io.github.SentioGate/sentiogate-mcp
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Publisher-provided title
SentioGate FinOps & LLM Router
Publisher-provided description
BYOK AI router & FinOps control plane: audit token waste, check tool safety, and rank models.
Summary by lookupd
Audits LLM token waste, routes chat sub-tasks across models, checks tool calls for security risks, and reports FinOps spend.
Install
Claude Code, remote (streamable-http)
claude mcp add --transport http sentiogate https://api.sentiogate.dev/v1/mcp
Claude Code, npm package (stdio)
claude mcp add sentiogate -- npx -y @sentiogate/mcp
Codex, remote (streamable-http)
codex mcp add sentiogate --url https://api.sentiogate.dev/v1/mcp
Codex, npm package (stdio)
codex mcp add sentiogate -- npx -y @sentiogate/mcp
Cursor, remote (streamable-http) → .cursor/mcp.json
{
"mcpServers": {
"sentiogate": {
"url": "https://api.sentiogate.dev/v1/mcp"
}
}
}Cursor, npm package (stdio) → .cursor/mcp.json
{
"mcpServers": {
"sentiogate": {
"command": "npx",
"args": [
"-y",
"@sentiogate/mcp"
]
}
}
}Other clients: docs. Or tell your agent: Set up lookupd for me: read https://lookupd.com/agent.md and follow it.
Tools (6 tools)
Publisher-provided text
sentiogate_audit_wasteAnalyze past LLM request logs (raw JSON/JSONL/CSV or array of message turns) to detect cost waste, unnecessary context bloat, prompt-cache opportunities, and acsentiogate_get_finops_ledgerFetch real-time SentioGate BYOK FinOps metrics: measured spend by provider, prompt-cache USD savings, active sessions, and remaining 5-hour Community Pool quotasentiogate_recommend_modelRecommend the optimal model and provider fallback chain for a given coding or agent task based on real-time task difficulty, live catalog pricing, and measuredsentiogate_guard_checkPre-flight check tool calls, terminal commands, or conversation history against SentioGate Armor security rules (credential leakage, destructive rm, pipe-to-shesentiogate_optimize_payloadPreview and simulate context compaction and tool-output trimming on an array of conversation messages without executing upstream model inference.sentiogate_delegate_promptRoute a chat completion sub-task through SentioGate (using model "auto" or a pinned provider/model) or enqueue it on the background batch queue.
Details
- Version: 1.0.3
- Transports: streamable-http, stdio
- Uptime (7 days): 100%
- Median latency: 823 ms
- First indexed:
- Last seen in registry:
- Repository: https://github.com/SentioGate/sentiogate-mcp
- Website: https://sentiogate.app
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