ADMINV2MCP
FreeNot checkedExposes AdminV2 backend API operations as discoverable, callable tools for AI agents, enabling natural language or structured API interactions.
About
Exposes AdminV2 backend API operations as discoverable, callable tools for AI agents, enabling natural language or structured API interactions.
README
A Model Context Protocol (MCP) server that exposes AdminV2 backend API operations as discoverable, callable tools for AI agents. Built with Laravel and AWS Bedrock (Claude).
Prerequisites
- Docker & Docker Compose
- An external Docker network named
vpc_rms_cde - Access to the AdminV2 backend API
- One of the following LLM providers:
- AWS Bedrock — requires AWS credentials with Bedrock access
- OpenAI — requires OpenAI API key
- Anthropic — requires Anthropic API key
- OpenRouter — free (limited), requires OpenRouter API key (access to 100+ models)
- Ollama — free, self-hosted, no API key needed
Quick Start
1. Clone the repository
git clone <your-gitlab-repo-url>
cd ADMINV2MCP
2. Create the external Docker network (if not exists)
docker network create vpc_rms_cde
3. Configure environment
cp .env.example .env
Edit .env and fill in the required values:
| Variable | Description |
|---|---|
APP_KEY |
Run php artisan key:generate after container starts |
API_BASE_URL |
AdminV2 backend API URL (e.g. https://admin-backend-api) |
LLM_PROVIDER |
LLM provider to use: bedrock, openai, anthropic, openrouter, or ollama |
LLM Provider Configuration
Set LLM_PROVIDER in .env and fill in the corresponding credentials:
| Provider | Variable | Description |
|---|---|---|
bedrock |
AWS_ACCESS_KEY_ID |
AWS access key |
AWS_SECRET_ACCESS_KEY |
AWS secret key | |
AWS_BEDROCK_REGION |
AWS region (default: us-east-1) |
|
AWS_BEDROCK_MODEL |
Model ID or inference profile ARN | |
openai |
OPENAI_API_KEY |
OpenAI API key |
OPENAI_MODEL |
Model name (default: gpt-4o-mini) |
|
OPENAI_BASE_URL |
API base URL (default: https://api.openai.com/v1) |
|
anthropic |
ANTHROPIC_API_KEY |
Anthropic API key |
ANTHROPIC_MODEL |
Model name (default: claude-sonnet-4-20250514) |
|
ollama |
OLLAMA_BASE_URL |
Ollama server URL (default: http://localhost:11434) |
OLLAMA_MODEL |
Model name (default: llama3) |
|
openrouter |
OPENROUTER_API_KEY |
OpenRouter API key |
OPENROUTER_MODEL |
Model name (default: qwen/qwen-2.5-72b-instruct) |
|
OPENROUTER_BASE_URL |
API base URL (default: https://openrouter.ai/api/v1) |
Note: Ollama is free and runs locally. No API key needed — just install Ollama and pull a model. OpenRouter gives access to 100+ models (Qwen, Claude, GPT, Llama, etc.) with a single API key. OpenRouter's free tier has limited rate and model access but is more than enough for our usage.
4. Start containers
docker compose up -d
This starts 2 containers:
- adminv2mcp — Laravel MCP server on port
9896 - adminv2mcp-mysql — MySQL 8.4 on port
3308
5. Generate app key
docker compose exec adminv2mcp php artisan key:generate
6. Run migrations
docker compose exec adminv2mcp php artisan migrate
7. Verify
curl http://localhost:9896/api/health
Should return:
{"success": true, "service": "ADMINV2MCP"}
Usage
Login
curl -X POST http://localhost:9896/api/auth/login \
-H "Content-Type: application/json" \
-d '{"email": "[email protected]", "password": "pass", "mfa": "123456"}'
Call a tool (natural language)
curl -X POST http://localhost:9896/api/tools/call \
-H "Content-Type: application/json" \
-d '{"message": "yo mcp, show me all applications with processing status. just give me first 2 records, order the recs by submission id"}'
Call a tool (structured)
curl -X POST http://localhost:9896/api/tools/call \
-H "Content-Type: application/json" \
-d '{"tool": "get_bulk_application_submission", "arguments": {"filter": {"channel": "MB2U_QRPay-Push"}}}'
Documentation
See docs/MCP_TOOLS.md for full API documentation including:
- All available tools and their parameters
- How MCP works (architecture diagrams)
- Self-learning mechanism
- Restrictions and limitations
- Code examples (JavaScript, Python)
Containers
| Container | Image | Port | Purpose |
|---|---|---|---|
| adminv2mcp | Custom (PHP 8.4) | 9896 | MCP Laravel server |
| adminv2mcp-mysql | mysql:8.4 | 3308 | Self-learning storage |
Stopping
docker compose down
To also remove the database volume:
docker compose down -v
Installing ADMINV2MCP
This server has no published package — it is built from source. Open the repository and follow its README.
▸ github.com/hensem/mcpFAQ
Is ADMINV2MCP MCP free?
Yes, ADMINV2MCP MCP is free — one-click install via Unyly at no cost.
Does ADMINV2MCP need an API key?
No, ADMINV2MCP runs without API keys or environment variables.
Is ADMINV2MCP hosted or self-hosted?
A hosted option is available: Unyly runs the server in the cloud, no local setup required.
How do I install ADMINV2MCP in Claude Desktop, Claude Code or Cursor?
Open ADMINV2MCP on unyly.org, pick your client tab (Claude Desktop, Claude Code, Cursor) and press Install — the config is generated automatically, no JSON editing.
Related MCPs
Fetch
Web content fetching and conversion for efficient LLM usage.
AWS KB Retrieval
Retrieval from AWS Knowledge Base using Bedrock Agent Runtime.
by modelcontextprotocolSpring AI MCP Server
Provides auto-configuration for setting up an MCP server in Spring Boot applications.
llm-analysis-assistant
A very streamlined mcp client that supports calling and monitoring stdio/sse/streamableHttp, and can also view request responses through the /logs page. It also
by xuzexin-hzCompare ADMINV2MCP with
Not sure what to pick?
Find your stack in 60 seconds
Author?
Embed badge for your README
Browse similar
All ai MCPs
