
AI Agent Cost & Tools Hub MCP server
Which MCP servers are AI Agent Cost & Tools Hub's own, from the official registry and from asking its own domain, whether they answer, and what they offer. A program checked each of these, nobody copied them from a product page.
read 2026-11-01
- Registry namecom.agentcosthub/agent-cost-hubverified in the MCP registry
The registry name sits under agentcosthub.com. The registry only lets a publisher use that namespace after proving control of the domain through DNS or HTTP.
- Stateanswerschecked 2026-11-01
- Tools5
- Server calls itselfagentcosthub
- Server version0.1.0
- Protocol version2025-06-18
On 2026-11-01 the server answered initialize and tools/list without a sign-in. First answer in 140 ms.
- Whether its tools do the product's job has not been judged yet.
- Checked on 2 of the 7 days it takes to judge reliability.
Once connected
- For "check current model list prices per million tokens", the likely first call is list_models.
- Parameters are untyped or undescribed in 2 of 5 tools: check arguments before calling.
Said by rules from the measurements above. The likely first call is a model's pick from the tool list; read its description before relying on it.
- INITE MCP scoreafter a weeka score needs 7 daily checks: 2 so far
- Answeredmeasuring2 of the 7 daily checks it takes to print a share
- Median first answer129 ms
- Space in an agent's context≈ 990 tokensthe definitions of all its tools (5), which an agent carries on every turn
- Tool definitionsA · 93 of 100
- Typed results0 of 5 toolsdeclared outputSchema: results come typed, read once
- Parameters without a description: in 2 of 5
What an agent can do with it
- not sure · compare monthly bills across dozens of language models
- not sure · project agent running costs from steps per task
- can do · check current model list prices per million tokens
Each of the product's use cases, put to Jev against this server's tool list: can an agent do it with these tools?
Worth a look
None of the five warning signs in these definitions.
A program checks the server once a day: initialize and tools/list, no model. Tokens are the definitions' length at about four characters a token. The grade averages six checks of every tool's name, description, schema and annotations; it says how well the tools are described, not whether they work. The score weighs what was measured and nothing else: answering (25%), doing the product's job (25%), definitions (20%), context (10%), use (10%) and how readily a client connects (10%). A part that was not measured is left out, and a hidden instruction caps the score at 40. The state of vendors' MCP servers: method and numbers →
list_modelsList LLMs tracked by Agent Cost Hub with API list prices per 1M tokens. Optional filter by provider or text.
get_model_priceCurrent API list price of one model (input, output, cached input per 1M tokens) plus example monthly agent costs.
estimate_costEstimate the monthly API cost of an AI agent or chatbot on one model. Easiest: pass model + preset (chatbot, rag, coding_agent, research_agent). Or give input_tokens, output_tokens and calls_per_day (plus optional steps_per_task…
compare_modelsCompare 2-5 models on price and (optionally) on the monthly cost of one workload.
cheapest_models_forRank models by monthly cost for a workload. Use a preset (chatbot, rag, coding_agent, research_agent) or give token numbers.
How to connect
Add the server to your MCP client config. Claude Desktop, Cursor and most other clients read this shape:
{
"mcpServers": {
"agent-cost-hub": {
"type": "http",
"url": "https://agentcosthub.com/mcp"
}
}
}Add it
Claude Code, in a terminal
claude mcp add --transport http agentcosthub https://agentcosthub.com/mcpclaude.ai, ChatGPT and other clients: add https://agentcosthub.com/mcp as a custom connector in the settings.
Each line is something a program found when it went looking: the registry entry, the server's own answer, a spec that parses. A missing line means we did not find it, not that it does not exist.
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