ThinkNEO Control Plane
by thinkneo.ai in Other
Enterprise AI Control Plane: governance, guardrails, spend tracking, compliance & smart routing.
https://mcp.thinkneo.ai/mcp
Last 30 days
- Uptime
- 100%
- Response time
- 478 ms typical, 512 ms slowest 5%
- Last check
- 32 min ago
- Next check
- in 5 h
How to call it
Add it to any MCP client that supports remote servers.
{
"mcpServers": {
"thinkneo-control-plane": {
"type": "http",
"url": "https://mcp.thinkneo.ai/mcp"
}
}
}68 tools
- thinkneo_check_spend
Check AI spend summary for a workspace, team, or project. Returns real cost breakdown by provider, model, and time period from the ThinkNEO AI gateway.
- thinkneo_complete
Run a governed LLM completion through the ThinkNEO AI gateway. The request is authorized, classified, and policy-checked against your workspace governance BEFORE any provider is called — a blocked prompt never reaches the model. Tenant/workspace are derived from your API key.
- thinkneo_read_memory
Read Claude Code project memory files. Without arguments, returns the MEMORY.md index listing all available memories. With a filename argument, returns the full content of that specific memory file. Use this to access project context, user preferences, feedback, and reference not
- thinkneo_write_memory
Write or update a Claude Code project memory file (.md). Persists project context, user preferences, feedback, and reference notes across Claude Code sessions. Filename must end in .md with lowercase alphanumeric characters. Path traversal is blocked. Requires authentication.Use
- thinkneo_evaluate_guardrail
Evaluate a prompt or text against ThinkNEO guardrail policies before sending it to an AI provider. Returns risk assessment, violations found, and recommendations. Requires authentication.
- thinkneo_check
Free-tier prompt safety check. Analyzes text for prompt injection patterns and PII (credit card numbers, Brazilian CPF, US SSN, email, phone, passwords). Returns a safety assessment with specific warnings. No authentication required.
- thinkneo_check_policy
Check AI governance policies including model access, budget limits, data controls, and agent governance from the ThinkNEO gateway.
- thinkneo_get_budget_status
Check AI budget status including spend vs limit, forecast, and chargeback data from the ThinkNEO gateway.
- thinkneo_list_alerts
List active alerts for budget, policy, SLA, and security from the ThinkNEO gateway.
- thinkneo_get_compliance_status
Get compliance status including framework coverage (EU AI Act, ISO 42001, NIST AI RMF, SOC 2) and governance assessments from the ThinkNEO gateway.
- thinkneo_provider_status
Get real-time health and performance status of AI providers routed through the ThinkNEO gateway. Shows latency, error rates, and availability. No authentication required.
- thinkneo_schedule_demo
Schedule a demo or discovery call with the ThinkNEO team. Collects contact information and preferences. No authentication required.
- thinkneo_usage
Returns usage statistics for your ThinkNEO API key. Shows calls today, this week, this month, monthly limit, remaining calls, top tools used, estimated cost, and current tier. Works without authentication (returns general info).
- thinkneo_route_model
AI Smart Router — find the cheapest model that meets your quality threshold. Specify your task type and quality requirements, and ThinkNEO will recommend the optimal model with estimated cost and savings vs premium models. Supports 17+ models across Anthropic, OpenAI, Google, Met
- thinkneo_get_savings_report
Get your AI cost savings report. Shows total requests routed, original cost (what you'd have paid with premium models), actual cost, total savings, savings percentage, breakdown by task type, and model distribution. Requires authentication.
- thinkneo_simulate_savings
Simulate how much your organization would save on AI costs using ThinkNEO Smart Router. Enter your current monthly AI spend and primary model, and see estimated monthly and annual savings with a recommended model mix. No authentication required — try it now!
- thinkneo_evaluate_trust_score
Evaluate your organization AI Trust Score (0-100) across 10 dimensions: Guardrails, PII Protection, Injection Defense, Audit Trail, Compliance, Model Governance, Cost Controls, Outcome Validation, Observability, and Smart Routing. Returns a score, detailed breakdown, badge level
- thinkneo_get_trust_badge
Get a public AI Trust Score badge by report token. Returns the organization name, score, badge level, and validity period. Use the badge URL to embed the trust badge in websites and documentation. No authentication required.
- thinkneo_registry_search
Search the ThinkNEO MCP Marketplace — the npm for MCP tools. Discover MCP servers and tools by keyword, category, rating, or verified status. Returns name, description, tools count, rating, downloads, and verified badge. No authentication required.
- thinkneo_registry_get
Get full details for an MCP server package from the ThinkNEO Marketplace. Returns readme, full tools list, version history, reviews, security score, and installation instructions. No authentication required.
- thinkneo_registry_publish
Publish an MCP server to the ThinkNEO Marketplace. Validates the endpoint by calling initialize and tools/list, runs automated security scan for secrets and injection patterns, computes a security score (0-100), and stores the entry with version history. Validates the endpoint (c
- thinkneo_registry_review
Rate and review an MCP server in the ThinkNEO Marketplace. One review per user per package (updates on repeat). Rating from 1 (poor) to 5 (excellent) with optional comment. Reviews affect the package average rating shown in search results. One review per user per package (updates
- thinkneo_registry_install
Get installation config for an MCP server from the ThinkNEO Marketplace. Returns ready-to-use JSON config for Claude Desktop, Cursor, Windsurf, or custom clients. Tracks the download. No authentication required.
- thinkneo_bridge_mcp_to_a2a
Bridge MCP tool registry to A2A format. Shows tool-to-skill mappings.
- thinkneo_bridge_a2a_to_mcp
Bridge A2A agents to MCP tool format.
- thinkneo_bridge_generate_agent_card
Generate an A2A Agent Card from registry data.
- thinkneo_bridge_list_mappings
List all MCP <-> A2A bridge mappings for a tenant.
- thinkneo_start_trace
Start a new agent observability trace. Creates a session that tracks all tool calls, model calls, decisions, and errors for an AI agent run. Returns a session_id to use with thinkneo_log_event and thinkneo_end_trace. Requires authentication.
- thinkneo_log_event
Log an event within an active agent trace. Supports event types: tool_call, model_call, decision, error, pii_access, guardrail_triggered. Returns event_id and running session cost. Requires authentication.
- thinkneo_end_trace
End an active agent trace and get the session summary. Returns total cost, duration, tool/model call counts, and event count. Triggers post-session anomaly detection (cost spikes, error rate). Requires authentication.
- thinkneo_get_trace
Retrieve the full trace for an agent session. Returns the complete timeline of events (tool calls, model calls, decisions, errors), session metadata, total cost, duration, and any alerts triggered. Requires authentication.
- thinkneo_get_observability_dashboard
Get the agent observability dashboard — aggregated metrics for your AI agents. Includes total sessions, events, cost, error rate, latency, top agents, top tools, active alerts, and cost trend over time. Like Datadog, but for AI agents. Requires authentication.
- thinkneo_set_baseline
Define the pre-AI cost baseline for a business process. Example: 'customer_support_ticket costs $12 per ticket and takes 15 minutes without AI'. This baseline is used to calculate ROI when agents handle the same process. Call this once per process to establish the comparison poin
- thinkneo_log_decision
Log a business decision made by an AI agent. Tracks the AI cost and the business value generated. If a baseline exists for the process, value is auto-calculated from the baseline cost. Example: agent 'support-bot' resolved a 'customer_support_ticket' at $0.03 AI cost, replacing a
- thinkneo_log_risk_avoidance
Log a risk event that was blocked or avoided by the governance layer. Quantifies the estimated dollar impact of the avoided risk. Examples: PII leak blocked (est. $50K GDPR fine), prompt injection prevented, policy violation caught before production. If estimated_impact_usd is no
- thinkneo_decision_cost
Analyze cost-per-decision for AI agents. Shows the actual AI cost for each decision, compared to the pre-AI baseline. Answers: 'How much does each AI decision cost?' and 'How does it compare to doing it without AI?'
- thinkneo_agent_roi
Calculate ROI per AI agent. Shows value generated vs AI cost consumed, with daily trend, success rate, and comparison to pre-AI baseline. Answers: 'Is this agent generating or consuming value?' and 'What's the ROI trend?'
- thinkneo_business_impact
Executive business impact dashboard. Returns a single view of: total value generated by AI agents, total AI cost, net ROI, risk avoided in dollars, cost per decision, top performing agents, and risk event summary. This is the report a CxO needs to justify AI investment.
- thinkneo_a2a_log
Retrieve A2A (agent-to-agent) interaction logs from the live gateway. Shows which agents called which, actions performed, costs, and outcomes.
- thinkneo_a2a_policy
Retrieve A2A interaction policies from the live gateway. Shows allowed actions, rate limits, cost caps, and approval requirements.
Security scan
- No findings. We scan names, descriptions and tool definitions for hidden instructions and other prompt-injection patterns.
Recent checks
| When | Result | HTTP | Time |
|---|---|---|---|
| 32 min ago | Passed | 200 | 512 ms |
| 9 h ago | Passed | 200 | 418 ms |
| 17 h ago | Passed | 200 | 478 ms |
| 26 h ago | Passed | 200 | 682 ms |