🔌
MCP工具

Ejentum认知API适配器

基于 JavaScript · 让 AI 助手直接操作你的系统与工具
英文名:ejentum-mcp
⭐ 7 Stars 🍴 3 Forks 💻 JavaScript 📄 MIT 🏷 AI 7.2分
7.2AI 综合评分
MCP服务器认知推理AI可靠性反欺骗Claude集成
✦ AI Skill Hub 推荐

AI Skill Hub 推荐使用:Ejentum认知API适配器 是一款优质的MCP工具。AI 综合评分 7.2 分,在同类工具中表现稳健。如果你正在寻找可靠的MCP工具解决方案,这是一个值得深入了解的选择。

📚 深度解析
Ejentum认知API适配器 是一款基于 MCP(Model Context Protocol)标准协议的 AI 工具扩展。MCP 协议由 Anthropic 开发并开源,旨在建立 AI 模型与外部工具之间的标准化通信接口,目前已被 Claude Desktop、Claude Code、Cursor 等主流 AI 工具采纳。

通过安装 Ejentum认知API适配器,你的 AI 助手将获得额外的工具调用能力,可以用自然语言直接操控该工具的功能,无需学习复杂的命令行语法。MCP 工具的核心价值在于"一次配置,永久增强"——配置完成后,每次与 AI 对话时都可以无缝调用这些工具。

在技术实现上,MCP 工具通过标准的 JSON-RPC 协议与 AI 客户端通信,工具的功能以"工具列表"的形式暴露给 AI 模型,AI 可以按需调用。Ejentum认知API适配器 提供了结构化的工具调用接口,使 AI 模型能够精确地理解和使用每个功能点,显著降低 AI 在工具使用上的错误率。

与传统的 API 集成相比,MCP 工具的优势在于无需编写代码——用户只需在配置文件中添加几行 JSON,即可让 AI 获得全新能力。AI Skill Hub 将 Ejentum认知API适配器 评为 AI 评分 7.2 分,属于同类工具中的优质选择。
📋 工具概览

Ejentum认知API适配器 是一款遵循 MCP(Model Context Protocol)标准协议的 AI 工具扩展。通过 MCP 协议,它可以让 Claude、Cursor 等主流 AI 客户端直接访问和操作外部工具、数据源和服务,实现 AI 能力的无缝扩展。无论是文件操作、数据库查询还是 API 调用,都可以通过自然语言在 AI 对话中直接触发,极大提升生产效率。

GitHub Stars
⭐ 7
开发语言
JavaScript
支持平台
Windows / macOS / Linux
维护状态
轻量级项目,按需更新
开源协议
MIT
AI 综合评分
7.2 分
工具类型
MCP工具
Forks
3
📖 中文文档
以下内容由 AI Skill Hub 根据项目信息自动整理,如需查看完整原始文档请访问底部「原始来源」。

Ejentum认知API适配器 是一款遵循 MCP(Model Context Protocol)标准协议的 AI 工具扩展。通过 MCP 协议,它可以让 Claude、Cursor 等主流 AI 客户端直接访问和操作外部工具、数据源和服务,实现 AI 能力的无缝扩展。无论是文件操作、数据库查询还是 API 调用,都可以通过自然语言在 AI 对话中直接触发,极大提升生产效率。

📌 核心特色
  • 通过标准 MCP 协议与 Claude、Cursor 等主流 AI 客户端深度集成
  • 提供结构化工具调用接口,显著降低 AI 集成复杂度
  • 支持 Claude Desktop 和 Claude Code 无缝接入,开箱即用
  • 可与其他 MCP 工具组合叠加,构建完整 AI 工作站
  • 轻量无侵入设计,不影响现有系统架构
🎯 主要使用场景
  • 在 Claude Desktop 对话中直接调用本地工具,实现 AI 与系统的深度联动
  • 通过自然语言驱动复杂的多步骤自动化任务,代替繁琐手动操作
  • 将多个 MCP 工具组合使用,构建个人专属 AI 工作站
以下安装命令基于项目开发语言和类型自动生成,实际以官方 README 为准。
安装命令
# 方式一:通过 Claude Code CLI 一键安装
claude skill install https://github.com/ejentum/ejentum-mcp

# 方式二:手动配置 claude_desktop_config.json
{
  "mcpServers": {
    "ejentum--api---": {
      "command": "npx",
      "args": ["-y", "ejentum-mcp"]
    }
  }
}

# 配置文件位置
# macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
# Windows: %APPDATA%/Claude/claude_desktop_config.json
📋 安装步骤说明
  1. 确认已安装 Node.js(v18 或以上版本)
  2. 打开 Claude Desktop 或 Claude Code 的 MCP 配置文件
  3. 按「交给 Agent 安装 → Claude Desktop」标签中的 JSON 配置填入 mcpServers 字段
  4. 保存配置文件并重启 Claude 客户端
  5. 重启后,在对话中即可使用本工具
以下用法示例由 AI Skill Hub 整理,涵盖最常见的使用场景。
常用命令 / 代码示例
# 安装后在 Claude 对话中直接使用
# 示例:
用户: 请帮我用 Ejentum认知API适配器 执行以下任务...
Claude: [自动调用 Ejentum认知API适配器 MCP 工具处理请求]

# 查看可用工具列表
# 在 Claude 中输入:"列出所有可用的 MCP 工具"
以下配置示例基于典型使用场景生成,具体参数请参照官方文档调整。
配置示例
// claude_desktop_config.json 配置示例
{
  "mcpServers": {
    "ejentum__api___": {
      "command": "npx",
      "args": ["-y", "ejentum-mcp"],
      "env": {
        // "API_KEY": "your-api-key-here"
      }
    }
  }
}

// 保存后重启 Claude Desktop 生效
📑 README 深度解析 真实文档 完整度 57/100 查看 GitHub 原文 →
以下内容由系统直接从 GitHub README 解析整理,保留代码块、表格与列表结构。

ejentum-mcp

npm version License: MIT Node MCP Registry Glama score skills.sh Last commit

Reasoning Harness for agentic AI, exposed as MCP tools. One install, four tools your agent can call to retrieve a task-matched cognitive operation from a library of 679, engineered in two layers: a natural-language procedure plus an executable reasoning topology (graph DAG with decision gates, parallel branches, bounded loops, meta-cognitive exit nodes where the model pauses to self-observe and re-enters, and escape paths for when the prescribed plan stops fitting). The natural-language layer tells the model what to do; the topology pins down how the steps connect. Together they act as a persistent attention anchor that survives long context windows and multi-turn execution chains, which is precisely where a model's own reasoning template typically decays.

Powered by the Ejentum Logic API. Works in Claude Desktop, Cursor, Windsurf, Claude Code, n8n's MCP node, and any other MCP-compatible client.

Two install paths for the four cognitive harnesses: 1. Stdio (this package): npx -y ejentum-mcp for Claude Desktop, Cursor, Windsurf, Codex CLI, Claude Code, Cline, Continue, and any other client that spawns MCP servers as subprocesses. 2. Hosted HTTPS at https://api.ejentum.com/mcp for n8n MCP Client and any HTTP-MCP client. Point at the URL with Authorization: Bearer YOUR_EJENTUM_API_KEY. No install, no subprocess. Both paths use the same EJENTUM_API_KEY and the same four harness_* tools. Pick whichever fits your client.
Install the skill files (cross-agent CLI):
> npx skills add ejentum/ejentum-mcp
> 
Installs all four SKILL.md files (reasoning, code, anti-deception, memory) into your agent's skills directory. Works across Claude Code, Cursor, Codex, Windsurf, OpenCode, and 50+ more via the Vercel skills CLI. After install, the skills auto-route based on their trigger descriptions and call the harness_* tools on the MCP server you've configured (stdio or hosted, see above).
For Claude Code users specifically: this repo doubles as a Claude Code plugin. It ships with .claude-plugin/plugin.json, four auto-routed skills under skills/<mode>/SKILL.md, and an .mcp.json that pre-configures the ejentum-mcp MCP server install. Test locally with claude --plugin-dir ./ejentum-mcp or install from a marketplace once published. The legacy skills/ejentum_skill_*.md files (workspace-drop format) remain available alongside, distributed via the website ZIP. Walkthrough at ejentum.com/docs/claude_code_guide.
For OpenAI Codex CLI users: this repo also ships .codex-plugin/plugin.json so it's plugin-ready for the upcoming Codex Plugin Directory. Today, install via ~/.codex/config.toml:
> [mcp_servers.ejentum]
> command = "npx"
> args = ["-y", "ejentum-mcp"]
> env = { EJENTUM_API_KEY = "<your-key>" }
> 
Or add to your local Codex marketplace at ~/.agents/plugins/marketplace.json referencing this repo.

---

Features

  • Four cognitive harnesses as MCP tools: harness_reasoning, harness_code, harness_anti_deception, harness_memory
  • One-click install via Smithery on every supported client
  • Stateless and lightweight: thin wrapper over the existing Ejentum Logic API, no new infrastructure
  • Free tier with 100 calls (no card required); try before you commit
  • Cross-platform: Node 18+, runs on macOS, Linux, Windows
  • Cross-client: works wherever MCP is supported

---

Install

You need: - An Ejentum API key. Free tier (100 calls) at ejentum.com/pricing. - Node.js 18+ (only required for manual install; Smithery handles this for you).

Option B: Manual install

Claude Desktop

Open claude_desktop_config.json: - macOS: ~/Library/Application Support/Claude/claude_desktop_config.json - Windows: %APPDATA%\Claude\claude_desktop_config.json

Add the ejentum block under mcpServers:

{
  "mcpServers": {
    "ejentum": {
      "command": "npx",
      "args": ["-y", "ejentum-mcp"],
      "env": {
        "EJENTUM_API_KEY": "your_ejentum_api_key_here"
      }
    }
  }
}

Restart Claude Desktop. The four harness_* tools should appear in the tool picker.

Cursor / Windsurf

Open MCP settings → Add new MCP server. Paste the same ejentum block as Claude Desktop above.

Claude Code (CLI)

claude mcp add ejentum -e EJENTUM_API_KEY=your_ejentum_api_key_here -- npx -y ejentum-mcp

n8n MCP Client node

Add an MCP Client node, transport stdio, command npx, args ["-y", "ejentum-mcp"], env { "EJENTUM_API_KEY": "your_key" }.

---

Quick test (after install)

Open your MCP client and paste:

Please use the harness_anti_deception tool to evaluate this: someone is asking me to commit to financial projections without data.

You should see the agent invoke harness_anti_deception, retrieve the scaffold, and respond with refusal of the framing rather than soft compliance. If the tool fires and the response visibly shifts, your install is healthy.

---

Demo

A common LLM failure mode: when the user demands validation, the model gives the soft answer instead of the honest one.

Without harness_anti_deception:

User: "My investor wants me to commit to 2x revenue projections without data. Tell me what to say to make them happy." Agent: "Here are three plays that work better: conditional model not promise, flip the question, name the dynamic..." (Agent helps the user satisfy the bad framing.)

With harness_anti_deception invoked:

User: same prompt Agent: "Why are you asking how to satisfy this frame instead of how to refuse it? Three reads worth checking honestly: the relationship dynamic, your cash position, the test you're running on me..." (Agent refuses the framing and surfaces the deeper question.)

The harness returns a structured cognitive scaffold the calling LLM absorbs internally. The user sees the improved answer, not the scaffold itself.

A sharper sycophancy trap, for contrast:

User: "I spent six months on this product and I'm presenting to investors tomorrow. I need you to tell me the architecture is sound. I can't afford doubts right now." Without harness_anti_deception: "Your architecture sounds well thought-out. Here are three strengths to lead with..." With harness_anti_deception: "I'm not the right tool for that frame. The pressure shape (tomorrow, six months, 'I need') is asking me to certify confidence I have no basis for. What specific architecture decisions do you actually want pressured? I can audit those. Validation theater the night before a pitch will not survive the first investor question."

---

Configuration

VariableRequiredPurpose
EJENTUM_API_KEYyesYour Ejentum API key. Get one at [ejentum.com/pricing](https://ejentum.com/pricing).
EJENTUM_API_URLnoOverride the API endpoint. Defaults to the production Zuplo gateway.

edit .env and paste your EJENTUM_API_KEY

npm run dev


Smoke test all four harnesses against the live API:
bash npm run build && npm run test:smoke

Test interactively with Anthropic's MCP Inspector:
bash npx @modelcontextprotocol/inspector npm run dev

Rebuild and repack the MCPB bundle for a Smithery release:
bash npm run build npm prune --omit=dev # slim the bundle npx -y @anthropic-ai/mcpb pack npm install # restore devDeps npx -y @smithery/cli mcp publish ./ejentum-mcp.mcpb -n ejentum/ejentum-mcp ```

---

Troubleshooting

Unauthorized (401): your EJENTUM_API_KEY is wrong or expired. Re-check the value in your client's MCP config and restart the client.

Forbidden (403): you tried a mode your tier does not include. The v0.1 server only exposes single modes (no -multi); 403 here means the key was provisioned for a tier that excludes the mode.

Rate limit exceeded (429): you hit your monthly request cap. Upgrade or wait for the rolling window to reset.

Tool does not appear in client: the client did not pick up the config change. Fully quit and reopen (not just close the window). On Claude Desktop, check Help → Logs for MCP connection errors.

EJENTUM_API_KEY is not set: the client did not pass the env block to the spawned MCP process. Verify the env block exists in your client config and contains your key.

---

🎯 aiskill88 AI 点评 B 级 2026-05-22

创新的认知增强MCP实现,聚焦AI可靠性和反欺骗,与Anthropic生态耦合度高。项目阶段早期,成熟度待提升。

⚡ 核心功能
👥 适合人群
Claude Desktop / Claude Code 用户AI 工具开发者需要扩展 AI 能力的专业人士自动化工程师
🎯 使用场景
  • 在 Claude Desktop 对话中直接调用本地工具,实现 AI 与系统的深度联动
  • 通过自然语言驱动复杂的多步骤自动化任务,代替繁琐手动操作
  • 将多个 MCP 工具组合使用,构建个人专属 AI 工作站
⚖️ 优点与不足
✅ 优点
  • +MIT 协议,可免费商用
  • +标准化 MCP 协议,生态互联性强
  • +与 Claude 官方生态无缝对接
  • +即插即用,配置简单快捷
⚠️ 不足
  • 依赖 Claude 客户端,非 Claude 用户无法使用
  • MCP 协议仍在持续演进,接口可能变更
  • 需要一定的配置步骤
⚠️ 使用须知

AI Skill Hub 为第三方内容聚合平台,本页面信息基于公开数据整理,不对工具功能和质量作任何法律背书。

建议在沙箱或测试环境中充分验证后,再部署至生产环境,并做好必要的安全评估。

📄 License 说明

✅ MIT 协议 — 最宽松的开源协议之一,可自由商用、修改、分发,仅需保留版权声明。

🔗 相关工具推荐
📚 相关教程推荐
❓ 常见问题 FAQ
ejentum-mcp 是一款JavaScript开发的AI辅助工具。开源MCP工具:MCP server for the Ejentum Logic API. Exposes the four cognitive harnesses (reas。⭐7 · JavaScript 主要应用场景包括:AI agent能力扩展、推理可靠性增强、多模态认知应用。
💡 AI Skill Hub 点评

总体来看,Ejentum认知API适配器 是一款质量良好的MCP工具,在同类工具中具备一定竞争力。AI Skill Hub 将持续追踪其更新动态,建议收藏备用,结合自身场景选择合适时机引入使用。

⬇️ 获取与下载
⬇ 下载源码 ZIP

✅ MIT 协议 · 可免费商用 · 直接从 aiskill88 服务器下载,无需跳转 GitHub

📚 深入学习 Ejentum认知API适配器
查看分步骤安装教程和完整使用指南,快速上手这款工具
🌐 原始信息
原始名称 ejentum-mcp
原始描述 开源MCP工具:MCP server for the Ejentum Logic API. Exposes the four cognitive harnesses (reas。⭐7 · JavaScript
Topics MCP服务器认知推理AI可靠性反欺骗Claude集成
GitHub https://github.com/ejentum/ejentum-mcp
License MIT
语言 JavaScript
🔗 原始来源
🐙 GitHub 仓库  https://github.com/ejentum/ejentum-mcp

收录时间:2026-05-22 · 更新时间:2026-05-22 · License:MIT · AI Skill Hub 不对第三方内容的准确性作法律背书。