Enterprise AI governance: spend, guardrails, policy, budgets, compliance, and provider health.
Config is the same across clients — only the file and path differ.
{
"mcpServers": {
"thinkneo": {
"url": "https://mcp.thinkneo.ai/mcp",
"headers": {
"Authorization": "Bearer YOUR_API_KEY"
}
}
}
}Are you the author?
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Enterprise AI governance: spend, guardrails, policy, budgets, compliance, and provider health.
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Open MCP server with built-in defense layer (ThinkShield). Part of the ThinkNEO Platform — enterprise AI governance.
An open-source MCP server providing 72 tools for AI governance, observability, and security:
We open-source our defense layer because real security doesn't depend on hidden rules — it depends on tested, audited, continuously improved detection plus a strong governance moat around it.
Snort. Suricata. Falco. OWASP CRS. The security industry runs on open detection. We follow that tradition.
The detection is open. The governance is proprietary. That's where the moat is.
Open Source (this repo) Proprietary (thinkneo.ai)
┌─────────────────────────────────┐ ┌──────────────────────────────────┐
│ │ │ │
MCP Clients ────>│ 72 MCP Tools │ │ Governance Orchestration │
(Claude, Cursor, │ ├── Guardrails & Safety │────>│ ├── Policy Engine (AIRGP) │
ChatGPT, etc.) │ ├── FinOps & Smart Routing │ │ ├── Cryptographic Audit Chain │
│ ├── Observability │ │ ├── Tenant Management │
A2A Agents ─────>│ ├── Compliance & Validation │ │ ├── Enterprise Integrations │
(Google A2A) │ └── MCP-A2A Bridge (24 skills) │ │ └── SLA & Support │
│ │ │ │
│ ThinkShield Defense Layer │ │ SHA-256 Hash Chain (949K+ rows) │
│ ├── Detection Engine │ │ Stripe Billing │
│ ├── 5 Rule Packs │ │ Resend Email │
│ └── ASGI Middleware │ │ Multi-tenant Auth │
│ │ │ │
└─────────────────────────────────┘ └──────────────────────────────────┘
Apache-2.0 License Commercial License
# Clone
git clone https://github.com/thinkneo-ai/mcp-server.git
cd mcp-server
# Install
pip install -r requirements.txt
# Run
python -m uvicor
... [View full README on GitHub](https://github.com/thinkneo-ai/mcp-server#readme)