Apipriceindex MCP vs Tokencast
A side-by-side look at the Apipriceindex MCP and Tokencast MCP servers: transport, auth, tools, quality signals, and the config to install either one in Claude, Cursor, Windsurf or VS Code.
Verdict: choose Apipriceindex MCP for conversational ai work as a local process; choose Tokencast for conversational ai as a local process. You can also run both side by side in one mcpServers block.
Which MCP server should you choose?
Choose Apipriceindex MCP when
- You need dedicated capabilities in the Conversational AI domain.
- You prefer a local stdio subprocess transport.
- You want tools like
search_models, get_price, estimate_cost.
Choose Tokencast when
- You need dedicated capabilities in the Conversational AI domain.
- You prefer a local stdio subprocess transport.
- You want tools like
estimate_cost, get_calibration_status, get_cost_history.
Feature & specification comparison
Rows where the two servers differ are marked.
| Spec | ||
|---|---|---|
| Category | Conversational AI | Conversational AI |
| Quality signal | 48/100 · Fair | 48/100 · Fair |
| Install command | Confirmed | Confirmed |
| Transport | Local subprocess (stdio) | Local subprocess (stdio) |
| Auth | Not declared | Not declared |
| Pricing | Not declared | Not declared |
| Required env vars | None listed | None listed |
| Verified owner | Community listing | Community listing |
| GitHub stars | 0 | 2 |
| Directory activity | 1 views 0 installs 0 upvotes | 1 views 0 installs 0 upvotes |
| Tools | 3 | 5 |
| Full listing | View Apipriceindex MCP | View Tokencast |
Tools & capabilities
Apipriceindex MCP tools 3
search_modelsFind model ids by name/provider, filter by context window or open weightsget_priceVerified price of one model: input/output/cached input USD per Mtok, `verified_at`, `confidence`, sourceestimate_costMonthly bill of a workload; ranks chosen models — or the whole catalog — cheapest first
Tokencast tools 5
estimate_costEstimate API cost for a planned task before running itget_calibration_statusCheck whether your estimates are well-calibratedget_cost_historyBrowse past estimates vs actualsreport_sessionReport actual cost at session end to improve calibrationreport_step_costRecord the cost of a single pipeline step during a session
Ready-to-paste client configs
Paste either block (or both) into your client config, e.g. claude_desktop_config.json or ~/.cursor/mcp.json. We only show a config when the install command is confirmed.
Apipriceindex MCP
{
"mcpServers": {
"mcp-281": {
"command": "uvx",
"args": [
"apipriceindex-mcp"
]
}
}
}
Tokencast
{
"mcpServers": {
"tokencast": {
"command": "uvx",
"args": [
"tokencast"
]
}
}
}
Frequently asked questions
Apipriceindex MCP is categorized under Conversational AI and uses a local stdio subprocess. Tokencast belongs to Conversational AI and uses a local stdio subprocess. Pick Apipriceindex MCP for conversational ai work and Tokencast for conversational ai.
Copy the mcpServers block from the config section on this page into your client's config (for example claude_desktop_config.json or ~/.cursor/mcp.json), then fully restart the client.
Apipriceindex MCP has no declared pricing — check the project's own site. Tokencast has no declared pricing — check the project's own site. If a server needs environment variables such as API keys, define them under the env key in your client's MCP config.
Yes. MCP clients support multiple servers: add mcp-281 and tokencast as separate keys in the same mcpServers object, and your assistant will call tools from either one.
On AllMCPs, Apipriceindex MCP has a quality signal of 48/100 (Fair) with 1 views, 0 installs and 0 GitHub stars. Tokencast has 48/100 (Fair) with 1 views, 0 installs and 2 GitHub stars.