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mcp-context-guard

by aaameobius-crypto
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MCP Context Guard — Context Window Management for AI Agents

Compress tool outputs, manage token budgets, deduplicate content, and filter by relevance. Zero dependencies, pure Python stdlib.

The Problem

AI agents waste context window tokens on:

  • Verbose tool outputs (file reads, search results, logs)

  • Duplicate content across tool calls

  • Irrelevant passages that don't match the task

Related MCP server: toonify-mcp

The Solution

MCP Context Guard sits between your tools and the LLM, compressing and filtering everything that enters the context window.

Tools (14)

Tool

What it does

compress

Extractive summarization to N tokens

set_budget

Set a total token budget

check_budget

Check if text fits remaining budget

consume_budget

Deduct tokens from budget

deduplicate

Remove near-duplicate texts (Jaccard similarity)

extract_key

Extract top-N key sentences

truncate_smart

Truncate at sentence boundaries

chunk

Split into token-sized chunks with overlap

token_count

Estimate token count (word-based heuristic)

summarize_history

Compress conversation messages

filter_relevant

BM25 relevance scoring, return top-K passages

merge_context

Combine sources with dedup + compression

get_stats

Context usage statistics

reset

Reset all state

Install

git clone https://github.com/aaameobius-crypto/mcp-context-guard.git
cd mcp-context-guard
python -m src.server --stdio

Tests

python -m pytest tests/ -v  # 36 tests, all passing

Inspiration

License

MIT — AMEOBIUS

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license - permissive license
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quality - not tested
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maintenance

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