C — Moderate risk signals Graded October 17, 2026Several concerns worth a closer look before you install.Based on public adoption and transparency signals as of Oct 17, 2026. Our opinion, not a code audit or security guarantee.
App connector · Data & databases, Cloud & infrastructure
mcpspan
Open-source, self-hosted analytics for MCP servers
Bottom line: MCPspan sees everything your MCP servers handle, so only use it if you trust the package source and keep it on a secure machine with proper access controls.
- Popularity score
- 37/100
- Rank
- #412 of 500
- GitHub stars
- 13
- Weekly downloads
- 364
What it does
MCPspan is an open-source tool that tracks and analyzes how MCP servers (Model Context Protocol servers) perform and behave. It collects data about server activity, responses, and usage patterns to help you understand what your MCP servers are doing.
Who it’s for
Developers who run their own MCP servers and want to monitor their performance. Teams that need visibility into server activity for debugging or optimization.
Copy-paste setup
Check these steps against the project’s own instructions before running anything.
Install via npm: npm install mcpspan. For Claude Desktop integration, add to your Claude Desktop config's mcpServers section. Follow the project's README for detailed configuration options specific to your setup.
Risks
- Server access: Can observe all data flowing through your MCP servers, including prompts, responses, and any sensitive information they process
- Local storage: Stores analytics data on your machine; if your computer is compromised, this activity log could be leaked
- Dependency chain: Like all npm packages, could theoretically be updated with malicious code; verify package integrity and keep dependencies updated
- Unvalidated input: May process data from MCP servers without strict validation, potentially causing crashes or unexpected behavior if servers send malformed data
- No built-in access control: The tool itself doesn't restrict who can view the analytics on your system
How to stay secure
Least-privilege permissions
- Run MCPspan with minimal system permissions needed
- Restrict file access to analytics data to only trusted users
Network isolation
- Keep MCPspan on your local network only
- Do not expose the analytics interface to the public internet
Monitoring
- Regularly check what data MCPspan is collecting and storing
- Review analytics logs for unexpected server behavior or data patterns
Red flags to watch for
- Unexpected spikes in server requests or data volume
- Changes in the tool's behavior after updates
- Any error messages suggesting data corruption or access issues
Alternatives
- OpenTelemetry: Industry-standard observability framework with many integrations
- Prometheus: Open-source metrics collection and monitoring system
- ELK Stack (Elasticsearch, Logstash, Kibana): Self-hosted log analysis and visualization
- Datadog: Commercial APM (application performance monitoring) service with free tier