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Enterprise Research Evidence Chain logo
Health: ActiveRecent health check succeeded.Last checked 9/7/2026, 10:44:51 PM

Enterprise Research Evidence Chain

User RatingsBe the first to rate and review this MCP server! Enrichment pendingWe haven’t run our AI enrichment pass on this listing yet, so the overview, use cases, and FAQ below may be sparse or missing. We work through the catalog over time — check back soon.
View Repository1 GitHub StarsTotal stargazers on GitHub for the source repository (1 stars).

Read-only enterprise research MCP: frameworks, frozen snapshots, sourced results. No trading advice.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent — or use 1-click editor setup below.

Add to CursorAdd to VS Code
Manual Client & Custom JSON ConfigExpand JSON ▾

Client Config & Setup

Choose your client or environment
Target File:~/Library/Application Support/Claude/claude_desktop_config.json
claude_desktop_config.json
{
  "mcpServers": {
    "enterprise-research-evidence-chain": {
      "command": "npx",
      "args": [
        "-y",
        "enterprise-research-evidence-chain"
      ]
    }
  }
}

💡 Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Install Directory Badge Claim listing Alternatives💻 More in Developer Tools

Documentation Overview

diyan-research-mcp · 企业研究证据链

面向企业投研与产业研究团队的只读研究 MCP,提供研究框架、冻结快照与历史因子摘要,每条结论附来源、数据截至日与证伪条件,不输出交易建议。

这个仓库里没有数据

本仓库只包含转发壳,职责是三件事:校验入参、携带租户凭据调用研究数据服务、在返回前剥掉交易类字段。研究框架、冻结快照、假设台账和因子摘要都存放在服务端,不随代码分发。

Code
AI 客户端  ──MCP──▶  diyan-research-mcp(本仓库)  ──HTTPS──▶  研究数据服务
                     入参校验 / 凭据转发 / 输出过滤        数据、租户、档位、配额、审计

这样分层有三个后果,都是有意为之:

  • 壳可以公开审阅,因为它不含任何专有数据,也不含任何密钥。
  • 租户身份、档位和配额一律由服务端裁定,壳不做信任判断,也就无法被绕过。
  • 输出过滤留在壳内而不是只放在服务端,即便服务端出错或被篡改,交易类表述也无法离开进程。

工具

工具说明
framework_excerpt读取研究框架片段,可选 enterprise / business / finance / people / brand
stock_snapshot_latest读取最新冻结的股票研究快照
hypothesis_get读取通过交付证据门槛的冻结假设
cognition_radar_read读取历史主题研究雷达摘要
ic_backtest_summary读取冻结的因子历史 IC 摘要
research_analyze_safe调用受控研究接口做单标的研判

工具是否可用取决于凭据对应的档位。免费档开放研究框架与部分冻结快照,其余返回 error_type: backend 并说明需要付费租户凭据。

配置

唯一必填项是 DIYAN_API_KEY,在 MCP 详情页填写即可。其余变量见 .env.example,只在自建部署或联调时需要。

凭据缺失时进程仍会正常启动,但每次工具调用都会返回明确的配置错误。这是刻意的:托管环境可能在使用者填写凭据之前就拉起进程,启动即崩溃会让详情页上的服务看起来是坏的。

本地运行

server.ts
python -m pip install -r requirements.txt
export PYTHONPATH=src
export DIYAN_API_KEY=<你的租户凭据>
export DIYAN_TRANSPORT=stdio
python -m diyan_research_mcp.server

测试不需要网络和凭据:

bash
python -m unittest discover -s tests -v

边界

  • 只读。没有任何写入、下单、部署或数据导出能力。
  • 不返回实时行情。快照与摘要都是冻结产物,每条结果都带 as_of。
  • 不生成买卖、仓位、股数、跟单或收益承诺。含此类表述的提问在发出请求前就会被拒绝。
  • 不读取使用者的本地文件、本地数据库或非必要环境变量。

服务端契约

如需自建后端,接口定义见 docs/BACKEND_CONTRACT.md。

许可与归属

由深圳瞳桦文化传媒有限公司开发与维护。MIT 许可,见 LICENSE。

Read the full README →View source on GitHub →

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Reviews

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Frequently Asked Questions about Enterprise Research Evidence Chain

Add the following block to your claude_desktop_config.json under mcpServers: "mcpServers": { "enterprise-research-evidence-chain": { "command": "npx", "args": ["-y", "Enterprise Research Evidence Chain"] } }

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Technical Specs & Signals

Category💻Developer Tools
More technical detailsExpand ▾
TransportSTDIO
RuntimeNode.js
Last updatedSep 7, 2026
Views0
Unique ViewsTotal visits recorded for this listing page on AllMCPs.
Installs0
Installs & Copy ActionsTotal times users copied install commands or configuration snippets for this server.
GitHub stars1
GitHub Star CountTotal stargazers on GitHub representing community popularity (1 stars).
31Quality signal: Emerging · 31/100How this signal is calculated ▾
Server availabilityNot measured

Not scored for repo-hosted servers — we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20
Documentation & tools12/30
Adoption & activity1/15
Community engagement0/10

A guidance signal from public completeness & health data — not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

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