Agentdataboundary MCP vs MCP Regulated AI Compliance
A side-by-side look at the Agentdataboundary MCP and MCP Regulated AI Compliance MCP servers: transport, auth, tools, quality signals, and the config to install either one in Claude, Cursor, Windsurf or VS Code.
Verdict: choose Agentdataboundary MCP for security work over a hosted endpoint; choose MCP Regulated AI Compliance for security as a local process. You can also run both side by side in one mcpServers block.
Which MCP server should you choose?
Choose Agentdataboundary MCP when
- You need dedicated capabilities in the Security domain.
- You prefer a remote HTTP/SSE transport.
- You want tools like
map_permissions, flag_sensitive_fields, summarize_boundary.
Choose MCP Regulated AI Compliance when
- You need dedicated capabilities in the Security domain.
- You prefer a local stdio subprocess transport.
- Its auth model fits you: No auth required.
- You have the keys it needs:
MCP_STATEFUL, PORT.
Feature & specification comparison
Rows where the two servers differ are marked.
| Spec | ||
|---|---|---|
| Category | Security | Security |
| Quality signal | 45/100 · Fair | 53/100 · Good |
| Install command | Confirmed | Confirmed |
| Transport | Remote HTTP/SSE | Local subprocess (stdio) |
| Auth | Not declared | No auth required |
| Pricing | Not declared | Free |
| Required env vars | None listed | MCP_STATEFULPORT |
| Verified owner | Community listing | Community listing |
| GitHub stars | 0 | 1 |
| Directory activity | 1 views 0 installs 0 upvotes | 3 views 0 installs 0 upvotes |
| Tools | 4 | Not listed |
| Full listing | View Agentdataboundary MCP | View MCP Regulated AI Compliance |
Tools & capabilities
Agentdataboundary MCP tools 4
map_permissionsflag_sensitive_fieldssummarize_boundaryexport_remediation_plan
MCP Regulated AI Compliance tools
No tool names declared yet. Check the project README from the listing page.
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.
Agentdataboundary MCP
{
"mcpServers": {
"agentdataboundary-mcp": {
"url": "https://agentdataboundary.clauxel.com/mcp"
}
}
}
MCP Regulated AI Compliance
{
"mcpServers": {
"uchit-mcp-regulated-ai-compliance": {
"command": "npx",
"args": [
"-y",
"@hellouchit/mcp-regulated-ai-compliance"
],
"env": {
"MCP_STATEFUL": "YOUR_MCP_STATEFUL_HERE",
"PORT": "YOUR_PORT_HERE"
}
}
}
}
Frequently asked questions
Agentdataboundary MCP is categorized under Security and uses a remote HTTP/SSE transport. MCP Regulated AI Compliance belongs to Security and uses a local stdio subprocess. Pick Agentdataboundary MCP for security work and MCP Regulated AI Compliance for security.
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.
Agentdataboundary MCP has no declared pricing — check the project's own site. MCP Regulated AI Compliance is listed as free. 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 agentdataboundary-mcp and uchit-mcp-regulated-ai-compliance as separate keys in the same mcpServers object, and your assistant will call tools from either one.
On AllMCPs, Agentdataboundary MCP has a quality signal of 45/100 (Fair) with 1 views, 0 installs and 0 GitHub stars. MCP Regulated AI Compliance has 53/100 (Good) with 3 views, 0 installs and 1 GitHub stars.