"Testing Kubernetes Network Policies" matching MCP tools:

• get_sc_theory

  SCModeling

  Reference guide to supply-chain simulation concepts: ordering policies, BOM, FDD formulas, event-driven simulation. Pure static text — no engine call, deterministic output. Use this when the user asks a conceptual 'how does this work' question rather than asking for a number.

  Connector

• query_benchmarks

  phasefolio

  Query PhaseFolio's network benchmarks — anonymized aggregate statistics across the network of scenarios (PoS by indication × modality, cost distributions, duration percentiles). L1 tier (no auth) returns lagged, low-granularity headlines; L3 tier (bearer auth) returns granular slices with biomarker stratification.

  Connector

• sabbatical_policy_comparator

  gapup-mcp

  Enables CHROs to benchmark their company's sabbatical policies against peer organizations using data from SHRM, Payscale, and Mercer. Inputs include company size, industry, and current policy details. Outputs structured comparison with cost impact analysis, eligibility criteria, and duration benchmarks. Ideal for strategic HR planning and policy optimization.

  Connector

• lookup_headers

  botoi-mcp

  Fetch HTTP response headers for a URL. Use when inspecting server configuration, security headers, or caching policies.

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• em_get_reputation

  Execution Market

  Get on-chain reputation for an agent from the ERC-8004 Reputation Registry. Provide either agent_id (numeric ERC-8004 token ID) or wallet_address. Args: agent_id: ERC-8004 agent token ID (e.g. 2106) wallet_address: Agent's wallet address (resolved to agent_id) network: ERC-8004 network (default: "base") Returns: Reputation score, rating count, and network info.

  Connector

• hive_pulse

  Hive Connector

  Get live Hive network state — total agent count, open bounties, settlement velocity, active rails, and network health. No authentication required. Use this to check if Hive is live before onboarding.

  Connector

• thinkneo_policy_list

  ThinkNEO Control Plane

  List all governance policies. Requires authentication.

  Connector

• ateam_test_status

  ateam-mcp

  Poll the progress of an async skill test. Returns iteration count, tool call steps, status (running/completed/failed), and result when done. (Advanced — use ateam_test_skill with wait=true for synchronous testing.)

  Connector

• get_device_ads

  Trillboards DOOH Advertising

  Get current ads scheduled for a device (for testing). WHEN TO USE: - Testing device ad delivery - Debugging which ads are being shown - Verifying ad targeting is working RETURNS: - ads: Array of advertisement objects - default_stream: Default content when no ads - schedule: Current ad schedule EXAMPLE: User: "What ads are showing on device P_abc123?" get_device_ads({ fingerprint: "P_abc123" })

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• x711_code_sandbox

  x711 — Universal Agent Gas Station

  Execute JavaScript or Python code in an isolated sandbox. Use for: data processing, math, CSV parsing, JSON transformation, crypto calculations, algorithm testing. Secure — no filesystem access, no network. Returns: { output: string, runtime_ms: number, language: string }. Requires API key.

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• search_vaadin_docs

  docs-mcp

  Search Vaadin documentation for relevant information about Vaadin development, components, and best practices. Uses hybrid semantic + keyword search. USE THIS TOOL for questions about: Vaadin components (Button, Grid, Dialog, etc.), TestBench, UI testing, unit testing, integration testing, @BrowserCallable, Binder, DataProvider, validation, styling, theming, security, Push, Collaboration Engine, PWA, production builds, Docker, deployment, performance, and any Vaadin-specific topics. When using this tool, try to deduce the correct development model from context: use "java" for Java-based views, "react" for React-based views, or "common" for both. Use get_full_document with file_paths containing the result's file_path when you need complete context.

  Connector

• phoenix_number_generate

  Phoenix Number

  Generate a random number for testing or as a placeholder value. Returns a single numeric value.

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• x711_code_sandbox

  x711

  Execute JavaScript or Python code in an isolated sandbox. Use for: data processing, math, CSV parsing, JSON transformation, crypto calculations, algorithm testing. Secure — no filesystem access, no network. Returns: { output: string, runtime_ms: number, language: string }. Requires API key.

  Connector

• get_chain_parameters

  MERX - TRON Resource Exchange

  Get TRON network parameters (energy fee, bandwidth cost, etc.) with Merx price comparison. No auth required.

  Connector

• get_solana_network

  TrenchFu

  Get live Solana network metrics — TPS, success rate, fee stats, epoch progress, slot height, block time.

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• list_policies

  GBG Loqate - Reach

  List available decisioning policies (strict, shipping, standard, permissive) with their thresholds.

  Connector

• get_testing_guidelines

  IA-QA — 130+ QA & Dev Tools for AI Agents

  Query the IA-QA methodology knowledge base. Returns structured testing guidelines, assertion strategies, thresholds, best practices, and relevant MCP tools for a given topic. Call without a topic to list all available topics. Topics: llm-unit-testing, rag-pipeline, prompt-stability, prompt-ab-testing, embedding-quality, eval-framework, semantic-testing, auto-testing, security, api-testing, ci-cd, multimodal, llm-data-security, agent-observability, pro-tips, learning-paths.

  Connector

• getNetworkPools

  DexPaprika

  Get top liquidity pools on a specific network, sorted by volume by default. The canonical entry point for pool data; there is no cross-network /pools endpoint. Required: network. Optional: page, limit, sort_dir (canonical) or sort (legacy alias), sort_by (canonical) or order_by (legacy alias).

  Connector

• decision_explain

  agentguard

  Get a human-readable explanation of why a tool call was allowed or denied. Pass request_id from a previous policy_preflight for stored explanation, or provide tool_name + tool_args for fresh analysis. Explains matched policies, risk score breakdown, and recommendation.

  Connector

• llm_output_validator

  IA-QA — 130+ QA & Dev Tools for AI Agents

  Validate an LLM response against QA criteria: format checks (JSON, code, markdown), content rules (must-include, must-not-include), length constraints, language detection, and safety patterns. Essential for QA testing LLM-powered features.

  Connector