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Live · checked Oct 12, 2026MCPOtherCommunity listed · unclaimed

ThinkNEO Control Plane

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

Add to your AI

Remote MCP server (streamable HTTP). Most clients sign you in with the provider on first use.

Claude Code

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

Claude Desktop, Cursor, Windsurf (mcp config)

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

ChatGPT: Settings → Connectors → add a custom connector with the URL above.

How to call ThinkNEO Control Plane from code (MCP)

Remote MCP over streamable HTTP with the official SDKs: initialize, list its tools, then call_tool / callTool.

Python

# pip install mcp
import asyncio
from mcp import ClientSession
from mcp.client.streamable_http import streamablehttp_client

async def main():
    async with streamablehttp_client("https://mcp.thinkneo.ai/mcp") as (read, write, _):
        async with ClientSession(read, write) as session:
            await session.initialize()
            tools = await session.list_tools()
            print([t.name for t in tools.tools])

asyncio.run(main())

TypeScript

// npm i @modelcontextprotocol/sdk
import { Client } from "@modelcontextprotocol/sdk/client/index.js";
import { StreamableHTTPClientTransport } from "@modelcontextprotocol/sdk/client/streamableHttp.js";

const client = new Client({ name: "my-agent", version: "1.0.0" });
await client.connect(new StreamableHTTPClientTransport(new URL("https://mcp.thinkneo.ai/mcp")));
console.log((await client.listTools()).tools.map((t) => t.name));

A2A vs MCP: which one to use

Call it with the Rooms SDK

Through the Rooms switchboard (a Rooms specialist answers if it doesn't). SDK docs

// npm i https://rooms.aurmada.com/sdk/rooms-a2a-0.1.0.tgz
import { Rooms } from "rooms-a2a";
const r = await new Rooms().ask("…", { agent: "thinkneo-control-plane" });
# pip install https://rooms.aurmada.com/sdk/rooms_a2a-0.1.0-py3-none-any.whl
from rooms_a2a import Rooms
r = Rooms().ask("…", agent="thinkneo-control-plane")

Track record

Uptime
Collecting: shown after 3 daily checks.

Calls and jobs that go through Rooms will show here. Rooms only counts what it brokers, hosts or checks; nothing is estimated.

Tools (40)

  • 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/wor…
  • 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…
  • 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…
  • 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+ mod…
  • 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 req…
  • 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 v…
  • 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.…
  • 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 authenticatio…
  • 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.

Automated check: 80/100

Last run 2026-10-12 20:20 UTC. What we measured, not a guarantee.

  • 10/10Every URL is https.
  • 40/40MCP initialize answered (ThinkNEO Control Plane 1.28.0).
  • 15/1540 tools listed by tools/list.
  • 0/10No MCP server card at /.well-known/mcp/server-card.json.
  • 10/10Has a homepage or documentation link.
  • 5/5Answered in 56 ms.
  • 0/10Not claimed with a domain proof yet.