Convai Analytics
Analyze Convai sessions, latency, reliability, usage, and provider telemetry via API key.
MCP server · by Conv-AI
About
Convai Analytics is an MCP server published by Conv-AI. Marketplaces we read that list it: 1 (Official MCP Registry). We first saw it on 2026-10-11 and have recorded no change since. As of our marketplace pass on 2026-10-12.
What it asks for
- Runs on your machine
- Secrets: 1
- Settings: 2
Requires: CONVAI_API_KEY (secret)
What it declares, asks for and runs, in full
Only install plugins from developers you trust. We list what marketplaces publish and do not test plugins.
Works with
- Claude Code
- Codex
- Cursor
- VS Code
- Copilot CLI
From the marketplaces that list it and the MCP transport it declares, as each client documents them. We do not test plugins.
Connect
Commands and configs built only from what its marketplaces declare. We do not run them for you and do not test plugins.
As a local MCP server: npm package
Built from what Official MCP Registry declares.
claude mcp add --env "CONVAI_API_KEY=<YOUR_CONVAI_API_KEY>" --transport stdio convai-analytics-mcp -- npx -y @convai/analytics-mcp[mcp_servers.convai-analytics-mcp]
command = "npx"
args = ["-y", "@convai/analytics-mcp"]
[mcp_servers.convai-analytics-mcp.env]
CONVAI_API_KEY = "<YOUR_CONVAI_API_KEY>"{
"mcpServers": {
"convai-analytics-mcp": {
"command": "npx",
"args": [
"-y",
"@convai/analytics-mcp"
],
"env": {
"CONVAI_API_KEY": "<YOUR_CONVAI_API_KEY>"
}
}
}
}Replace the values in angle brackets with your own. We show the names of the settings, never values.
Optional settings it also lists: CONVAI_ANALYTICS_BASE_URL.
We do not store launch arguments. If the server needs any, its own documentation names them.
Where it is published
| Marketplace | Status | Version | Figures | Verified | First seen |
|---|---|---|---|---|---|
| Official MCP Registry (Open the registry record) | Listed | 0.2.5 | Forks (GitHub): 0 Stars (GitHub): 0 |
Not marked |
Each figure is the marketplace's own and is never added up across marketplaces. A marketplace that publishes no figure shows none: no number is not zero.
What changed
Nothing has moved on this plugin since we started watching it.
Similar plugins
Products whose own names, descriptions, tools and skills are closest in meaning to this one, on every marketplace we read. Closeness is ranked within this list only.
-
Analytics your AI agent can actually use. Track, experiment, and optimize via MCP.
-
MCP observability. Query live traffic, errors, duration, and alerts from your AI agent.
-
See your local Copilot token usage by day, model, and session, and get tips to use it more efficiently.
-
mcp io.github.warpmetrics/mcp
Connect AI assistants to Warpmetrics — query runs, calls, costs, and outcomes.
-
OpenTelemetry observability for Claude Code sessions. Captures tool calls, LLM invocations, token usage, and errors as OTel traces. Send telemetry to Dash0 or any…
-
Customer feedback for your AI assistant: CSAT, NPS and CES scores, response search, AI themes.
-
Read-only MCP for AI usage profiles, leaderboards, stats, and docs; no writes or private data.
-
Turn-level governance observability for Claude Code transcripts. Local-first, no LLM inside.
-
Skills for working with Langfuse, the open-source LLM engineering platform for tracing, prompt management, and evaluation.
-
Structured observability for AI agents. Trace steps, decisions, and errors. MCP server + CLI viewer.
Similar plugins by marketplace
The same question asked of one marketplace at a time: is there an analog of this plugin there?
Has a listing on Claude Code: claude-plugins-community (5)
-
OpenTelemetry observability for Claude Code sessions. Captures tool calls, LLM invocations, token usage, and errors as OTel traces. Send telemetry to Dash0 or any…
-
Skills for working with Langfuse, the open-source LLM engineering platform for tracing, prompt management, and evaluation.
-
Mines every Claude Code session into a local SQLite database and provides a /mine skill with 18+ natural language query intents. Track costs, tokens, tools, projects, errors…
-
Analyzes session interactions and recommends repeatable patterns for automation via skills, hooks, sub-agents, or slash commands
-
Analyze real user-agent conversations to surface where users get blocked, optimize prompts, and understand what drives engagement or churn
Has a listing on Claude Code: claude-plugins-official (5)
-
OpenTelemetry observability for Claude Code sessions. Captures tool calls, LLM invocations, token usage, and errors as OTel traces. Send telemetry to Dash0 or any…
-
Skills for working with Langfuse, the open-source LLM engineering platform for tracing, prompt management, and evaluation.
-
Connect Claude Code to LogRocket to query session replays, metrics, issues, and user behavior using natural language.
-
Generate an explorable HTML report of Claude Code session usage — tokens, cache efficiency, subagents, skills, and the most expensive prompts — from local ~/.claude/projects…
-
Skills for adding DeepEval evaluations, tracing, datasets, Confident AI reports, and iterative improvement loops to AI applications.
Has a listing on Claude: knowledge-work-plugins (5)
-
Skills for working with Langfuse, the open-source LLM engineering platform for tracing, prompt management, and evaluation.
-
Use Datadog directly in Claude Code through a preconfigured Datadog MCP server. Query logs, metrics, traces, dashboards, and more through natural conversation. This plugin is in…
-
Bring Pendo product analytics into Claude Code: account health, feature adoption, session replay lookup and triage, feedback analysis, and data-informed planning grounded in real…
-
Hosted MCP server for AI-assisted Grafana Cloud observability — no local installation required.
-
DataRobot skills for AI/ML workflows — model training, deployment, predictions, feature engineering, monitoring, explainability, data preparation, App Framework CI/CD, and…
Has a listing on Codex: openai-curated (openai/plugins) (5)
-
PostHog gives your AI agent direct access to your product analytics, feature flags, experiments, error tracking, surveys, logs, and LLM analytics. Ask questions about your data…
-
Available for US1 customers only. Analyze, investigate, and act on your Datadog telemetry directly from ChatGPT using natural language. Ask questions about your production…
-
Analyze Mixpanel data with the mixpanel_headless Python SDK and Codex skills.
-
Evaluate Codex skills and plugins from chat with a beginner-friendly start command, local-first reports, token budget explanations, and guided benchmarking.
-
Answer product and business questions with data
Has a listing on Community GitHub marketplaces (5)
-
Dash0 Observability
OpenTelemetry observability for OpenAI Codex sessions. Captures prompts, tool calls, MCP calls, sub-agent activity, and token usage as OTel traces.
-
Skills for adding DeepEval evaluations, tracing, datasets, Confident AI reports, and iterative improvement loops to AI applications.
-
Dynatrace observability skills: DQL query patterns, application and infrastructure monitoring, log analysis, problem investigation, and incident response workflows, with the…
-
Use Amplitude as an expert analyst — instrument Amplitude, discover product opportunities, analyze charts, create dashboards, manage experiments, and understand users and accounts.
-
Access Confidence feature flags, experiments, and migration tools directly from Claude Code.
Has a listing on Copilot CLI: github/awesome-copilot (5)
-
See your local Copilot token usage by day, model, and session, and get tips to use it more efficiently.
-
Visualizes live session AI-credit usage as a Pac-Man board with pellets, ghosts, fruit milestones, and game-over limits.
-
Query Sumo Logic logs, alerts, dashboards, and SIEM insights directly from Copilot.
-
Use Datadog directly in Copilot / VS Code through a preconfigured Datadog MCP server. Query logs, metrics, traces, dashboards, and more through natural conversation.
-
Microsoft Copilot Studio plugins for AI coding agents
Has a listing on Copilot CLI: github/copilot-plugins (5)
-
Toolkit for building Microsoft 365 Copilot declarative agents — scaffolding, JSON manifest development, and capability configuration.
-
workiq
Query Microsoft 365 data with natural language — emails, meetings, documents, Teams messages, and more.
-
workiq-productivity
WorkIQ productivity skills powered by the local WorkIQ CLI — read-only insights across email, meetings, calendar, Teams, SharePoint, projects, and people.
-
Build Power Apps Canvas Apps using the Canvas Authoring MCP server.
-
model-apps
Build and deploy Power Apps generative pages for model-driven apps with specialist agents for planning, entity creation, and parallel code generation. Requires PAC CLI >= 2.7.0…
Has a listing on Cursor: cursor/plugins (5)
-
Work with PostHog from chat: query product analytics and run SQL, manage feature flags and experiments, triage error tracking issues, and review session replays, surveys, and…
-
Track AI visibility, sentiment, and citations.
-
Inspect and manage feature gates, experiments, dynamic configs, and metrics.
-
Search meetings and pull transcripts and summaries.
-
Search meeting transcripts, summaries, and action items.
Has a listing on Docker MCP Catalog (5)
-
Read and score Opik traces, experiments, datasets and prompts from your AI assistant.
-
Wayfound’s MCP server allows business users to govern, supervise, and improve AI Agents.
-
Analyze documents, images, videos, and audio.
-
Remote MCP server for the Hackle Admin API: experiments, feature flags, remote config, messaging.
-
Dynatrace-mcp io.github.dynatrace-oss/Dynatrace-mcp
[DEPRECATED] Dynatrace MCP Server. Migrate to dynatrace-for-ai or Dynatrace Remote MCP Server.
Has a listing on Official MCP Registry (5)
-
Analytics your AI agent can actually use. Track, experiment, and optimize via MCP.
-
MCP observability. Query live traffic, errors, duration, and alerts from your AI agent.
-
mcp io.github.warpmetrics/mcp
Connect AI assistants to Warpmetrics — query runs, calls, costs, and outcomes.
-
Customer feedback for your AI assistant: CSAT, NPS and CES scores, response search, AI themes.
-
Read-only MCP for AI usage profiles, leaderboards, stats, and docs; no writes or private data.
Found by meaning, not by shared code or a shared repository: similar plugins stay separate products, and this is not a review or a recommendation.
Is this your plugin?
Add it to your projects and prove you maintain it with a file in its repository, a file on your domain or a DNS record. You get alerts when a marketplace lists it, drops it, changes its verified mark or what it asks for, and its remote endpoint goes on monitoring as a web service.
Data comes from the Official MCP Registry (registry.modelcontextprotocol.io), CC0 1.0. Figures come from our own regular passes over the marketplaces, last read on . We publish no contact details for plugin publishers.