Code Audit (Ollama)
by moikas-code
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What it does
Performs comprehensive code audits using local Ollama AI models to identify security vulnerabilities, performance issues, code quality problems, and architectural flaws across multiple programming languages.
About
Code Audit (Ollama) is a community-built MCP server published by moikas-code that provides AI assistants with tools and capabilities via the Model Context Protocol. Scan your website for viruses and vulnerabilities with Code Audit (Ollama). Get a comprehensive site scanner virus check It is categorized under auth security, developer tools.
How to install
You can install Code Audit (Ollama) in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.
License
MIT
Code Audit (Ollama) is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.
Readme
Frequently Asked Questions
- What is the Code Audit (Ollama) MCP server?
- Code Audit (Ollama) is a Model Context Protocol (MCP) server profile on explainx.ai. MCP lets AI hosts (e.g. Claude Desktop, Cursor) call tools and resources through a standard interface; this page summarizes categories, install hints, and community ratings.
- How do MCP servers relate to agent skills?
- Skills are reusable instruction packages (often SKILL.md); MCP servers expose live capabilities. Teams frequently combine both—skills for workflows, MCP for APIs and data. See explainx.ai/skills and explainx.ai/mcp-servers for parallel directories.
- How are reviews shown for Code Audit (Ollama)?
- This profile displays 64 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.5 out of 5—verify behavior in your own environment before production use.
Use Cases
Extended AI Capabilities
Add new capabilities to Claude beyond text generation
Example
Access external data sources, execute code, interact with tools and services
Transform Claude from chatbot to action-taking agent
Context Enhancement
Provide Claude with access to relevant context and data
Example
Load project documentation, access knowledge bases, query databases
Get more accurate, context-aware responses
Workflow Automation
Automate multi-step workflows combining AI and external tools
Example
Research → Summarize → Create document → Send notification
Complete complex tasks end-to-end without manual steps
Discussion
Comments — not star reviews- No comments yet — start the thread.
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Ratings
4.5★★★★★64 reviews- ★★★★★Shikha Mishra· Dec 24, 2024
Code Audit (Ollama) has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
- ★★★★★Evelyn Sharma· Dec 16, 2024
Useful MCP listing: Code Audit (Ollama) is the kind of server we cite when onboarding engineers to host + tool permissions.
- ★★★★★Mei Thomas· Dec 12, 2024
We evaluated Code Audit (Ollama) against two servers with overlapping tools; this profile had the clearer scope statement.
- ★★★★★Emma Nasser· Dec 4, 2024
I recommend Code Audit (Ollama) for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
- ★★★★★Zara Menon· Nov 23, 2024
We evaluated Code Audit (Ollama) against two servers with overlapping tools; this profile had the clearer scope statement.
- ★★★★★Yash Thakker· Nov 15, 2024
According to our notes, Code Audit (Ollama) benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
- ★★★★★Michael Sethi· Nov 7, 2024
Code Audit (Ollama) reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
- ★★★★★Yuki Okafor· Nov 3, 2024
I recommend Code Audit (Ollama) for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
- ★★★★★Yusuf Harris· Oct 26, 2024
I recommend Code Audit (Ollama) for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
- ★★★★★Yuki Brown· Oct 22, 2024
Code Audit (Ollama) reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
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