"Chai" matching MCP servers:

Cyber Host Artificial Intelligence (C.H.A.I) An autonomous penetration testing MCP (Model Context Protocol) server with an integrated AI decision engine, multi-provider LLM support, and an extensible plugin architecture.

Enables protein structure prediction using the Chai-1 model via Docker, with tools for small peptides, FASTA-based predictions, MSA-enhanced predictions, batch processing, and job management.

MCP server that exposes tools for monitoring supply chain disruptions, including vessel positions, port weather, congestion, and news. Includes an AI agent that synthesizes these sources to assess route risks.

Non-custodial agent wallet with a transaction preflight that decodes an unsigned EVM tx and flags drain patterns (unlimited/large approval, approve-all, token & NFT transferFrom, proxy upgrade, on-chain permit, approvals hidden in multicall) before signing.

MCP server giving AI agents access to global supply chain and trade data from UN Comtrade, World Bank, and Open Supply Hub.

An MCP server that integrates HandaaS data APIs for industrial chain analysis, enabling enterprise search, supply chain prospecting, patent analytics, and bidding intelligence.

Manages trust chains and attestations with built-in EU AI Act compliance.

Implements the Chain of Draft reasoning approach to generate minimalistic intermediate reasoning outputs while solving tasks, significantly reducing token usage while maintaining accuracy.

An MCP server that uses Groq's API to expose raw chain-of-thought tokens from Qwen's qwq model, enabling LLMs to think step-by-step before responding.

A composable middleware framework for building MCP server chains that enables the creation of transparent proxies to transform requests and responses. It allows users to add cross-cutting concerns like authentication, logging, and AI-driven orchestration to existing MCP servers.

Analyzes multi-step AI agent tool chains to compute success probability, identify bottlenecks, and suggest better execution orders, enabling more reliable agents via local pure-math computation.

Chemical safety intelligence for AI-assisted experiment design. 18 MCP tools for compatibility checks, hazard analysis, PPE, storage, waste disposal, mixing order, exposure limits, transport classification, regulatory compliance (8 jurisdictions), and signed audit reports. Supports 4,200+ chemicals in 5 languages.

Transforms prompts into Chain of Draft (CoD) or Chain of Thought (CoT) format to enhance LLM reasoning quality while reducing token usage by up to 92.4%, supporting multiple LLM providers including Claude, GPT, Ollama, and local models.

Enables supply chain management tasks such as tracking shipments, managing inventory, and supplier scorecards through MCP protocol.

A custom implementation for real-time supply chain optimization that enables parallel tool calling to provide intelligent inventory management recommendations and actionable insights in response to live supply chain events.

Enables AI agents and MCP-compliant clients to audit software bills of materials and quarantine supply-chain malicious package dependencies using Snyk and Socket.dev.

Enables natural-language supply-chain analysis over synthetic datasets through governed SQL/Python tools, providing supplier scorecards, forecast accuracy, risk detection, landed-cost comparisons, capacity planning, and quality trend insights without the LLM performing quantitative calculations.

Enables auditing cross-chain bridge token reserve invariants and monitoring outflow spikes for LayerZero and Wormhole bridges, helping detect reserve anomalies and potential vulnerabilities.

Enables automated auditing of cross-chain bridge token reserves and monitoring for anomalous outflows on LayerZero and Wormhole, integrating with MCP-compliant clients for deterministic Web3 security analysis.

An MCP server that turns the Hugging Face Hub into a conversational model picker with a tool-use eval harness to prove the agent actually uses it correctly.