Server data from the Official MCP Registry
Search and cross-reference local AI chat history with read-only tools and source citations.
About
Search and cross-reference local AI chat history with read-only tools and source citations.
Security Report
Valid MCP server (1 strong, 1 medium validity signals). No known CVEs in dependencies. Package registry verified. Imported from the Official MCP Registry.
8 files analyzed · 1 issue found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
Permissions Required
This plugin requests these system permissions. Most are normal for its category.
How to Install
Add this to your MCP configuration file:
{
"mcpServers": {
"io-github-as-xs-ai-pensieve-mcp": {
"args": [
"ai-pensieve-mcp"
],
"command": "uvx"
}
}
}Documentation
View on GitHubFrom the project's GitHub README.
AI Pensieve MCP
Search your imported AI conversations locally, either through the illustrated desktop room or from an MCP client.
Privacy: the archive stays on your computer and MCP tools are read-only. Retrieved excerpts may be sent to the AI provider connected to your client. How your data is handled
Install
Open the desktop with uv:
uvx ai-pensieve
For a persistent command:
pipx install ai-pensieve
pensieve
To run only the read-only MCP server against an existing archive:
uvx ai-pensieve-mcp /absolute/path/to/archive.sqlite
See the package installation guide for client setup, platform requirements, persistent archive locations, and source installation.
Use the desktop
- Open the wooden door and touch the Pensieve.
- Choose Import a memory, then select a provider bottle, Unmarked for auto-detection, or Find & import local sessions.
- Choose an exported file or folder, inspect the selection, and pour it into the basin. The original files stay unchanged.
- Choose Search the waters, search by keyword, and open a smoke result to read the original thread.
The GUI imports ChatGPT, Claude, Gemini, DeepSeek, Grok, and supported coding sessions. NotebookLM currently provides notebook metadata only. See the full compatibility matrix and export guide.
Connect an AI client
Import an archive first, then follow AI client setup and
check the client verification status.
Version 0.2.0 adds shelf → Connect to an AI for copyable setup and
pensieve --demo to try invented memories in a temporary archive.
Try prompts such as:
Search my archive for discussions about machine learning. Show the source conversations and dates supporting your answer.
Find discussions of my project across different AI providers and compare the decisions recorded in them.
More example prompts and tool details.
The archive is a local snapshot: import or refresh again when new conversations should appear. For command-line imports, custom source folders, and revision and deduplication rules, see the user guide.
Licensed under Apache License 2.0.
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