mcp server

ThinkNEO Control Plane

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

Description as published by the maintainer. Source

• version 1.29.0
• active
• security

active — Most recent push to the repository was 2026-07-06. Dashed tags are derived by ZBS Index from the published description, not stated by the maintainer.

What this server can do

68 functions, named and described by the server itself. Parameter names are shown because they say more about what a function does than its name usually does.

thinkneo_a2a_audit(trace_id, workspace)

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

thinkneo_a2a_flow(workspace)

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

thinkneo_a2a_log(limit, workspace)

Retrieve A2A (agent-to-agent) interaction logs from the live gateway. Shows which agents called which, actions performed, costs, and outcomes.

thinkneo_a2a_policy(workspace)

Retrieve A2A interaction policies from the live gateway. Shows allowed actions, rate limits, cost caps, and approval requirements.

thinkneo_agent_roi(days, workspace, agent_name)

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_alert_rule_create(name, metric, channels, operator, severity, threshold, workspace, budget_usd, scope_value, cooldown_minutes)

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. Required: name, metric, threshold.

thinkneo_alert_rule_delete(rule_id, workspace)

Delete a Monitor Agent alert rule by its rule_id. Requires an admin API key. Required: rule_id.

thinkneo_alert_rule_list(workspace)

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.

thinkneo_alert_rule_test(rule_id, workspace)

Send a test notification through a rule's configured channels to confirm delivery (email/discord/whatsapp). Requires an admin API key. Required: rule_id.

thinkneo_audit_export(format, end_date, workspace, start_date)

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

thinkneo_benchmark_compare(providers, task_type)

Compare providers side-by-side for a specific task type. Shows quality scores, verification rates, and rankings based on real outcomes. Requires authentication. Required: task_type.

thinkneo_benchmark_report(task_type)

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_bridge_a2a_to_mcp(agent_name)

Bridge A2A agents to MCP tool format.

thinkneo_bridge_generate_agent_card(agent_id)

Generate an A2A Agent Card from registry data. Required: agent_id.

thinkneo_bridge_list_mappings

List all MCP <-> A2A bridge mappings for a tenant.

thinkneo_bridge_mcp_to_a2a(tool_name)

Bridge MCP tool registry to A2A format. Shows tool-to-skill mappings.

thinkneo_business_impact(period, workspace)

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_cache_status

Get semantic cache stats from the live gateway runtime metrics.

thinkneo_check(text)

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. Required: text.

thinkneo_check_pii_international(text, countries)

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. Required: text.

thinkneo_check_policy(workspace)

Check AI governance policies including model access, budget limits, data controls, and agent governance from the ThinkNEO gateway.

thinkneo_check_spend(period, group_by, workspace)

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_compare_models(models)

Compare available AI models from the live gateway catalog. Required: models.

thinkneo_complete(model, prompt, system, max_tokens, temperature)

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. Required: prompt.

thinkneo_compliance_generate(format, framework, workspace)

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

thinkneo_count_tokens(text)

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

thinkneo_decision_cost(period, workspace, agent_name, process_name)

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_detect_injection(text)

Detect prompt injection attempts in text using guardrail patterns. Also retrieves live guardrails_blocked stats from the gateway. Required: text.

thinkneo_detect_waste(days, workspace)

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.

thinkneo_end_trace(status, session_id)

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. Required: session_id.

thinkneo_evaluate_guardrail(text, workspace, guardrail_mode)

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. Required: text, workspace.

thinkneo_evaluate_trust_score(org_name)

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. Required: org_name.

thinkneo_get_budget_status(workspace)

Check AI budget status including spend vs limit, forecast, and chargeback data from the ThinkNEO gateway.

thinkneo_get_compliance_status(framework, workspace)

Get compliance status including framework coverage (EU AI Act, ISO 42001, NIST AI RMF, SOC 2) and governance assessments from the ThinkNEO gateway.

thinkneo_get_observability_dashboard(period)

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_get_proof(claim_id)

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. Required: claim_id.

thinkneo_get_savings_report(period)

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_get_trace(session_id)

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. Required: session_id.

thinkneo_get_trust_badge(report_token)

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. Required: report_token.

thinkneo_list_alerts(severity, workspace)

List active alerts for budget, policy, SLA, and security from the ThinkNEO gateway.

thinkneo_log_decision(outcome, metadata, workspace, agent_name, confidence, ai_cost_usd, process_name, decision_type, value_generated_usd)

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. Required: agent_name, decision_type.

thinkneo_log_event(cost, metadata, tool_name, event_type, latency_ms, model_name, session_id, input_summary, output_summary)

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. Required: session_id, event_type.

thinkneo_log_risk_avoidance(severity, risk_type, workspace, agent_name, description, estimated_impact_usd)

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. Required: risk_type.

thinkneo_manage_secrets

Check connector grants and secrets status from the gateway.

thinkneo_optimize_prompt(prompt)

Analyze prompt and suggest optimizations with live metrics context. Required: prompt.

thinkneo_provider_status(provider, workspace)

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_read_memory(filename)

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.

thinkneo_register_claim(action, target, metadata, ttl_hours, agent_name, session_id, evidence_type)

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. Required: action, target, evidence_type.

thinkneo_registry_get(name)

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. Required: name.

thinkneo_registry_install(name, client_type)

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. Required: name.

thinkneo_registry_publish(name, tags, readme, license, repo_url, transport, categories, description, display_name, endpoint_url)

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. Required: name, display_name, description, endpoint_url.

thinkneo_registry_review(name, rating, comment)

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. Required: name, rating.

thinkneo_registry_search(limit, query, category, min_rating, verified_only)

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_rotate_key(key_prefix)

Instruct the gateway to rotate an API key. Required: key_prefix.

thinkneo_route_model(task_type, text_sample, max_latency_ms, estimated_tokens, quality_threshold, budget_per_request, preferred_providers)

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. Required: task_type.

thinkneo_router_explain(task_type, quality_threshold)

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. Required: task_type.

thinkneo_schedule_demo(role, email, company, context, interest, contact_name, preferred_dates)

Schedule a demo or discovery call with the ThinkNEO team. Collects contact information and preferences. No authentication required. Required: contact_name, company, email.

thinkneo_set_baseline(notes, workspace, unit_label, process_name, cost_per_unit_usd, avg_duration_minutes)

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. Required: process_name, cost_per_unit_usd.

thinkneo_simulate_savings(primary_model, monthly_ai_spend, task_distribution)

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! Required: monthly_ai_spend.

thinkneo_sla_breaches(days, agent_name)

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_sla_define(metric, window, threshold, agent_name, breach_action, threshold_direction)

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. Required: agent_name, metric, threshold.

thinkneo_sla_status(agent_name)

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_start_trace(metadata, agent_name, agent_type)

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. Required: agent_name.

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_verification_dashboard(period)

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.

thinkneo_verify_claim(force, claim_id)

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. Required: claim_id.

thinkneo_write_memory(content, filename)

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. Required: filename, content.

Last successful function declaration observed on 2026-08-13. Source: https://mcp.thinkneo.ai/mcp. We list what the server declared; we do not call any of these functions.

Endpoint status observed on 2026-08-13. Source: https://mcp.thinkneo.ai/mcp.

Signals

These are separate measurements of different things. They are deliberately not combined into one score, because a popularity number that mixes website traffic with saves and stars cannot be checked or acted on.

Where to get it

• Repository — https://github.com/thinkneo-ai/mcp-server
• Website — https://thinkneo.ai
• Remote endpoint (streamable-http) — https://mcp.thinkneo.ai/mcp

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These share tags the maintainers applied themselves, such as agent-to-agent, a2a-protocol, finops. Common tags like "mcp" or "ai" are ignored for this: agreeing with six hundred other projects is not a similarity.

This is not a recommendation and not a test result. It is a map of what the authors said their work is about.

How the author describes it

Topics the maintainer set on GitHub: a2a-protocol, agent-to-agent, ai-governance, enterprise, finops, guardrails, mcp, model-context-protocol.