# BigContext MCP

> Use this tool when you need to efficiently process and analyze large documents, overcoming context window saturation and extracting relevant information. BigContext MCP solves problems related to document analysis, semantic search, and information retrieval, providing 31 domain-agnostic tools for various formats like PDF, EPUB, and HTML. It takes in large documents as input and outputs relevant fragments and analysis results, making it ideal for use cases requiring intelligent document segmentation and search.

Canonical page: https://skillsregistry.net/skills/rixmerz-bigcontext-mcp  
JSON: https://api.skillsregistry.net/v1/skills/rixmerz-bigcontext-mcp

## Description

Enables working with large documents of any size by intelligently segmenting them and using TF-IDF search to retrieve only relevant fragments, preventing context window saturation. Provides 31 domain-agnostic tools for document ingestion, semantic analysis, epistemological validation, and extraction verification across formats like PDF, EPUB, and HTML.

## Trust

- **Trust score (0–1):** 0.73
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/msecv6rzwh)
- **Repository:** <https://github.com/Rixmerz/bigcontext_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": "rixmerz-bigcontext-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/rixmerz-bigcontext-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/rixmerz-bigcontext-mcp/pull`

---
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