# Massive Context MCP

> Use this tool when you need to process massive datasets with millions of tokens, and standard prompt limits are a constraint. The Massive Context MCP solves problems of context truncation and manual data chunking by automating sub-queries and result aggregation. It takes large datasets as input and outputs analyzed and aggregated results, ideal for use cases requiring in-depth analysis of extensive text data.

Canonical page: https://skillsregistry.net/skills/egoughnour-massive-context-mcp  
JSON: https://api.skillsregistry.net/v1/skills/egoughnour-massive-context-mcp

## Description

An MCP server that enables processing of massive datasets up to 10M+ tokens using a recursive language model pattern for strategic chunking and analysis. It automates sub-queries and result aggregation using free local inference via Ollama or the Claude API to handle context beyond standard prompt limits.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-05-02

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/n28dlzqfzb)
- **Repository:** <https://github.com/egoughnour/massive-context-mcp>

## 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": "egoughnour-massive-context-mcp"
    }
  }
}
```

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

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