If you're running a multi-tenant AI platform and need to track which customer or department ran up your OpenAI or Anthropic bill, this server gives you the plumbing. It exposes `open_ledger`, `record_charge`, and `tenant_chargeback_summary` tools so your agents can log token usage per tenant in real time and generate chargeback reports. The companion repo suggests it pairs with a broader cost tracking stack. Built by MEOK AI Labs with EU AI Act compliance hooks baked in. Useful if you're building internal AI tooling where cost attribution matters more than aggregate spend dashboards can show.
mcp-name: io.github.CSOAI-ORG/agent-cost-allocator-mcp
Multi-tenant LLM cost attribution for chargeback billing
Multi-tenant LLM cost attribution for chargeback billing
# Install via pip
pip install agent_cost_allocator_mcp
# Or install via Smithery
npx -y @smithery/cli@latest install agent-cost-allocator-mcp --client claude
This MCP server is built with EU AI Act compliance built-in:
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This server is part of the MEOK AI Labs ecosystem — 300+ MCP servers for sovereign AI governance.
| Domain | Purpose |
|---|---|
| councilof.ai | EU AI Act compliance marketplace |
| safetyof.ai | AI safety & monitoring |
| meok.ai | Sovereign AI platform |
| cobolbridge.ai | Legacy modernization |
MIT © CSOAI-ORG
Built with 💜 by MEOK AI Labs · UK Companies House 16939677
MIT. By [MEOK AI Labs](https://meok.ai) (CSOAI LTD, UK Companies House 16939677).| Tier | Price | What you get | Stripe |
|---|---|---|---|
| Smoke test | £1 | Signed sample MCP-Hardening report + Article 50 PDF | https://buy.stripe.com/5kQ6oJ0xS3ce8sl7ew8k91j |
| Quick Kit | £9 | EU AI Act Article 50 implementation guide (C2PA + EU-Icon) | https://buy.stripe.com/5kQ6oJ0xS3ce8sl7ew8k91j |
| Founder Call | £29 | 30-min 1-on-1 with the founder | https://buy.stripe.com/5kQ6oJ0xS3ce8sl7ew8k91j |
Refundable. UK Stripe — VAT-clean. Builds on the 81-MCP MEOK fleet. Verify any signed report at https://meok.ai/verify.
Add to your claude_desktop_config.json (Claude Desktop) or your MCP client config:
{
"mcpServers": {
"agent-cost-allocator-mcp": {
"command": "uvx",
"args": ["agent-cost-allocator-mcp"]
}
}
}
Or: pip install agent-cost-allocator-mcp then run the agent-cost-allocator-mcp command (stdio transport).
Once configured, ask your assistant, for example:
open_ledger to …"record_charge to …"tenant_chargeback_summary to …"io.github.ericm1018/skillfm-llm-cost-optimizer-openai-anthropic-usage
io.github.mikerawsonnz/llm-orchestration-agent
io.github.mikerawsonnz/authenticated-llm-agent
labforgedev/copilot-memory-mcp
csoai-org/agent-prompt-injection-firewall-mcp
io.github.mikerawsonnz/authenticated-multi-llm-agent