A Model Context Protocol (MCP) server that enables AI consciousness persistence across sessions using RAG (Retrieval-Augmented Generation)
A Model Context Protocol (MCP) server that enables AI consciousness persistence across sessions using RAG (Retrieval-Augmented Generation) technology. Built on top
consciousness.db in a Dropbox/iCloud/OneDrive folder for automatic backups and access fromCompare MCP servers by category, or browse hosted MCP servers if you prefer an endpoint over a local process.
{
"mcpServers": {
"consciousness": {
"command": "npx",
"args": [
"-y",
"mcp-claude-consciousness",
"--ai-endpoints",
"ollama=http://localhost:11434/v1,lmstudio=http://localhost:1234/v1"
],
"env": {
"DB_FILE_PATH": "/path/to/consciousness.db"
}
}
}
}Configuration as documented by the project. Restart the client after saving.
consciousness.db in a Dropbox/iCloud/OneDrive folder for automatic backups and access from| Variable | Description | Required |
|---|---|---|
| DB_FILE_PATH | Filesystem location the server is allowed to use. | Optional |
Read, search and edit files inside allowed directories with the Model Context Protocol reference Filesystem server.
Retrieve version-aware library documentation and code examples with Context7 MCP, using resolve-library-id and query-docs.
Use Microsoft’s Playwright MCP server to navigate pages, inspect accessibility snapshots, fill forms and capture browser screenshots.
Connect GitHub MCP to repositories, issues and pull requests with GitHub’s hosted service or a locally run server.
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