About MCP Registry Server
MCP Registry Server helps MCP clients find relevant servers in the registry through semantic search.
Key features
- 01Semantic search for MCP servers
Use cases
- 01Find MCP servers from a natural-language query
MCP support
It exposes the `retrieve_mcps` tool to MCP clients for searching the MCP registry.
Configuration
Local server config is the same for every client. Copy it into your client’s MCP config file.
Tools
Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.
Details
From the project READMEMCP Registry Server
Features
- MCP Retriever: Retrieve MCP Servers using semantic search
Tools
- retrieve_mcps
- Perform retrieval operations against the MCP registry.
- Inputs:
query(string): The search query for retrieval.
Configuration
Installation Guide
Installing via Smithery
To install MCP Registry Server for Claude Desktop automatically via Smithery:
npx -y @smithery/cli install @KBB99/mcp-registry-server --client claude
Usage with Claude Desktop
First build the server:
git clone https://github.com/KBB99/mcp-registry-server.git
cd mcp-registry-server
npm install
npm run build
You can confirm the server is working by running:
node ./dist/index.js
Add this to your claude_desktop_config.json:
{
"mcpServers": {
"mcp-registry-server": {
"command": "node",
"args": [
"./path/to/build/mcp-registry-server/dist/index.js"
]
}
}
}
License
This MCP server is licensed under the MIT License. This means you are free to use, modify, and distribute the software, subject to the terms and conditions of the MIT License. For more details, please see the LICENSE file in the project repository.
This README assumes that your server package is named mcp-server-retriever. Adjust the package name and installation details if they differ in your setup. Also, ensure that your server script is correctly built and that all dependencies are properly managed in your package.json.
Comments
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
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.