finai-research — not yet audited

by csmar432 · MCP Server · ★ 100

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

About finai-research

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.

academic-researchai-agentscausal-inferencediddifference-in-differenceseconometricseconomicsempirical-financeempirical-researchfinance

Quick Facts

Stars100
Forks2
LanguagePython
CategoryMCP Server
LicenseMIT
Quality Score56.7413440058258/100
Open Issues4
Last Updated2026-09-16
Created2026-06-15
Platformsmcp, python
Est. Tokens~13k

Compatible Skills

These tools work well together with finai-research for enhanced workflows:

  • paperreading — semantic(0.46)+complementary+rare_topics+same_lang+similar_pop+shared_platform (80%)
  • Auto-Research-Skills — semantic(0.41)+complementary+rare_topics+same_lang+similar_pop+shared_platform (78%)
  • BITE — semantic(0.36)+complementary+rare_topics+same_lang+similar_pop+shared_platform (72%)
  • stata-cli — semantic(0.23)+complementary+rare_topics+same_lang+similar_pop+shared_platform (72%)

finai-research alternative? Top 6 similar tools

Looking for a finai-research alternative? If you're comparing finai-research with other mcp server tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.

  • StatsPAI by brycewang-stanford · ⭐ 320

    StatsPAI is the first Agent-native Python library for causal inference and applied econometrics — unified API,

  • Auto-Research-Skills by brycewang-stanford · ⭐ 157

    A curated hub of autonomous-research skills & agents — from idea to paper, on autopilot. | 自主科研技能与智能体精选库 —— 从灵

  • paperreading by AOROM · ⭐ 110

    Evidence-grounded AI research workflow for traceable claims, explicit uncertainty, causal-language checks, and

  • mcp-for-stata by SepineTam · ⭐ 260

    A MCP server for integrating Stata into your agent loop with a safety-first design.

  • De-Anthropocentric-Research-Engine by Pthahnix · ⭐ 229

    De-Anthropocentric Research Engine — AI-powered academic research automation with deep literature survey, gap

  • stata-mcp by SepineTam · ⭐ 171

    Let LLM help you achieve your regression with Stata. Evolve from reg monkey to causal thinker.

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Frequently Asked Questions

What is finai-research?

finai-research is 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 templ. It is categorized as a MCP Server with 100 GitHub stars.

What programming language is finai-research written in?

finai-research is primarily written in Python. It covers topics such as academic-research, ai-agents, causal-inference.

How do I install or use finai-research?

You can find installation instructions and usage details in the finai-research GitHub repository at github.com/csmar432/finai-research. The project has 100 stars and 2 forks, indicating an active community.

What license does finai-research use?

finai-research is released under the MIT license, making it free to use and modify according to the license terms.

What are the best alternatives to finai-research?

The top alternatives to finai-research on Agent Skills Hub include StatsPAI, Auto-Research-Skills, paperreading. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.

How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

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