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Contextcore

Active·★ 21·AGPL-3.0·Updated 2026-05-28
★ Trending★ RAG / Knowledge Base★ Dev Tooling

ContextCore: An MCP server for Claude (or any AI tool) that enables massive token saving through hybrid search (BM25 + Embeddings)

ContextCore is a local-first MCP server that indexes your local files (text, code, images, audio, video) and provides hybrid search (BM25 + embeddings) via a single MCP server. It reduces token usage by 57% compared to pasting entire files. It works with Claude Desktop, Claude Code, Cursor, Cline, and any MCP-compatible tool.

#ai-tools#claude-desktop#claude-tools#cline#clip#context-window#cost-optimization#cursor
$ Install
$ python -m pip install contextcore && contextcore init
↗ Visit site★ GitHub
01

Features

01Local-first, no cloud dependency
02Hybrid search (BM25 + embeddings)
03Indexes multiple file formats including images, audio, video
04Registers as MCP server automatically with AI tools
05Reduces token usage by 57%
02

Compatibility

Windows
Windows
Verified via docs
macOS
macOS
Verified via docs
Linux
Linux
Verified via docs
Claude Desktop
Claude Desktop
Verified via docs
Claude Code
Claude Code
Verified via docs
Cursor
Cursor
Verified via docs
03

Quick start

1
$ python -m pip install contextcore
2
$ contextcore init
04

Use cases

↳Developers working across large codebases to avoid pasting entire files
↳Users with document collections needing semantic search
↳AI tool users wanting to reduce context window bloat
05

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Related searches

Contextcore AlternativesBest RAG / Knowledge Base Tools 2026Open Source RAG / Knowledge BaseContextcore TutorialContextcore Vs Competitorsai-toolsclaude-desktopclaude-tools

Comments

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  • Corey Lee
    Corey LeeMay 14, 2026

    Massive token reduction for Claude through context compression is the practical benefit.

  • R
    Reese ClarkApr 10, 2026

    ContextCore handles what to keep and what to compress intelligently.

  • E
    Emerson NguyenApr 2, 2026

    Good for large codebase workflows where context limits are hit regularly.

  • Robin Chen
    Robin ChenMar 5, 2026

    Works as a transparent layer — your prompts don't need to change.

On this page
01Features02Compatibility03Quick start04Use cases05Alternatives
Stats
GitHub Stars★ 21
Last commit2d ago
StatusActive
LicenseAGPL-3.0
CategoryRAG / Knowledge Base
Trend (30d)
+0.8↑ 0.7%
Links
Documentation↗Discussion↗Issues↗Releases↗

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