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Mercury Spec Ops MCP server

by n0zer0d4y·io.github.n0zer0d4y/mercury-spec-ops·v0.1.2·4 stars
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Modular MCP server for dynamic prompt generation and software development analysis tools

C68/100grade C
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Safety scan
C68/100

full report

Adoption
New

4 stars38 downloads/wk

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Mercury Spec Ops tools (6)

write = sends, deletes, buys or posts

Read from the package source without running it. The installed server may list more.

  • generate_bug_analysis_prompt

    Generate an assembled bug analysis prompt with specified technology stacks and severity level

  • generate_codebase_analysis_prompt

    Generate an assembled codebase analysis prompt with specified technology stacks and analysis focus areas

  • generate_prd_prompt

    Generate an assembled Product Requirements Document prompt with specified technology stacks and analysis focus areas

  • get_bug_analysis_template

    Fetch a comprehensive bug analysis markdown template with all standard sections (8 sections total)

  • get_codebase_analysis_template

    Fetch a comprehensive codebase analysis markdown template with all standard sections (12 sections total)

  • get_prd_template

    Fetch a comprehensive Product Requirements Document markdown template with all standard sections (14 sections total)

Public scan report

scanner v0.1.10 · 2026-10-01 · same rubric, same numbers if you re-run it

1 medium
  • Code scan77 source files scanned20/25
  • –Live reliabilityno gateway calls yet and no remote to proben/a
  • –Tool poisoningtools not inspected (local package is not executed); not countedn/a
  • Auth qualitylocal package, no credentials required12/15
  • Maintenancelast push 278 days ago4/15
  • Maintainer identityregistry namespace matches repository owner; GitHub account older than a year8/10

Findings (1)

  • mediumeval / new Function usedexec.eval
    dist/src/prompts/modules/technology/languages/javascript.js: …view for XSS vulnerabilities - Analyze eval() and Function() usage - Check for prop…
Overall 68/100. Components that don't apply are left out of the denominator. Any critical finding is an F.RubricAppeal a findingJSON

How Mercury Spec Ops compares

Against every graded AI and agents MCP server, from our own scans and uptime checks. Updated after each scan run.

Safety score
68/100
higher than 33% of 4,460 AI and agents servers
Tools
6
the typical AI and agents server has 6
Tools that change things
0%
typical: 0%. Fewer write tools means less an agent can break
GitHub stars
4
more than 77% of 2,711 AI and agents servers
Downloads a week
38
more than 30% of 1,538 AI and agents servers with a package

What its tools let an agent do: 3 read · 3 create

Install Mercury Spec Ops in Claude Code, Cursor or VS Code

Runs npx -y @n0zer0d4y/mercury-spec-ops on your machine. Read the scan report first; the gateway never runs local packages.

claude mcp add mercury-spec-ops -- npx -y @n0zer0d4y/mercury-spec-ops
Add to Cursor

What the publisher says

From the Mercury Spec Ops repository's README, as published. We do not edit it. Read it on GitHub

Mercury Spec Ops MCP Server: Prompts and Resources as Tools

The first MCP server to expose dynamic, AI-invocable tools for prompt generation and template assembly.

Transform how AI assistants interact with specialized content. Instead of static prompts and resources, Mercury Spec Ops provides 6 programmable tools that enable AI to dynamically generate technology-specific prompts and comprehensive templates on-demand. Built on a sophisticated modular architecture with 31 technology stacks, 10 analysis dimensions, and 34 template sections—all accessible through simple tool calls.

Features

This MCP server provides a modular, extensible architecture with:

Prompts (Enhanced with Enum Support)

  1. PRD Prompt - Generate Product Requirements Document with modular technology-specific analysis
  2. Codebase Analysis Prompt - Analyze codebases with modular technology/focus-specific analysis
  3. Bug Analysis Prompt - Analyze bugs with modular severity/technology-specific analysis

Resources (Modular Templates)

  1. PRD Template - Modular PRD template with technology-specific sections
  2. Codebase Analysis Template - Modular codebase analysis template with technology/focus-specific sections
  3. Bug Analysis Template - Modular bug analysis template with severity/technology-specific sections

Key Capabilities

Enum-Based Input Validation

  • Technology Stack (31 total):
  • Languages (11): JavaScript, TypeScript, Python, Java, Go, Rust, C#, PHP, Ruby, Swift, Kotlin
  • Runtimes (1): Node.js
  • Frontend (3): React, Angular, Vue
  • Backend (7): Express, NestJS, Django, Flask, Spring, Laravel, Rails
  • Databases (4): MongoDB, PostgreSQL, MySQL, Redis
  • Cloud (3): AWS, Azure, GCP
  • DevOps (2): Docker, Kubernetes
  • Analysis Focus (10 total): architecture, security, performance, testing, documentation, maintainability, scalability, reliability, code-quality, dependencies
  • Bug Severity (4 total): low, medium, high, critical
  • Target Audience: developers, business-users, enterprise, startup, healthcare, finance, and more

Programmatic Prompt Assembly

  • Base prompts + 31 technology modules + 10 focus modules + 4 severity modules
  • Automatic module selection based on input parameters
  • Priority-based module ordering
  • Multi-value support: Analyze multiple technologies and focus areas simultaneously
  • Comma-separated input: "node.js,react,postgresql" or "security,performance,code-quality"
  • Custom instruction integration
  • Intelligent fallback to base prompts

Modular Template System

  • Template sections with dependency resolution
  • Technology-specific template sections
  • Focus-specific template sections
  • Custom section support

Installation

Option 1: Local Development

  1. Clone and install dependencies:
git clone https://github.com/n0zer0d4y/mercury-spec-ops.git
cd mercury-spec-ops
npm install
npm run build
  1. Run the server locally:

Shortened. The full README is on GitHub.

Nothing above is checked by us. What we check is on the safety report.

Mercury Spec Ops: common questions

Is Mercury Spec Ops MCP server safe?
With care: it is graded C, so read the findings first (68/100). Read the Mercury Spec Ops safety report
How do I install Mercury Spec Ops?
It runs on your machine. Copy the Claude Code, Cursor, VS Code or Claude Desktop config from the install section.
Does Mercury Spec Ops need an API key?
Not as far as the registry entry and our scan can tell: no credentials are declared or required.
Is Mercury Spec Ops maintained?
The last commit was 312 days ago (2025-12-27). The latest release is v0.1.2.
What can I use instead of Mercury Spec Ops?
Servers from other publishers that do the same job: Image MCP server, MCP Server for WinDbg Crash Analysis and Agent-Native Analytics MCP server.
How does Mercury Spec Ops compare with other AI and agents MCP servers?
safety score 68/100 (higher than 33% of 4,460 AI and agents servers); tools 6 (the typical AI and agents server has 6); tools that change things 0% (typical: 0%. Fewer write tools means less an agent can break). Full comparison.

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