Overview of MCP Server for Language Server Protocol (LSP) Capabilities

The MCP Server for Language Server Protocol (LSP) capabilities is an innovative solution designed to enhance the interaction between language models and language intelligence features. This server leverages the Model Context Protocol (MCP) to provide seamless access to LSP capabilities through multilspy, a Python library that simplifies interfacing with various language servers. By offering multi-language support and easy integration, the MCP Server is a game-changer for developers seeking to optimize their coding workflow.

Key Features

• Language Intelligence: The MCP Server provides advanced language intelligence features such as code completions, finding definitions, references, and more. These features empower developers to write code more efficiently and with greater accuracy.

• Multi-language Support: The server supports a wide range of programming languages, including Python, Java, TypeScript, and more. This makes it a versatile tool for developers working in diverse coding environments.

• Easy Integration: Integration is straightforward with any MCP-compatible client, such as Claude Desktop. This ensures that developers can quickly incorporate the server into their existing workflows without significant disruptions.

• Static Analysis: By leveraging the power of language servers, the MCP Server offers robust static analysis capabilities. This helps developers gain deeper insights into their code, leading to improved code quality and performance.

Use Cases

1. Enhanced Code Development: Developers can utilize the MCP Server to access language intelligence features that streamline the coding process. From code completions to finding definitions, the server enhances productivity and accuracy.

2. Multi-language Projects: For projects involving multiple programming languages, the MCP Server provides a unified solution that supports various languages, reducing the need for multiple tools.

3. Seamless Integration: With easy integration into MCP-compatible clients, developers can quickly adopt the server into their workflow, minimizing downtime and maximizing efficiency.

4. Static Code Analysis: The server’s static analysis capabilities offer developers valuable insights into their code, allowing for improved debugging and optimization.

Installation and Usage

To install the MCP Server, simply run the following command:

pip install mcp-multilspy

To start the server directly, use:

mcp-multilspy

Alternatively, install it in Claude Desktop with:

mcp install mcp-multilspy

The server supports a wide range of languages, including Java, Python, Rust, C#, TypeScript, JavaScript, Go, Dart, and Ruby. This extensive support ensures that developers can work with their preferred languages seamlessly.

Example Usage

Here’s an example of how to use the MCP Server with an MCP client:

# Initialize a TypeScript language server session
session = await initialize_language_server(
    session_id="ts-session", 
    project_root="/path/to/project",
    language="typescript"
)

# Find where a symbol is defined
definitions = await request_definition(
    session_id="ts-session",
    file_path="src/index.ts",
    line=10,  # 0-indexed
    column=15  # 0-indexed
)

# Find all references to a symbol
references = await request_references(
    session_id="ts-session",
    file_path="src/index.ts",
    line=10,
    column=15
)

# Get code completion suggestions
completions = await request_completions(
    session_id="ts-session",
    file_path="src/index.ts", 
    line=10,
    column=15
)

# Get hover information
hover_info = await request_hover(
    session_id="ts-session",
    file_path="src/index.ts",
    line=10,
    column=15
)

# Get document symbols
symbols = await request_document_symbols(
    session_id="ts-session",
    file_path="src/index.ts"
)

# Clean up when done
await shutdown_language_server(session_id="ts-session")

Requirements

• Python 3.12 or higher
• Language-specific requirements:
  • For Java: JDK 17.0.6 or higher
  • For JavaScript/TypeScript: Node.js v18.16.0 or higher

About UBOS Platform

UBOS is a full-stack AI Agent Development Platform focused on bringing AI Agents to every business department. Our platform helps orchestrate AI Agents, connects them with enterprise data, and enables the building of custom AI Agents with your LLM model and Multi-Agent Systems. With UBOS, businesses can harness the power of AI to drive innovation and efficiency across their operations.