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Servidor MCP de ThinkNEO

Qué servidores del registro oficial de MCP son de ThinkNEO, si responden y qué ofrecen. Un programa comprobó cada dato; nada está copiado de la página del producto.

leído el 2026-10-09

← Volver a ThinkNEO

De quién es el servidor
  • Nombre en el registroai.thinkneo/control-planeverificado en el registro MCP

El nombre en el registro está bajo thinkneo.ai. El registro solo permite usar ese espacio de nombres a quien demuestra control del dominio por DNS o HTTP.

Cuando le preguntamoscomprobado el 2026-10-09
  • Estadorespondecomprobado el 2026-10-09
  • Herramientas68
  • El servidor se llamaThinkNEO Control Plane
  • Versión del servidor1.28.0
  • Versión del protocolo2025-06-18

El 2026-10-09 el servidor respondió a initialize y tools/list sin iniciar sesión. Primera respuesta en 220 ms.

Herramientas que ofrece68 herramientas · leído el 2026-10-09
  • 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…

  • 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…

  • 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…

  • 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+…

  • 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…

  • 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…

  • 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…

  • 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…

  • 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…

  • 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…

  • 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…

  • 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…

  • 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…

  • 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…

  • 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…

  • 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.

  • thinkneo_a2a_flow

    Visualize agent-to-agent communication flow. Shows registered agents, their approval status, and interaction patterns from the live gateway.

  • thinkneo_a2a_audit

    Retrieve immutable audit trail for A2A interactions with hash verification. Each event is cryptographically chained for tamper detection.

  • 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…

  • 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…

  • 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…

  • 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…

  • 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…

  • 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.

  • 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.

  • 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.

  • thinkneo_compliance_generate

    Generate a compliance report for regulatory frameworks (EU AI Act, ISO 42001, SOC2, NIST). Exports from live audit data.

  • 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…

  • 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.

  • thinkneo_sla_breaches

    View SLA breach history — which SLAs were breached, by which agents, actual vs threshold values, and resolution status. Requires authentication.

  • thinkneo_sla_dashboard

    SLA overview dashboard — all agents, current status, error budgets, and recent breaches (7d). The SRE dashboard for AI agents. Requires authentication.

  • thinkneo_audit_export

    Export audit events from the live gateway. Supports JSON and CSV formats with date range filtering for SIEM integration.

  • thinkneo_compare_models

    Compare available AI models from the live gateway catalog.

  • thinkneo_count_tokens

    Estimate token count for text (chars/4 approximation).

  • thinkneo_optimize_prompt

    Analyze prompt and suggest optimizations with live metrics context.

  • thinkneo_rotate_key

    Instruct the gateway to rotate an API key.

Las primeras 60 de 68, en el orden del servidor.

Cómo conectar

Añade el servidor a la configuración de tu cliente MCP. Claude Desktop, Cursor y la mayoría de los demás clientes leen este formato:

{
  "mcpServers": {
    "control-plane": {
      "type": "http",
      "url": "https://mcp.thinkneo.ai/mcp"
    }
  }
}

Cada línea es algo que un programa encontró al buscar: la entrada del registro, la respuesta del propio servidor, una especificación que se puede leer. Si falta una línea, es que no la encontramos, no que no exista.