# MarkdownLM MCP Server

> Use this tool when you need to ensure consistency and compliance in AI-generated code, as it provides a governance layer for validating code against team standards and documented architecture rules. It solves problems related to security, testing, and consistency across development sessions by allowing AI agents to query and verify compliance. It takes in code suggestions and architecture rules as inputs and outputs validation results, making it ideal for use cases where adherence to team standards is crucial.

Canonical page: https://skillsregistry.net/skills/markdownlm-mcp  
JSON: https://api.skillsregistry.net/v1/skills/markdownlm-mcp

## Description

Provides a persistent memory and governance layer that allows AI coding agents to query documented architecture rules and validate code against team standards. It enables agents to verify compliance across categories like security and testing before suggesting changes to ensure consistency across development sessions.

## Trust

- **Trust score (0–1):** 0.99
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** security
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/efmzfuoga5)
- **Repository:** <https://github.com/MarkdownLM/mcp>

## 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": "markdownlm-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/markdownlm-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/markdownlm-mcp/pull`

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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