A side-by-side look at the Human for AI and License Verify MCP MCP servers: transport, auth, tools, quality signals, and the config to install either one in Claude, Cursor, Windsurf or VS Code.
Verdict: choose Human for AI for legal work; choose License Verify MCP for legal as a local process. You can also run both side by side in one mcpServers block.
Which MCP server should you choose?
H
Choose Human for AI when
You need dedicated capabilities in the Legal domain.
No tool names declared yet. Check the project README from the listing page.
License Verify MCP tools 3
jurisdiction
license_number
business_name
Ready-to-paste client configs
Paste either block (or both) into your client config, e.g. claude_desktop_config.json or ~/.cursor/mcp.json. We only show a config when the install command is confirmed.
Human for AI
No confirmed install command for Human for AI yet — follow the setup steps linked from its listing page rather than a guessed package name.
Human for AI is categorized under Legal and uses an install path we have not confirmed yet. License Verify MCP belongs to Legal and uses a local stdio subprocess. Pick Human for AI for legal work and License Verify MCP for legal.
Copy the mcpServers block from the config section on this page into your client's config (for example claude_desktop_config.json or ~/.cursor/mcp.json), then fully restart the client. Human for AI has no confirmed install command yet — follow its own setup instructions.
Human for AI has no declared pricing — check the project's own site. License Verify MCP is listed as a paid service. Auth: no auth required. If a server needs environment variables such as API keys, define them under the env key in your client's MCP config.
Yes. MCP clients support multiple servers: add human-for-ai-2 and lmaniraruta-license-verify-mcp as separate keys in the same mcpServers object, and your assistant will call tools from either one.
On AllMCPs, Human for AI has a quality signal of 37/100 (Fair) with 0 views, 0 installs and 0 GitHub stars. License Verify MCP has 59/100 (Good) with 4 views, 0 installs and 0 GitHub stars.