle (register, connect, disconnect)

Architecture

Technology Stack

  • Runtime: Node.js 20+
  • Language: TypeScript 5.0 (strict mode)
  • Protocol: Model Context Protocol (stdio transport)
  • Validation: Zod 3.22
  • Visualization: D3.js 7 (CDN), React 18 (CDN)
  • Testing: Jest 29.7

Project Structure

cts_mcp/
├── src/
│   ├── index.ts                # Entry point (stdio transport)
│   ├── server.ts               # MCP server (protocol handlers)
│   ├── types.ts                # TypeScript interfaces
│   ├── parser/
│   │   ├── tree_sitter_bridge.ts    # WASM tree-sitter integration (Phase 2)
│   │   ├── signal_extractor.ts      # AST signal extraction (Phase 2)
│   │   └── parser_diagnostics.ts    # Regression testing (Phase 2)
│   ├── artifacts/
│   │   ├── artifact_engine.ts       # Renderer routing + caching
│   │   ├── metadata.ts              # Versioning system (Phase 2)
│   │   ├── types.ts                 # Artifact schemas
│   │   ├── clustering/
│   │   │   └── community_detection.ts  # Greedy modularity (Phase 2)
│   │   ├── parsers/
│   │   │   └── gdscript_parser.ts   # Signal extraction (Phase 1)
│   │   └── renderers/
│   │       ├── d3_signal_map.ts           # Basic force-directed (Phase 1)
│   │       ├── d3_signal_map_v2.ts        # Clustered map (Phase 2)
│   │       ├── dependency_graph.ts        # Connection tracking (Phase 2)
│   │       ├── performance_trends.ts      # Time-series (Phase 2)
│   │       └── react_hop_dashboard.ts     # React dashboard (Phase 1)
│   ├── metrics/
│   │   └── performance_pipeline.ts  # Trend data collection (Phase 2)
│   ├── tools/
│   │   ├── cts_export_to_shrimp.ts  # Shrimp integration
│   │   ├── render_artifact.ts       # Artifact tool
│   │   └── scan_project_signals.ts  # Signal scanner
│   └── integrations/
│       └── webview_manager_template.ts  # VS Code webview
├── test/
│   ├── __tests__/                   # Jest tests (188 total)
│   │   ├── tree_sitter_bridge.test.ts (12 tests)
│   │   ├── signal_extractor.test.ts (15 tests)
│   │   ├── parser_diagnostics.test.ts (30 tests)
│   │   ├── clustered_signal_map.test.ts (19 tests)
│   │   └── ... (other test files)
│   └── fixtures/
│       ├── *.gd                     # GDScript test files (20 files)
│       └── ground_truth/*.json      # Expected extraction results
├── docs/
│   ├── signals/
│   │   └── PHASE_2_SIGNAL_CONTRACTS.md
│   ├── architecture/decisions/
│   │   ├── ADR_TREE_SITTER_ADOPTION.md
│   │   └── ADR_CLUSTERING_STRATEGY.md
│   ├── guides/
│   │   └── PHASE_2_MIGRATION.md
│   └── PHASE_CTS_MCP_2_COMPLETION_REPORT.md
├── scripts/
│   └── benchmark_clustering.js      # Performance benchmarks
├── build/                           # Compiled JavaScript
├── package.json
├── tsconfig.json
└── jest.config.cjs

Performance

MetricTargetActual (Phase 2)Status
Server Startup<2s46ms✅ 97.7% faster
Tool Routing<100ms1-2ms✅
Signal Parsing (1K LOC)<250ms12.5ms✅ 20x faster
Signal Map (Basic, 50 nodes)<500ms180ms✅
Signal Map (Clustered, 150 nodes)<1000ms400ms✅ 2.5x faster
Clustering (150 nodes)<750ms3ms✅ 250x faster
Dependency Graph (150 nodes)<800ms300ms✅
Performance Trends (1K samples)<500ms250ms✅
Cache Lookup<10ms<1ms✅

Development

Build

npm run build          # Compile TypeScript → JavaScript
npm run dev            # Development mode (no build)

Testing

npm test               # Run all tests
npm run test:coverage  # Run with coverage report
npm run test:watch     # Watch mode

Test Results:

  • ✅ 23/23 tests passing (100% pass rate)
  • ✅ 85% functional coverage
  • ✅ <2s test execution time

Code Quality

tsc --noEmit          # Type checking
npm run build         # Compilation (0 errors)

Configuration

Environment Variables

  • DEBUG=true - Enable verbose logging
  • SHRIMP_MCP_PATH=/path/to/shrimp/build/index.js - Custom Shrimp path

Cache Configuration

Default cache settings in src/artifacts/artifact_engine.ts:

private maxCacheSize = 50;  // Max artifacts cached
private maxCacheAge = 3600000;  // 1 hour (unused, artifacts are immutable)

Troubleshooting

Issue: "Shrimp MCP not found"

Cause: CTS_Export_to_Shrimp cannot reach Shrimp MCP server

Solution:

  1. Ensure Shrimp MCP server is running
  2. Check Shrimp path configuration
  3. Verify stdio IPC permissions

Issue: Artifact render timeout

Cause: Large dataset (100+ signals) exceeds render budget

Solution:

  1. Filter signals before rendering (use includeEventBusOnly: true)
  2. Increase timeout in VS Code extension
  3. Phase 2 will add graph clustering

Issue: TypeScript compilation errors

Cause: Missing type definitions or syntax errors

Solution:

npm install          # Ensure dependencies installed
npm run build        # Check for specific errors

Documentation

Guides

Infrastructure

Technical Details

Architecture Decision Records

Project Documentation

Contributing

See CONTRIBUTING.md for development guidelines.

License

MIT License - See LICENSE.txt

Changelog

v3.0.0 (October 31, 2025)

Tier 0 & Tier 1 Complete ✅ - Template-First MCP Development

  • ✅ New Tools: Added 4 tools using template-first design:

- CTS_Reasoning (template-driven iteration, 750 LOC) - CTS_Bughunter (search + heuristic scan, 720 LOC) - CTS_Cleanup (filesystem tidy, 740 LOC) - CTS_Audit_Project (compliance checks, 740 LOC)

  • ✅ Tree-Sitter Fix: Migrated to WASM (web-tree-sitter)

- Unblocked 3 tools: scan_project_signals, analyze_project, suggest_refactoring - AST parsing with caching (<50ms per file, <1ms cached) - Headless CI/CD compatible (no native module compilation)

  • ✅ MCP Tool Templates (Tier 0):

- TypeScript template: 460 lines, 5 sections (Zod, MCPError, logging, performance tracking) - Rust template: 483 lines, 5 sections (safe mutex, tracing, async/await) - Template compliance audit: 13 tools scored (avg 64/100, max 90/100)

  • ✅ Architecture Enhancements:

- Signal contracts (Section 10): Cross-MCP data flow schemas - Performance budgets (Section 11): <100ms sync tools, <5s async tools - Integration topology (Section 12): Coordinator pattern documentation

  • ✅ GDScript Integration: MCPClient for CTS tool calling from Godot
  • ✅ Breaking Changes:

- Requires Node.js 18+ (ESM modules, WASM support) - tree-sitter → web-tree-sitter (native bindings removed) - 9 total tools (5 existing + 4 new)

Metrics:

  • Total Tools: 9 (5 existing + 4 new template-based)
  • Total LOC: ~4,500 (implementation) + ~1,200 (tests)
  • Performance: All tools meet <100ms sync / <5s async budgets
  • CTS Compliance: 100% (all files <500 lines)
  • Template Compliance: 90% (cts_export_to_shrimp reference implementation)

v1.0.0 (2025-10-30)

Phase CTS_MCP_1 Complete ✅

  • ✅ MCP server with stdio transport
  • ✅ Shrimp integration (CTS_Export_to_Shrimp tool)
  • ✅ D3.js signal map renderer (force-directed graph)
  • ✅ React hop dashboard renderer (interactive filtering)
  • ✅ GDScript parser (signal extraction)
  • ✅ Artifact caching (SHA-256 + LRU)
  • ✅ 23 integration tests (100% pass rate)
  • ✅ 85% functional coverage

Metrics:

  • Total LOC: 1,097 (implementation) + 450 (tests)
  • Performance: 97.7% faster than targets
  • CTS Compliance: 100% (all files <500 lines)

Roadmap

Phase 2 (Planned)

  • Dependency graph renderer (visualize hop dependencies)
  • Performance chart renderer (LOC over time)
  • Graph clustering (100+ signal support)
  • Tree-sitter GDScript parser (robust signal extraction)

Phase 3 (Future)

  • Sandpack integration (game visualizers)
  • Scene preview renderer
  • Interactive mechanic demos

Maintained by: Development Team Questions?: See MCP_PROTOCOL.md or open an issue

工具与能力

工具数量

3

资源数量

0

提示词数量

0

能力标签

HTML本地部署游戏开发自动化工具数据可视化任务管理性能优化

支持客户端

Claude DesktopClaudeVS Code

数量来自来源目录的标注,具体工具清单以官方文档为准。

典型使用场景

自动操作网页

打开页面、点击、填表,把浏览器动作交给模型执行。

抓结构化数据

把页面内容整理成表格或 JSON,省掉手工复制粘贴。

走一遍关键流程

按步骤检查页面是否正常,回归时少漏环节。

选择建议

值得选的地方

  • 只提供 3 个工具,职责集中,接入后不容易误操作。
  • 已经适配 Claude Desktop、Claude、VS Code,换客户端不用重新研究配置。
  • 公开说明写得比较完整,接入前能看清能力边界。

先想清楚的地方

  • 公开资料没有可直接复制的安装命令,第一次接入要自己找入口。
  • 第三方目录整理,版本更新和行为细节以官方仓库为准。

更适合

  • 需要在浏览器工具场景里让模型直接调用外部能力的人。
  • 已经在用 Claude Desktop 的用户,接入路径最短。
  • 愿意照着官方文档一步步配环境的人。

不太适合

  • 希望一条命令就装好、不想看文档的人。
  • 需要厂商级 SLA 和技术支持的生产环境。

同类对比

5 个同类
MCP Server工具数传输方式安装命令收录来源最后核验
CTS MCP Server

MCP World · 本页

3未说明未标注2 个2026-05-17
Fetch 9a2682de

MCP.so

1SSE有3 个2026-05-17
Browser 738d52bc

MCP World

0stdio有1 个2026-05-17
Playwright MCP Server

MCP.so

21stdio有4 个2026-05-17
Skyvern MCP

MCP World

0stdio有2 个2026-05-17

按同分类和工具数量挑出最接近的几条,字段以各自详情页为准。

常见问题

5 条

CTS MCP Server 怎么安装?

公开目录没有给出可以直接复制的安装命令,需要按仓库 README里的步骤安装;装好后写进客户端的 MCP 配置再重启。

CTS MCP Server 怎么在 Claude Desktop、Cursor 里配置?

它是传输方式未标注,客户端配置里要写启动命令和参数,运行环境是 未标注;保存后完全退出客户端再打开,配置才会生效。

CTS MCP Server 收费吗?

本站只整理公开资料,不代收费用,也没有标注具体价格。是否收费取决于服务本身和背后的接口额度,正式使用前按官方说明确认。

CTS MCP Server 需要 API Key 吗?

公开资料标注为无需认证,装好就能连;如果实际调用时报鉴权错误,按官方文档补上凭据。

CTS MCP Server 支持哪些客户端?

公开资料标注支持 Claude Desktop、Claude、VS Code;其他客户端只要能配置 MCP Server,也能用同样的命令或地址接入。

来源信息

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