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ThinkNEO Control Plane

by thinkneo.ai in Other

MCP serverPassing, checked 32 min ago

Enterprise AI Control Plane: governance, guardrails, spend tracking, compliance & smart routing.

https://mcp.thinkneo.ai/mcp

Last 30 days

All checks passedSome failedAll failedNot checked
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

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