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Inked
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javascript
Language
6 months ago
First Indexed
2 months ago
Catalog Refreshed
Documentation & install
Readme and setup notes from the catalogue, plus a client-ready config you can copy for your MCP host.
Installation
Add the following to your MCP client configuration file.
Configuration
View docs{
"mcpServers": {
"frgmt0-mcp-inked": {
"command": "npx",
"args": [
"@frgmt/inked"
]
}
}
}Inked is a compact MCP server focused on fast memory management for Claude-based apps. It provides rapid text search to retrieve memories, stores data locally for security, and can optionally leverage AI-powered search for deeper semantic retrieval. This guide shows you how to install, configure, and use Inked as an MCP server in your environment.
How to use
You integrate Inked with your MCP client by declaring Inked as an MCP server. Start Inked, then use your client to query memories or write new ones. By default, you get fast, exact-text search. If you enable embeddings, Inked can perform semantic search at the cost of additional RAM and download time.
How to install
Prerequisites: ensure you have Node.js and npm installed on your system. Node provides the runtime to install and run Inked.
# Option 1: Recommended - install Inked globally
npm install -g @frgmt/inked
# Option 2: Local development flow
# clone the project, install dependencies, build, then run
# (replace with your preferred directory)
git clone https://github.com/frgmt/inked.git
cd inked
npm install
npm run build
node dist/index.js
Configuration to run Inked as an MCP server
Add Inked as an MCP server in your MCP configuration using the following setup. This uses the standard, fastest search path by invoking Inked via npx with the Inked package.
{
"mcpServers": {
"inked": {
"command": "npx",
"args": ["@frgmt/inked"]
}
}
}
Available tools
read
Search and retrieve memories from Inked by query or request for all memories. Returns the most relevant results based on your search terms.
write
Add new memories or delete existing ones. Use NEW to store content or DELETE to remove items by query or id.