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AI Pensieve MCP server

by AS-XS·io.github.AS-XS/ai-pensieve-mcp·v0.2.0·1 stars
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Search and cross-reference local AI chat history with read-only tools and source citations.

A92/100grade A
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Safety scan
A92/100

full report

Adoption
Growing

1 stars37 downloads/wk

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If you have run it, two minutes of your experience saves the next person an afternoon.

AI Pensieve MCP tools (13)

write = sends, deletes, buys or posts

Read from the package source without running it. The installed server may list more.

  • archive_status

    Return providers, accounts, record counts, and date ranges without message text.

  • cross_reference

    Bundle matching evidence by provider/account with explicit coverage.

  • get_conversation

    Read a conversation page. Use newest_first=true to check current status.

  • get_conversation_matches

    Page ranked title/message matches inside one fully identified conversation.

  • get_memory

    Read one saved memory or context record using its search-result identity.

  • get_message

    Read exact message text in character pages; follow next_offset until null.

  • get_message_context

    Read graph-aware ancestors and descendants around one search result.

  • list_conversations

    Enumerate conversations independent of keyword matches.

  • list_sources

    List available archive sources, optionally filtered by provider or account.

  • search_conversations

    Find distinct conversations among the first 50 ranked search candidates.

  • search_history

    Search message/context text and conversation titles using FTS5 syntax.

  • survey_archive

    Survey broad interests/projects by rotating through source accounts.

  • sweep_archive

    Read a bounded page of messages, then saved context, without keywords.

Public scan report

scanner v0.1.10 · 2026-10-03 · same rubric, same numbers if you re-run it

no findings
  • Code scan39 source files scanned25/25
  • –Live reliabilityno gateway calls yet and no remote to proben/a
  • –Tool poisoningtools not inspected (local package is not executed); not countedn/a
  • Auth qualitylocal package, no credentials required12/15
  • Maintenancelast push 17 days ago15/15
  • Maintainer identityregistry namespace matches repository owner; GitHub account older than a year8/10
Overall 92/100. Components that don't apply are left out of the denominator. Any critical finding is an F.RubricAppeal a findingJSON

How AI Pensieve MCP compares

Against every graded Web search MCP server, from our own scans and uptime checks. Updated after each scan run.

Safety score
92/100
higher than 90% of 3,470 Web search servers
Tools
13
the typical Web search server has 5
Tools that change things
0%
typical: 0%. Fewer write tools means less an agent can break
GitHub stars
1
more than 55% of 1,786 Web search servers
Downloads a week
37
more than 23% of 827 Web search servers with a package

What its tools let an agent do: 12 read · 1 delete

Install AI Pensieve MCP in Claude Code, Cursor or VS Code

claude mcp add ai-pensieve-mcp -- uvx ai-pensieve-mcp
Add to Cursor

What the publisher says

From the AI Pensieve MCP repository's README, as published. We do not edit it. Read it on GitHub

AI Pensieve MCP

中文版：README · 客户端设置 · 用户指南

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

auto-detection, or Find & import local sessions.

  1. Open the wooden door and touch the Pensieve.
  2. Choose Import a memory, then select a provider bottle, Unmarked for

the basin. The original files stay unchanged.

  1. Choose an exported file or folder, inspect the selection, and pour it into

read the original thread.

  1. Choose Search the waters, search by keyword, and open a smoke result to

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.

<!-- mcp-name: io.github.AS-XS/ai-pensieve-mcp -->

Nothing above is checked by us. What we check is on the safety report.

AI Pensieve MCP: common questions

Is AI Pensieve MCP server safe?
Yes, by our scan: it is graded A (92/100). Read the AI Pensieve MCP safety report
How do I install AI Pensieve MCP?
It runs on your machine. Copy the Claude Code, Cursor, VS Code or Claude Desktop config from the install section.
Does AI Pensieve MCP need an API key?
Not as far as the registry entry and our scan can tell: no credentials are declared or required.
Is AI Pensieve MCP maintained?
The last commit was 49 days ago (2026-09-16). The latest release is v0.2.0.
What can I use instead of AI Pensieve MCP?
Servers from other publishers that do the same job: Pubchem MCP server, Arxiv MCP server and Claude Code Ultimate Guide MCP server.
How does AI Pensieve MCP compare with other Web search MCP servers?
safety score 92/100 (higher than 90% of 3,470 Web search servers); tools 13 (the typical Web search server has 5); tools that change things 0% (typical: 0%. Fewer write tools means less an agent can break). Full comparison.

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