MCP server for BuildShield — AI cost intelligence for agents
Project description
buildshield-mcp
MCP server for BuildShield — AI cost intelligence for agents.
Install
pip install buildshield-mcp
Configure (Claude Desktop / Cursor)
Add to your MCP config (~/.config/claude/claude_desktop_config.json):
{
"mcpServers": {
"buildshield": {
"command": "buildshield-mcp",
"env": {
"BUILDSHIELD_API_KEY": "bsk_..."
}
}
}
}
Get your API key at thebuildshield.com/settings.
buildshield-mcp is the MCP server command. Keep it inside your MCP client
configuration; it waits on stdio and is not meant to print a normal help screen.
Terminal smoke tests
The package also installs CLI wrappers for the same tool handlers:
buildshield_check_cost gpt-4.1 50000 10000
buildshield_get_pricing claude-sonnet-4.6
buildshield_recommend_model "code review" --min-context-tokens 200000
You can also use the grouped command form:
buildshield check-cost gpt-4.1 50000 10000
Tools
| Tool | Description | Requires key? |
|---|---|---|
buildshield_check_cost |
Exact cost for model + token count | No — offline |
buildshield_recommend_model |
Best models for a task with filters | No — offline |
buildshield_get_pricing |
Browse all model pricing | No — offline |
buildshield_optimize_prompt |
Rule-based prompt compression (20-40% savings) | No — offline |
buildshield_check_budget |
Check remaining budget for your API key | Yes |
buildshield_log_usage |
Log usage to your dashboard | Optional |
Examples
"What does claude-sonnet-4.6 cost for 50K input + 10K output tokens?"
→ buildshield_check_cost(model="claude-sonnet-4.6", input_tokens=50000, output_tokens=10000)
"What's the cheapest model with at least 200K context?"
→ buildshield_recommend_model(task="long document analysis", min_context_tokens=200000)
"Compress this system prompt"
→ buildshield_optimize_prompt(text="...", aggressiveness="medium")
Project details
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