io.github.QVerisAI/mcp
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Publisher-provided title
QVeris
Publisher-provided description
Professional data and tools for AI: find services, review scope, call them, and audit usage.
Summary by lookupd
Lets an agent discover data and tool services, review their scope, call them, and audit how they were used.
Install
Claude Code, remote (streamable-http)
claude mcp add --transport http mcp https://mcp.qveris.ai/mcp
Claude Code, npm package (stdio)
claude mcp add mcp -- npx -y @qverisai/mcp
Codex, remote (streamable-http)
codex mcp add mcp --url https://mcp.qveris.ai/mcp
Codex, npm package (stdio)
codex mcp add mcp -- npx -y @qverisai/mcp
Cursor, remote (streamable-http) → .cursor/mcp.json
{
"mcpServers": {
"mcp": {
"url": "https://mcp.qveris.ai/mcp"
}
}
}Cursor, npm package (stdio) → .cursor/mcp.json
{
"mcpServers": {
"mcp": {
"command": "npx",
"args": [
"-y",
"@qverisai/mcp"
]
}
}
}Other clients: docs. Or tell your agent: Set up lookupd for me: read https://lookupd.com/agent.md and follow it.
Details
- Version: 0.15.0
- Transports: streamable-http, stdio
- Uptime (7 days): 100%
- First indexed:
- Last seen in registry:
- Repository: https://github.com/QVerisAI/qveris-agent-toolkit
- Website: https://qveris.ai
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