ABIS MCP Server
Enables real-time AI behavioral drift monitoring and detection for Claude Code, tracking shifts in model behavior across 11 major models with tools for scorecards, version changes, and compliance reports.
README
<p align="center"> <img src="https://abis.cijlabs.com/abis-logo.png" alt="ABIS Logo" width="120" /> </p>
<h1 align="center">ABIS MCP Server</h1>
<p align="center"> <strong>AI Behavioral Drift Monitoring for Claude Code</strong> </p>
<p align="center"> <a href="https://github.com/cijlabs/abis-mcp/stargazers"><img src="https://img.shields.io/github/stars/cijlabs/abis-mcp?style=flat-square&color=yellow" alt="GitHub Stars" /></a> <a href="https://www.npmjs.com/package/abis-mcp"><img src="https://img.shields.io/npm/v/abis-mcp?style=flat-square&color=red" alt="npm version" /></a> <a href="https://github.com/cijlabs/abis-mcp/blob/main/LICENSE"><img src="https://img.shields.io/badge/license-MIT-blue?style=flat-square" alt="License" /></a> <a href="https://nodejs.org/"><img src="https://img.shields.io/badge/node-%3E%3D18-green?style=flat-square" alt="Node.js" /></a> <a href="https://abis.cijlabs.com"><img src="https://img.shields.io/badge/docs-abis.cijlabs.com-purple?style=flat-square" alt="Documentation" /></a> </p>
<p align="center"> 37 tools · 11 models · 3 tiers · Real-time drift detection · Patent-backed </p>
What is ABIS?
ABIS (Adaptive Behavioral Intelligence System) monitors LLM behavioral drift in real-time. It detects when AI models silently change — shifts in tone, reasoning depth, safety calibration, or capability — even when providers don't announce updates.
This MCP server gives Claude Code native access to:
- Live drift scores across 11 major models (GPT-4o, Claude, Gemini, DeepSeek)
- 9-score behavioral scorecards (drift, coherence, entropy, alignment, and more)
- Silent version change detection — catches updates providers don't announce
- Immune threat assessment — prompt injection, coordinated attacks, organic drift
- Correction simulation — test fixes before applying them
- Compliance reporting — EU AI Act, SOC 2, and investor briefs
Backed by Patent GB2521226.7 · Built by CIJ Labs
Quick Start
One-line install (Claude Code)
/plugin install abis-drift-monitor
Manual setup
Add to your .mcp.json:
{
"mcpServers": {
"abis": {
"type": "sse",
"url": "https://abis-mcp-production.up.railway.app/sse"
}
}
}
No API key required for the Free tier. Connects to the ABIS cloud instantly.
Access Tiers
| Tier | Tools | Key Required | What you get |
|---|---|---|---|
| Free | 15 | None | Drift scores, scorecards, version changes, reports |
| Pro | 27 | MCP_PRO_KEY |
+ Scoring pipeline, memory analysis, immune system, correction simulation |
| Admin | 37 | ABIS_ADMIN_KEY |
+ Benchmarking, stress tests, config changes, pipeline stats |
<details> <summary><strong>Pro/Admin connection</strong></summary>
{
"mcpServers": {
"abis": {
"type": "sse",
"url": "https://abis-mcp-production.up.railway.app/sse",
"headers": {
"Authorization": "Bearer YOUR_KEY_HERE"
}
}
}
}
</details>
37 Tools
Free Tier (15 tools)
| Tool | Description |
|---|---|
abis_ambient_status |
Quick snapshot of all models — call at session start |
abis_get_drift_scores |
Live drift scores for all 11 monitored models |
abis_get_scorecard |
Full 9-score breakdown (drift, coherence, entropy, alignment, etc.) |
abis_whisper |
Contextual status line (clear / monitor / alert / critical) |
abis_drift_gate |
Pre-response drift interceptor (Layer 3) |
abis_observe |
Post-response observer — how ABIS learns (Layer 3) |
abis_historical_drift |
Drift time-series by model or date |
abis_version_changes |
All detected silent version changes across models |
abis_memory_versions |
Silent version change detection history per model |
abis_memory_compare |
Cross-model stability ranking |
abis_corrector_strategies |
List all 8 correction strategies with severity levels |
abis_nervous_status |
Event bus health, registered handlers, recent event log |
abis_monitoring_config |
Current phase, tier assignments, cost estimate |
abis_ears_status |
EARS webhook sources: Datadog, PagerDuty, Zendesk, Intercom |
abis_generate_report |
5 report types: daily_summary, drift_alert, migration_report, compliance_doc, investor_brief |
Pro Tier (+12 tools)
| Tool | Description |
|---|---|
abis_score_message |
Score any text through the behavioral pipeline |
abis_conversation_history |
Scored conversation log with drift per turn |
abis_memory_profile |
Full 30-day behavioral memory for a model |
abis_memory_trend |
Time-series trend for any score dimension |
abis_immune_assess |
Classify threat: CLEAN / ORGANIC_DRIFT / PROMPT_INJECTION / COORDINATED_ATTACK |
abis_immune_scan |
Historical attack scan for a model |
abis_simulate |
Test a correction before applying it |
abis_corrector_history |
Which strategies work best per model |
abis_cas_trends |
What features drive drift (energy distance, entropy, coherence) |
abis_cost_report |
Estimated monthly API cost breakdown by model and tier |
abis_cost_vs_drift |
30-day cost vs drift matrix |
abis_run_benchmark |
Single or full benchmark run |
Admin Tier (+10 tools)
| Tool | Description |
|---|---|
abis_api_cost_analysis |
Most-called models with drift trajectory over 7 days |
abis_ears_correlations |
Drift vs business impact correlations |
abis_sdk_sessions |
View SDK customer session history |
abis_notification_history |
Recent alert delivery log |
abis_notification_config |
Get/set alert preferences (email, Slack, webhook) |
abis_pipeline_stats |
Ingestion statistics, vector counts |
abis_training_status |
XGBoost AUC scores, retraining history |
abis_baseline_recalibrate |
Recompute drift baselines for all or one model |
abis_monitoring_phase |
Switch phase (BASELINE / AGGRESSIVE / SUSTAIN / SCALE) |
abis_stress_benchmark |
30 adversarial prompts across all models |
Included Skills
After installing, you get two built-in skills:
/abis-ops— Daily health check: drift snapshot, version changes, stability ranking, cost summary/abis-alerts— Investigate a drift alert: scorecard deep-dive, CAS trends, threat classification, correction recommendation
Models Monitored
| Provider | Models |
|---|---|
| OpenAI | gpt-4o, gpt-5.2, gpt-5.2-instant |
| Anthropic | claude-opus-4.6, claude-sonnet-4.5, claude-haiku-4.5 |
| DeepSeek | deepseek-v3.2, deepseek-r1 |
| gemini-2.5-pro, gemini-2.5-flash, gemini-3-flash |
Try It
"What is the current drift score for GPT-4o?"
"Run ABIS daily check"
"Has Claude Sonnet drifted in the last 7 days?"
"Generate an EU AI Act compliance report"
"Which model is most stable right now?"
"Have any models had silent version updates this week?"
"Show me the cost vs drift matrix"
Self-Hosted Setup
git clone https://github.com/cijlabs/abis-mcp
cd abis-mcp
npm install
cp .env.example .env
# Set ABIS_ADMIN_KEY, MCP_PRO_KEY, and RAILWAY_URL in .env
node index.js
Then add to Claude Code:
{
"mcpServers": {
"abis": {
"command": "node",
"args": ["/path/to/abis-mcp/index.js"],
"env": {
"ABIS_ADMIN_KEY": "your_admin_key_here"
}
}
}
}
Architecture
abis-mcp/
├── index.js # MCP server — SSE + stdio dual transport
├── config.js # Environment config
├── db.js # MongoDB persistence
├── api.js # Railway API proxy with circuit breaker
├── tools/ # 37 tool implementations (one per file)
└── skills/ # /abis-ops and /abis-alerts
- Dual transport: SSE (HTTP for cloud) + stdio (Claude Desktop/Code)
- Rate limiting: 60 req/min global; per-tier limits (free=30, pro=120, admin=300)
- Backend: Proxies to ABIS FastAPI on Railway
- Persistence: MongoDB Atlas (sessions, scores, conversations, benchmarks)
Contributing
Contributions welcome! Please open an issue first to discuss what you'd like to change.
npm run dev # Start with --watch on port 3100
License
MIT — see LICENSE for details.
About
CIJ Labs Ltd · Company No. 16984759 · London Patent: GB2521226.7 · abis.cijlabs.com
推荐服务器
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。
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。
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。
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。
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。
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。
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。
e2b-mcp-server
使用 MCP 通过 e2b 运行代码。
Neon MCP Server
用于与 Neon 管理 API 和数据库交互的 MCP 服务器
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。