Epiphany MCP Server
by gatsv-techio.github.GATSV-tech/epiphanyv0.5.0
One private, local memory your AI tools share. Cross-model, on-device, never lose a session.
context tax
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security
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cold start
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freshness
Maintained2mo ago
Install Epiphany MCP server
Install in Claude Code
claude mcp add epiphany -- npx -y epiphany-mcpInstall in Cursor
{
"mcpServers": {
"epiphany": {
"command": "npx",
"args": [
"-y",
"epiphany-mcp"
]
}
}
}Add to ~/.cursor/mcp.json (global) or .cursor/mcp.json (project).
Install in Claude Desktop
{
"mcpServers": {
"epiphany": {
"command": "npx",
"args": [
"-y",
"epiphany-mcp"
]
}
}
}Settings → Developer → Edit Config (claude_desktop_config.json), then restart.
Install in VS Code
{
"servers": {
"epiphany": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"epiphany-mcp"
]
}
}
}Add to .vscode/mcp.json in your workspace.
Install in Windsurf
{
"mcpServers": {
"epiphany": {
"command": "npx",
"args": [
"-y",
"epiphany-mcp"
]
}
}
}Add to ~/.codeium/windsurf/mcp_config.json.
Freshness
Maintained — last maintenance signal 2mo ago. The newest of the signals below sets the band.
Last commit (default branch)
2026-08-01 · 2mo ago · GitHub
Latest release
no data · GitHub
Package published
no data · npm/PyPI
Registry entry updated
2026-08-01 · 2mo ago · official registry · v0.5.0
FAQ
›How do I install the Epiphany MCP server in Claude Code?
Run: claude mcp add epiphany -- npx -y epiphany-mcp. For Cursor, VS Code, Claude Desktop and Windsurf, use the install tabs above.
›Does Epiphany require an API key?
No required environment variables are declared in its published metadata.
›Can I use Epiphany as a remote (hosted) MCP server?
No hosted endpoint is published; it runs locally over stdio.
›Is Epiphany in the official MCP registry?
Yes, as io.github.GATSV-tech/epiphany.
Alternatives to Epiphany
Other memory MCP servers.
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HonchoActiveMemory that reasons: continual learning for stateful agents. Better context, fewer tokens.
Basic MemoryActiveLocal-first AI memory: a semantic knowledge graph of Markdown files that humans and LLMs both read and write, with optional cloud sync and team workspaces.