ModelContextProtocol JL
MCP server for modelcontextprotocol jl
What is ModelContextProtocol JL?
ModelContextProtocol JL is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to mcp server for modelcontextprotocol jl
MCP server for modelcontextprotocol jl
This server falls under the Developer Tools category on MCPgee, the world's largest MCP server directory with 33,000+ servers.
Features
- MCP server for modelcontextprotocol jl
Use Cases
Maintainer
Works with
Installation
Manual Installation
npx modelcontextprotocol-jlConfiguration
Configuration Details
claude_desktop_config.json
Performance
Response Metrics
Resource Usage
How to Set Up and Use ModelContextProtocol JL
ModelContextProtocol.jl is a Julia package that implements the full Model Context Protocol specification, enabling Julia developers to build and run their own MCP servers that expose tools, resources, and prompts to AI assistants like Claude. It supports both stdio and HTTP transports with SSE, OAuth bearer-token validation, progress notifications for long-running tasks, and structured JSON schema outputs. Data scientists and researchers use it to give AI models direct access to Julia's numerical computing ecosystem — running simulations, querying datasets, or executing domain-specific Julia functions on demand.
Prerequisites
- Julia 1.9+ installed (https://julialang.org/downloads/)
- An MCP client such as Claude Desktop or VS Code with MCP extension
- Basic familiarity with Julia's package manager (Pkg)
- For HTTP transport: network access and an optional OAuth provider for token validation
Install the ModelContextProtocol.jl package
Open a Julia REPL and install the package from the Julia general registry using the built-in package manager.
using Pkg
Pkg.add("ModelContextProtocol")Define your tools using MCPTool
Create tool definitions that expose Julia functions to the AI model. Each MCPTool requires a name, description, parameter definitions with types, and a handler function that returns TextContent.
using ModelContextProtocol, Dates, JSON3
time_tool = MCPTool(
name = "get_time",
description = "Get current time in specified format",
parameters = [
ToolParameter(
name = "format",
type = "string",
description = "DateTime format string (e.g. \"yyyy-mm-dd\")",
required = true
)
],
handler = params -> TextContent(
text = JSON3.write(Dict("time" => Dates.format(now(), params["format"])))
)
)Create and start the MCP server
Instantiate the server with your tools and start it. By default it uses stdio transport, which is what Claude Desktop expects. The server blocks until interrupted.
server = mcp_server(
name = "my-julia-server",
version = "1.0.0",
tools = [time_tool]
)
start!(server)Save the server as a runnable script
Save your server code to a .jl file so it can be launched by Claude Desktop as an external process. Name it something like server.jl in a dedicated directory.
# Save as ~/mcp-julia/server.jl
# Then verify it runs:
julia ~/mcp-julia/server.jlConfigure Claude Desktop to launch the Julia server
Add an entry to claude_desktop_config.json that launches your Julia script. Claude Desktop will start the process and communicate over stdio.
{
"mcpServers": {
"julia-server": {
"command": "julia",
"args": ["/Users/yourname/mcp-julia/server.jl"]
}
}
}Restart Claude Desktop and test
Restart Claude Desktop after saving the config. The Julia server will start automatically. Ask Claude to use one of the tools you defined, such as getting the current time.
ModelContextProtocol JL Examples
Client configuration
Claude Desktop configuration to launch a local Julia MCP server script over stdio.
{
"mcpServers": {
"julia-server": {
"command": "julia",
"args": ["/Users/yourname/mcp-julia/server.jl"]
}
}
}Prompts to try
Example prompts once your Julia MCP server is running with custom tools.
- "Get the current time formatted as yyyy-mm-dd HH:MM:SS"
- "Run my Julia simulation with parameters alpha=0.5 and steps=1000"
- "Query the dataset and return the mean and standard deviation of column 'price'"
- "What Julia packages are available in this server?"Troubleshooting ModelContextProtocol JL
Claude Desktop shows the server as disconnected or fails to start
Verify that 'julia' is on your system PATH by running 'which julia' in a terminal. Provide the full absolute path to the Julia binary in the 'command' field if needed, e.g. /usr/local/bin/julia.
Package installation fails with 'not found in registry'
Update your Julia package registry first: run 'using Pkg; Pkg.update()' in the Julia REPL. If the package is still not found, check the Julia version requirement (1.9+).
Tool handler throws an error when called by Claude
Wrap your handler logic in a try/catch block and return error details as TextContent. Parameter types from JSON are strings by default — parse them explicitly (e.g. parse(Float64, params["alpha"])) before use in Julia.
Frequently Asked Questions about ModelContextProtocol JL
What is ModelContextProtocol JL?
ModelContextProtocol JL is a Model Context Protocol (MCP) server that mcp server for modelcontextprotocol jl It connects AI assistants to external tools and data sources through a standardized interface.
How do I install ModelContextProtocol JL?
Follow the installation instructions on the ModelContextProtocol JL GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.
Which AI clients work with ModelContextProtocol JL?
ModelContextProtocol JL works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.
Is ModelContextProtocol JL free to use?
Yes, ModelContextProtocol JL is open source and available under the MIT license. You can use it freely in both personal and commercial projects.
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