MCP server that analyzes your codebase and refines coding prompts before your AI agent acts on them

MCP server that refines your coding prompts with real codebase context before your AI agent acts on them.

Token-efficient recursive thinking MCP server for AI agents. Achieve production-ready solutions through iterative refinement with 70% token reduction. Perfect for Claude, AI problem-solving, and complex task automation.

Automated XRD phase identification and Rietveld refinement — a dara tree search explores phase combinations and BGMN-refines each one, no manual peak matching. Ranked solutions with interactive Plotly charts, phase-weight tables, exportable refinement files, and an MCP server for headless AI-agent control.

The numbers No Man's Sky doesn't show you: refining, cooking, crafting, nanites, storage and portal addresses, read from the game files. As a web app (nmsii.dlu.one), a terminal app (Textual TUI), an MCP server for AI assistants, llms.txt markdown, and a printable cheat sheet.

MCP server for finding, testing and refining regex patterns

A MCP for querying MyAnonamouse.net . This code is moderately complete, future versions will likely only refine.

A MCP for controlling Deluge the BitTorrent client. This code is in an enhance and refine phase.

MCP-first prompt governance, refinement, and engineering evidence correlation

Local prompt refinement with a Rust MCP server and optional API proxy. Development-stage tooling with documented privacy and integration boundaries.

MCP server for Canvas Builder — let AI agents build, refine, publish, and download real multi-page websites.

A high-efficiency MCP server that eliminates "Context Bloat" by refining, cleaning, and structuring raw data (like Wikipedia or web scrapes) into token-optimized XML before it reaches your AI agent.

--- A powerful Model Context Protocol (MCP) server that helps refine AI-generated content to sound more natural and human-like. Built with advanced AI detection and text enhancement capabilities.

Find your first 100 SaaS users. Paste an app idea. Gorilla searches Reddit, X, YouTube, and TikTok for posts where people are actively asking for what you're building, then scores them by buying intent. ## Tools - `find_leads` — full pipeline, returns scored leads in 60-120s - `refine_idea` — conversational refinement before searching - `expand_themes` — keywords, pain points, competitors - `search_source` — search a single platform with custom queries - `draft_outreach` — platform-tuned reply for a specific lead - `plan_acquisition_funnel` — Week-1 outreach plan from HIGH-intent leads - `get_run`, `list_runs`, `billing_status` — free utilities ## Pricing - $0.99 single run - $3.99/week Pro (5 runs) - $149.99 lifetime (unlimited) Get your API key at [usegorilla.app](https://usegorilla.app). Homepage: https://usegorilla.app GitHub Repository: https://github.com/opusforge/gorilla-mcp

Open-source 2D animation editor. Create with Claude Code or Codex via MCP, then refine layers and keyframes visually.

Permission-safe prompt refinement and bounded graph orchestration for Codex, Claude Code, Cursor, and GitHub Copilot.

MCP agent that transforms high-level business intents into structured Data Product Requirement Prompts through AI-powered conversational refinement

MCP server in Docker wrapping WebSearchAgent.py — DuckDuckGo-powered deep web search with iterative refinement and content extraction. No API key required. Works with any MCP agent via stdio or streamable HTTP.

A comprehensive Model Context Protocol (MCP) server suite for academic research workflow automation. Includes 6 specialized servers for complete research pipeline from question refinement to report generation.

Self-hosted multi-agent AI platform: generates, evaluates and refines LLM answers until they hit a quality bar (~22% more accurate, ~45% fewer hallucinations)

Bring a design specialist to your AI workflow. 12 MCP tools connect v0 to Claude Code, GitHub Copilot, and any MCP-compatible agent — for design consultation, component generation, and iterative refinement. Free during preview.

Prompt evolution engine — evidence-backed cognitive identity for AI agents with traits, crystallization-gated refinement, level-up consolidation, and full rollback. Node 24+, built-in node:sqlite, zero runtime dependencies.

Self-evolving knowledge management system: Obsidian vault + a zero-dependency MCP server (86 tools). Refines raw materials into structured knowledge, evolves its own rules, and runs 24/7 patrol automation

The AI-agent CMS your clients can still edit visually. Agents build entire sites via the Claude Code skill or MCP server; humans refine them in an Elementor-style editor. Next.js 15 + Prisma, self-hosted, AGPL.

Shrimp Task Manager is a task tool built for AI Agents, emphasizing chain-of-thought, reflection, and style consistency. It converts natural language into structured dev tasks with dependency tracking and iterative refinement, enabling agent-like developer behavior in reasoning AI systems.

Font discovery and typography tools for AI agents. Explore local open and proprietary collections, refine by visual similarity, compare real text in context, and resolve exact assets through a JSON CLI and MCP. Fonts and model inference stay local; usage rights vary by source.

Six MCP servers that automate the full academic research pipeline — from refining a vague research question to generating a publication-ready report. Each server handles a distinct stage of the workflow: question development, data processing, code generation, script execut

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 reviews, and implementation planning.

IAM Policy Autopilot is an open source static code analysis tool that helps you quickly create baseline AWS IAM policies that you can refine as your application evolves. This tool is available as a command-line utility and MCP server for use within AI coding assistants for quickly building IAM policies.

ONLYOFFICE Presentation MCP Bridge Let an AI assistant work directly inside the presentation you have open in ONLYOFFICE. Most presentation agents generate a new .pptx file every time they make a change. That workflow is slow, creates duplicate files, and can overwrite work you have already refined by hand.

An open source Model Context Protocol (MCP) server and command-line tool that helps your AI coding assistants quickly create baseline IAM policies that you can refine as your application evolves, so you can build faster. IAM Policy Autopilot analyzes your application code locally to generate identity-based policies for application roles, enabling faster IAM policy creation and reducing access troubleshooting time. IAM Policy Autopilot supports applications built in Python, Go, TypeScript, and Java.

Lets agents create sessions, split panes, run commands, and capture output with TMUX.

A grammar and method for progressively resolved worlds, concepts, understanding, and stories, with a Rust engine and MCP server.