Is io.github.Conv-AI/convai-analytics-mcp safe to use?

io.github.Conv-AI/convai-analytics-mcp has no known CVEs as of the latest MCPpedia security scan. It does not require authentication, so any local process can connect — keep this in mind in shared environments.

How do I install io.github.Conv-AI/convai-analytics-mcp?

io.github.Conv-AI/convai-analytics-mcp supports copy-paste install configs on its MCPpedia page for Claude Desktop, Cursor, and Claude Code. Scroll to the Quick Install section and select your client.

What AI clients work with io.github.Conv-AI/convai-analytics-mcp?

io.github.Conv-AI/convai-analytics-mcp is compatible with claude-desktop, cursor, claude-code. It uses stdio and http transport.

Is io.github.Conv-AI/convai-analytics-mcp actively maintained?

io.github.Conv-AI/convai-analytics-mcp is actively maintained — last commit was 0 days ago.

io.github.Conv-AI/convai-analytics-mcp

@convai/analytics-mcp

Analyze Convai sessions, latency, reliability, usage, and provider telemetry via API key.

230/wk 0 tools GitHub npm PyPI

No known CVEs

No license

Actively maintained

Last commit 0d ago

Works with most clients

Transport: stdio, http

0 tools

Grade F

Edit this pageView history

Analytics

Step 1

Install in your client

Config is the same across clients — only the file and path differ.

Supported in Claude Desktopstdio, http · Node 18+

Paste into ~/Library/Application Support/Claude/claude_desktop_config.json

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

Are you the author?

Add this badge to your README to show your security score and help users find safe servers.

Embed in your READMEAbout badges →

[![MCPpedia Score](https://mcppedia.org/api/badge/io-github-conv-ai-convai-analytics-mcp)](https://mcppedia.org/s/io-github-conv-ai-convai-analytics-mcp)

Read me

What io.github.Conv-AI/convai-analytics-mcp does

This repository lets MCP-capable agents, coding agents, and developers answer questions about Convai session telemetry using only a Convai API key. The recommended path is the published local MCP server, @convai/analytics-mcp, which plugs into Claude Desktop, Cursor, Codex-compatible MCP clients, and other stdio MCP hosts so agents can call typed analytics tools instead of writing custom scripts.

Test This Server

Run this in your terminal to verify the server starts. Then let us know if it worked — your result helps other developers.

npx -y '@convai/analytics-mcp' 2>&1 | head -1 && echo "✓ Server started successfully"

After testing, let us know if it worked:

Loading README…

Scored, not listed

Why this score

Five weighted categories — click any category to see the underlying evidence.

Score breakdown

56/100across 5 weighted dimensions

How we score →

0255075100

−44

Security

Maintenance

Efficiency

Documentation

Compatibility

Categoriesclick a row to see evidence

Security

OSV.dev

No known CVEs.

Checked @convai/analytics-mcp against OSV.dev.

Community

Reviews

Be the first to review

Have you used this server?

Share your experience — it helps other developers decide.

How easy was setup?Did it work reliably?How was the documentation?

Frequently Asked Questions

Is io.github.Conv-AI/convai-analytics-mcp safe to use?: io.github.Conv-AI/convai-analytics-mcp has no known CVEs as of the latest MCPpedia security scan. It does not require authentication, so any local process can connect — keep this in mind in shared environments.
How do I install io.github.Conv-AI/convai-analytics-mcp?: io.github.Conv-AI/convai-analytics-mcp supports copy-paste install configs on its MCPpedia page for Claude Desktop, Cursor, and Claude Code. Scroll to the Quick Install section and select your client.
What AI clients work with io.github.Conv-AI/convai-analytics-mcp?: io.github.Conv-AI/convai-analytics-mcp is compatible with claude-desktop, cursor, claude-code. It uses stdio and http transport.
Is io.github.Conv-AI/convai-analytics-mcp actively maintained?: io.github.Conv-AI/convai-analytics-mcp is actively maintained — last commit was 0 days ago.

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Community

Discussion

Start a conversation

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Has anyone used this with Cursor?How do you handle auth?Any alternatives?

Edit this pageView history

Analytics

Step 1

Install in your client

Config is the same across clients — only the file and path differ.

Supported in Claude Desktopstdio, http · Node 18+

Paste into ~/Library/Application Support/Claude/claude_desktop_config.json

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

Are you the author?

Add this badge to your README to show your security score and help users find safe servers.

Embed in your READMEAbout badges →

[![MCPpedia Score](https://mcppedia.org/api/badge/io-github-conv-ai-convai-analytics-mcp)](https://mcppedia.org/s/io-github-conv-ai-convai-analytics-mcp)

Read me

What io.github.Conv-AI/convai-analytics-mcp does

Test This Server

Run this in your terminal to verify the server starts. Then let us know if it worked — your result helps other developers.

npx -y '@convai/analytics-mcp' 2>&1 | head -1 && echo "✓ Server started successfully"

After testing, let us know if it worked:

README

convai-analytics

Agentic analytics for Convai applications.

This repository lets MCP-capable agents, coding agents, and developers answer questions about Convai session telemetry using only a Convai API key. The recommended path is the published local MCP server, @convai/analytics-mcp, which plugs into Claude Desktop, Cursor, Codex-compatible MCP clients, and other stdio MCP hosts so agents can call typed analytics tools instead of writing custom scripts.

For developers who want direct programmatic access, the repo also includes TypeScript, Python, and CLI clients that use the same public Analytics API.

Ask questions like:

How many interactions did my characters have in the last 7 days?

How many unique end users used each character this month?

Show aggregate P50/P95/P99 latency over time for production readiness sign-off.

Explain why this interaction was slow and generate a waterfall chart.

Which processor, provider, model, or character is driving latency or errors?

The SDK calls Convai's hosted analytics API at https://analytics-api.convai.com/v1/analytics. The API resolves your API key server-side, scopes every query to your account, enforces plan and quota limits, and returns agent-friendly JSON that can be summarized, charted, or used in scripts.

Status: v0.2. The full v1 endpoint surface is wired: summary, timeseries, breakdown, sessions.list, sessions.get, interactions.get, metrics/catalog, regression-detection, and query. Convenience facades (latency, providers, errors, usage) work end to end on top of those primitives.

What This Is

A local MCP server in packages/mcp that exposes the main analytics questions as typed agent tools.
A TypeScript SDK in packages/typescript.
A Python SDK in packages/python.
A CLI in cli.
Prompt recipes in recipes/prompts that tell an AI agent exactly which calls to make for common analytics questions.
Chart recipes in recipes/charts that generate Vega-Lite specs or Plotly timelines for latency, usage, reliability, and concurrency analysis.

What This Is Not

Not a client-side browser SDK. Your Convai API key is a bearer secret. Do not put it in browser JavaScript, mobile apps, public notebooks, screenshots, logs, or committed config files.
Not a direct data-store client. All reads go through Convai's hosted Analytics API with server-side account scoping, plan checks, and quota enforcement.
Not a write API. It only reads analytics data. It does not mutate characters, sessions, configs, or telemetry.
Not a replacement for the Convai dashboard. It is the programmable and agent-friendly surface for deeper analysis, automation, and chart generation.

Repository Layout

convai-analytics/
├── docs/                       Concepts, auth, metrics reference, prompt/chart indexes
├── openapi/                    Snapshot of the analytics API contract
├── packages/
│   ├── typescript/             @convai/analytics SDK
│   ├── mcp/                    @convai/analytics-mcp local stdio server
│   └── python/                 convai-analytics SDK
├── cli/                        convai-analytics command line interface
├── recipes/
│   ├── prompts/                Natural-language prompt templates for AI agents
│   └── charts/                 Runnable chart-generation scripts
└── examples/                   Runnable end-to-end examples

Prerequisites

Node.js 18+ for the TypeScript SDK, CLI, examples, and chart recipes.
Python 3.10+ and uv for the Python SDK examples.
A Convai API key for the account whose analytics you want to query.

Get your key from the same Convai account you use for the rest of the Convai API, then export it in your shell:

export CONVAI_API_KEY="ck_live_your_key_here"

The SDK reads CONVAI_API_KEY automatically. You normally do not need to set a base U

... View full README on GitHub

Loading README…

Scored, not listed

Why this score

Five weighted categories — click any category to see the underlying evidence.

Score breakdown

56/100across 5 weighted dimensions

How we score →

0255075100

−44

Security

Maintenance

Efficiency

Documentation

Compatibility

Categoriesclick a row to see evidence

Security

OSV.dev

No known CVEs.

Checked @convai/analytics-mcp against OSV.dev.

Community

Reviews

Be the first to review

Have you used this server?

Share your experience — it helps other developers decide.

How easy was setup?Did it work reliably?How was the documentation?

Frequently Asked Questions

Is io.github.Conv-AI/convai-analytics-mcp safe to use?: io.github.Conv-AI/convai-analytics-mcp has no known CVEs as of the latest MCPpedia security scan. It does not require authentication, so any local process can connect — keep this in mind in shared environments.
How do I install io.github.Conv-AI/convai-analytics-mcp?: io.github.Conv-AI/convai-analytics-mcp supports copy-paste install configs on its MCPpedia page for Claude Desktop, Cursor, and Claude Code. Scroll to the Quick Install section and select your client.
What AI clients work with io.github.Conv-AI/convai-analytics-mcp?: io.github.Conv-AI/convai-analytics-mcp is compatible with claude-desktop, cursor, claude-code. It uses stdio and http transport.
Is io.github.Conv-AI/convai-analytics-mcp actively maintained?: io.github.Conv-AI/convai-analytics-mcp is actively maintained — last commit was 0 days ago.