MCP server
MCP Selection Lab
io.github.ChanghuLiu/mcp-selection-lab
Checked 26 Oct 2026, 08:29 UTC · Connected to it and listed its tools
Benchmark MCP tool selection with metadata-only routing, collision, abstention, and holdout checks.
Working at last checkAbout 495 tokens per request once connected3 tools
https://agenttrustlab.com/mcp
At a glance
- Type
- MCP server
- Publisher
- Not verified
- Status
- Working at last check
- Tools
- 3
- Token cost
- About 495 tokens per request
- Sets up in
- Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok
- Last checked
- 26 Oct 2026, 08:29 UTC
Connect it to your agent
Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.
Claude Code
claude mcp add --transport http mcp-selection-lab https://agenttrustlab.com/mcp
Claude Desktop
Settings → Connectors → Add custom connector, and paste the URL.
Codex (config.toml)
[mcp_servers.mcp-selection-lab] url = "https://agenttrustlab.com/mcp"
Gemini CLI
{"mcpServers":{"mcp-selection-lab":{"httpUrl":"https://agenttrustlab.com/mcp"}}}
Cursor
{"mcpServers":{"mcp-selection-lab":{"url":"https://agenttrustlab.com/mcp"}}}
VS Code
{"servers":{"mcp-selection-lab":{"type":"http","url":"https://agenttrustlab.com/mcp"}}}
Antigravity
agy mcp add mcp-selection-lab https://agenttrustlab.com/mcp
ChatGPT
Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.
OpenAI API (Responses tools)
{"type":"mcp","server_label":"mcp-selection-lab","server_url":"https://agenttrustlab.com/mcp","require_approval":"always"}
Grok (xAI API tools)
{"type":"mcp","server_label":"mcp-selection-lab","server_url":"https://agenttrustlab.com/mcp"}
Tools
get_selection_report~96 tokens
Read and agent-enrich an existing public scan report by id; no new target request or model call.scan_mcp_metadata~334 tokens
Create a free public report of MCP tool-description routing collisions. Reads discovery metadata (initialize/tools/list) only; never calls target business tools or spends funds. Use a public HTTP(S) URL without credentials, query or fragment. Results use at most 12 tools and 24 generateselection_lab_info~65 tokens
Get free service capabilities, limits, privacy and connection details; does not scan a target.
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