Swift Evolution Mcp

@gigineton 9 months ago

4 MIT

FreeCommunity

AI Systems

A MCP server for searching Swift Evolution.

What is Swift Evolution Mcp

swift-evolution-mcp is a server implementation designed to facilitate searching within the Swift Evolution project, which is a community-driven initiative to improve the Swift programming language.

Use cases

Use cases for swift-evolution-mcp include developers searching for Swift Evolution proposals, contributors reviewing changes, and teams collaborating on Swift language improvements.

How to use

To use swift-evolution-mcp, first construct the database by running the command ‘uv run create_collection.py’. Then, you can run the chroma-mcp server with the specified command and arguments for persistent client type and data directory.

Key features

Key features of swift-evolution-mcp include its integration with the chroma-mcp server, support for persistent client types, and the ability to manage data in a specified directory.

Where to use

swift-evolution-mcp is primarily used in software development environments where Swift programming language enhancements and proposals are being discussed and evaluated.

Clients Supporting MCP

The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.

Claude Desktop: Official desktop application from Anthropic, natively supports MCP protocol. claude.ai

Cherry Studio: Cross-platform desktop client supporting multiple LLM providers, built-in MCP server support. cherry-ai.com

LobeChat: Modern open-source ChatGPT/LLMs UI, supports MCP protocol integration. lobehub.com

DeepChat: Cross-platform desktop AI assistant, compatible with MCP protocol, focusing on privacy and efficiency. deepchat.thinkinai.xyz

5ire: Cross-platform open-source desktop intelligent assistant MCP client, supports local knowledge base and MCP server. 5ire.app

View More MCP Clients

Overview

What is Swift Evolution Mcp

swift-evolution-mcp is a server implementation designed to facilitate searching within the Swift Evolution project, which is a community-driven initiative to improve the Swift programming language.

Use cases

Use cases for swift-evolution-mcp include developers searching for Swift Evolution proposals, contributors reviewing changes, and teams collaborating on Swift language improvements.

How to use

Key features

Key features of swift-evolution-mcp include its integration with the chroma-mcp server, support for persistent client types, and the ability to manage data in a specified directory.

Where to use

swift-evolution-mcp is primarily used in software development environments where Swift programming language enhancements and proposals are being discussed and evaluated.

Clients Supporting MCP

The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.

Claude Desktop: Official desktop application from Anthropic, natively supports MCP protocol. claude.ai

Cherry Studio: Cross-platform desktop client supporting multiple LLM providers, built-in MCP server support. cherry-ai.com

LobeChat: Modern open-source ChatGPT/LLMs UI, supports MCP protocol integration. lobehub.com

DeepChat: Cross-platform desktop AI assistant, compatible with MCP protocol, focusing on privacy and efficiency. deepchat.thinkinai.xyz

5ire: Cross-platform open-source desktop intelligent assistant MCP client, supports local knowledge base and MCP server. 5ire.app

View More MCP Clients

Content

Swift Evolution MCP

A MCP server implementation to search Swift Evolution.

Requirements

uv

Usage

Construct Database

$ uv run create_collection.py

Run chroma-mcp

https://github.com/chroma-core/chroma-mcp

Dev Tools Supporting MCP

The following are the main code editors that support the Model Context Protocol. Click the link to visit the official website for more information.

Zed: High-performance collaborative code editor, supports MCP protocol, providing a smooth programming experience. zed.dev

Cursor: AI code editor built on VS Code, supports MCP protocol for context-aware programming. cursor.com

Windsurf: AI code editor from Codeium, integrates MCP protocol to provide intelligent code assistance. windsurf.com

Continue: Open-source AI programming assistant plugin, supports VS Code and JetBrains, compatible with MCP protocol. continue.dev

Trae: AI-driven code editor, supports MCP protocol, focusing on enhancing developer programming experience. trae.ai

View More MCP Dev Tools

Tools

No tools

Comments

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