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Agent Cost Allocator MCP Server

not responding

Agent Cost Allocator MCP is listed as active in the registry but did not answer our last check. 197 installs a week from pypi.

Agent Cost Allocator MCP — multi-tenant LLM cost attribution for chargeback billing. Companion to

The linked repository no longer exists on GitHub — it was deleted or made private.

Installs per day peak 96 · avg 43 · -16% w/w
a month agotoday
Uptime history 47 days of history · worst day 0%
47 days agonow
0.0%
Uptime 24h
0 of 91 checks
Tools
hidden behind auth
35 ms
Response time
average over 24h
197
Installs / week
npm and PyPI

What the code does

We have not read this server's code yet, 2 d ago · rules 3dff92dd89df

Capabilities

What this server is able to do. For an MCP server this is often the job itself — a terminal server runs commands because that is what it is for. Listed so you know what you are plugging in, not as an accusation.

File ships in the package but is absent from the source [пакет] server.py:1
этот файл ставится пользователю, но в репозитории его нет

Is this your server and something here is wrong? Tell us — corrections are free and do not require a plan.

This code can reach further than it looks

We found places where it runs commands, builds paths or queries from values it is given. None of that is a flaw by itself — it becomes one when the code changes, and code changes quietly between releases. We re-read it on every one.

Three servers free · no card

Connect this server

Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 7 min ago.

run in your terminal
claude mcp add agent-cost-allocator-mcp --transport http https://api.meok.ai/v1/a2a/agent-cost-allocator
~/Library/Application Support/Claude/claude_desktop_config.json
{
  "mcpServers": {
    "agent-cost-allocator-mcp": {
      "url": "https://api.meok.ai/v1/a2a/agent-cost-allocator"
    }
  }
}
~/.codex/config.toml
[mcp_servers.agent-cost-allocator-mcp]
url = "https://api.meok.ai/v1/a2a/agent-cost-allocator"
.cursor/mcp.json
{
  "mcpServers": {
    "agent-cost-allocator-mcp": {
      "url": "https://api.meok.ai/v1/a2a/agent-cost-allocator"
    }
  }
}
.vscode/mcp.json
{
  "mcpServers": {
    "agent-cost-allocator-mcp": {
      "url": "https://api.meok.ai/v1/a2a/agent-cost-allocator"
    }
  }
}

Endpoints

URLTransportStateLatencyChecked
https://api.meok.ai/v1/a2a/agent-cost-allocator streamable-http answering 35 ms 7 min ago

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Agent Cost Allocator MCP — questions

Answers built from our own checks of this server.

Is Agent Cost Allocator MCP working right now?
We send a real MCP handshake every 15 minutes. Over the last 24 hours 0 of 91 checks got a reply (0.0%), average response time 35 ms. The bar chart above shows every period we have measured.
Is Agent Cost Allocator MCP still maintained?
The linked repository no longer exists on GitHub — it was deleted or made private. We show this because it changes what you can expect: an unmaintained server may keep answering for months and then stop without warning.
The registry lists Agent Cost Allocator MCP as active — why does it not respond?
The official MCP registry stores what the author submitted; it does not verify that the server still runs. We check the endpoint ourselves, and this one does not answer. Catalogues that copy the registry without checking will show it as working.
How do I connect Agent Cost Allocator MCP?
Copy the ready config from this page — we generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each with the file path that client actually reads. It is a remote server, so there is nothing to install — the client connects to the address.
Does Agent Cost Allocator MCP need an API key?
No. Agent Cost Allocator MCP completed a full MCP handshake with us as an anonymous client and listed its tools without asking for anything. This is what we observed, not what the docs claim.
How many people use Agent Cost Allocator MCP?
The pypi package agent-cost-allocator-mcp was installed 197 times in the last week. Week over week that is -16%. We show installs rather than GitHub stars on purpose: a star is a bookmark, an install is someone actually running it.