MCP.Market

Perenna MCP server

by scarletkc·io.github.scarletkc/perenna·v0.4.1·61 stars

A lightweight, Git-backed permanent memory for AI agents.

B78/100grade B
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Safety scan
B78/100

full report

Adoption
Growing

61 stars31 downloads/wk

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

Perenna tools

No tool declarations could be read from the package source. They show once the server is installed.

Public scan report

scanner v0.1.10 · 2026-10-30 · same rubric, same numbers if you re-run it

no findings
  • Code scan22 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 qualitystatic API keys via environment variables6/15
  • Maintenancelast push 52 days ago12/15
  • Maintainer identityregistry namespace matches repository owner; GitHub account older than a year8/10
Overall 78/100. Components that don't apply are left out of the denominator. Any critical finding is an F.RubricAppeal a findingJSON

How Perenna compares

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

Safety score
78/100
higher than 50% of 1,119 Developer tools servers
GitHub stars
61
more than 92% of 856 Developer tools servers
Downloads a week
31
more than 15% of 442 Developer tools servers with a package

Install Perenna in Claude Code, Cursor or VS Code

claude mcp add perenna -- uvx perenna
Add to Cursor

What the publisher says

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

Perenna

<!-- mcp-name: io.github.scarletkc/perenna -->

A lightweight, Git-backed permanent memory for AI agents. Claude Code, Codex, ChatGPT, Cursor, and other MCP clients can share durable memories without sharing a vendor account or conversation history.

  • Separate MCP tools for reading, writing, and deleting memories
  • Local stdio, loopback-only Streamable HTTP, and OAuth-protected remote HTTP
  • Human-readable Markdown stored in an independent Git repository
  • Local Vexor retrieval index that can always be rebuilt from Git
  • Cross-process locking for multiple local agent processes

Why Perenna?

Your memory should follow you, not the agent you happen to be using.

Claude Code, Codex, Cursor, and ChatGPT keep memory in separate silos. Switch agents and your memory disappears. Switch machines and local memory stays behind.

Perenna gives them one shared, Git-backed memory. Local agents and ChatGPT can connect to the same self-hosted Perenna service, while every durable memory stays ordinary Markdown you can inspect, edit, version, and back up yourself.

Perenna stays focused on permanent memory: no required account, proprietary memory cloud, or automatic conversation extraction.

Quickstart

Install with your AI agent

Paste this into Claude Code, Codex, ChatGPT Desktop, Cursor, or another coding agent with terminal and local MCP configuration access:

Open the following URL, read the complete instructions, and follow them to
install and connect Perenna:
https://raw.githubusercontent.com/scarletkc/Perenna/main/docs/guides/agent-installation.md

Install a published release

Perenna requires Python 3.12+, Git, and uv.

Install Perenna

uv tool install perenna

Configure retrieval

Perenna needs a working Vexor embedding provider. For interactive provider selection and configuration, run:

uvx vexor init

Perenna automatically reuses ~/.vexor/config.json. When using process-level configuration, make sure the MCP server receives VEXORCONFIGJSON plus VEXORAPIKEY or the selected provider's key from its host environment. Remote providers receive memory text and search queries.

If you choose local embeddings, also install Perenna's local extra:

uv tool install "perenna[local]"

Vexor provider configuration covers remote and local setup. From the environment that starts the MCP client, verify the selected provider with:

uvx vexor doctor

Connect a client

For the standalone setup, configure the MCP client to start:

Shortened. The full README is on GitHub.

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

Perenna: common questions

Is Perenna MCP server safe?
Mostly: it is graded B (78/100). Read the Perenna safety report
How do I install Perenna?
It runs on your machine. Copy the Claude Code, Cursor, VS Code or Claude Desktop config from the install section.
Does Perenna need an API key?
Yes. The registry entry asks for VEXOR_API_KEY, VEXOR_REMOTE_RERANK_API_KEY.
Is Perenna maintained?
The last commit was 58 days ago (2026-09-09). The latest release is v0.4.1.
What can I use instead of Perenna?
Servers from other publishers that do the same job: Akb MCP server, Palinode MCP server and Folio MCP server. Compare all Perenna alternatives.
How does Perenna compare with other Developer tools MCP servers?
safety score 78/100 (higher than 50% of 1,119 Developer tools servers); github stars 61 (more than 92% of 856 Developer tools servers); downloads a week 31 (more than 15% of 442 Developer tools servers with a package). Full comparison.

Alternatives to Perenna

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  • Folio
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  • Hexis
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  • Nexusmem
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