OkOvia MCP server — query your AI cost, margin, and reliability from any MCP client (Claude Desktop, Claude Code, …) in natural language.
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# okovia-mcp OkOvia MCP server — ask any MCP client (Claude Desktop, Claude Code, …) about the **cost, margin, reliability, and quality** of your AI usage, in natural language. It talks to the OkOvia API with your key and exposes the read dashboards as MCP tools. It runs on your machine; no data beyond the API calls leaves it, and it never sends prompts or content. ## What you can ask - "How much did my AI features cost, highest first?" - "Which model or provider is driving the cost?" - "Show the most recent operations and their cost. Detail `op_7K9x`." - "What's my reliability — which model has the most errors or timeouts?" - "Compare the models I use." ## Requirements - Python 3.10+ (run via [`uvx`](https://docs.astral.sh/uv/) or `pipx`) - An OkOvia **secret** API key (`vik_sec_…`) from the console → Settings → Service accounts ## Configure your MCP client Claude Desktop / Claude Code (`mcpServers` block): ```json { "mcpServers": { "okovia": { "command": "uvx", "args": ["okovia-mcp"], "env": { "OKOVIA_API_KEY": "vik_sec_your_key", "OKOVIA_ENDPOINT": "https://api.okovia.com" } } } } ``` `OKOVIA_ENDPOINT` defaults to `https://api.okovia.com` — set it only for self-hosted deployments. ## Tools | Tool | What it returns | |---|---| | `check_connection` | API reachable + endpoint | | `cost_by_feature` | cost (USD) + op count per feature | | `cost_by_model` / `cost_by_provider` / `cost_by_channel` | cost grouped by that dimension | | `cost_by_customer` | cost, revenue and gross margin per customer (`tenant_id` in operation metadata) | | `list_operations` | recent operations with total cost (`limit`, default 20) | | `get_operation` | full detail for one operation id | | `reliability` | success/error/timeout rates, daily timeline, top error codes | | `quality` | client-side eval scores (0..1): totals, timeline, per-evaluator/feature/model with cost per operation | | `model_comparison` | models side by side (i…
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