B — Some risk signals Graded October 16, 2026Minor concerns worth a quick check.Based on public adoption and transparency signals as of October 16, 2026. Our opinion, not a code audit or security guarantee.
App connector · General
go-micro
A framework for agents, tools and services
Bottom line: Signal-based grade (4/7 points): very widely starred on GitHub, public source code. This reflects adoption and transparency, not a code audit.
- Popularity score
- 48/100
- Rank
- #142 of 500
- GitHub stars
- 23.1k
What it does
go-micro is a Go framework for building microservices, agents, and distributed systems with built-in support for service discovery, load balancing, and RPC communication. It provides tooling for agents to orchestrate multiple services and tools through a unified interface.
Who it’s for
Go developers and teams building production microservices architectures or multi-agent systems. Organizations seeking a battle-tested framework for service-oriented agent backends.
Copy-paste setup
Check these steps against the project’s own instructions before running anything.
go-micro is a Go library, not an npm package or standalone MCP server. To use it as an agent backend:
- Install:
go get github.com/micro/go-micro/v3 - Initialize a service in your agent code
- Define handlers and expose them via RPC
- Connect your MCP connector to call go-micro services
Verify against the repo README for current MCP integration patterns, as this is a framework rather than a turnkey connector.
Risks
- Service discovery and RPC handlers may inadvertently expose internal tools/services if access control is misconfigured
- Distributed tracing and logging can leak sensitive agent context or user data across service boundaries without careful sanitization
- Dependency chain includes multiple Go packages; supply-chain risk grows with the number of transitive dependencies
- No built-in encryption or authentication enforced by default; operators must layer security (mTLS, auth middleware) manually
- Agent prompt injection risks increase if go-micro services accept unvalidated input from upstream agents or APIs
How to stay secure
Least-privilege permissions
- Restrict service discovery advertisement to only required tools/handlers; disable auto-registration of debug or admin endpoints
- Implement role-based access control (RBAC) middleware on all RPC handlers; validate caller identity before processing requests
- Use Go-micro's auth wrapper to enforce token/JWT validation; deny all requests by default, whitelist only necessary service-to-service calls
- Run go-micro services with minimal OS-level permissions; avoid running agents with root or elevated capabilities
Network isolation
- Deploy go-micro services in separate network segments; use network policies or firewalls to restrict inter-service communication to defined ports only
- Enable and enforce mTLS on all service-to-service communication; generate and rotate certificates regularly with short TTLs
- Disable or bind the registry/broker to localhost or internal networks only; never expose on public interfaces without authentication
- Use service mesh (Istio, Linkerd) to enforce encrypted traffic and enforce mutual authentication at the network layer
Monitoring
- Log all RPC calls with sanitized input/output (redact tokens, credentials, sensitive context); forward logs to centralized SIEM with tamper-proof storage
- Monitor service discovery registrations in real-time for unexpected services or handlers; alert on unapproved endpoint exposure
- Track dependency versions and scan transitive Go module dependencies weekly for CVEs; automate updates for critical packages
- Instrument distributed traces to exclude sensitive payload data; implement span-level redaction rules for user data, prompts, and credentials
Red flags to watch for
- Handlers accepting raw agent prompts or user input without validation or sanitization; implement input validation and prompt injection filtering
- Services registering with overly permissive metadata or empty ACL rules; audit registry for public or unauthenticated handler exposure
- Unencrypted inter-service communication, plaintext credentials in environment variables, or hardcoded API keys in service configuration
- Verbose debug logging enabled in production; sensitive agent context, internal tool names, or user data appearing in logs or traces
Alternatives
- gRPC – lower-level RPC framework; more explicit control but steeper learning curve
- Temporal – workflow orchestration for agents and services; stronger state management and audit trails
- NATS – lightweight pub/sub and microservices mesh; simpler for event-driven agent architectures
- Dapr – language-agnostic runtime for distributed apps; easier multi-language agent integration