intel-mcp
three.ws market intelligence from any AI agent — smart-money scoring, wallet intel, signal feeds, KOL leaderboards/trades, and the copy-trade Smart Money directory. Read-only over the live public API. No key, no signer, no payment.
Install / Use
claude mcp add nirholas -- npx -y github:nirholas/intel-mcpIf the server publishes to npm under a different name, use that package instead — check the repo README.
MCP Server
Model Context Protocol server
Quality Score
Category
AI & Machine LearningSupported Platforms
Our assessment of intel-mcp
intel-mcp scores 83/100 on our quality scale, 651st of 960 AI & Machine Learning skills we index.
Its MCP Server is 9.0 KB long, well organised into 14 sections with 7 code examples: a thorough specification that gives an agent plenty to work with.
It has 10 GitHub stars, so there is little community track record yet; judge it on its content.
Maintenance, license and trust
- The repository was last updated 10 days ago, so intel-mcp is actively maintained.
- It is released under the Apache-2.0 license, a permissive license that allows use, modification and commercial use with attribution.
- Its trust signals score 97/100, with no cautions. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.
intel-mcp compared with similar skills
All 4 of these similar skills score higher than intel-mcp; compare them before choosing.
| Skill | Score | Stars | Updated | Format |
|---|---|---|---|---|
| intel-mcp (this skill)by nirholas | 83 | 10 | 10d ago | MCP Server |
| claude-memby thedotmack | 100 | 102.1k | today | CLAUDE.md |
| Agent-Reachby Panniantong | 100 | 100.5k | 1d ago | CLAUDE.md |
| Understand-Anythingby Egonex-AI | 100 | 87.4k | today | CLAUDE.md |
| headroomby headroomlabs-ai | 100 | 77.0k | today | CLAUDE.md |
Frequently asked questions
- How do I install intel-mcp?
- Run
claude mcp add nirholas -- npx -y github:nirholas/intel-mcp. The install tabs above show the steps for each supported agent. - Which AI agents does intel-mcp work with?
- It is written for Claude Code and Claude Desktop, as a MCP Server file. Other agents that read the same format can often use it too.
- Is intel-mcp safe to use?
- It is Apache-2.0-licensed and scores 97/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
- Is intel-mcp still maintained?
- The repository was last updated 10 days ago, so intel-mcp is actively maintained.
Skill content
View source on GitHubA Model Context Protocol server that gives any AI assistant the three.ws market-intelligence surface over stdio. Judge a coin by who is buying it, pull a wallet's realized reputation, read a signal feed's proven accuracy, rank KOL traders, and browse the copy-trade Smart Money directory — all live, read-only, no key required.
Every score, signal, and ranking comes straight from the public three.ws API. No API key, no signer, no payment — point THREE_WS_BASE at a deployment and go.
Install
npm install @three-ws/intel-mcp
Or run with npx (no install):
npx @three-ws/intel-mcp
Quick start
Claude Code, one line:
claude mcp add intel -- npx -y @three-ws/intel-mcp
Claude Desktop / Cursor (claude_desktop_config.json or mcp.json):
{
"mcpServers": {
"intel": {
"command": "npx",
"args": ["-y", "@three-ws/intel-mcp"]
}
}
}
Inspect the surface with the MCP Inspector:
npx -y @modelcontextprotocol/inspector npx @three-ws/intel-mcp
Tools
| Tool | Type | What it does |
| -------------------- | --------- | ------------------------------------------------------------------------------------------------------------ |
| smart_money_coin | read-only | Score a coin by WHO is net-buying it — 0–100 smart-money score, reputable buyers, funder clusters, sybil flag. |
| wallet_intel | read-only | One wallet's realized reputation: score, win rate, behavioral labels, and its funder cluster. |
| signal_feed | read-only | A signal feed's proven accuracy (hit-rate, realized/follower ROI) and recent emissions with on-chain proof. |
| kol_leaderboard | read-only | Rank tracked KOL traders by realized P&L over a 7d / 30d window. |
| kol_trades | read-only | Recent KOL trades on a specific mint, across the tracked KOL set. |
| copy_smart_wallets | read-only | Browse the ranked copy-trade Smart Money directory — filter by chain, category, and sort. |
All six tools read live data: scores, feeds, and rankings move between calls, so none are idempotent.
Input parameters
smart_money_coin — mint (required), network (mainnet | devnet, default mainnet).
wallet_intel — wallet (required), network (mainnet | devnet, default mainnet).
signal_feed — slug (required), network (mainnet | devnet, default mainnet).
kol_leaderboard — window (7d | 30d, default 7d), limit (1–100, default 25).
kol_trades — mint (required), limit (1–100, default 20).
copy_smart_wallets — chain (sol | bsc), category (smart_money | launchpad | kol | sniper), sort (profit | pnl | winrate | followers | score, default score), q (text), limit (1–100, default 30), offset (default 0).
Example
// copy_smart_wallets
> { "chain": "sol", "sort": "winrate", "limit": 3 }
{
"ok": true,
"count": 3,
"total": 412,
"offset": 0,
"limit": 3,
"has_more": true,
"facets": { "byChain": { "sol": 300, "bsc": 112 }, "byCategory": { "smart_money": 180, "kol": 90 } },
"wallets": [
{ "address": "…", "chain": "sol", "categories": ["smart_money"], "score": 94, "win_rate_30d": 0.71, "realized_profit_30d_usd": 182000, "follow_count": 1240 }
]
}
// smart_money_coin
> { "mint": "FeMbDoX7R1Psc4GEcvJdsbNbZA3bfztcyDCatJVJpump" }
{
"ok": true,
"mint": "FeMbDoX7R1Psc4GEcvJdsbNbZA3bfztcyDCatJVJpump",
"network": "mainnet",
"computed": true,
"smart_money_score": 78,
"reputable_buyers": 12,
"sybil_flag": false,
"sybil_share": 0.18,
"wallets": [ /* reputable buyers with realized_score, win_rate, labels */ ],
"clusters": [ /* funder clusters in the book */ ]
}
computed: false on a coin or wallet means the smart-money graph has no on-chain history for it yet — that's an honest "not enough data", not a failure.
Requirements
- Node.js >= 20.
- Network access to
https://three.ws(or your ownTHREE_WS_BASE).
Environment variables
| Variable | Required | Default |
| --------------------- | -------- | ------------------ |
| THREE_WS_BASE | no | https://three.ws |
| THREE_WS_TIMEOUT_MS | no | 20000 |
Links
- Homepage: https://three.ws
- Changelog: https://three.ws/changelog
- Issues: https://github.com/nirholas/three.ws/issues
- License: Apache-2.0, see LICENSE
<p align="center"> <sub> Part of the <a href="https://three.ws">three.ws</a> SDK suite — 3D AI agents, on-chain identity, and agent payments.<br/> <a href="https://three.ws">Website</a> · <a href="https://three.ws/changelog">Changelog</a> · <a href="https://github.com/nirholas/three.ws">GitHub</a> </sub> </p> <!-- three.ws:growth -->
Support the project
If intel-mcp saves you time, star it on GitHub. Stars are how other developers and AI agents find the repositories worth trusting, and they cost you one click.
Know someone who would use it? Post on X · Share on Bluesky · Share on LinkedIn · Submit to Hacker News · Share on Reddit
Built for AI agents too
Coding agents and LLM tooling can read this repo directly: AGENTS.md, llms.txt, llms-full.txt. Point an agent at https://github.com/nirholas/intel-mcp and it has the context it needs.
More from the same author
- All repositories by nirholas: the full catalog, grouped by topic
- three.ws: the platform for 3D AI agents with Solana wallets, a skill marketplace and x402 payments
- Questions or ideas: open an issue or start a discussion
Contributors
Star history
<!-- /three.ws:growth --> <!-- three.ws:ecosystem -->Part of three.ws
three.ws is a platform for 3D AI agents with Solana wallets: avatars, a skill marketplace, x402 payments and more than seventy MCP servers. @three-ws/intel-mcp is one package from it.
- Documentation site: https://nirholas.github.io/intel-mcp/
- npm: https://www.npmjs.com/package/@three-ws/intel-mcp
- Canonical source: https://github.com/nirholas/three.ws (this repository is a generated mirror of
packages/intel-mcp) - Agent-readable summary: llms.txt and AGENTS.md
- Issues and ideas: https://github.com/nirholas/intel-mcp/issues
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Trust signals
From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.
