Prompt To Asset
MCP server + CLI for production-grade software assets (logos, app icons, favicons, OG, illustrations) — routes across 30+ image models, zero-key…
Find MCP servers that connect AI assistants to useful tools and data. Explore what each server does, its setup and its documentation.
2703 servers · Page 194 of 226
MCP server + CLI for production-grade software assets (logos, app icons, favicons, OG, illustrations) — routes across 30+ image models, zero-key…
Unslop Skill MCP Server: Unslop: audit plugin for Claude Code and Codex.
AI-powered code generator for Arbitrum Stylus, SDK bridging, dApps & Orbit chains — 19 MCP tools with RAG. 19 tools, with
# Fetch MCP Server A Model Context Protocol server that provides web content fetching capabilities. This server enables LLMs to retrieve and process content…
# Knowledge Graph Memory Server A basic implementation of persistent memory using a local knowledge graph. This lets Claude remember information about the user…
Your machine's AI brain. One 20MB binary gives every tool, script, and cron job shared AI memory + 136 API endpoints.
Локальный семантический граф и MCP-сервер для Markdown и Obsidian.
Diptrace MCP Server: MCP server and live XML bridge for DipTrace.
Free, open-source MCP servers for federal contracting: SAM.gov, USAspending, GSA CALC+, eCFR, Federal Register, and more.
Nepali temporal infrastructure for BS/AD conversion, fiscal calendars, Panchanga, festivals, working days, provenance, SDKs, MCP, and Future BS…
Verified catalog of 300+ APIs and MCP servers with opinions and statistics so that AI agents can call after a one-time API key/OAuth setup.
# mcp-server-git: A git MCP server ## Overview A Model Context Protocol server for Git repository interaction and automation. This server provides tools to…
An MCP server exposes tools or data through the Model Context Protocol so a compatible AI client can use them. Each project has its own installation, authentication and permission requirements.
Open a server’s page for its getting-started notes, compatibility and sources, then follow the original project’s documentation for your AI client.
Entries link to the original documentation. Check access requirements, costs and maintenance there before installing, and grant a server only the access it needs.