MCPSpend
★ 71
vs
registry
★ 32
MCPSpend vs registry
MCPSpend: MCPSpend provides real-time cost tracking for every MCP tool call across popular AI agent environments including Cursor, Claude Desktop, Windsurf, and VS Code. It offers a free tier of 25,000 tool calls per month and three ways to query usage: a web dashboard, an MCP server, and an HTTP API.; registry: MCP Armory Registry provides production-ready MCP servers for popular APIs, generated from OpenAPI specs. Each server is a standalone Python package tested against live APIs. Hosted on MCP Armory or run independently.
01
TL;DR
MCPSpendObservability · ★ 71
Monitor and optimize AI agent spending
registryDev Tooling · ★ 32
Connect AI agents to real-world APIs for autonomous task execution
02
Side-by-Side Comparison
Field
MCPSpendregistryCategory
Observability
Dev Tooling
Stars
★ 71
★ 32
License
MIT
NOASSERTION
Install Command
npx --yes @mcpspend/proxy@latest init --key mcps_live_xxx
pip install mcparmory-github && mcparmory-github
Updated
1mo ago
5mo ago
Open Source
Yes
Yes
Tags
ai-agents, ai-observability, claude-desktop
ai-agents, ai-tools, api-integration
03
Features
MCPSpend01Real-time cost tracking for MCP tool calls
02Auto-detects and wraps configured MCP servers in popular clients
03Privacy-first: does not send tool arguments or responses
04Multiple query methods: web dashboard, MCP server, HTTP API
05Free tier with 25,000 calls per month
registry01Full API coverage — all endpoints from the OpenAPI spec are exposed as MCP tools
02Authentication — API key, Bearer token, Basic auth, OAuth2, JWT, OpenID Connect, and mutual TLS
03Multi-auth — servers that support multiple auth methods let you configure whichever you prefer
04Pydantic validation — request parameters are validated before sending to the API
05Resilience — configurable retries with exponential backoff, connection pooling, and timeouts
04
Use Cases
MCPSpend↳Monitor and optimize AI agent spending
↳Budget and alert on MCP tool usage
↳Analyze cost and performance per tool and server
registry↳Connect AI agents to real-world APIs for autonomous task execution
↳Quickly deploy a production-ready MCP server for a popular API without manual coding
↳Simplify API integration for MCP-compatible clients like Claude Desktop or Cursor
FAQ
FAQ
What is the difference between MCPSpend and registry?
Both MCPSpend and registry are in the Observability category. MCPSpend has 71 stars, while registry has 32 stars.
Which is better, MCPSpend or registry?
The best choice depends on your use case. Choose MCPSpend if Monitor and optimize AI agent spending, and registry if Connect AI agents to real-world APIs for autonomous task execution.
Is MCPSpend free or open source?
Yes, MCPSpend is open source on GitHub (MIT).
Is registry free or open source?
Yes, registry is open source on GitHub (NOASSERTION).
Cloud Infrastructure
AdDeploy on DigitalOcean
Host your MCP servers, Docker containers, and AI agents with $200 free credit over 60 days.
→