Deep Recall (getdeeprecall.com)

MCP server · source repo · graded 2026-10-30Source linked

One memory you own, shared by Claude, ChatGPT, Gemini, Muse and any remote MCP client.

Outside reports could not be checked just now

Deep Recall (getdeeprecall.com) links no public source repository on GitHub, npm, or PyPI; verify its origin and permissions before installing.

Based on public adoption and transparency signals as of Oct 30, 2026. Our opinion, not a code audit or security guarantee.

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What it can access

  • Local filesNo local folder access notedLOW
  • Command executionNo shell command runner notedLOW
  • Network reachLocal or standard API callsLOW
  • CredentialsNo API token requiredLOW
  • Package sourceSource repository onlyPUBLIC

Inferred from this listing’s public package details and description. Check the project’s source before installing.

Install

We hold no install steps for this listing. Follow the project’s own instructions.

All setup options ↓

Everything known

We could not reach our research just now, so this list may be incomplete. Try again later.

0 incidents · 0 advisories · 0 news articles · 0 community threads

Popularity grade: F (from public signals such as stars and downloads, not a code review). Graded 2026-10-30.

Sources we read: OSV, GitHub Advisory Database, CISA Known Exploited Vulnerabilities, 44 security news feeds and our incident library.

About Deep Recall (getdeeprecall.com)

Deep Recall (getdeeprecall.com) is an MCP server focused on Developer tools and Communication: One memory you own, shared by Claude, ChatGPT, Gemini, Muse and any remote MCP client.

No standalone npm or PyPI registry package is linked on file; review the project links before installing. Based on its public metadata, it operates with standard local or API scope without broad shell execution flags noted.

Setup

We hold no install steps for Deep Recall (getdeeprecall.com). Follow the project’s own instructions.

Why this grade

FF — Many risk signals

Signal-based grade (0/7 points): no public source code found. This reflects adoption and transparency, not a code review.

Popularity and upkeep

4/100
Listing last refreshed
2026-10-30

These are public popularity signals, not a maintenance check. Look at the repository’s commit history and open issues.

Risks to watch for

  • Unlinked source code repository: No public GitHub repository or registry package is linked on file. Verify the publisher identity and inspect the code before running it locally.

How to lower the risk

Least-privilege permissions

  • Give it access only to the specific folders, accounts or projects it needs, never your whole drive or admin account.
  • Use a separate, limited API key or login just for this tool so you can switch it off without affecting anything else.

Network isolation

  • Run it on a work computer or sandbox account, not one holding personal or company-sensitive data.
  • If your IT team can, limit which websites and services it is allowed to contact.

Monitoring

  • Check its activity history or logs weekly at first, and look at what it changed or sent.
  • Turn on alerts for new logins or unusual usage on any account it connects to.

Red flags to watch for

  • It asks for more access than its job requires, or prompts you to paste passwords.
  • It suddenly updates with new owners, or starts contacting unfamiliar websites.

Questions

How do I install Deep Recall (getdeeprecall.com)?

Use the project links in the Key facts section on this page for installation steps.

Are there security reports about Deep Recall (getdeeprecall.com)?

We could not check outside reports just now. Deep Recall (getdeeprecall.com) currently holds Grade F (Many risk signals) based on public adoption and transparency signals. Review the permissions and source repository before granting access to local files, shell commands, or API keys.

Is Deep Recall (getdeeprecall.com) actively maintained?

We do not have star or download counts on file for Deep Recall (getdeeprecall.com) yet (listing refreshed 2026-10-30). Check the commit history and open issues before relying on it.

What are alternatives to Deep Recall (getdeeprecall.com)?

You can compare Deep Recall (getdeeprecall.com) side by side with other Memory MCP servers in the Related tools section on this page, or use the Compare tool on AgentArmorHQ.

README badge and team notes

Maintain or use Deep Recall (getdeeprecall.com)? Show its live grade in your GitHub README, docs site, or run a check from the terminal before you install.

AgentArmorHQ Risk Grade F for Deep Recall (getdeeprecall.com)

GitHub README Markdown:

markdown
[![AgentArmorHQ Risk Grade for Deep Recall (getdeeprecall.com)](https://agentarmorhq.com/api/badge/deep-recall-getdeeprecall-com)](https://agentarmorhq.com/skills/deep-recall-getdeeprecall-com)

HTML embed:

html
<a href="https://agentarmorhq.com/skills/deep-recall-getdeeprecall-com"><img src="https://agentarmorhq.com/api/badge/deep-recall-getdeeprecall-com" alt="AgentArmorHQ Risk Grade for Deep Recall (getdeeprecall.com)" height="20" /></a>

Terminal check:

terminal
curl -fsSL https://agentarmorhq.com/api/cli | node --input-type=module - check "deep-recall-getdeeprecall-com"

Share with your security lead

Need sign-off to use Deep Recall (getdeeprecall.com)? Copy this note for Slack, a ticket or a pull request.

### AgentArmorHQ Security Review Memo: Deep Recall (getdeeprecall.com)
- **Listing URL:** https://agentarmorhq.com/skills/deep-recall-getdeeprecall-com
- **Type:** App connector
- **Risk Grade:** Grade F (Many risk signals)
- **Outside Security Advisories on File:** 0

#### Permission & Blast-Radius Signals
- **Local files:** No local folder access noted
- **Command execution:** No shell command runner noted
- **Network reach:** Local or standard API calls
- **Credentials:** No API token required
- **Package source:** Source repository only

#### Recommended Hardened Setup
- Follow repository setup instructions.
- **Controls:** Pin an exact version in `.mcp.json`, scope access to a single workspace folder, and use a least-privilege read-only token where supported.

_Based on public adoption and transparency signals as of Oct 30, 2026. Our opinion, not a code audit or security guarantee._

Key facts

Type
App connector
Est. context load
~850 tokens / turn (~5 tool schemas, 0.43% of 200k context)
Last updated
2026-10-30
Last graded
2026-10-30

Community

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