Convai Analytics

@convai/analytics-mcp

Local stdio MCP server for Convai Analytics.

This package is the recommended agent interface for Convai Analytics. It lets MCP-capable agents answer questions about your Convai sessions, latency, reliability, usage, and provider/model performance without writing custom SDK scripts. It wraps the public @convai/analytics TypeScript SDK, uses CONVAI_API_KEY, and returns structured JSON plus Vega-Lite chart specs.

Package: @convai/analytics-mcp

Official MCP Registry name: io.github.Conv-AI/convai-analytics-mcp

Install And Run

export CONVAI_API_KEY="ck_live_your_key_here"npx -y @convai/analytics-mcp@latest

Optional:

export CONVAI_ANALYTICS_BASE_URL="https://analytics-api.convai.com/v1/analytics"

Leave CONVAI_ANALYTICS_BASE_URL unset for production. Do not put the API key in source code, committed MCP config, screenshots, or logs.

After adding or changing MCP config, restart Claude Desktop, Claude Code, Cursor, Codex, or your MCP host so it reloads the server command and CONVAI_API_KEY.

Claude Desktop

{  "mcpServers": {    "convai-analytics": {      "command": "npx",      "args": ["-y", "@convai/analytics-mcp@latest"],      "env": {        "CONVAI_API_KEY": "ck_live_your_key_here"      }    }  }}

After saving this config, quit and reopen Claude Desktop so it starts the new MCP server.

Cursor / Codex-Compatible MCP Clients

Use the same stdio command:

{  "command": "npx",  "args": ["-y", "@convai/analytics-mcp@latest"],  "env": {    "CONVAI_API_KEY": "ck_live_your_key_here"  }}

For Claude Code, Cursor, Codex-compatible clients, and other stdio MCP hosts, restart the client or start a new session after adding or changing MCP config.

Security Model

The server is customer-facing and public-safe by design:

• It only calls the public Convai Analytics API through @convai/analytics.
• It does not accept account overrides, service credentials, database URLs, or other internal access paths.
• Account scoping, plan gating, and quota enforcement stay server-side in the hosted analytics API.
• Tool results are sanitized so errors do not echo CONVAI_API_KEY.

Tools

Core and account tools:

• get_summary
• get_metrics_catalog
• list_sessions
• get_session_timeline
• get_interaction_trace

Latency tools:

• get_p95_latency_over_time
• get_latency_percentile_series
• get_latency_percentile_chart
• get_latency_threshold_chart
• get_latency_heatmap_chart
• get_component_latency_breakdown
• generate_component_latency_chart
• find_component_latency_bottlenecks
• generate_interaction_waterfall
• explain_slow_session

Reliability tools:

• get_error_trend
• generate_error_trend_chart
• get_error_breakdown
• generate_error_breakdown_chart
• get_dropped_error_persist_trend
• generate_dropped_error_persist_chart
• generate_reliability_summary_chart
• generate_reliability_trends_chart

These reliability tools use error and dropped-persistence metrics that are available today. If an agent asks for a status distribution, only use group_by=status when the returned rows contain real non-empty status groups; otherwise report that status-tagged aggregate telemetry is not available for that range.

Usage and concurrency tools:

• get_usage_trends
• generate_usage_trends_chart
• get_character_usage_leaderboard
• generate_character_usage_chart
• generate_session_duration_scatter
• estimate_active_session_concurrency
• generate_active_session_concurrency_chart
• generate_peak_concurrency_chart

Provider and model tools:

• get_tts_provider_attribution
• generate_tts_provider_chart
• get_llm_model_latency
• generate_llm_model_latency_chart
• compare_providers

Plan-gated advanced tools:

• detect_regressions
• advanced_query

Plan-gated tools return typed MCP tool errors for 402/403 responses with the required plan in the message.

Prompts

The server exposes prompt templates for common customer questions:

• why_was_this_session_slow
• aggregate_latency_distribution
• p95_latency_trend
• component_bottlenecks
• trace_explanation
• error_rate_trends
• provider_comparison
• usage_summary

Resources

• convai://analytics/docs/concepts
• convai://analytics/docs/metrics-reference
• convai://analytics/docs/authentication
• convai://analytics/catalog

The catalog resource fetches the caller's account catalog when CONVAI_API_KEY is available.

Example Questions

How many interactions and unique end users did I have in the last 30 days?Break it down by character and generate a usage trend chart.

Show aggregate P50/P95/P99 voice.user_to_bot_latency for production readiness sign-off.Add a 3000 ms p95 threshold line and summarize the worst buckets.

Explain why session s_123 was slow and generate an interaction waterfall if there is a traceable interaction.

Show reliability trends, errors by component, and dropped error-persistence events.

Estimate active session concurrency and show the peak concurrency chart.

Local Development

From the repo root:

make mcp-installmake mcp-lintmake mcp-testmake mcp-buildmake mcp-smoke

Live smoke against production with your own key:

export CONVAI_API_KEY="ck_live_your_key_here"export CONVAI_ANALYTICS_BASE_URL="https://analytics-api.convai.com/v1/analytics"export CONVAI_ANALYTICS_E2E_RANGE="last_30d"cd packages/mcpnpm run e2e:prod

The live smoke accepts empty data for accounts without recent traffic and treats plan-gated 402/403 responses as valid gated results.

Discovery

The canonical MCP registry manifest is server.json. The server is published to npm and the Official MCP Registry. Additional directories and marketplaces such as GitHub MCP Registry, Smithery, Glama, PulseMCP, mcp.so, and Docker MCP Catalog can reference the same package and registry metadata.