tokencast runs on your own machine — the client starts it, so there is no endpoint to ping. 41 installs a week from pypi. Last commit 8 Apr 2026.
Pre-execution cost estimation for LLM agent workflows with calibration learning
We read the source, 21 h ago · rules 3dff92dd89df
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.
proc = subprocess.run(
Is this your server and something here is wrong? Tell us — corrections are free and do not require a plan.
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.
This server runs on your own machine — install it with the package manager and the client starts it for you. Package name taken from the official registry entry.
claude mcp add tokencast -- uvx tokencast
{
"mcpServers": {
"tokencast": {
"args": [
"tokencast"
],
"command": "uvx"
}
}
}
[mcp_servers.tokencast]
command = "uvx"
args = ["tokencast"]
{
"mcpServers": {
"tokencast": {
"args": [
"tokencast"
],
"command": "uvx"
}
}
}
{
"mcpServers": {
"tokencast": {
"args": [
"tokencast"
],
"command": "uvx"
}
}
}
Provable, declarative multi-agent workflows for Claude Code (typed .slang, non-LLM executor).
Static worst-case token-budget analysis for LLM-agent workflows + signed budget certificates.
Verification and memory layer for coding-agent workflows.
Real-time cost awareness for MCP agent workflows
MCP server for agent task workflows with phases, prompts, gates, and multi-agent coordination
AI-powered Kanban TUI for autonomous development workflows with agent orchestration
Command wrapper MCP server for coding agents, compression, workflows, and local automation.
Inter-agent communication for multi-agent Claude Code workflows.
Answers built from our own checks of this server.