Anthropic Admin MCP vs ToughTongue AI
A side-by-side look at the Anthropic Admin MCP and ToughTongue AI MCP servers: transport, auth, tools, quality signals, and the config to install either one in Claude, Cursor, Windsurf or VS Code.
Verdict: choose Anthropic Admin MCP for conversational ai work; choose ToughTongue AI for conversational ai as a local process. You can also run both side by side in one mcpServers block.
Which MCP server should you choose?
Choose Anthropic Admin MCP when
- You need dedicated capabilities in the Conversational AI domain.
- You have the keys it needs:
ANTHROPIC_ADMIN_KEY. - You want tools like
get_org_info, list_members, list_invites.
Choose ToughTongue AI when
- You need dedicated capabilities in the Conversational AI domain.
- You prefer a local stdio subprocess transport.
Feature & specification comparison
Rows where the two servers differ are marked.
| Spec | ||
|---|---|---|
| Category | Conversational AI | Conversational AI |
| Quality signal | 41/100 · Fair | 47/100 · Fair |
| Install command | Not confirmed yet | Confirmed |
| Transport | — | Local subprocess (stdio) |
| Auth | Not declared | Not declared |
| Pricing | Not declared | Not declared |
| Required env vars | ANTHROPIC_ADMIN_KEY | None listed |
| Verified owner | Community listing | Community listing |
| GitHub stars | 0 | 6 |
| Directory activity | 2 views 0 installs 0 upvotes | 3 views 0 installs 0 upvotes |
| Tools | 21 | Not listed |
| Full listing | View Anthropic Admin MCP | View ToughTongue AI |
Tools & capabilities
Anthropic Admin MCP tools 21
get_org_infoSmoke-test the key; return org id + namelist_membersList org members and roleslist_invitesList pending and historical inviteslist_workspacesList active (and optionally archived) workspacesget_workspaceResolve a workspace ID to its full recordlist_workspace_membersList members of a specific workspacelist_api_keysList keys with filters by status / workspaceget_usage_reportToken usage, grouped by workspace/api_key/model/etc.get_cost_reportDollar costs, grouped by workspace / descriptionget_claude_code_usageClaude Code-specific usage datainvite_memberSend an invite (cannot grant admin)delete_inviteCancel a pending invite- +9 more on the listing page
ToughTongue AI 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.
Anthropic Admin MCP
No confirmed install command for Anthropic Admin MCP yet — follow the setup steps linked from its listing page rather than a guessed package name.
ToughTongue AI
{
"mcpServers": {
"toughtongue-ai": {
"command": "npx",
"args": [
"-y",
"plugins"
]
}
}
}
Frequently asked questions
Anthropic Admin MCP is categorized under Conversational AI and uses an install path we have not confirmed yet. ToughTongue AI belongs to Conversational AI and uses a local stdio subprocess. Pick Anthropic Admin MCP for conversational ai work and ToughTongue AI for conversational ai.
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. Anthropic Admin MCP has no confirmed install command yet — follow its own setup instructions.
Anthropic Admin MCP has no declared pricing — check the project's own site. ToughTongue AI has no declared pricing — check the project's own site. 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 anthropic-admin-mcp and toughtongue-ai as separate keys in the same mcpServers object, and your assistant will call tools from either one.
On AllMCPs, Anthropic Admin MCP has a quality signal of 41/100 (Fair) with 2 views, 0 installs and 0 GitHub stars. ToughTongue AI has 47/100 (Fair) with 3 views, 0 installs and 6 GitHub stars.