MCP Server Marketplace: 1000+ AI Tools
MCPize hosts 1000+ Model Context Protocol servers for AI assistants, automation, databases, and search. One-click install for Claude, Cursor, VS Code, and any MCP client. One subscription gives you a single API key across every paid server.
agent-memorystore-mcp
MCP server providing persistent cross-session memory for AI agents — store, recall, search, and summarize memories across agent boundaries
secure-vault-mcp
MCP server for agent-native secrets management — store, rotate, and inject secrets without agents seeing raw values
agent-costcenter-mcp
MCP server for per-agent cost attribution, budget management, and spend analytics across AI agent fleets
token-lens-mcp
MCP server for analyzing and optimizing context window token usage — audit tool definitions, compress schemas, track usage, and reduce bloat
agent-guard-mcp
MCP server that detects and prevents infinite agent loops — circuit breakers, pattern detection, and stuck-agent recovery for agentic systems
Agentic Observability
Captures traces, logs, and metrics from AI agent executions in MCP environments. Developers query runtime data to debug agent behaviors, analyze decision paths, and measure performance. Suited for AI engineers optimizing autonomous systems and multi-agent workflows.
Domain Expertise
Domain Expertise MCP server (domain-expertise-mcp) equips AI models with access to specialized knowledge across technical and industry domains via the Model Context Protocol. It delivers expert-level facts, best practices, and insights for precise query handling. AI developers and researchers use it to ground responses and reduce inaccuracies in domain-specific applications.
Agent Security
Agent Security MCP server enforces security protocols for AI agents in Model Context Protocol environments. It handles agent authentication, access controls, and activity monitoring to block unauthorized actions. AI developers and security engineers use it for safe agent-tool interactions in production systems.
GCC Intelligence
Exposes GCC compiler intelligence through the MCP protocol for programmatic access to diagnostics, optimizations, and code analysis. Developers retrieve structured compiler feedback on code snippets to integrate into build systems, IDEs, and static analyzers. Data analysts use it to study compilation patterns and performance metrics.
