io.github.egoughnour/massive-context-mcp

MCPcommunity
v3.0.1io.github.egoughnourUnknownUpdated 5mo agoGitHub

Handles 10M+ token contexts with chunking, sub-queries, and local Ollama inference.

Handle massive contexts (10M+ tokens) with chunking, sub-queries, and free local inference via Ollama. Based on the Recursive Language Model pattern. Inspired by richardwhiteii/rlm. Instead of feeding massive contexts directly into the LLM: 1. Load context as external variable (stays out of prompt) 2. Inspect structure programmatically 3. Chunk strategically (lines, chars, or paragraphs) 4.…

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5mo agoLast update
Package
Authorio.github.egoughnour
LicenseUnknown
Version3.0.1
Sourcemcp-registry
GitHubegoughnour/massive-context-mcp
Trust Status
B
60/100Good
✓Listed in Forge index+10/10
—Publisher identity verified+0/25
→ Publisher: run `forge publish` from the package repo to claim ownership
—Ed25519 publish signature+0/10
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✓CVE scan · clean+30/30
✓Static analysis · clean+20/20
—npm provenance (Sigstore)+0/5
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StatusCommunity-indexed
PublisherUnverified
SignatureUnsigned
Domain—
Provenance—
DependenciesNot audited
Tool surface—
Security scan✓ Cleanv3.0.1 · 19d ago
EvalsNone
IndexedJun 13, 2026

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About

Handle massive contexts (10M+ tokens) with chunking, sub-queries, and free local inference via Ollama. Based on the Recursive Language Model pattern. Inspired by richardwhiteii/rlm. Instead of feeding massive contexts directly into the LLM: 1. Load context as external variable (stays out of prompt) 2. Inspect structure programmatically 3. Chunk strategically (lines, chars, or paragraphs) 4. Sub-query recursively on chunks 5. Aggregate results for final synthesis Option 1: PyPI (Recommended)…

Keywords
mcp