Trytet
# Trytet Engine > **The optimally solved agentic sandbox.** Agents call solvers. Solvers hang. Trytet makes sure the agent doesn't. Deterministic Wasm execution with…
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 74 of 236
# Trytet Engine > **The optimally solved agentic sandbox.** Agents call solvers. Solvers hang. Trytet makes sure the agent doesn't. Deterministic Wasm execution with…
Receive-only temporary inboxes for authorized QA. Create inboxes and read messages, verification codes and links with inbox-specific tokens.
Hosted MCP server for UberLLM, one OpenAI- and Anthropic-compatible API key for 490+ AI models. Tools: list and price models, make and edit images…
Insurance Sales Mcp is a Hong Kong Insurance Sales MCP Server that acts as a GL-44/GL34 compliance engine, providing 11 tools for insurance advisory…
# FlipDomain Domain Sales Search a live catalog of 2,972 premium domains for sale from any MCP-compatible client. Inspect current asking prices and buyer…
Tubask — hosted YouTube MCP for Claude & Cursor ·
Mowgli is an intelligent product canvas that connects to your coding agent over MCP or as an Agent Skill. Use it to turn an…
Map a company domain to its official social media presence across LinkedIn, X, Instagram, Facebook, and YouTube. Returns profile URLs and follower counts in…
# webbersites-x402-mcp 31 pay-per-call tools for AI agents, paid in USDC on Base via the [x402 protocol](https://www.x402.org). No API keys, no accounts, no subscriptions…
Finance Toolkit gives AI assistants access to 200+ financial metrics calculated transparently from raw financial statements. 25 tools, with
## tinysend MCP Email infrastructure for AI agents — create newsletters, manage subscribers and contacts, and write & send broadcasts, all over the Model…
Constitutional-AI safety guardrails for any LLM — MCP server (npm: @creedspace/mcp-server, registry: io.github.Creed-Space/creedspace-mcp-server).
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.