reverify

MCP server · GitHub · ★ 1.3k · graded 2026-10-22Source linked

Stop your AI from making things up — it proposes, deterministic tools decide, every claim checked against ground truth with evidence. Grounded facts and context survive resets. Reverse engineering is the proving ground. MCP server + CLI.

No outside reports on file

Reverify reduces hallucination risk only as much as its data sources are trustworthy and correctly configured; it's not a complete solution and requires careful setup and monitoring.

Based on public adoption and transparency signals as of Oct 22, 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 reachConnects to outside service APINOTED
  • CredentialsNo API token requiredLOW
  • Package sourceGitHub (2akouwu/reverify)PUBLIC

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

Install

No npm or PyPI package is listed. Install from source: github.com/2akouwu/reverify ↗

All setup options ↓

Everything known

We found nothing about this project in the sources we read (last checked 2026-10-30). That does not mean it has no problems.

0 incidents · 0 advisories · 0 news articles · 0 community threads · checked 2026-10-30

Popularity grade: C (from public signals such as stars and downloads, not a code review). Graded 2026-10-22.

Sources we read: OSV, GitHub Advisory Database, CISA Known Exploited Vulnerabilities, 44 security news feeds and our incident library. Last checked 2026-10-30.

Check a specific version →

About Reverify

Reverify is an MCP server that tries to stop AI from making up facts by checking claims against real information sources. It works as both a server and command-line tool, storing verified facts and context so they survive between conversations.

Who it’s for

Developers and AI teams who want their AI assistants to provide only factual, evidence-backed answers rather than plausible-sounding but false information. It's designed for situations where accuracy really matters.

Alternatives

  • Anthropic's Files API: Upload documents and let Claude search them for facts
  • LangChain agents with tools: Build custom fact-checking workflows using language model frameworks
  • OpenAI Retrieval-Augmented Generation (RAG): Connect your AI to a knowledge base of verified documents
  • Manual review processes: Have humans double-check AI outputs before deployment

Setup

Check these steps against the project’s own instructions before running anything.

Follow the project's README for full installation and configuration steps. The tool appears to be in active development; check the GitHub repository for current setup instructions and dependencies.

Why this grade

CC — Moderate risk signals

Signal-based grade (3/7 points): well starred on GitHub, public source code. This reflects adoption and transparency, not a code review.

Popularity and upkeep

34/100
GitHub stars
1.3k
Listing last refreshed
2026-10-29

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

Risks to watch for

  • Access to your data sources: The tool connects to whatever information sources you point it at, so misconfiguration could expose private databases or files to the MCP server
  • Deceptive web pages: Websites can contain false or misleading information; if Reverify treats web content as "ground truth," it could spread misinformation
  • Tool confusion: The AI might still misuse or misunderstand how to call the verification tools, leading to incorrect fact-checking
  • No guarantee of accuracy: Even with verification attempts, the tool depends on the quality of its sources; garbage in means garbage out
  • Hidden instructions in sources: Text inside data files or web pages could contain prompt-injection attempts aimed at confusing both the tool and the AI

How to lower the risk

Least-privilege permissions

  • Run the MCP server with minimal access to your data sources
  • Only connect it to databases and files it actually needs

Network isolation

  • Restrict which external websites or APIs it can query
  • Use a firewall to limit outbound requests from the server

Monitoring

  • Log all fact-checking queries and their results
  • Review what sources the tool is actually consulting

Red flags to watch for

  • Verification claims that seem too confident or always agree with the AI
  • Slow or failing lookups that might indicate misconfiguration
  • Responses that cite sources you didn't intend to include

Questions

How do I install Reverify?

Reverify does not publish a standalone npm or PyPI package. Clone or follow the setup instructions in its source repository at github.com/2akouwu/reverify.

Are there security reports about Reverify?

No reports found for this package in our research (last checked 2026-10-30). Reverify currently holds Grade C (Moderate risk signals) based on public adoption and transparency signals. Key risk areas to watch include access to your data sources, deceptive web pages, tool confusion.

Is Reverify actively maintained?

Reverify has 1.3k GitHub stars. Our directory data was last refreshed on 2026-10-29. Check recent commit activity, release tags, and open issues at github.com/2akouwu/reverify before pinning it in production.

What are alternatives to Reverify?

Notable alternatives to Reverify include Anthropic's Files API (Upload documents and let Claude search them for facts), LangChain agents with tools (Build custom fact-checking workflows using language model frameworks), OpenAI Retrieval-Augmented Generation (RAG) (Connect your AI to a knowledge base of review documents), Manual review processes (Have humans double-check AI outputs before deployment). You can also compare Reverify side by side with other MCP servers in the Related tools section on this page.

README badge and team notes

Maintain or use Reverify? Show its live grade in your GitHub README, docs site, or run a check from the terminal before you install.

AgentArmorHQ Risk Grade C for Reverify

GitHub README Markdown:

markdown
[![AgentArmorHQ Risk Grade for Reverify](https://agentarmorhq.com/api/badge/2akouwu-reverify)](https://agentarmorhq.com/skills/2akouwu-reverify)

HTML embed:

html
<a href="https://agentarmorhq.com/skills/2akouwu-reverify"><img src="https://agentarmorhq.com/api/badge/2akouwu-reverify" alt="AgentArmorHQ Risk Grade for Reverify" height="20" /></a>

Terminal check:

terminal
curl -fsSL https://agentarmorhq.com/api/cli | node --input-type=module - check "2akouwu-reverify"

Share with your security lead

Need sign-off to use reverify? Copy this note for Slack, a ticket or a pull request.

### AgentArmorHQ Security Review Memo: reverify
- **Listing URL:** https://agentarmorhq.com/skills/2akouwu-reverify
- **Type:** App connector
- **Risk Grade:** Grade C (Moderate risk signals)
- **Outside Security Advisories on File:** 0
- **Public Adoption:** 1.3k GitHub stars

#### Permission & Blast-Radius Signals
- **Local files:** No local folder access noted
- **Command execution:** No shell command runner noted
- **Network reach:** Connects to outside service API
- **Credentials:** No API token required
- **Package source:** GitHub (2akouwu/reverify)

#### Recommended Hardened Setup
- **Source Repo:** https://github.com/2akouwu/reverify
- **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 22, 2026. Our opinion, not a code audit or security guarantee._

Key facts

Type
App connector
Publisher
2akouwu
Source code
github.com/2akouwu/reverify
Est. context load
~900 tokens / turn (~5 tool schemas, 0.45% of 200k context)
Popularity
1.3k GitHub stars
Last updated
2026-10-29
Last graded
2026-10-22

Community

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