# mcp-context-dedup

> mcp-context-dedup — prasadabhishek-mcp-context-dedup. Use this tool when you need to compress and simplify verbose MCP output, solving the problem of excessive token usage in LLM prompts. It takes in MCP output as input and produces a deduplicated and summarized version as output, achieving significant token savings. Ideal for use cases where concise prompt formatting is essential, such as optimizing language model performance.

Canonical page: https://skillsregistry.net/skills/prasadabhishek-mcp-context-dedup  
JSON: https://api.skillsregistry.net/v1/skills/prasadabhishek-mcp-context-dedup

## Description

Compresses verbose MCP output by deduplicating repeated lines and summarizing JSON arrays, achieving 60-80% token savings for LLM prompts.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/yh7jgpityt)
- **Repository:** <https://github.com/prasadabhishek/mcp-context-dedup>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "prasadabhishek-mcp-context-dedup"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/prasadabhishek-mcp-context-dedup` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/prasadabhishek-mcp-context-dedup/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt