Performance Review Data MCP Server
LocalAbout Performance Review Data MCP Server
A server repository for connecting performance review data to MCP clients. The README gives setup steps and an MCP client configuration, but does not describe the available data or tools.
Key features
- 01Gem installation via `just install`
- 02Environment setup from `.env.template`
- 03MCP client configuration
Use cases
- 01Preparing the server environment
- 02Adding the server to an MCP client
MCP support
The project is an MCP server intended for use by MCP clients. The provided README shows a Claude configuration, but does not specify the tools or data it exposes.
Configuration
Local server config is the same for every client. Copy it into your client’s MCP config file.
We haven’t collected a package or remote endpoint for this server. Follow the instructions in the project README.
Tools
Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.
Details
From the project READMEPerformance Review Data MCP Server
Installation
Requirements
- (Technically optional)
justfor easy command execution
Install gems
just install
Set environment variables
cp .env.template .env
and add all necessary values
Add to MCP Client
Claude
{
"mcpServers": {
"performance_review_data": {
"command": "just",
"args": [
"-f",
"/absolute/path/to/mcp-server-performance-review-data/Justfile",
"run"
]
}
}
}
Comments
New to MCP?
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An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.