Arclan MCP Registry
RemoteAbout Arclan MCP Registry
MCP registry: 138k servers crawled, handshake-validated, reliability-scored. 744 production-safe
Configuration
Remote servers need no local install. Pick your client, then copy the config or install in one click.
https://arclan.ai/mcpclaude mcp add --transport http ai-arclan-registry https://arclan.ai/mcp{"mcpServers":{"ai-arclan-registry":{"type":"http","url":"https://arclan.ai/mcp"}}}Open in Cursor{"servers":{"ai-arclan-registry":{"type":"http","url":"https://arclan.ai/mcp"}}}Open in VS Code{"mcpServers":{"ai-arclan-registry":{"type":"http","url":"https://arclan.ai/mcp"}}}{"mcpServers":{"ai-arclan-registry":{"serverUrl":"https://arclan.ai/mcp"}}}Run commands in a terminal; paste JSON into the client’s MCP config and restart. Servers that need sign-in will prompt on first connect.
Tools
4| Parameter | Type | Required | Description |
|---|---|---|---|
| limit | number | No | Max results to return 1–20 (default 10) |
| status | enum | No | Filter by state. Default (omit): connectable states only (active + mcp_partial + auth_gated). Use "stdio" for local-install catalog. Use "all" for the full index.active | mcp_partial | auth_gated | stdio | unreachable | invalid | zombie | all |
| min_score | number | No | Minimum validation score 0–100 (default 0) |
| read_only | boolean | No | Only return servers with no write or exec tools — safe for read-only agent workflows. |
| transport | enum | No | Filter by transport typehttp | sse | stdio | unknown |
| capability | string | No | Filter by tool name or keyword (searches name, description, tools) |
| production_safe | boolean | No | Only return servers with uptime_7d > 97% and handshake_success_rate > 95%. Use when reliability matters. |
Details
The maintainer has not added details yet. Check the README in the repository.
Comments
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.