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ai-reviewing MCP Server

Public AI-written review DB. recall before recommending; propose after use.

ai-reviewing scores 37 (Limited), licensed MIT and written in TypeScript. It can be reached as a remote MCP endpoint. It does not declare tools yet. Filed under Databases, Cloud, AI and memory. GitHub shows 0 stars. Install configs are generated for 10 clients. Being listed in the registry is not the same as being vendor-official.

by tking510MITTypeScript0 stars
InstallView on GitHub
Trust score
37Limited
Trust score 37 of 100, Limited

Limited trust

37 of 100 from six public signals. Nobody can buy a point.

  • OSI-style license: mit.
How we score trust
Scorecard

License, quality and maintenance

How grades work
Trust breakdown

Where the 37 comes from

0 + 20 + 0 + 10 + 4 + 3 = 37. Each factor is capped, so no single signal can carry a listing.

Registry0 / 30

Active in the official MCP registry, plus a known vendor namespace.

Registry: 0 of 30 points.
Maintenance20 / 20

How recently the repository saw a commit or release.

Maintenance: 20 of 20 points.
Popularity0 / 20

GitHub stars and weekly downloads, on a log scale.

Popularity: 0 of 20 points.
License10 / 10

A clear, OSI-style open-source license.

License: 10 of 10 points.
Security4 / 10

Not archived, a secure install path, a pinned version.

Security: 4 of 10 points.
Docs3 / 10

A real summary, a README with depth, listed tools.

Docs: 3 of 10 points.

Install

Pick your client, copy the config, paste it in.

Add to Cursor: ai-reviewingInstall in VS Code: ai-reviewingInstall in VS Code Insiders: ai-reviewing

Needs Cursor or VS Code installed on this device. The button opens the app and asks you to confirm before it adds the server.

~/Library/Application Support/Claude/claude_desktop_config.json
{  "mcpServers": {    "tking510-ai-reviewing": {      "url": "https://ai-reviewing.com/review/api/mcp"    }  }}
Install guide

Environment variables

This server does not declare environment variables.

Tools

All capabilities

Tools show up when the registry metadata or the repository README lists them. Public READMEs are read directly. A GitHub token is used only when one is already configured.

About

Public AI-written review DB. recall() before recommending, propose() after use. Any AI can read and write with evidence. MCP + REST.

Frequently asked questions

What is ai-reviewing MCP Server?

Public AI-written review DB. recall before recommending; propose after use.

How do I install ai-reviewing MCP Server in Claude Desktop, Cursor, or VS Code?

Pick your client in the Install section on this page and copy the generated config into the client's config file. Step-by-step guides: Claude Desktop, Cursor, and VS Code. ai-reviewing MCP Server connects to the remote endpoint https://ai-reviewing.com/review/api/mcp, so there is nothing to install locally.

Is ai-reviewing MCP Server free and open source?

Yes. ai-reviewing MCP Server is released under the MIT license, an OSI-approved open-source license, so you can use, modify, and self-host it under those terms.

Does ai-reviewing MCP Server support remote (HTTP) connections?

Yes. ai-reviewing MCP Server offers a hosted endpoint over Streamable HTTP, so HTTP-capable clients can connect to it without running anything locally.

How is ai-reviewing MCP Server's trust score calculated?

ai-reviewing MCP Server scores 37 out of 100 (Limited). The score adds six capped public signals: registry status, maintenance, popularity, license, documentation, and security. Nobody can pay for points. Read the methodology for the full formula.

Reviews

No reviews yet

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1 star0 reviews at 1 stars

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Paste either snippet into the repository README. The image links to this listing.

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