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aicode-toolkit

by AgiFlow

Overview

An MCP proxy server that aggregates multiple Model Context Protocol (MCP) servers, enabling on-demand tool discovery and execution, thereby significantly reducing AI agent token usage and improving context window efficiency by loading tools progressively.

Installation

Run Command
npx -y @agiflowai/one-mcp mcp-serve --config ./mcp-config.yaml

Environment Variables

  • MY_API_KEY
  • TOKEN
  • PROJECT_PATH

Security Notes

The server can execute arbitrary local commands (via 'command' and 'args' in 'mcp-config.yaml' for stdio servers) and make HTTP/SSE requests to arbitrary remote URLs defined in its configuration. If the 'mcp-config.yaml' is not secured or is user-editable in a multi-tenant environment, this can lead to severe remote code execution (RCE) or Server-Side Request Forgery (SSRF) vulnerabilities. The responsibility for securing the configuration and deployment environment falls heavily on the user. While tool blacklisting is available, it requires proper setup.

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Stats

Interest Score73
Security Score4
Cost ClassLow
Avg Tokens400
Stars122
Forks21
Last Update2026-01-16

Tags

MCP proxytoken efficiencytool discoveryAI agentsprogressive loadingcontext management