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Costlens — Ai Productivity Tracking

Costlens — Ai Productivity Tracking

Local
github.com/Costlens-devData & Analytics0
Repository

About Costlens — Ai Productivity Tracking

Track AI productivity automatically via MCP. Measures sessions, commits, PRs, cost per deliverable, and generates ROI reports for engineering leaders. Zero latency — all tracking is async.

#productivity#ai#cost-optimization#developer-tools#reporting

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

mcp.json · Universal config
{
  "mcpServers": {
    "costlens": {
      "command": "npx",
      "args": [
        "-y",
        "@costlens/mcp-server"
      ],
      "env": {
        "COSTLENS_MCP_KEY": "<COSTLENS_MCP_KEY>"
      }
    }
  }
}
Run commandnpx -y @costlens/mcp-server
Environment variables to set
COSTLENS_MCP_KEYSecret

Local servers need a runtime on your machine (e.g. Node.js 18+). Config file locations differ by client; see your client’s docs.

Packages
npm@costlens/mcp-server

Tools

7

Saved tool list · updated 3w ago

This tool takes no parameters.

Details

The maintainer has not added details yet. Check the README in the repository.

Comments

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New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.