"Chai" matching MCP servers:

Chain of Draft Server is a powerful AI-driven tool that helps developers make better decisions through systematic, iterative refinement of thoughts and designs. It integrates seamlessly with popular AI agents and provides a structured approach to reasoning, API design, architecture decisions, code r

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

Unifies 21 supply chain security data sources into a single MCP server, enabling AI agents to perform comprehensive package audits, vulnerability checks, provenance verification, and risk assessment across multiple ecosystems.

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.

An MCP (Model Context Protocol) server that chains calls to other MCP tools, reducing token usage by allowing sequential tool execution with result passing

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 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 OpenAI Codex to consult Claude Code for co-analysis, adversarial second opinions, and read-only file review over the Model Context Protocol, with Claude remaining advisory and unable to modify files.

Searches and browses local Claude Code and Cowork session histories stored on your machine, enabling questions about past work without uploading data.

Allows AI assistants to access and analyze your Cursor conversation history, enabling personalized coding assistance based on your actual development patterns.

A Model Context Protocol plugin that helps AI assistants maintain persistent project context through structured markdown files, providing a systematic approach to tracking project goals, decisions, progress, and patterns.

Enables code reviews and analysis by connecting Codex to ChatGPT in Chrome.

Enables developers to analyze Django projects for risky code patterns such as cascade delete impact, N+1 queries, unsafe migrations, and unscoped tenant reads through MCP tools and a CLI.

Enables Claude to programmatically create and modify Figma animations (keyframes and motion styles) using the Figma Motion API via a plugin bridge.

Precise character-level string indexing for LLMs. Provides tools for finding, extracting, and manipulating text by exact character position to solve position-based operations.

Sends messages to Google Chat via webhooks with automatic Markdown to Cards V2 conversion, supporting headers, lists, code blocks, tables, and images with validation and fallback handling.

A command-line interface application enabling interactive chat with AI models via the Anthropic API. It supports document retrieval, command-based prompts, and extensible tool integrations through the MCP architecture.

MCP Chat is a CLI application that enables interactive chat with AI models via the Anthropic API, supporting document retrieval, command-based prompts, and extensible MCP tool integrations.

An MCP server that enables analyzing and querying GitHub repositories through the GitHub Chat API, allowing users to index repositories and ask questions about their code, architecture and tech stack.

A command-line chat interface that connects to an MCP server for reading and editing documents. It provides tools for document manipulation, resource access, and prompts for formatting and summarization.