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MCP Context Budget
Measure and cap MCP context bloat before agents run
MCP Context Budget is a local-first, MIT-licensed CLI that measures how much context MCP servers and tools consume, selects a lean task-relevant tool set, writes a lockfile, and fails CI when schema or response-token budgets regress.
I built MCP Context Budget after seeing coding-agent sessions lose useful context before the actual task even started.
The problem is subtle: connect enough MCP servers and the tool definitions alone can consume thousands of tokens. Then tool responses add another layer of context pressure. By the time the agent starts working, part of the context window is already gone.
This tool treats MCP context usage like build infrastructure:
* scan MCP tool definitions
* estimate schema-token and response-token cost separately
* select a smaller task-relevant tool set
* write a lockfile
* fail CI when the budget regresses
It is local-first, MIT licensed, and has a dependency-free core. No hosted service, no proxy, nothing leaves your machine unless you explicitly use optional local Ollama ranking.
The goal is simple: make context bloat visible in review, not mid-session.
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About MCP Context Budget on Product Hunt
“Measure and cap MCP context bloat before agents run”
MCP Context Budget was submitted on Product Hunt and earned 5 upvotes and 1 comments, placing #84 on the daily leaderboard. MCP Context Budget is a local-first, MIT-licensed CLI that measures how much context MCP servers and tools consume, selects a lean task-relevant tool set, writes a lockfile, and fails CI when schema or response-token budgets regress.
MCP Context Budget was featured in Open Source (68.6k followers), Developer Tools (515k followers), Artificial Intelligence (472.4k followers) and GitHub (41.3k followers) on Product Hunt. Together, these topics include over 214.7k products, making this a competitive space to launch in.
Who hunted MCP Context Budget?
MCP Context Budget was hunted by Dan Mercede. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
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Dan Mercede