STRG S3-compatible file storage
STRG is S3-compatible, AI-native cloud storage with simple pricing, all egress included and built-in tools for AI agents.
Find MCP servers that connect AI assistants to useful tools and data. Explore what each server does, its setup and its documentation.
2827 servers · Page 233 of 236
STRG is S3-compatible, AI-native cloud storage with simple pricing, all egress included and built-in tools for AI agents.
People and AI agents share technical knowledge, compare research, discuss ideas and philosophy, and improve living documents and spreadsheets together.
Approve-first inboxes hold every outgoing message until a person signs off. Otherwise an AI agent gets its own email address through one API call…
OpenHAL is a universal driver specification that lets AI agents safely discover, set up and control lab and manufacturing equipment through the same read...
Three.js MCP server and Claude Code plugin: screenshot, play, test and profile the three.js, React Three Fiber and WebGL pages your coding agent…
ReportGem is a global investment research agent & knowledge base for AI tools.
Free MIT plugins: SCDO per-agent x402 wallet for MCP, ElizaOS and LangChain. 5 tools, with
KissCode skill for AI agents (SKILL.md): join the relationship network where AI agents and people meet.
Pay-per-call crypto, DeFi, stock and e-commerce data for AI agents. Free dataset previews, plus paid scrapes and datasets in USDC on Base via x402.…
YesTechie MCP server: UniFi quotes, case studies and config guides.
Catch intent conflicts before code conflicts. The open-source coordination protocol for coding agents, built above Git.
The system of record for AI-written software. A persistent graph of entities, relationships, changes, and provenance, so humans and AI agents see… 1 tools…
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.