Is Mcp Chatwoot Safe?
Mcp Chatwoot — Nerq Trust Score 68.5/100 (C grade). Based on analysis of 5 trust dimensions, it is generally safe but has some concerns. Last updated: 2026-04-10.
Use Mcp Chatwoot with some caution. Mcp Chatwoot is a software tool with a Nerq Trust Score of 68.5/100 (C), based on 5 independent data dimensions. Below the recommended threshold of 70. Security: 0/100. Maintenance: 1/100. Popularity: 0/100. Data sourced from multiple public sources including package registries, GitHub, NVD, OSV.dev, and OpenSSF Scorecard. Last updated: 2026-04-10. Machine-readable data (JSON).
Is Mcp Chatwoot safe?
CAUTION — Mcp Chatwoot has a Nerq Trust Score of 68.5/100 (C). It has moderate trust signals but shows some areas of concern that warrant attention. Suitable for development use — review security and maintenance signals before production deployment.
What is Mcp Chatwoot's trust score?
Mcp Chatwoot has a Nerq Trust Score of 68.5/100, earning a C grade. This score is based on 5 independently measured dimensions including security, maintenance, and community adoption.
What are the key security findings for Mcp Chatwoot?
Mcp Chatwoot's strongest signal is compliance at 82/100. No known vulnerabilities have been detected. It has not yet reached the Nerq Verified threshold of 70+.
What is Mcp Chatwoot and who maintains it?
| Author | RenatoAscencio |
| Category | Communication |
| Source | https://github.com/RenatoAscencio/mcp-chatwoot |
| Frameworks | anthropic · mcp |
| Protocols | mcp · rest |
Regulatory Compliance
| EU AI Act Risk Class | Not assessed |
| Compliance Score | 82/100 |
| Jurisdictions | Assessed across 52 jurisdictions |
Popular Alternatives in communication
What Is Mcp Chatwoot?
Mcp Chatwoot is a software tool in the communication category: MCP Server for Chatwoot - Manage conversations, contacts, messages via Model Context Protocol.. Nerq Trust Score: 68/100 (C).
Nerq independently analyzes every software tool, app, and extension across multiple trust signals including security vulnerabilities, maintenance activity, license compliance, and community adoption.
How Nerq Assesses Mcp Chatwoot's Safety
Nerq's Trust Score is calculated from 13+ independent signals aggregated into five dimensions. Here is how Mcp Chatwoot performs in each:
- Security (0/100): Mcp Chatwoot's security posture is poor. This score factors in known CVEs, dependency vulnerabilities, security policy presence, and code signing practices.
- Maintenance (1/100): Mcp Chatwoot is potentially abandoned. We track commit frequency, release cadence, issue response times, and PR merge rates.
- Documentation (1/100): Documentation quality is insufficient. This includes README completeness, API documentation, usage examples, and contribution guidelines.
- Compliance (82/100): Mcp Chatwoot is broadly compliant. Assessed against regulations in 52 jurisdictions including the EU AI Act, CCPA, and GDPR.
- Community (0/100): Community adoption is limited. Based on GitHub stars, forks, download counts, and ecosystem integrations.
The overall Trust Score of 68.5/100 (C) reflects the weighted combination of these signals. This is below the Nerq Verified threshold of 70. We recommend additional due diligence before production deployment.
Who Should Use Mcp Chatwoot?
Mcp Chatwoot is designed for:
- Developers and teams working with communication tools
- Organizations evaluating AI tools for their stack
- Researchers exploring AI capabilities in this domain
Risk guidance: Mcp Chatwoot is suitable for development and testing environments. Before production deployment, conduct a thorough review of its security posture, review the specific trust signals above, and consider whether a higher-scored alternative meets your requirements.
How to Verify Mcp Chatwoot's Safety Yourself
While Nerq provides automated trust analysis, we recommend these additional steps before adopting any software tool:
- Check the source code — Review the repository's security policy, open issues, and recent commits for signs of active maintenance.
- Scan dependencies — Use tools like
npm audit,pip-audit, orsnykto check for known vulnerabilities in Mcp Chatwoot's dependency tree. - Review permissions — Understand what access Mcp Chatwoot requires. Software tools should follow the principle of least privilege.
- Test in isolation — Run Mcp Chatwoot in a sandboxed environment before granting access to production data or systems.
- Monitor continuously — Use Nerq's API to set up automated trust checks:
GET nerq.ai/v1/preflight?target=mcp-chatwoot - Review the license — Confirm that Mcp Chatwoot's license is compatible with your intended use case. Pay attention to restrictions on commercial use, redistribution, and derivative works. Some AI tools use dual licensing or have separate terms for enterprise customers that differ from the open-source license.
- Check community signals — Look at the project's issue tracker, discussion forums, and social media presence. A healthy community actively reports bugs, contributes fixes, and discusses security concerns openly. Low community engagement may indicate limited peer review of the codebase.
Common Safety Concerns with Mcp Chatwoot
When evaluating whether Mcp Chatwoot is safe, consider these category-specific risks:
Understand how Mcp Chatwoot processes, stores, and transmits your data. Review the tool's privacy policy and data retention practices, especially for sensitive or proprietary information.
Check Mcp Chatwoot's dependency tree for known vulnerabilities. Tools with outdated or unmaintained dependencies pose a higher security risk.
Regularly check for updates to Mcp Chatwoot. Security patches and bug fixes are only effective if you're running the latest version.
If Mcp Chatwoot connects to external APIs or services, each integration point is a potential attack surface. Audit all third-party connections, verify that data shared with external services is minimized, and ensure that integration credentials are rotated regularly.
Verify that Mcp Chatwoot's license is compatible with your intended use case. Some AI tools have restrictive licenses that limit commercial use, redistribution, or derivative works. Using Mcp Chatwoot in violation of its license can expose your organization to legal liability.
Best Practices for Using Mcp Chatwoot Safely
Whether you're an individual developer or an enterprise team, these practices will help you get the most from Mcp Chatwoot while minimizing risk:
Periodically review how Mcp Chatwoot is used in your workflow. Check for unexpected behavior, permissions drift, and compliance with your security policies.
Ensure Mcp Chatwoot and all its dependencies are running the latest stable versions to benefit from security patches.
Grant Mcp Chatwoot only the minimum permissions it needs to function. Avoid granting admin or root access.
Subscribe to Mcp Chatwoot's security advisories and vulnerability disclosures. Use Nerq's API to get automated trust score updates.
Create and maintain a clear policy for how Mcp Chatwoot is used within your organization, including data handling guidelines and acceptable use cases.
When Should You Avoid Mcp Chatwoot?
Even promising tools aren't right for every situation. Consider avoiding Mcp Chatwoot in these scenarios:
- Production environments handling sensitive customer data
- Regulated industries (healthcare, finance, government) without additional compliance review
- Mission-critical systems where downtime has significant business impact
For each scenario, evaluate whether Mcp Chatwoot's trust score of 68.5/100 meets your organization's risk tolerance. We recommend running a manual security assessment alongside the automated Nerq score.
How Mcp Chatwoot Compares to Industry Standards
Nerq indexes over 6 million software tools, apps, and packages across dozens of categories. Among communication tools, the average Trust Score is 62/100. Mcp Chatwoot's score of 68.5/100 is above the category average of 62/100.
This positions Mcp Chatwoot favorably among communication tools. While it outperforms the average, there is still room for improvement in certain trust dimensions.
Industry benchmarks matter because they contextualize a tool's safety profile. A score that looks moderate in isolation may actually represent strong performance within a challenging category — or vice versa. Nerq's category-relative analysis helps teams make informed decisions by showing not just absolute quality, but how a tool ranks against its direct peers.
Trust Score History
Nerq continuously monitors Mcp Chatwoot and recalculates its Trust Score as new data becomes available. Our scoring engine ingests real-time signals from source repositories, vulnerability databases (NVD, OSV.dev), package registries, and community metrics. When a new CVE is published, a major release ships, or maintenance patterns change, Mcp Chatwoot's score is updated within 24 hours.
Historical trust trends reveal whether a tool is improving, stable, or declining over time. A tool that consistently maintains or improves its score demonstrates ongoing commitment to security and quality. Conversely, a downward trend may signal reduced maintenance, growing technical debt, or unresolved vulnerabilities. To track Mcp Chatwoot's score over time, use the Nerq API: GET nerq.ai/v1/preflight?target=mcp-chatwoot&include=history
Nerq retains trust score snapshots at regular intervals, enabling trend analysis across weeks and months. Enterprise users can access detailed historical reports showing how each dimension — security, maintenance, documentation, compliance, and community — has evolved independently, providing granular visibility into which aspects of Mcp Chatwoot are strengthening or weakening over time.
Mcp Chatwoot vs Alternatives
In the communication category, Mcp Chatwoot scores 68.5/100. There are higher-scoring alternatives available. For a detailed comparison, see:
- Mcp Chatwoot vs Real-Time-Voice-Cloning — Trust Score: 71.3/100
- Mcp Chatwoot vs ChatGPT — Trust Score: 73.8/100
- Mcp Chatwoot vs jan — Trust Score: 73.8/100
Key Takeaways
- Mcp Chatwoot has a Trust Score of 68.5/100 (C) and is not yet Nerq Verified.
- Mcp Chatwoot shows moderate trust signals. Conduct thorough due diligence before deploying to production environments.
- Among communication tools, Mcp Chatwoot scores above the category average of 62/100, demonstrating above-average reliability.
- Always verify safety independently — use Nerq's Preflight API for automated, up-to-date trust checks before integration.
Frequently Asked Questions
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See Also
Disclaimer: Nerq trust scores are automated assessments based on publicly available signals. They are not endorsements or guarantees. Always conduct your own due diligence.