# ThinkNEO Control Plane MCP server

Enterprise AI governance: spend, guardrails, policy, budgets, compliance, and provider health.

## Links
- Registry page: https://www.getdrio.com/mcp/ai-thinkneo-control-plane
- Repository: https://github.com/thinkneo-ai/mcp-server
- Website: https://thinkneo.ai

## Install
- Endpoint: https://mcp.thinkneo.ai/mcp
- Auth: Not captured

## Setup notes
- Remote endpoint: https://mcp.thinkneo.ai/mcp

## 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. Endpoint: https://mcp.thinkneo.ai/mcp
- 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. Endpoint: https://mcp.thinkneo.ai/mcp
- 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 notes persisted across Claude Code sessions. Endpoint: https://mcp.thinkneo.ai/mcp
- 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 this to persist project context, user preferences, feedback, and reference notes across Claude Code sessions. The filename must end in .md and contain only lowercase letters, digits, underscores, and hyphens (e.g. 'user_fabio.md', 'project_new_feature.md'). Path traversal is blocked. Endpoint: https://mcp.thinkneo.ai/mcp
- 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. Endpoint: https://mcp.thinkneo.ai/mcp
- 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. Endpoint: https://mcp.thinkneo.ai/mcp
- thinkneo_check_policy - Check AI governance policies including model access, budget limits, data controls, and agent governance from the ThinkNEO gateway. Endpoint: https://mcp.thinkneo.ai/mcp
- thinkneo_get_budget_status - Check AI budget status including spend vs limit, forecast, and chargeback data from the ThinkNEO gateway. Endpoint: https://mcp.thinkneo.ai/mcp
- thinkneo_list_alerts - List active alerts for budget, policy, SLA, and security from the ThinkNEO gateway. Endpoint: https://mcp.thinkneo.ai/mcp
- 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. Endpoint: https://mcp.thinkneo.ai/mcp
- 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. Endpoint: https://mcp.thinkneo.ai/mcp
- thinkneo_schedule_demo - Schedule a demo or discovery call with the ThinkNEO team. Collects contact information and preferences. No authentication required. Endpoint: https://mcp.thinkneo.ai/mcp
- 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). Endpoint: https://mcp.thinkneo.ai/mcp
- 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, Meta, Mistral, DeepSeek, Alibaba, Cohere, and xAI. Requires authentication. Endpoint: https://mcp.thinkneo.ai/mcp
- 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. Endpoint: https://mcp.thinkneo.ai/mcp
- 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! Endpoint: https://mcp.thinkneo.ai/mcp
- 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 (Platinum/Gold/Silver/Bronze/Unrated), and actionable recommendations. Score is valid for 30 days. Generates a public badge URL for embedding in websites and documentation. Part of the 'From Prompt to Proof' framework. Requires authentication. Endpoint: https://mcp.thinkneo.ai/mcp
- 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. Endpoint: https://mcp.thinkneo.ai/mcp
- 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. Endpoint: https://mcp.thinkneo.ai/mcp
- 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. Endpoint: https://mcp.thinkneo.ai/mcp
- 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 (calls initialize + tools/list), runs security scan (secrets detection, injection patterns), and stores the entry. Authentication required. Endpoint: https://mcp.thinkneo.ai/mcp
- 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 on repeat). Authentication required. Endpoint: https://mcp.thinkneo.ai/mcp
- 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. Endpoint: https://mcp.thinkneo.ai/mcp
- thinkneo_bridge_mcp_to_a2a - Bridge MCP tool registry to A2A format. Shows tool-to-skill mappings. Endpoint: https://mcp.thinkneo.ai/mcp
- thinkneo_bridge_a2a_to_mcp - Bridge A2A agents to MCP tool format. Endpoint: https://mcp.thinkneo.ai/mcp
- thinkneo_bridge_generate_agent_card - Generate an A2A Agent Card from registry data. Endpoint: https://mcp.thinkneo.ai/mcp
- thinkneo_bridge_list_mappings - List all MCP <-> A2A bridge mappings for a tenant. Endpoint: https://mcp.thinkneo.ai/mcp
- 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. Endpoint: https://mcp.thinkneo.ai/mcp
- 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. Endpoint: https://mcp.thinkneo.ai/mcp
- 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. Endpoint: https://mcp.thinkneo.ai/mcp
- 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. Endpoint: https://mcp.thinkneo.ai/mcp
- 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. Endpoint: https://mcp.thinkneo.ai/mcp
- 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 point. Endpoint: https://mcp.thinkneo.ai/mcp
- 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 $12 human-handled ticket. ROI: 400:1. Endpoint: https://mcp.thinkneo.ai/mcp
- 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 not provided, a default is calculated from severity. Endpoint: https://mcp.thinkneo.ai/mcp
- 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?' Endpoint: https://mcp.thinkneo.ai/mcp
- 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?' Endpoint: https://mcp.thinkneo.ai/mcp
- 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. Endpoint: https://mcp.thinkneo.ai/mcp
- thinkneo_a2a_log - Retrieve A2A (agent-to-agent) interaction logs from the live gateway. Shows which agents called which, actions performed, costs, and outcomes. Endpoint: https://mcp.thinkneo.ai/mcp
- thinkneo_a2a_policy - Retrieve A2A interaction policies from the live gateway. Shows allowed actions, rate limits, cost caps, and approval requirements. Endpoint: https://mcp.thinkneo.ai/mcp
- thinkneo_a2a_flow - Visualize agent-to-agent communication flow. Shows registered agents, their approval status, and interaction patterns from the live gateway. Endpoint: https://mcp.thinkneo.ai/mcp
- thinkneo_a2a_audit - Retrieve immutable audit trail for A2A interactions with hash verification. Each event is cryptographically chained for tamper detection. Endpoint: https://mcp.thinkneo.ai/mcp
- thinkneo_detect_waste - Detect waste and inefficiency in AI operations. Analyzes agent performance, A2A communication overhead, error costs, unused capacity, and cost outliers. Returns specific actionable findings like 'you are losing $3,200/month on error retries' or 'this flow is 5x more expensive than your best-performing flow'. This is the diagnostic tool that creates the buying trigger. Endpoint: https://mcp.thinkneo.ai/mcp
- thinkneo_register_claim - Register an action claim from an AI agent. The agent declares it performed an action (e.g., sent an email, created a PR, wrote a file) and ThinkNEO will verify it actually happened. Returns a claim_id for tracking. Part of the Outcome Validation Loop — 'From Prompt to Proof'. Requires authentication. Endpoint: https://mcp.thinkneo.ai/mcp
- thinkneo_verify_claim - Trigger verification of a registered action claim. Runs the appropriate verification adapter (HTTP check, file check, database check, etc.) and returns the result with evidence. If already verified, returns cached result (use force=true to re-verify). Part of the Outcome Validation Loop — 'From Prompt to Proof'. Requires authentication. Endpoint: https://mcp.thinkneo.ai/mcp
- thinkneo_get_proof - Retrieve the immutable proof record for a verified claim. Includes the original claim, verification evidence, verifier identity, and a SHA-256 proof hash for tamper detection. This is the 'proof' in 'From Prompt to Proof'. Requires authentication. Endpoint: https://mcp.thinkneo.ai/mcp
- thinkneo_verification_dashboard - Aggregated outcome verification metrics — verification rates, failure patterns, agent reliability rankings, and daily trends. Shows how reliably your AI agents are delivering verified outcomes. 'Datadog for AI outcomes'. Requires authentication. Endpoint: https://mcp.thinkneo.ai/mcp
- thinkneo_benchmark_report - View the outcome benchmark matrix — real quality scores per provider/model/task_type based on verified outcomes, not static estimates. Shows verification rates, sample counts, and rankings. Requires authentication. Endpoint: https://mcp.thinkneo.ai/mcp
- thinkneo_benchmark_compare - Compare providers side-by-side for a specific task type. Shows quality scores, verification rates, and rankings based on real outcomes. Requires authentication. Endpoint: https://mcp.thinkneo.ai/mcp
- thinkneo_router_explain - Explain why the Smart Router would choose a specific model for a task type. Shows both benchmark-based (real outcomes) and static quality estimates, and explains the reasoning behind the recommendation. Requires authentication. Endpoint: https://mcp.thinkneo.ai/mcp
- thinkneo_compliance_generate - Generate a compliance report for regulatory frameworks (EU AI Act, ISO 42001, SOC2, NIST). Exports from live audit data. Endpoint: https://mcp.thinkneo.ai/mcp
- thinkneo_sla_define - Define or update an SLA (Service Level Agreement) for an AI agent. Set accuracy, quality, cost, safety, or latency thresholds with automatic breach detection and configurable actions (alert, escalate, disable, switch_model). Like SRE SLOs but for AI agent outcomes. Requires authentication. Endpoint: https://mcp.thinkneo.ai/mcp
- thinkneo_sla_status - Check current SLA status for all agents or a specific agent. Shows actual metric values vs thresholds, healthy/breached status, and error budget remaining. Automatically records breaches. Requires authentication. Endpoint: https://mcp.thinkneo.ai/mcp
- thinkneo_sla_breaches - View SLA breach history — which SLAs were breached, by which agents, actual vs threshold values, and resolution status. Requires authentication. Endpoint: https://mcp.thinkneo.ai/mcp
- thinkneo_sla_dashboard - SLA overview dashboard — all agents, current status, error budgets, and recent breaches (7d). The SRE dashboard for AI agents. Requires authentication. Endpoint: https://mcp.thinkneo.ai/mcp
- thinkneo_audit_export - Export audit events from the live gateway. Supports JSON and CSV formats with date range filtering for SIEM integration. Endpoint: https://mcp.thinkneo.ai/mcp
- thinkneo_compare_models - Compare available AI models from the live gateway catalog. Endpoint: https://mcp.thinkneo.ai/mcp
- thinkneo_count_tokens - Estimate token count for text (chars/4 approximation). Endpoint: https://mcp.thinkneo.ai/mcp
- thinkneo_optimize_prompt - Analyze prompt and suggest optimizations with live metrics context. Endpoint: https://mcp.thinkneo.ai/mcp
- thinkneo_rotate_key - Instruct the gateway to rotate an API key. Endpoint: https://mcp.thinkneo.ai/mcp
- thinkneo_manage_secrets - Check connector grants and secrets status from the gateway. Endpoint: https://mcp.thinkneo.ai/mcp
- thinkneo_cache_status - Get semantic cache stats from the live gateway runtime metrics. Endpoint: https://mcp.thinkneo.ai/mcp
- thinkneo_detect_injection - Detect prompt injection attempts in text using guardrail patterns. Also retrieves live guardrails_blocked stats from the gateway. Endpoint: https://mcp.thinkneo.ai/mcp
- thinkneo_check_pii_international - Detect international PII across 30+ document types from 15+ countries: Brazil (CPF, CNPJ, RG, PIS), USA (SSN, EIN, ITIN, Passport), UK (NINO, UTR), Canada (SIN), EU (IBAN, VAT), Germany (Tax-ID), France (INSEE), Spain (DNI/NIE), Italy (Codice Fiscale), Argentina (CUIT), Mexico (CURP/RFC), Australia (TFN/ABN), India (Aadhaar/PAN), China (ID), Japan (My Number), and credit cards (Luhn validated). Required for LGPD/GDPR/HIPAA compliance. No authentication required. Endpoint: https://mcp.thinkneo.ai/mcp
- thinkneo_alert_rule_list - List your configurable Monitor Agent alert rules. Each rule watches a metric (e.g. an API key reaching a % of its budget, workspace spend, error rate) and notifies your channels (email/discord/whatsapp) when it fires. Requires an admin API key. Endpoint: https://mcp.thinkneo.ai/mcp
- thinkneo_alert_rule_create - Create a Monitor Agent alert rule. Example: notify by email when API key 'X' reaches 75% of its budget → metric=key_spend_pct_of_budget, operator=gte, threshold=75, scope_value=<api_key_id>, budget_usd=<key budget>. Requires an admin API key. Endpoint: https://mcp.thinkneo.ai/mcp
- thinkneo_alert_rule_delete - Delete a Monitor Agent alert rule by its rule_id. Requires an admin API key. Endpoint: https://mcp.thinkneo.ai/mcp
- thinkneo_alert_rule_test - Send a test notification through a rule's configured channels to confirm delivery (email/discord/whatsapp). Requires an admin API key. Endpoint: https://mcp.thinkneo.ai/mcp

## Resources
- thinkneo://docs/getting-started - ThinkNEO Getting Started Guide Quick-start guide for connecting your AI applications to the ThinkNEO control plane. MIME type: text/plain
- thinkneo://docs/supported-providers - ThinkNEO Supported AI Providers List of AI providers supported by the ThinkNEO gateway with available models. MIME type: application/json

## Prompts
- thinkneo_governance_audit - AI Governance Audit Run a full governance audit for a workspace: check budget status, list active alerts, and review compliance readiness. Arguments: workspace
- thinkneo_policy_preflight - Policy Pre-flight Check Pre-flight check before switching to a new AI model or provider: verify it's allowed by workspace policy and evaluate guardrail compliance. Arguments: workspace, provider, model, sample_prompt

## Metadata
- Owner: ai.thinkneo
- Version: 1.0.2
- Runtime: Streamable Http
- Transports: HTTP
- License: Not captured
- Language: Not captured
- Stars: Not captured
- Updated: Mar 23, 2026
- Source: https://registry.modelcontextprotocol.io