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idea-reality-mcp

Connector Development Solid
Works inClaude Code Claude Cowork Claude Chat
Solid Scanned — metadata only

Prevents AI agents from generating redundant or architecturally misaligned code by validating ideas against existing solutions, libraries, and market precede…

Pre-build reality check for AI coding agents. Scans GitHub, HN, npm, PyPI, Product Hunt. MCP server. 290+ stars.

754 starsMIT (commercial OK)FreeNo code needed

Prevents AI agents from generating redundant or architecturally misaligned code by validating ideas against existing solutions, libraries, and market precedent before implementation begins.

Engineering teams using AI-assisted coding who need to enforce architectural consistency and avoid reinventing existing, proven solutions.

Claude Code Claude Cowork Claude Chat

https://github.com/mnemox-ai/idea-reality-mcp

By mnemox-ai

How to Get It

Option 1: Claude Desktop AppOpen the Customize panel in the sidebar → browse connectors → search and add. Works in Claude Code, Claude Cowork, and Claude Chat.
Option 2: Paste into Claude CodeCopy the command below and paste it into a Claude Code conversation. Claude will run it for you.
Command
claude mcp add idea-reality-mcp -- npx -y idea-reality-mcp

Tip: Paste this into a Claude Code conversation. Verify command matches your Claude Code version.

Auto-generated from the tool's public listing — not hands-on verified. Cross-check against the source repo's README before running.

First thing to try

Once it’s connected, paste this into Claude:

Check if my startup idea already exists on GitHub or Product Hunt
CostFree

Trust Signals Auto-scanned

Stars754Last updated2026-07-06LicenseMIT (OK for commercial use)Known CVEsNone foundSources: GitHub Advisory Database + OSV.dev · Scanned 2026-07-06 · scanner v1

Data & Access

Data processingPrompts sent to Anthropic API. Enterprise/Team plans exclude training.

Community Pulse Emerging

Discussed on Hacker News

3 mentions across 1 sources

Reviewer notes

Auto-scanned review. These are observations, not a security certification.

Scored from trust signals (evidence-eval-v1): 754 GitHub stars; contributors unknown; last commit 0d ago; license MIT.

Things to check

  • Scanned, not hands-on tested — this entry was auto-scanned from public metadata (GitHub metrics, license, security flags). No reviewer has run it, and no tool-specific limitations have been documented yet.

How to evaluate tools before deploying →

Data shown here comes from public APIs and automated scanning. Reviewer notes reflect one person's experience. This is not a security certification or legal recommendation. Always evaluate tools according to your own organization's policies.

Evaluation

Ease of Use
4/5
Versatility
4/5
Reliability
3/5
Security
3/5
Overall score3.60 / 5.00 SolidEvaluatedJul 2026
Scored from trust signals (evidence-eval-v1): 754 GitHub stars; contributors unknown; last commit 0d ago; license MIT.

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