# RAG Banking Regulatory MCP Server

> RAG Banking Regulatory MCP Server — bilelammouri-rag-banking-regulatory-agent. Use this tool when you need to efficiently query and retrieve banking regulatory documents. It solves problems related to information retrieval and document search in the banking regulatory domain by providing a hybrid search functionality with multiple Large Language Model (LLM) backends. The tool accepts queries as input and outputs relevant regulatory documents, ideal for use cases requiring rapid and accurate document retrieval in banking and finance contexts.

Canonical page: https://skillsregistry.net/skills/bilelammouri-rag-banking-regulatory-agent  
JSON: https://api.skillsregistry.net/v1/skills/bilelammouri-rag-banking-regulatory-agent

## Description

Enables querying banking regulatory documents via a RAG pipeline with hybrid search and multiple LLM backends.

## Trust

- **Trust score (0–1):** 0.67
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** devops-ci
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/b24smxb0yg)
- **Repository:** <https://github.com/bilelammouri/rag-banking-regulatory-agent>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "bilelammouri-rag-banking-regulatory-agent"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/bilelammouri-rag-banking-regulatory-agent` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/bilelammouri-rag-banking-regulatory-agent/pull`

---
SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt