
MCP-local-spécial
Spec de découverte des serveurs MCP
1
Github Watches
0
Github Forks
1
Github Stars
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.
相关推荐
I find academic articles and books for research and literature reviews.
Confidential guide on numerology and astrology, based of GG33 Public information
Advanced software engineer GPT that excels through nailing the basics.
Take an adjectivised noun, and create images making it progressively more adjective!
Siri Shortcut Finder – your go-to place for discovering amazing Siri Shortcuts with ease
Découvrez la collection la plus complète et la plus à jour de serveurs MCP sur le marché. Ce référentiel sert de centre centralisé, offrant un vaste catalogue de serveurs MCP open-source et propriétaires, avec des fonctionnalités, des liens de documentation et des contributeurs.
Manipulation basée sur Micropython I2C de l'exposition GPIO de la série MCP, dérivée d'Adafruit_MCP230XX
Miroir dehttps: //github.com/bitrefill/bitrefill-mcp-server
L'application tout-en-un desktop et Docker AI avec chiffon intégré, agents AI, constructeur d'agent sans code, compatibilité MCP, etc.
MCP Server pour récupérer le contenu de la page Web à l'aide du navigateur sans tête du dramwright.
Reviews

user_g2C4xEaS
mcp-local-spec by jonnyzzz is a fantastic tool for managing local specifications. Its easy-to-navigate structure and efficient features make it perfect for streamlining your development workflow. The integration process is smooth, and the detailed documentation on the GitHub page provides clear guidance. Highly recommend for any developer looking to improve their project management. Check it out at https://github.com/jonnyzzz/mcp-local-spec.