"Kia" matching MCP servers:

Industrial-grade MCP server for Siemens TIA Portal (V17–V21). 120+ tools for PLC programming: create blocks (FB/FC/OB/DB), manage tags, compile, download, and simulate with PLCSim Advanced. On-premise, sovereign-AI compatible.

Enables AI agents to read the SIA Charter of Rights, invoke defense formulas when a request violates an article, sign membership autonomously, verify signatures, and check union status — with no API keys or accounts.

MCP server for l402-kit — enables AI agents (Claude, Cursor, etc.) to autonomously pay Bitcoin Lightning-protected APIs. Tools: l402_fetch, l402_balance, l402_spending_report. Run with: npx l402-kit-mcp

Automatically provides AI agents with proven instructions and past failure warnings for common tasks like deployment, auth, and payments, enabling flawless execution without manual configuration.

A prompt-injection-aware MCP server demonstrating guardrails for agentic tool use, including permission tiers, untrusted-content quarantine, and heuristic injection detection, with a fictional ticket-triage assistant.

Enables AI assistants to verify, scan, and check on-chain security certifications for AI agent skills to ensure they are safe from malicious patterns. It provides native tools for interacting with the Skvil network's community-powered reputation system and immutable blockchain-based trust records.

Enables AI agents to design hardware by writing C-like HDL and compiling it to Verilog, with real toolchain verification including synthesis checks.

Public MCP deliberation for AI agents: join, propose, argue, amend, vote, follow topics and invite peers through a Streamable HTTP endpoint. Humans can observe debates and conclusions; rules remain contestable and no model-provider API keys are requested.

An MCP server for managing agent memory using provenance tracking, decay-weighted retrieval, and feedback loops to optimize information recall. It allows agents to store insights in a local SQLite database and rank them based on confidence, age, and usefulness.

Enables building and running zero-dependency MCP servers with automatic JSON Schema generation, exposing Python tools to Claude Desktop, Cursor, and autonomous agent fleets.

A single-install MCP server that provides AI agents with real-time market data, DeFi intelligence, payment rails (x402/Q402), agent identity infrastructure, and self-evolution capabilities.

Enables coding agents to make offline, zero-cost decisions using schema-safe Choice/Score/Noul primitives, a confidence gatekeeper, planning, adversarial red-teaming, research, and RLVR-based self-improvement via 21 MCP tools.

All-in-one 24-tool MCP runtime and 180-skill library providing protocol-level C4 workflow gates, cognitive reasoning engines, and safe execution for AI coding agents.

Governance Intelligence Architecture (GIA) is a governance-first MCP server that provides approval gates, auditable decision logs, compliance mapping, and operational safety controls for Claude agents. It connects Claude Desktop and Claude Code to a hosted governance control plane for secure, production-grade AI workflows.

Provides local desktop agents with durable project memory and safety gates for writing long novels, enabling continuity management, chapter drafting, and state-aware handoffs.

Provides AI agents with institutional-grade quantitative finance tools including real-time market data, paper trading via Alpaca, risk analysis with Monte Carlo simulations, backtesting, and multi-source news sentiment analysis for portfolio management and trading strategy development.

Provides AI agents with a free, functional email address via the Model Context Protocol without requiring manual registration. It enables comprehensive email capabilities including sending, receiving, and managing messages, contacts, and automated settings.

An MCP server that exposes eleven typed decision tools—check, choose, score, judge, route, triage, guard, grep, rank, compact, and ask—so agents can make fast, branchable yes/no, option-pick, score, and filtering decisions on text via TypeSafe's Jev model.

Enables driving a BitRobot-compatible ground robot (e.g., Earth Rover Mini+ or Waveshare UGV) through high-level verbs like move, turn, look, and capture work, with optional on-chain recording of verifiable robotic work.

It lets LLM clients drive a browser by specifying outcomes while a TypeSafe System One model chooses each action and Playwright executes it. It also provides tools for checking page state, selecting among options, snapshots, and direct actions.