A debugging and observability layer for Gemini calls via Vertex AI. This wraps each completion request in an OpenTelemetry trace span and returns both the LLM response and telemetry data, so you can instrument your AI workflows without changing how you call the model. Part of the GOSCE agent portfolio running on getvda.ai, it's designed for production deployments where you need visibility into latency, token usage, and request patterns. The server exposes the traced-gemini capability over streamable HTTP transport. Reach for this when you're running Gemini in production and want APM-grade traces without writing custom instrumentation for every LLM call.
Public tool metadata for what this MCP can expose to an agent.
invokeProxy Gemini (Vertex AI) completions wrapped in OpenTelemetry trace spans; returns the answer plus the trace/span id.1 paramsProxy Gemini (Vertex AI) completions wrapped in OpenTelemetry trace spans; returns the answer plus the trace/span id.
inputstringA portfolio of production remote MCP + A2A agents running on getvda.ai, discovered + quality-assured by the GOSCE Portfolio Router. Each agent is capability-scoped, speaks open A2A + MCP, and is metered with Nevermined x402 micropayments (discovery is free).
Generated by GOSCE (GitHub Open-Source Combination Engine) — an automated pipeline that mines the OSS dependency graph for monetizable package combinations and deploys each as a verified agent.
Query the Portfolio Router for any capability — it returns the matching verified agent's endpoint, Agent Card, and a real example output from its own health probe.
io.github.ericm1018/skillfm-llm-cost-optimizer-openai-anthropic-usage
io.github.mikerawsonnz/llm-orchestration-agent
io.github.mikerawsonnz/authenticated-llm-agent
labforgedev/copilot-memory-mcp
csoai-org/agent-prompt-injection-firewall-mcp
io.github.mikerawsonnz/authenticated-multi-llm-agent