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Gvnr

Budget & cost control for AI agents — per-agent spend caps + rate limits before each call.

RUN IN TERMINAL
# See repository for install instructions
ADD TO claude_desktop_config.json
{ "mcpServers": { "devgvnr-gvnr": { "command": "npx", "args": [] } } }
ADD TO .vscode/mcp.json
{ "mcpServers": { "devgvnr-gvnr": { "command": "npx", "args": [] } } }
ADD TO .cursor/mcp.json
{ "mcpServers": { "devgvnr-gvnr": { "command": "npx", "args": [] } } }

TRY THIS MCP

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About This MCP Server

The dev.gvnr/gvnr server is a Model Context Protocol server that provides budget and cost control for AI agents by implementing per-agent spend caps and rate limits. It enables developers to manage and regulate the expenses associated with AI model usage, particularly in remote settings. Developers would use this server to establish and enforce spending limits and rate restrictions before making each call to an AI model, helping to prevent unexpected or excessive costs.

Budget & cost control for AI agents — per-agent spend caps + rate limits before each call.. This is a Model Context Protocol (MCP) server that extends AI assistants like Claude with ai & machine learning capabilities via the streamable-http transport.

HOW TO USE

Select your AI client above to get the install command. This MCP server uses the streamable-http transport.

What tools does it provide?

The Gvnr server extends your AI assistant with ai & machine learning capabilities. Once installed, your AI can use its tools automatically.

DETAILS
README BADGE
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