Lian Chain Intelligence MCP Server
by erxianzhuangzuio.github.erxianzhuangzu/lian-chain-intelligencev1.2.0
Query tech-industry-market chain transmission and entity status.
context tax
~1,793 tok/turn15 tools
security
92/100
cold start
hosted
freshness
Active8d ago
Our reading of Lian Chain Intelligence, from the data
Lian Chain Intelligence is an MCP server from erxianzhuangzu, listed in the official MCP Registry.
Its 15 tools add about 1,793 tokens to every model turn (measured 2026-10-19).
Maintenance is active: the last public signal was 8 days ago (2026-10-11).
It runs as a hosted endpoint, so there is nothing to install.
Install Lian Chain Intelligence MCP server
Install in Claude Code
claude mcp add --transport http lian-chain-intelligence https://lian.yisuncloud.com/mcpInstall in Cursor
{
"mcpServers": {
"lian-chain-intelligence": {
"url": "https://lian.yisuncloud.com/mcp"
}
}
}Install in Claude Desktop
{
"mcpServers": {
"lian-chain-intelligence": {
"command": "npx",
"args": [
"-y",
"mcp-remote",
"https://lian.yisuncloud.com/mcp"
]
}
}
}Or add it as a custom connector under Settings → Connectors. The config above bridges via mcp-remote.
Install in VS Code
{
"servers": {
"lian-chain-intelligence": {
"type": "http",
"url": "https://lian.yisuncloud.com/mcp"
}
}
}Install in Windsurf
{
"mcpServers": {
"lian-chain-intelligence": {
"serverUrl": "https://lian.yisuncloud.com/mcp"
}
}
}Remote endpoints
- streamable-http
https://lian.yisuncloud.com/mcp
Context tax
Connecting this server adds ~1,793 tokens of tool definitions to every model turn (moderate, 15 tools). Measured 2026-10-19 via its hosted endpoint; o200k tokenizer, worst case for clients that load all tools up front. How we measure
| Model | Per 1,000 turns | With prompt caching |
|---|---|---|
| Claude Opus 5.5 | $7.17 | $0.359 |
| Claude Sonnet 5.5 | $3.59 | $0.359 |
| Claude Haiku 5.5 | $0.179 | — |
Input prices as of 2026-10-06. Excludes your own prompt and output.
Tools (15)
intel_brief158 tok[v1.5.1] 规则模板拼的缺口组合:落地、商业化、技术,以及链主、跨境,哪几条在。不是大模型。Template of which gap combination is present. Not an LLM.
intel_signal152 tok[v1.5.1] 规则缺口(≈list_signals):落地、商业化、技术,另有链主倒逼无点名承接、海外有卖国内供给空。Rule gaps: landing, commercialization, tech, plus chain-master with no named receiver, and overseas sales with empty China supply.
intel_heal149 tok[v1.5.1] 和本站上次快照比,缺口类型这次没了、还在、或新出现(healed / persistent / new)。会写下这次快照。Compare gap types with this site's last snapshot: gone, still here, or new. Writes this snapshot.
intel_demand145 tok[v1.5.1] 需求倒逼(品类匿名 signals/chains)。list=1 列实体;或传 entity/slug。公开前 3 条 signal、无 chains。Demand-pull. list=1 or entity. Public: 3 signals, no chains.
intel_chain_master121 tok[v1.5.1] 已发布的链主倒逼。承接方不是定点供应商。公开/免费档不给来源 URL。Published chain-master push. Public/free tiers hide source URLs.
intel_availability113 tok[v1.5.1] 先查:available_now、coverage、requires_trigger。建议再调 chain/signal/brief。Check coverage status first: available_now, coverage, requires_trigger. Then chain/signal/brief.
intel_tech_launch108 tok[v1.5.1] 技术启动(开放许可/转化动作),与 /tech-launch 同裁。公开/免费前 2 条且无来源 URL。Tech launch signals. Public/free: top 2, no source URLs.
intel_chain103 tok[v1.5.1] 全链:timeline、delta_days、vs_prior(≈get_chain)。需 Key。Full chain: timeline, delta_days, vs_prior. Requires key.
intel_category100 tok[v1.5.1] 品类全包(肥)。优先用原子工具降 token:intel_category_opportunity / _supply / _demand_pull / _migration。Full category pack. Prefer atomic siblings to cut tokens.
intel_global_race99 tok[v1.5.1] 全球竞争对位(国内粗码×国外粗码×阶段差),与 /global-race 同裁。公开/免费前 2 条且无来源 URL。Global race matrix. Public/free: top 2, no source URLs.
intel_category_migration97 tok[v1.5.1] L-153a 原子:技术迁移层。非壁垒仅标题示意/锁定;全量需壁垒。Atomic: tech_migration. Non-pro: teaser/locked only.
intel_tech_daily96 tok[v1.5.1] 技术日报词矩阵,与 /tech-daily 同一批行。公开/免费只亮前 2 条,壁垒全表。Tech-word heat matrix. Public/free: top 2; pro: full.
intel_category_opportunity94 tok[v1.5.1] L-153a 原子:只出品类机会面(海外/价差/切入点等),已按档裁剪。Atomic: opportunity slice only.
intel_category_supply86 tok[v1.5.1] L-153a 原子:只出品类供给(整机/零部件示意),已按档裁剪。Atomic: supply slice only.
intel_category_demand_pull82 tok[v1.5.1] L-153a 原子:只出需求倒逼段(signals/chains),公开无 chains。Atomic: demand_pull slice only.
Security signals
92/100 — no known issues found as of 2026-10-19, from the checks below. This is not a guarantee of safety; review what a server can do before connecting it.
Deductions
- No license detected-5
- No security policy (SECURITY.md)-3
Checks
- ✓Repository hygiene (archived, activity, license, security policy)
- ✓Tool descriptions (prompt-injection and hidden-text heuristics)
- ○Package metadata (install scripts, provenance) — pending
- ○Source scan (secrets, CVEs, risky code) by vectra-guard — pending
Scan it yourself before installing with vectra-guard, the open-source agent security CLI. Scoring rules
Freshness
Active — last maintenance signal 8d ago. The newest of the signals below sets the band.
Last commit (default branch)
2026-10-11 · 8d ago · GitHub
Latest release
no data · GitHub
Package published
no data · npm/PyPI
Registry entry updated
2026-10-11 · 8d ago · official registry · v1.2.0
FAQ
›How do I install the Lian Chain Intelligence MCP server in Claude Code?
Run: claude mcp add --transport http lian-chain-intelligence https://lian.yisuncloud.com/mcp. For Cursor, VS Code, Claude Desktop and Windsurf, use the install tabs above.
›Does Lian Chain Intelligence require an API key?
No required environment variables are declared in its published metadata.
›Can I use Lian Chain Intelligence as a remote (hosted) MCP server?
Yes. It is a hosted MCP server; connect to its URL with any client that supports remote MCP.
›Is Lian Chain Intelligence in the official MCP registry?
Yes, as io.github.erxianzhuangzu/lian-chain-intelligence.
›How many tokens does Lian Chain Intelligence add to my context?
Its tool definitions total about 1,793 tokens, resent on every turn.
Sources and method
- Official MCP Registry entry
- updated 2026-10-11
- GitHub repository
- fetched 2026-10-19
- Tool list (tools/list), measured by us
- 2026-10-19
- Security signals, computed by us
- 2026-10-19
- Last checked against all sources
- 2026-10-19
The description, packages and links come from the maintainer's own published metadata. Token cost, security signals, freshness and the reading above are MCPSkillHub's own measurements; see the methodology. Spot an error? Request a correction or claim the listing.