ai.obris/mcp
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Publisher-provided title
Obris
Publisher-provided description
Stop re-explaining yourself to AI. Save knowledge once, use it in every conversation.
Summary by lookupd
Stores user knowledge persistently so an agent can recall it across separate conversations.
Install
Claude Code, remote (streamable-http)
claude mcp add --transport http mcp https://mcp.obris.ai/
Claude Code, pypi package (stdio)
claude mcp add mcp -- uvx obris-mcp
Codex, remote (streamable-http)
codex mcp add mcp --url https://mcp.obris.ai/
Codex, pypi package (stdio)
codex mcp add mcp -- uvx obris-mcp
Cursor, remote (streamable-http) → .cursor/mcp.json
{
"mcpServers": {
"mcp": {
"url": "https://mcp.obris.ai/"
}
}
}Cursor, pypi package (stdio) → .cursor/mcp.json
{
"mcpServers": {
"mcp": {
"command": "uvx",
"args": [
"obris-mcp"
]
}
}
}Other clients: docs. Or tell your agent: Set up lookupd for me: read https://lookupd.com/agent.md and follow it.
Details
- Version: 0.4.0
- Transports: streamable-http, stdio
- Uptime (7 days): 100%
- First indexed:
- Last seen in registry:
- Repository: https://github.com/obris-dev/obris-mcp
- Website: https://obris.ai
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