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Benchmarking MCP Proxies in Claude Code: My Findings

I tested six MCP proxies in Claude Code and created a more efficient solution that reduced token usage significantly.

Time saved
0h / week
Setup time
Not stated
Running cost
Not stated
Cost range
Free

The problem it solves

Many MCP proxies claim high token savings, but their performance can be misleading. In practical applications, some proxies may consume more tokens than using no proxy, leading to inefficiencies and task failures.

How it flows
  1. Benchmarking
  2. Token Savings
  3. Proxy Performance
  4. Custom Solution
  5. Task Completion

Step-by-step setup

  1. Select MCP Proxies

    I chose six different MCP proxies to evaluate their performance in Claude Code.

  2. Conduct Benchmark Tests

    I ran tests to measure token usage and task completion rates for each proxy.

  3. Analyze Results

    I found that four proxies used more tokens than no proxy, while two failed to complete tasks.

  4. Develop Custom Router

    Based on my findings, I created my own router that successfully reduced token usage by 13-44%.

  5. Validate Performance

    I tested my custom solution and confirmed it completed all tasks efficiently.

Coding · Advanced
  1. Write migration plan
  2. Agent edits in batches
  3. Tests per batch

Ship a 40-file refactor with a coding agent

Plan, execute and review a cross-cutting refactor in small batches, with Claude Code making the edits and GitHub Copilot reviewing each PR.

Claude Code · GitHub Copilot
Coding · Advanced
  1. Run coverage
  2. Pick 3 riskiest files
  3. Write + run tests

Generate missing unit tests for untested modules

Claude Code reads your coverage report, picks the riskiest untested modules and writes unit tests that pass, one small PR at a time.

Claude Code · GitHub Copilot · Slack
Coding · Intermediate
  1. PR opened
  2. Copilot inline review
  3. Claude risk summary

Automated first-pass review on every pull request

Copilot and Claude review each PR for bugs, missing tests and risky changes before a human looks, so reviewers can focus on design.

GitHub Copilot · Claude · Slack