SolSentry
БесплатноПоддерживаетсяProvides post-deploy Solana threat intelligence, enabling AI agents to check operators, tokens, and network stats for detecting rug pulls and malicious activity
Описание
Provides post-deploy Solana threat intelligence, enabling AI agents to check operators, tokens, and network stats for detecting rug pulls and malicious activity.
README
RugCheck tells you a fire is burning. SolSentry tells you who lit it.
SolSentry packages its public operator-risk intelligence surface as an MCP
server, a TypeScript SDK, and a skills bundle. All interfaces use the live REST
API at https://api.solsentry.app.
Live references
Precision is auditable per-mint at /v1/predictions/{mint} (live). Pull any
current system numbers from the live API rather than this README — never cite a
hardcoded accuracy/precision figure or operator-level aggregate as a standing fact.
- API stats:
https://api.solsentry.app/v1/stats - NPM:
https://www.npmjs.com/package/@solsentry/mcp - GitHub org:
https://github.com/solsentry
Interfaces
| Surface | Use it when | Entry |
|---|---|---|
| MCP server | AI agents (Claude Desktop, Cursor, Claude Code, any MCP client) | npx @solsentry/mcp |
| TypeScript SDK | TS backends, bots, wallets, dApps that don't speak MCP | import { SolSentryClient } from "@solsentry/mcp/client" |
| Skills bundle | Claude Code / Cursor with the Agent Skills spec | npx skills add @solsentry/mcp |
All three call the public REST API at api.solsentry.app. No API key
required for read endpoints.
Numbers drift daily as predictions resolve — verify live: curl https://api.solsentry.app/v1/stats
What's in this repo
solsentry-mcp/
├── src/ ← TypeScript source (MCP server + SDK)
├── skills/
│ └── solsentry-postdeploy/ ← 1 skill, 6 references (progressive disclosure)
│ ├── SKILL.md orchestrator: when to load each reference
│ └── references/
│ ├── threat-intel.md · generic risk lookup
│ ├── counterparty.md · pre-CPI counterparty check
│ ├── monitor.md · post-deploy program monitoring
│ ├── forensics.md · post-incident drain trace
│ ├── token-launch.md · pre-launch readiness for your own token
│ └── cluster-graph.md · operator/bot network exploration
└── docs/ ← public reference docs
├── risk-scoring.md · scoring methodology + thresholds
├── flags.md · canonical flag glossary
├── openapi.yaml · machine-readable REST spec
└── x402-example.md · paid endpoint integration example
SolSentry monitors Solana mainnet continuously and tracks serial rug pull operators, bot clusters, and malicious token launches. The data is refreshed every 30 seconds and available to any client that speaks MCP or plain HTTP.
Quick start
npx -y @solsentry/mcp
Claude Desktop
{
"mcpServers": {
"solsentry": {
"command": "npx",
"args": ["-y", "@solsentry/mcp"]
}
}
}
Cursor / Claude Code
{
"mcpServers": {
"solsentry": {
"command": "npx",
"args": ["-y", "@solsentry/mcp"]
}
}
}
Tools
| Tool | Purpose |
|---|---|
check_operator |
Risk profile of a wallet as a token deployer |
check_token |
Risk profile of a token mint |
get_network_stats |
System-wide public metrics |
explain_risk |
Plain-language summary for a wallet or mint |
TypeScript SDK
import { SolSentryClient } from "@solsentry/mcp/client";
const client = new SolSentryClient();
const stats = await client.get("/v1/stats");
console.log(stats);
REST API
curl https://api.solsentry.app/v1/stats
curl https://api.solsentry.app/v1/operator/<wallet-address>
curl https://api.solsentry.app/v1/predictions/<mint-address>
Configuration
| Environment variable | Default | Purpose |
|---|---|---|
SOLSENTRY_API_URL |
https://api.solsentry.app |
API endpoint |
SOLSENTRY_API_KEY |
— | Bearer token for authenticated endpoints |
Notes
- Public quality claim: precision is auditable per-mint at
/v1/predictions/{mint}(live) — re-verify on the day; never ship a hardcoded precision number.
Requirements
- Node.js >= 18
License
MIT
Links + Contact
- Site: solsentry.app
- X (project): @solsentryai
- Telegram: t.me/solsentryai
- GitHub: github.com/solsentry
- Email:
[email protected] - Built by: Crash Diniz · @crashdiniz
Установить SolSentry в Claude Desktop, Claude Code, Cursor
unyly install solsentry-mcpСтавит в Claude Desktop, Claude Code, Cursor и VS Code — сам разбирается с npx, uvx и сборкой из исходников.
Впервые? Поставь CLI: curl -fsSL https://unyly.org/install | sh
Или настроить вручную
Выполни в терминале:
claude mcp add solsentry-mcp -- npx -y @solsentry/mcpПошаговые гайды: как установить SolSentry
FAQ
SolSentry MCP бесплатный?
Да, SolSentry MCP бесплатный — установка в пару кликов через Unyly без оплаты.
Нужен ли API-ключ для SolSentry?
Нет, SolSentry работает без API-ключей и переменных окружения.
SolSentry — hosted или self-hosted?
Доступен hosted-вариант: Unyly запускает сервер в облаке, локальная установка не обязательна.
Как установить SolSentry в Claude Desktop, Claude Code или Cursor?
Открой SolSentry на unyly.org, выбери вкладку своего клиента (Claude Desktop, Claude Code, Cursor) и нажми Install — конфиг сгенерируется автоматически, без правки JSON.
Изменения
Версии и запрашиваемые доступы со временем.
- Новая версия опубликована
- Новая версия опубликована
- Новая версия опубликована
- Новая версия опубликована
- Новая версия опубликована
Похожие MCP
Fetch
Web content fetching and conversion for efficient LLM usage.
Roblox Studio
Enables AI coding tools to control Roblox Studio for workspace exploration, instance manipulation, and script management. It provides tools for playtesting, sce
автор: paralovOpencode Omniroute Plugin
OpenCode plugin for the OmniRoute AI Gateway. Drives dynamic model discovery, /connect auth flow, and multi-instance OmniRoute providers via the official @openc
автор: GitHub ActionsAWS KB Retrieval
Retrieval from AWS Knowledge Base using Bedrock Agent Runtime.
автор: modelcontextprotocolSpring AI MCP Server
Provides auto-configuration for setting up an MCP server in Spring Boot applications.
llm-analysis-assistant
A very streamlined mcp client that supports calling and monitoring stdio/sse/streamableHttp, and can also view request responses through the /logs page. It also
автор: xuzexin-hzMCP-Agent
A simple, composable framework to build agents using Model Context Protocol by [LastMile AI](https://www.lastmileai.dev)
автор: lastmile-aiSpring AI MCP Client
Provides auto-configuration for MCP client functionality in Spring Boot applications.
mcp.natoma.ai
A Hosted MCP Platform to discover, install, manage and deploy MCP servers by [Natoma Labs](https://www.natoma.ai)
MCPHub
Website to list high quality MCP servers and reviews by real users. Also provide online chatbot for popular LLM models with MCP server support.
Compare SolSentry with
Не уверен что выбрать?
Найди свой стек за 60 секунд
Автор?
Embed-бейдж для README
Похожее
Все в категории ai
