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  1. Home
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  3. Arthor Agent
Arthor Agent logo
Health: ActiveRecent health check succeeded.Last checked 9/11/2026, 8:04:51 PM

Arthor Agent

User RatingsBe the first to rate and review this MCP server!
View Repository87 GitHub StarsTotal stargazers on GitHub for the source repository (87 stars).Visit Website
securityssd lcragcompliancemcp

Assesses security documents and reports across the SSDLC, producing risks, compliance gaps, and remediation guidance.

Quick Install

Automated & IDE Setup

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

Add to CursorAdd to VS Code
Manual Client & Custom JSON ConfigExpand JSON β–Ύ

Client Config & Setup

Remote HTTP
Choose your client or environment
Target File:~/Library/Application Support/Claude/claude_desktop_config.json
claude_desktop_config.json
{
  "mcpServers": {
    "arthurpanhku-arthor-agent": {
      "url": "https://api.deepseek.com"
    }
  }
}

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

Install Directory Badge Claim listing Alternatives🧠 More in Knowledge & Memory

Overview

arthurpanhku/Arthor-Agent MCP server exposes DocSentinel’s security assessment workflow to MCP-compatible agent clients. It parses PDF, Word, Excel, PowerPoint, and text inputs, compares them with policy and compliance knowledge, and returns structured findings covering risks, gaps, and remediations. The underlying platform uses LangGraph and LangChain, supports several hosted and local LLM providers, and can also be accessed through REST and A2A interfaces. Reach for it when you need document-based cybersecurity reviews across requirements, design, development, testing, deployment, or operations.

Use cases

β€’Review security requirements against organizational policies
β€’Analyze SAST or DAST reports and prioritize findings
β€’Assess architecture documents for threat-model concerns
β€’Generate remediation guidance for compliance gaps

Key features

β€’Multi-format document parsing
β€’RAG-backed policy and compliance assessment
β€’SSDLC stage-specific security reviews
β€’Structured risk and remediation reports
β€’MCP, REST, and A2A access paths
β€’Human review workflow

Capabilities & Tool Schemas

Inspect callable tools, capabilities, and parameters exposed to AI agents by Arthor Agent.

Extracted Tool Capabilities
Multi-format document parsing
RAG-backed policy and compliance assessment
SSDLC stage-specific security reviews
Structured risk and remediation reports
MCP, REST, and A2A access paths
Human review workflow

How Arthor Agent works

What arthurpanhku/Arthor-Agent MCP server does

arthurpanhku/Arthor-Agent MCP server is presented in the repository as the MCP and agent gateway for DocSentinel, an AI-assisted secure software development lifecycle platform. It is intended for security teams and agent workflows that need to review security-related documents, questionnaires, forms, and reports.

Assessments span six lifecycle areas: requirements, design, development, testing, deployment, and operations. Depending on the selected stage and skill, the platform can extract security requirements, identify compliance obligations, review architecture, generate threat-model material, assess secure coding concerns, triage SAST or DAST findings, examine deployment configuration, and assist with vulnerability or incident-related reviews.

The result is a structured assessment rather than an unstructured chat response. Reports can include risk items, compliance gaps, and recommended remediation, with JSON and Markdown described as supported output formats.

How it works

The repository describes a React console and FastAPI service behind three access paths: REST APIs, MCP tools, and A2A JSON-RPC. MCP clients connect through the agent gateway, while the assessment logic is shared with console and CI-oriented REST access. The gateway does not grant external agents approval authority; human review remains part of the workflow.

Uploaded material is parsed into a common representation. Supported input types include PDF, Word, Excel, PowerPoint, and plain text. A knowledge base can contain policies, standards, and other reference documents. Retrieval-augmented generation uses that material during assessment so findings can be evaluated against organizational guidance and compliance references.

LangGraph orchestrates stateful assessment flows with stage-specific branching, and LangChain provides the model integration layer. The documented provider choices include OpenAI, Anthropic Claude, Qwen, DeepSeek, and local Ollama deployments. The available provider set may depend on the surrounding DocSentinel configuration.

Tools and capabilities

arthurpanhku/Arthor-Agent MCP server is suitable for agent-driven access to workflows that include:

  • Reviewing security documents and assessment submissions.
  • Comparing material with policy and compliance references in a RAG knowledge base.
  • Producing risk, gap, and remediation findings.
  • Supporting SSDLC-specific reviews from requirements through operations.
  • Exposing governed MCP tools alongside REST and A2A entry points.
  • Sending work through a human-review lifecycle before approval decisions.

The broader platform also describes governance functions such as projects, framework overlays, controls, evidence submissions, audit trails, and readiness scoring. The excerpt does not provide a complete MCP tool list or individual tool schemas, so those capabilities should not be assumed to map one-to-one to callable MCP methods.

Limitations and notes

The repository material identifies the product as DocSentinel even though the listed repository name is arthurpanhku/Arthor-Agent. Confirm the package, entry point, and current deployment instructions in the repository before automating installation.

No exact installation command, package name, MCP client configuration, environment-variable list, or authentication setup is included in the supplied material. Provider credentials may be entered locally and shown as masked previews, but the excerpt does not establish which credentials are mandatory for every deployment.

Generated assessments are not a substitute for security approval. The repository explicitly describes human review as required and says external agents do not receive approval authority. Findings also depend on the supplied documents, selected SSDLC phase or skill, available policy knowledge, and configured language model.

Read the full README β†’View source on GitHub β†’

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Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks β€” not a rating.

GitHub stars
87
Stargazers on the source repository.
Last commit
1mo ago
Most recent push to the default branch.
Directory activity
3 views
Config copies, upvotes, and views on AllMCPs.

Reviews

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Frequently Asked Questions about Arthor Agent

The supplied repository material does not include an exact installation command or package name, so installation details cannot be confirmed from this listing.

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Technical Specs & Signals

Category🧠Knowledge & Memory
PricingFree
More technical detailsExpand β–Ύ
TransportSSE (Remote)
AuthAPI key
LicenseMIT
ClientsWindsurf
Last updatedSep 7, 2026
Views3
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 stars87
GitHub Star CountTotal stargazers on GitHub representing community popularity (87 stars).
Last commit1mo ago
Last Repository CommitThe most recent commit or push recorded for this server's GitHub repository.Last commit on Jul 24, 2026
53Quality signal: Good Β· 53/100How this signal is calculated β–Ύ
Server availabilityNot measured

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

Verified ownership10/20
Documentation & tools24/30
Adoption & activity6/15
Community engagement0/10

A guidance signal from public completeness & health data β€” 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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