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CausalAgent MCP Server

ArcheCausal/CausalAgent

Score: 82.5 → 0% Rank #1399 Search & RAG
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这是一个由LangGraph协议主导的因果分析Muti-Agent,结合MCP,RAG等多种工具进行辅助进行因果分析,提供给用户一份完善的因果分析的分析报告和因果图

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Overview

ArcheCausal/CausalAgent is a Python tool. 这是一个由LangGraph协议主导的因果分析Muti-Agent,结合MCP,RAG等多种工具进行辅助进行因果分析,提供给用户一份完善的因果分析的分析报告和因果图

Ranked #1399 out of 24846 indexed tools.

In the top 6% of all indexed tools.

Ecosystem

Python NOASSERTION

Score Breakdown

StarsFreshnessIssue HealthContributorsDependents
Stars 15% 33

33 stars → early stage

Freshness 25% 11d ago

Last commit 11d ago → recently updated

Issue Health 25% 100%

7/7 issues closed → responsive maintainer

Contributors 10% 6

6 contributors → small team

Dependents 25% 0

No dependents → no downstream usage

npm Downloads N/A
PyPI Downloads N/A
Forks 7
Description Good
License NOASSERTION

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

How to Improve

Description low impact

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License low impact

Add an MIT or Apache-2.0 license to signal trust and enable adoption

Dependents medium impact

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

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AgentRank score for ArcheCausal/CausalAgent
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Matched Queries

topic:mcp

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