Discorevy local MCP Servers. Specification.

by jonnyzzz

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It is a specification that defines a standard way to list and configure MCP (Model Context Protocol) servers on a local machine. It uses markdown files stored in the /.mcp folder, which an LLM‑powered client interprets to discover and set up MCP servers.

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Author
jonnyzzz
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2
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- Standard, local‑only file‑based MCP server registration.
- Markdown format understood by LLMs (Claude, ChatGPT, etc.).
- Client‑driven discovery via periodic disk scans.
- Includes fields for authentication, health checks, and metadata.
- No security implications handled – left to MCP clients.

Create a markdown file per MCP server inside ~/.mcp (or %USER_HOME% on Windows). The file describes the server’s name, ID, version, URL, authentication, capabilities, regions, health check endpoint, and metadata. The MCP client uses an LLM (e.g., Claude, ChatGPT) to extract the necessary information from these files and decides whether and how to use the server. The client must periodically refresh the files to discover new or updated servers.

mcp-server-1.com

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Discorevy local MCP Servers. Specification.

Version: 1.0.1

Goals

This specification aims to allow _the standard way_ to list and configure MCP Servers on a local machine.

Many tools already use MCP Servers to augment the LLMs. Currently, there is no standard approach to quickly registering an MCP Server.

Here are the most popular MCP Clients:
- IntelliJ IDEA
- Anthropic Claude
- OpenAI ChatGPT
- Cursor
- Windsurf
- Warp
- PR to add you

Supported in the following tools

- PR if you support the spec

Specification

Create a file per each MCP server in the ~/.mcp folder (%USER_HOME% on Windows).

The file is a Markdown file that explains an LLM (such as Claude or CharGPT) about your MCP Server details. The client uses LLM to transform your explanation into an actionable MCP Server.

The client is required to regularly refresh the information from the disc to discover new MCP Servers.

This protocol does not resolve any security implications for MCP servers. That is still the responsibility of MCP Clients.

For example:

~/.mcp/my-mcp-server-tool-id.md

Create the following text inside:

---
version: 1.0.1
---

MCP Server: Production

Here, I describe what my MCP Server is doing and why the LLM would decide to include my server in a specific request, which is queried.

Basic Information

- Name: Production Jonnyzzz MCP Server - ID: prod-mcp-01 - Version: 3.2.1 - URL: https://mcp-prod.jonnyzzz.com:8443 - API Version: v2

Authentication

- Type: oauth2 - Client ID: client_123 - Token Endpoint: https://auth.example.com/token

Capabilities

- compute - storage - networking

Regions

us-east

- us-east-1a - us-east-1b

eu-west

- eu-west-1a - eu-west-1b

Health Check

- Endpoint: /health - Interval: 60 seconds

Metadata

- Environment: production - Owner: platform-team - Priority: high

How to use the Spec?

An MCP client uses the LLM (e.g., Claude, ChatGPT) to extract the necessary information from each of the available MCP server's markdown files, which are discovered in the files under the ~/.mcp folder.
It is up to the LLM and the client to decide if to use a specific LLM, ask for credentials, and so on.
The client should refresh the files from the disk regularly.

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