MCP server for multi-tenant LLM cost attribution and chargeback billing. It is intended to help track ledger entries, record charges, and summarize tenant billing usage.
From the registry: Agent Cost Allocator MCP — multi-tenant LLM cost attribution for chargeback billing. Companion to
$ pip install uvhttps://docs.astral.sh/uv/Please install the `agent-cost-allocator-mcp` MCP server into my current AI client (that's you).
Optional prerequisites:
- Install uvx — Install uv so the uvx command is available, which is the simplest portable way shown to run the MCP server. Run: `pip install uv` (https://docs.astral.sh/uv/)
Canonical MCP server config (stdio transport):
- command: `uvx`
- args: ["agent-cost-allocator-mcp"]
Note: README also mentions an alternative local path: install the Python package with pip and run the agent-cost-allocator-mcp command directly over stdio. No environment variables are documented.
Add this MCP server to my current client's config in the correct format for you. If you need secrets or credentials I haven't provided, ASK me — do not invent values or leave raw placeholders. After adding it, tell me how to verify the server is connected.AI orchestration with hive-mind swarms, neural networks, and 87 MCP tools for enterprise dev.
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