MCP server
MCP Server
Give your agent live LLM pricing as callable tools — look up what a model costs, compare models to find a cheaper one, estimate a job before running it, and check what is being retired.
Endpoint
https://agentcost.tech/api/mcp
Streamable HTTP. Public — no credentials, no sign-up. Protocol revisions 2026-07-28, 2025-06-18, 2025-03-26, so both the current stateless revision and the older handshake era work.
Connect
Claude Code
Add the remote server from the terminal.
claude mcp add --transport http agentcost https://agentcost.tech/api/mcp
Claude Desktop, Cursor, Windsurf and other config-file clients
Add an entry under mcpServers in the client's config file.
{
"mcpServers": {
"agentcost": {
"type": "http",
"url": "https://agentcost.tech/api/mcp"
}
}
}Anything else that speaks MCP
Point any MCP client at the endpoint over Streamable HTTP. No install step, no API key, no OAuth flow.
https://agentcost.tech/api/mcp
Tools
list_models
Search the public AgentCost catalogue of LLM models and their per-1,000-token rates. Filter by provider and/or a substring of the model name. Use this to compare model costs or find a cheaper alternative. Returns rates in USD; no credentials required.
- provider
- Provider slug to filter by, e.g. openai, anthropic, google, aws, azure.
- query
- Case-insensitive substring to match against the model name, e.g. 'sonnet' or 'gpt-4'.
- limit
- Maximum models to return. Results are sorted cheapest-input-first.
get_model_pricing
Look up the per-1,000-token rates for a single named model. Resolves the name exactly, then case-insensitively, then by provider-prefixed suffix (so 'gpt-4o' finds 'azure/gpt-4o'). Use this when you already know which model you are pricing.
- model*
- Model name as the provider spells it, e.g. gpt-4o or claude-sonnet-4-6.
estimate_cost
Work out the USD cost of one or more LLM calls before making them, from the current catalogue. Give a model and the token counts involved. Use `calls` to price a whole job rather than a single call. Cached input tokens bill at the provider's cached rate when one is published and at the full input rate when it is not; the result reports which happened.
- model*
- Model name, e.g. gpt-4o.
- input_tokens*
- Prompt tokens per call.
- output_tokens*
- Completion tokens per call.
- cached_input_tokens
- Prompt tokens served from the provider's cache, per call.
- cache_write_tokens
- Tokens written into the prompt cache, per call.
- calls
- How many identical calls to price. Use this to cost a whole job.
list_model_deprecations
List models with an upstream-announced retirement date, soonest first. Use this to check whether a model a user depends on is being retired, or to avoid recommending one that is.
- provider
- Optional provider slug to filter by.
- limit
* required
What it does not do
These tools read the public pricing catalogue only. They cannot see your own spend, projects or budgets — that needs an authenticated account and the REST API. Nothing here writes anything, so every tool is safe to call speculatively.
Verify it
curl -sX POST https://agentcost.tech/api/mcp \
-H "Content-Type: application/json" \
-H "MCP-Protocol-Version: 2026-07-28" \
-H "Mcp-Method: tools/list" \
-d '{"jsonrpc":"2.0","id":1,"method":"tools/list","params":{}}'Related: REST API reference · Versioning & deprecation policy · OpenAPI spec