Enterprise AI governance: spend, guardrails, policy, budgets, compliance, and provider health.
Enterprise AI governance: spend, guardrails, policy, budgets, compliance, and provider health.
Remote endpoints: streamable-http: https://mcp.thinkneo.ai/mcp
Valid MCP server (1 strong, 8 medium validity signals). 3 known CVEs in dependencies (0 critical, 1 high severity) Imported from the Official MCP Registry.
Endpoint verified · Open access · 4 issues found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
This plugin requests these system permissions. Most are normal for its category.
Remote Plugin
No local installation needed. Your AI client connects to the remote endpoint directly.
Add this to your MCP configuration to connect:
{
"mcpServers": {
"ai-thinkneo-control-plane": {
"url": "https://mcp.thinkneo.ai/mcp"
}
}
}Once installed, try these example prompts and explore these capabilities:
From the project's GitHub README.
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 uvicorn src.server:app --host 0.0.0.0 --port 8081
# Test
python -m pytest tests/ -q
Or with Docker:
cd deploy
docker compose up -d
Connect from Claude Desktop, Cursor, or any MCP client:
https://mcp.thinkneo.ai/mcp
Free tier: 500 calls/month, auto-provisioned API key. All 72 tools available.
| Directory | Description | License |
|---|---|---|
src/tools/ | 72 MCP tools — governance, security, FinOps, observability | Apache-2.0 |
src/thinkshield/ | Defense layer — detection engine, 5 rule packs | Apache-2.0 |
tests/thinkshield/ | ThinkShield test suite — 145 tests + attack/benign fixtures | Apache-2.0 |
agent.json | A2A Agent Card — 24 skills bridged from MCP | Apache-2.0 |
| Pack | Detects |
|---|---|
injection | SQL injection, XSS, command injection, path traversal |
auth | Credential stuffing, brute force, token replay, privilege escalation |
abuse | Rate abuse, resource exhaustion, API scraping |
recon | Path probing, tool enumeration, method probing, fingerprinting |
headers | Header anomalies, spoofing, missing security headers |
Governance (6) | Guardrails (3) | FinOps (4) | Smart Router (4) | Trust Score (2) | Registry (5) | Bridge (4) | Observability (5) | Business Value (6) | A2A Control (4) | Optimization (1) | Outcome Validation (4) | Policy Engine (4) | Benchmarking (3) | Compliance (2) | Agent SLA (4) | Audit Export (3) | Cache (3) | Security (5) | Tokens (1) | Memory (2) | Scheduling (1) | Alerts (1)
Full tool reference: docs/quickstart.md
Complete Model Context Protocol 2024-11-05 implementation. Forward-compatible with MCP 2025-03-26.
| Capability | Status | Details |
|---|---|---|
| tools | 72 tools, full annotations | destructiveHint, readOnlyHint, idempotentHint, openWorldHint |
| resources | 2 resources | Getting Started guide, Supported Providers |
| prompts | 2 prompts with completions | governance_audit, policy_preflight |
| logging | logging/setLevel | 8 levels, per-session, audit trail |
| completions | completion/complete | workspace (auth-scoped), provider, model (provider-aware) |
This repo is part of the ThinkNEO ecosystem:
| Project | Description |
|---|---|
| ThinkNEO Platform | Enterprise AI governance platform |
| AIRGP | AI Runtime Governance Protocol — open standard |
| A2ASTC | A2A Security & Trust Conformance |
| ThinkNEO SMB Hub | Business applications for SMBs |
| Robotics Governance | Robot fleet governance dashboard |
See SECURITY.md for vulnerability reporting.
See CONTRIBUTING.md.
| Server | Description | Tools |
|---|---|---|
| thinkneo-control-plane | Enterprise AI Control Plane (this repo) | 72 tools |
| thinkneo-mcp-smb-products | SMB standalone products — self-serve via TNC credits | 37 tools |
Apache-2.0 — see LICENSE.
ThinkNEO AI Technology Co., Ltd. — Hong Kong CR No. 2296774.
Built by the team behind the ThinkNEO Enterprise AI Control Plane, AIRGP protocol, and A2ASTC conformance suite.
Solid tool with a clean interface and reliable performance. The control plane integration works smoothly and the setup was straightforward.
Really impressed with how well this handles the workload. Setup was quick, the dashboard is intuitive, and it hasn't let me down yet. Minor UI quirks here and there, but nothing that gets in the way. Great product overall — looking forward to seeing how it evolves.
Governance!!!
Initial enterprise release. Enterprise AI Control Plane with runtime guardrails, AI FinOps, deep observability, agent lifecycle control, and compliance readiness across all major AI providers.
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