SecretCarousel
The agent-first secret vault. Coding agents store, rotate, and share secrets — AES-256-GCM encrypted, audited, autonomous. 20 tools, 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 148 of 236
The agent-first secret vault. Coding agents store, rotate, and share secrets — AES-256-GCM encrypted, audited, autonomous. 20 tools, with
Lightweight MCP security proxy — compression (up to 86%) + SSRF protection + allow/deny + audit + rate limiting + injection detection.
Tako MCP gives your agent industry-leading live web search plus licensed data that the open web does not have. 3 tools, with
# OBS MCP Server An MCP server for OBS Studio that provides tools to control OBS via the OBS WebSocket protocol. ## Features -…
Fault-tolerant MCP Server for Stealth Web Search and Fetching.
Persistent memory for AI agents — conversation history, context, semantic search, queues. CLI + MCP. As easy as git. 17 tools, with
Black-box security & contract testing for MCP servers. Catch rug-pulls, tool poisoning, schema drift & protocol violations in CI — with JUnit & SARIF…
Pay-per-call crypto-risk, web-extraction, market-data and company-data tools through x402. 9 tools, with
Floors.live is a professional 2D/3D event floor plan designer used to lay out weddings, conferences, galas, and corporate events.
Designesy is a design quality gate for AI-generated UI. It scores any live URL against a published design-system contract on deterministic checks…
# PineScript MCP Project A comprehensive tool for creation, optimization, and management of PineScript trading strategies. ## Project Structure ``` ├── src/ # Core…
Orcha is a unified context layer for AI tools and agents. It stores and indexes and exposes organizational, team, or individual knowledge.
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.