Google PageRank for AI agents. 25,000+ tools indexed.

finai-research MCP Server

csmar432/finai-research

Score: 75.3 → 0% Rank #3062 Agent Framework
[![AgentRank](https://agentrank-ai.com/api/v1/badge/csmar432--finai-research)](https://agentrank-ai.com/tool/csmar432--finai-research/?utm_source=badge&utm_medium=readme&utm_campaign=agentrank_badge)
Are you the maintainer of csmar432/finai-research? Claim this listing →

Evidence-first AI workflow for economic and financial research: literature → identification → data → econometrics → verifiable LaTeX. 43 data sources, 58 method modules, 18 AI skills, 30 journal templates.

Add AgentRank to Claude Code Discover and compare tools like csmar432/finai-research — your AI finds the right one automatically
Get API Access →
claude mcp add agentrank -- npx -y agentrank-mcp-server

Overview

csmar432/finai-research is a Python tool licensed under MIT. Evidence-first AI workflow for economic and financial research: literature → identification → data → econometrics → verifiable LaTeX. 43 data sources, 58 method modules, 18 AI skills, 30 journal templates. Topics: finance, academic-research, causal-inference, did, difference-in-differences, econometrics, empirical-research, latex, open-science, panel-data, python, research-workflow, ai-agents, economics, empirical-finance, llm, mcp, reproducible-research, research-automation.

Ranked #3062 out of 24846 indexed tools.

Ecosystem

Python MIT
financeacademic-researchcausal-inferencediddifference-in-differenceseconometricsempirical-researchlatexopen-sciencepanel-datapythonresearch-workflowai-agentseconomicsempirical-financellmmcpreproducible-researchresearch-automation

Score Breakdown

StarsFreshnessIssue HealthContributorsDependents
Stars 15% 110

110 stars → growing community

Freshness 25% 1mo ago

Last commit 1mo ago → recently updated

Issue Health 25% 50%

17/34 issues closed → decent issue management

Contributors 10% 6

6 contributors → small team

Dependents 25% 0

No dependents → no downstream usage

npm Downloads N/A
PyPI Downloads N/A
Forks 4
Description Detailed
License MIT

Weights: Freshness 20% · Issue Health 20% · Dependents 22% · Stars 10% · Contributors 8% · How we score →

How to Improve

Dependents medium impact

No downstream dependents detected yet — adoption by other projects is the strongest trust signal

Badge all embed codes →

AgentRank score for csmar432/finai-research
[![AgentRank](https://agentrank-ai.com/api/v1/badge/csmar432--finai-research)](https://agentrank-ai.com/tool/csmar432--finai-research/?utm_source=badge&utm_medium=readme&utm_campaign=agentrank_badge)
<a href="https://agentrank-ai.com/tool/csmar432--finai-research/?utm_source=badge&utm_medium=readme&utm_campaign=agentrank_badge"><img src="https://agentrank-ai.com/api/v1/badge/csmar432--finai-research" alt="AgentRank"></a>

Embed Widget docs →

Embed a rich score widget on your site or blog.

<script src="https://agentrank-ai.com/embed.js" data-tool="csmar432/finai-research"></script>

Matched Queries

topic:mcp

From the README

# 论文-研报工作流 · FinAI Research Workflow

<picture>
  <source media="(prefers-color-scheme: dark)" srcset="docs/assets/hero-dark.svg">
  <source media="(prefers-color-scheme: light)" srcset="docs/assets/hero-light.svg">
  
</picture>

> **研究主题一句话 → 收到可核验的 LaTeX 草稿。**
> **Describe your research topic → receive a verifiable LaTeX draft.**

---

## Quick Start (30 秒上手)

```bash
# ── 推荐方式:PyPI wheel 安装(首次约 60s)────────────────────────────
# Debian/Ubuntu:先创建虚拟环境,避免与系统 Python 冲突
python3 -m venv .venv && source .venv/bin/activate
pip install "finai-research-workflow[extras]"

# 配置 LLM(DeepSeek 直连,免费)
export DEEPSEEK_API_KEY=sk-xxxx

# 启动流水线(wheel 安装后的写作入口;加 --use-hitl 启用阶段门控)
finai-pipeline --topic "Carbon trading and green innovation" --use-hitl
# 或
python -m finai.pipeline --topic "碳排放权交易与企业绿色创新" --use-hitl

# ── 源码安装(推荐贡献者 / 想改代码的用户)────────────────────────────
git clone https://github.com/csmar432/finai-research.git && cd finai-research
pip install -e ".[extras]"
cp .env.example .env.local  
Read full README on GitHub →

Get the weekly AgentRank digest

Top movers, new tools, ecosystem insights — straight to your inbox.