Skip to main content
Glama
deenesjakoruzh
arushsingh17

brd-enhancer-mcp

by arushsingh17
OverviewSchemaRelated ServersScoreDiscussions
Python
Remote

brd-enhancer-mcp

A package that ships three MCP servers for an AI-assisted SDLC workflow:

Server

Executable

Purpose

enhance-prompt

prompt-enhancer-mcp

Enhance dev tasks with project documentation context

test-workflow

test-workflow-mcp

Generate & submit Gherkin test cases from Confluence

pipeline-analyzer

pipeline-analyzer-mcp

Analyze Harness pipeline failures with RAG context from past incidents

Prerequisites

⚠️ Use Official Python (NOT Microsoft Store Python)

Download Python from https://www.python.org/downloads/

During installation, make sure to check:

✅ "Add Python to PATH"

Verify you have the correct Python:

where python

Output

Status

C:\Python313\python.exe

✅ Official Python — Good

C:\Users\...\WindowsApps\python.exe

❌ Microsoft Store Python — Reinstall from python.org

Related MCP server: Context7 MCP

Installation

Option A — Global Install (Recommended for most developers)

pip install git+https://github.com/arushsingh17/mcp.git

Verify installation:

pip show brd-enhancer-mcp
where brd-enhancer-mcp        # Windows
which brd-enhancer-mcp        # Mac/Linux

Option B — Virtual Environment Install

# Step 1: Create and activate a virtual environment
python -m venv venv
venv\Scripts\activate          # Windows
source venv/bin/activate       # Mac/Linux

# Step 2: Install the package
pip install git+https://github.com/arushsingh17/mcp.git

# Step 3: Get the exact executable path (needed for config)
python -c "import shutil; print(shutil.which('brd-enhancer-mcp'))"

Example output:

C:\Users\YourName\Desktop\myproject\venv\Scripts\brd-enhancer-mcp.exe

Copy this path — you will need it in the config below.

Configuration

🌍 Global Install Config

Since brd-enhancer-mcp is registered in system PATH, no file path is needed.

Claude Desktop → %APPDATA%\Claude\claude_desktop_config.json (Windows) Claude Desktop → ~/Library/Application Support/Claude/claude_desktop_config.json (Mac) Claude Code → ~/.claude.json

{
    "mcpServers": {
        "brd-enhancer": {
            "command": "brd-enhancer-mcp",
            "env": {
                "API_KEY": "your_api_key",
                "PROJECT_ID": "your_project_id",
                "API_URL": "https://your-backend.com"
            }
        }
    }
}

📦 Virtual Environment Config

Use the full path you got from the command above.

⚠️ On Windows replace every \ with \\ in the path

{
    "mcpServers": {
        "brd-enhancer": {
            "command": "C:\\Users\\YourName\\Desktop\\myproject\\venv\\Scripts\\brd-enhancer-mcp.exe",
            "env": {
                "API_KEY": "your_api_key",
                "PROJECT_ID": "your_project_id",
                "API_URL": "https://your-backend.com"
            }
        }
    }
}

Mac/Linux venv config:

{
    "mcpServers": {
        "brd-enhancer": {
            "command": "/Users/yourname/myproject/venv/bin/brd-enhancer-mcp",
            "env": {
                "API_KEY": "your_api_key",
                "PROJECT_ID": "your_project_id",
                "API_URL": "https://your-backend.com"
            }
        }
    }
}

Environment Variables

Shared (all servers)

Variable

Required

Default

Description

API_KEY

✅ Yes

—

Your personal backend API key

PROJECT_ID

✅ Yes

—

Your project ID/GUID

API_URL

❌ No

http://localhost:8000

Backend URL

pipeline-analyzer-mcp only

Variable

Required

Default

Description

HARNESS_API_KEY

✅ Yes

—

Harness personal access token (pat.ACCOUNT.TOKEN_ID.SECRET)

HARNESS_ACCOUNT_ID

✅ Yes

—

Harness account identifier

HARNESS_PROJECT_ID

✅ Yes

—

Harness project identifier

HARNESS_ORG_ID

❌ No

default

Harness organization identifier

HARNESS_BASE_URL

❌ No

https://app.harness.io

Harness base URL (change for self-hosted)

pipeline-analyzer example config

{
    "mcpServers": {
        "pipeline-analyzer": {
            "command": "pipeline-analyzer-mcp",
            "env": {
                "API_URL": "https://your-backend.com",
                "API_KEY": "your_backend_api_key",
                "PROJECT_ID": "your_project_id",
                "HARNESS_API_KEY": "pat.ACCOUNT.TOKEN_ID.SECRET",
                "HARNESS_ACCOUNT_ID": "your_harness_account_id",
                "HARNESS_ORG_ID": "default",
                "HARNESS_PROJECT_ID": "your_harness_project_id",
                "HARNESS_BASE_URL": "https://app.harness.io"
            }
        }
    }
}

Quick Reference

Scenario

Command in config

Global install (Official Python)

"command": "brd-enhancer-mcp"

Global install (Microsoft Store Python)

Full path from where brd-enhancer-mcp

Virtual environment (any OS)

Full path from python -c "import shutil; print(shutil.which('brd-enhancer-mcp'))"

Install Server
A
license - permissive license
A
quality
D
maintenance

How are these scores calculated?

Maintenance

–Maintainers
–Response time
–Release cycle
–Releases (12mo)
Commit activity

Resources

Unclaimed servers have limited discoverability.

Looking for Admin?

If you are the server author, to access and configure the admin panel.

Tools

Related MCP Servers

  • MCP Prompt Enhancer

    soniankur948
    F
    license
    Not graded
    quality
    D
    maintenance
    Intelligently analyzes codebases to enhance LLM prompts with relevant context, featuring adaptive context management and task detection to produce higher quality AI responses.
    2

  • doc-bot

    afterxleep
    A
    license
    A
    quality
    A
    maintenance
    Provides AI assistants with intelligent access to project documentation and API references through smart search, contextual rules, and Docset integration. Enables AI to understand project-specific conventions, patterns, and official framework documentation without token limits.
    11
    88
    6
    MIT

View all related MCP servers

Related MCP Connectors

  • ref-tools-ref-tools-mcp

    Provide your AI coding tools with token-efficient access to up-to-date technical documentation for…

  • Context Book

    Stop re-explaining yourself to Agents. Give it the right context, right when needed.

  • renCosta2025-context7fork

    Get up-to-date, version-specific documentation and code examples from official sources directly in…

View all MCP Connectors

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/arushsingh17/mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server