ThinkNEO Control Plane

REMOTE · MCP.THINKNEO.AI · SCANNED AUG 4

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

Available components

+5 this week 69 69 Trust /100

Trust breakdown (6 categories)

How this component scores in each security and reliability category. Every signal is checked automatically against the live server, and we only credit what we can confirm. How we score →

Endpoint Security63

The endpoint's TLS certificate is valid, in date, and uses a strong key. View diagnostics → Pass
Authorisation check failed: no authorisation is required to call this server, and it exposes a tool marked destructive (thinkneo_rotate_key). See how to fix → View diagnostics → Fail
HTTPS is enforced; there's no plaintext access path. View diagnostics → Pass
The HSTS (Strict-Transport-Security) header is present. View diagnostics → Pass
DNSSEC check failed: this domain isn't protected by DNSSEC. See how to fix → View diagnostics → Fail

Transport & Reachability100

Verified streamable-http transport via a live MCP handshake. View diagnostics → Pass

Schema Quality & AI Usability69

100% of prompts and resources have a non-trivial description (not blank, and not just the item's name).Pass
AI-judged instruction clarity (fair).Partial
Context-footprint check failed: tool/resource definitions use about 7973 tokens (~113/item across 70 items; 68 tools + 2 resources), over budget; trim descriptions and params. See how to fix → Fail
Usage-examples check failed: none of the tools include examples. See how to fix → Fail

Stability & Change Management30

Stability observed for 9 of 30 days with no destabilising changes; credit accrues until the full window elapses.Partial

Tool Coverage100

100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
100% of tool parameters carry a description.Pass
Structured output schemas are declared (100% of tools); any adoption earns full credit.Pass

Capabilities100

Implements a supported MCP spec version (2025-11-25); the latest is 2026-07-28.Pass

Install

Add this component to your MCP client. Where a client-specific snippet is available, pick your client below and copy it straight into your config; otherwise use the connection detail shown.

remote · mcp.thinkneo.ai

Claude Codex opencode OpenClaw Hermes Other

# add to Claude Code

claude mcp add --transport http ai-thinkneo-control-plane https://mcp.thinkneo.ai/mcp

# ~/.codex/config.toml

[mcp_servers.ai-thinkneo-control-plane]
url = "https://mcp.thinkneo.ai/mcp"

// opencode.json

{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "ai-thinkneo-control-plane": {
      "type": "remote",
      "url": "https://mcp.thinkneo.ai/mcp",
      "enabled": true
    }
  }
}

# add to OpenClaw

openclaw mcp add ai-thinkneo-control-plane --url https://mcp.thinkneo.ai/mcp --transport streamable-http

# ~/.hermes/config.yaml

mcp_servers:
  ai-thinkneo-control-plane:
    url: "https://mcp.thinkneo.ai/mcp"

// mcp.json

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

The mcpServers block is a cross-client convention. Remote transports vary, so check your client's docs.

Changelog

Every change we have recorded for this component, newest first. Security-relevant changes are always shown. ▲ marks a change for the better, ▼ a change for the worse; unmarked changes are neutral.

4 Aug 26 +1

No change was recorded against any check on this day. Stability & Change Management went from 27 to 30. That category is still filling its 30-day observation window: 8 days of observed history at the previous scan, 9 at this one. The score rises as the window fills, whether or not the server changes.
3 Aug 26 +1

No change was recorded against any check on this day. Stability & Change Management went from 23 to 27. That category is still filling its 30-day observation window: 7 days of observed history at the previous scan, 8 at this one. The score rises as the window fills, whether or not the server changes.
31 Jul 26 +1
- We updated how we score, so this day's move reflects our rubric, not a change to the server See what changed → functional
30 Jul 26 +1
- We updated how we score, so this day's move reflects our rubric, not a change to the server See what changed → functional
29 Jul 26 +1

No change was recorded against any check on this day. Stability & Change Management went from 7 to 10. That category is still filling its 30-day observation window: 2 days of observed history at the previous scan, 3 at this one. The score rises as the window fills, whether or not the server changes.
27 Jul 26 +1
- We updated how we score, so this day's move reflects our rubric, not a change to the server See what changed → functional
26 Jul 26 63

First indexed and scored.

Show 6 earlier entries Hide earlier entries

Diagnostics

Diagnostic detail from the automated scan of this channel: what the scanner observed at each step, so you can see exactly where a check passed or failed. It is informational only and never changes the trust score.

Captured 4 Aug 2026 · Probed https://mcp.thinkneo.ai/mcp

TLS valid

Negotiated TLS 1.3 with TLS_AES_128_GCM_SHA256 .

Subject	Issuer	Valid from	Valid until	Key	Signature	Serial
CN=thinkneo.ai	CN=YE2,O=Let's Encrypt,C=US	17 Jul 2026	15 Oct 2026	ECDSA 256	ECDSA-SHA384	51a1d359856b9fc94f524fa9d70fdc39eaf
SANs: a2a.thinkneo.ai, agent.thinkneo.ai, api.thinkneo.ai, blog.thinkneo.ai, finance.thinkneo.ai, mcp.thinkneo.ai, mcp.thinkneo.app, missioncontrol.thinkneo.ai, robot.thinkneo.ai, thinkneo-ai.com, thinkneo.ai, thinkneo.app and 3 more
CN=YE2,O=Let's Encrypt,C=US (CA)	CN=Root YE,O=ISRG,C=US	3 Sept 2025	2 Sept 2028	ECDSA 384	ECDSA-SHA384	4df3b15dd6c0784c507cd37b58e6f115
CN=Root YE,O=ISRG,C=US (CA)	CN=ISRG Root X2,O=Internet Security Research Group,C=US	13 May 2026	2 Sept 2032	ECDSA 384	ECDSA-SHA384	872165fc34b6e5fba8add5b3705fb53a
CN=ISRG Root X2,O=Internet Security Research Group,C=US (CA)	CN=ISRG Root X1,O=Internet Security Research Group,C=US	13 May 2026	2 Sept 2032	ECDSA 384	SHA256-RSA	6c8f1dc727c7117f7baf853ac980f9cd

DNSSEC insecure

Validation of mcp.thinkneo.ai. — Not signed

Zone	DS	Keys	Algorithms	Outcome
.	trust_anchor	20326, 38696	8, 8	Verified
ai.	present	3799	8	Verified
thinkneo.ai.	absent			Unsigned (proven) parent-signed NSEC/NSEC3 proves an unsigned delegation

Authentication No authorisation required

The endpoint answered without asking for a token. Anyone who knows the URL can reach it.

Result	No authorisation required
HTTP status	200

Header	Value
strict-transport-security	max-age=63072000; includeSubDomains; preload
content-security-policy	default-src 'self'; script-src 'self' 'unsafe-inline' https:; style-src 'self' 'unsafe-inline' https:; img-src 'self' data: https:; font-src 'self' https: data:; connect-src 'self' https: wss:; frame-src 'none'; frame-ancestors 'none'; base-uri 'self'; form-action 'self';
x-content-type-options	nosniff
x-frame-options	DENY
referrer-policy	strict-origin-when-cross-origin
permissions-policy	camera=(), microphone=(), geolocation=(), payment=(), usb=()

Transports 2 probes

Transport	URL	Outcome	Status	Location
streamable-http	https://mcp.thinkneo.ai/mcp	Verified	200
http (plaintext)	http://mcp.thinkneo.ai/mcp	HTTPS enforced	301	https://mcp.thinkneo.ai/mcp

MCP tools — 68 exposed · ~7,409 tokens

The tools this component advertises to a client, with an estimated token cost for each. Expand a tool to see its parameters and schema. The per-tool counts are indicative and are not scored directly; the schema's total context footprint is one signal in Schema Quality & AI Usability.

Tool Tokens

thinkneo_registry_publish ~288

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.

Input Output Examples

Name	Type	Req	Description
categories	—	—	Categories: governance, security, data, development, productivity, communication, analytics, devops, finance, marketing, other
description	string	yes	Short description of what this MCP server does (max 500 chars)
display_name	string	yes	Human-readable display name
endpoint_url	string	yes	MCP server endpoint URL (e.g. https://my-server.com/mcp)
license	string	—	License (e.g. MIT, Apache-2.0)
name	string	yes	Package name (lowercase, hyphens allowed, e.g. 'my-mcp-server')
readme	string	—	Full readme/documentation in markdown
repo_url	string	—	Source code repository URL
tags	—	—	Tags for discoverability (e.g. ['ai', 'governance', 'security'])
transport	string	—	Transport type: streamable-http, sse, or stdio

Name	Type	Req	Description
result	string	yes	—

No examples provided.

thinkneo_registry_review ~121

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.

Input Output Examples

Name	Type	Req	Description
comment	string	—	Review comment (max 2000 chars)
name	string	yes	Package name to review
rating	integer	yes	Rating from 1 (poor) to 5 (excellent)

Name	Type	Req	Description
result	string	yes	—

No examples provided.

thinkneo_registry_search ~162

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.

Input Output Examples

Name	Type	Req	Description
category	—	—	Filter by category: governance, security, data, development, productivity, communication, analytics, devops, finance, marketing, other
limit	integer	—	Max results to return (1-100, default 20)
min_rating	—	—	Minimum average rating (1.0-5.0)
query	string	—	Search query — matches name, description, tags, and tool names
verified_only	boolean	—	If true, return only verified packages

Name	Type	Req	Description
result	string	yes	—

No examples provided.

thinkneo_rotate_key ~37

Instruct the gateway to rotate an API key.

Input Output Examples

Name	Type	Req	Description
key_prefix	string	yes	First 8 chars of the key to rotate

Name	Type	Req	Description
result	string	yes	—

No examples provided.

thinkneo_route_model ~255

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.

Input Output Examples

Name	Type	Req	Description
budget_per_request	—	—	Maximum budget per request in USD. Omit for no limit.
estimated_tokens	integer	—	Estimated total tokens for the request (input + output). Default 1000.
max_latency_ms	—	—	Maximum acceptable latency in milliseconds. Omit for no limit.
preferred_providers	—	—	Comma-separated list of preferred providers (e.g., 'openai,anthropic'). These will be prioritized at similar cost.
quality_threshold	integer	—	Minimum quality score required (0-100). Default 85 = enterprise-grade.
task_type	string	yes	The type of AI task: summarization, classification, code_generation, chat, analysis, translation, or embedding
text_sample	—	—	Optional sample text for better routing. Helps estimate token count and task complexity. Max 500 characters.

Name	Type	Req	Description
result	string	yes	—

No examples provided.

thinkneo_router_explain ~101

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.

Input Output Examples

Name	Type	Req	Description
quality_threshold	integer	—	Minimum quality score required (0-100, default 85)
task_type	string	yes	Task type: 'summarization', 'code_generation', 'classification', 'translation', 'analysis', 'chat'

Name	Type	Req	Description
result	string	yes	—

No examples provided.

thinkneo_schedule_demo ~178

Schedule a demo or discovery call with the ThinkNEO team. Collects contact information and preferences. No authentication required.

Input Output Examples

Name	Type	Req	Description
company	string	yes	Company or organization name
contact_name	string	yes	Full name of the person requesting the demo
context	—	—	Additional context such as current AI providers used, request volume, or specific use case
email	string	yes	Business email address to receive follow-up from the ThinkNEO team
interest	—	—	Primary area of interest: guardrails, finops, observability, governance, or full platform
preferred_dates	—	—	Preferred meeting dates, times, and timezone (e.g., 'Tuesdays or Thursdays, 9-11am EST')
role	—	—	Contact's role: cto, cfo, security, engineering, or other

Name	Type	Req	Description
result	string	yes	—

No examples provided.

thinkneo_set_baseline ~199

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.

Input Output Examples

Name	Type	Req	Description
avg_duration_minutes	—	—	Average time in minutes for one unit without AI, e.g. 15
cost_per_unit_usd	number	yes	Pre-AI cost per unit in USD, e.g. 12.00 for a $12 support ticket
notes	—	—	Additional context about this baseline
process_name	string	yes	Name of the business process, e.g. 'customer_support_ticket', 'loan_review', 'content_moderation'
unit_label	string	—	What one unit represents, e.g. 'ticket', 'review', 'decision', 'document'
workspace	string	—	Workspace identifier

Name	Type	Req	Description
result	string	yes	—

No examples provided.

thinkneo_simulate_savings ~221

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!

Input Output Examples

Name	Type	Req	Description
monthly_ai_spend	number	yes	Your current monthly AI API spend in USD (e.g., 5000.00)
primary_model	string	—	Your primary model: 'gpt-4o', 'claude-opus-4', 'claude-sonnet-4', 'gpt-4.1', or 'gemini-2.5-pro'
task_distribution	—	—	JSON string of task distribution, e.g., '{"chat": 0.3, "summarization": 0.2, "code_generation": 0.2, "classification": 0.15, "analysis": 0.1, "translation": 0.05}'. Values should sum to ~1.0. Omit fo…

Name	Type	Req	Description
result	string	yes	—

No examples provided.

thinkneo_sla_breaches ~65

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

Input Output Examples

Name	Type	Req	Description
agent_name	—	—	Filter by agent name
days	integer	—	Days to look back (default 30)

Name	Type	Req	Description
result	string	yes	—

No examples provided.

thinkneo_sla_dashboard ~42

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

Input Output Examples

Input schema present but exposes no named parameters.

Name	Type	Req	Description
result	string	yes	—

No examples provided.

thinkneo_sla_define ~284

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.

Input Output Examples

Name	Type	Req	Description
agent_name	string	yes	Agent name to set SLA for (e.g., 'support-bot', 'finance-agent')
breach_action	string	—	Action on breach: 'alert' (notify), 'escalate' (notify + flag), 'disable' (stop agent), 'switch_model' (fallback model)
metric	string	yes	Metric to monitor: 'accuracy' (outcome verification rate %), 'response_quality' (avg quality score), 'cost_efficiency' (cost per verified outcome), 'safety' (guardrail pass rate %), 'latency' (avg re…
threshold	number	yes	Target threshold value (e.g., 95.0 for 95% accuracy)
threshold_direction	string	—	'min' = actual must be >= threshold (for accuracy, quality). 'max' = actual must be <= threshold (for cost, latency).
window	string	—	Rolling window: '1h', '24h', '7d', or '30d'

Name	Type	Req	Description
result	string	yes	—

No examples provided.

thinkneo_sla_status ~65

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.

Input Output Examples

Name	Type	Req	Description
agent_name	—	—	Optional: specific agent name. Leave empty for all agents.

Name	Type	Req	Description
result	string	yes	—

No examples provided.

thinkneo_start_trace ~143

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.

Input Output Examples

Name	Type	Req	Description
agent_name	string	yes	Name of the agent being traced (e.g., 'marketing-agent', 'support-bot')
agent_type	string	—	Type of agent: 'assistant', 'autonomous', 'workflow', 'pipeline', or 'generic'
metadata	—	—	Optional dict with additional context (e.g., {"task": "email-draft", "user_id": "u123"})

Name	Type	Req	Description
result	string	yes	—

No examples provided.

thinkneo_usage ~55

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).

Input Output Examples

Input schema present but exposes no named parameters.

Name	Type	Req	Description
result	string	yes	—

No examples provided.

thinkneo_verification_dashboard ~75

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.

Input Output Examples

Name	Type	Req	Description
period	string	—	Time period: '24h', '7d', or '30d'

Name	Type	Req	Description
result	string	yes	—

No examples provided.

thinkneo_verify_claim ~111

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.

Input Output Examples

Name	Type	Req	Description
claim_id	string	yes	UUID of the claim to verify (from thinkneo_register_claim)
force	boolean	—	Force re-verification even if already verified/failed

Name	Type	Req	Description
result	string	yes	—

No examples provided.

thinkneo_write_memory ~178

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.

Input Output Examples

Name	Type	Req	Description
content	string	yes	Full markdown content to write to the file.
filename	string	yes	Name of the memory file to write (e.g. 'user_fabio.md', 'project_thinkneodo_droplet.md'). Must end in .md.

Name	Type	Req	Description
result	string	yes	—

No examples provided.

On this page

Handy links

Scoring key

80+ high trust
60–79 medium
below 60 low

How we score

Score history · last 30 days

26 Jul 4 Aug

Day	Score
26 Jul	63
27 Jul	64
28 Jul	64
29 Jul	65
30 Jul	66
31 Jul	67
1 Aug	67
2 Aug	67
3 Aug	68
4 Aug	69