mksglu/context-mode

Health v2 · maintenance only

Flags: no_license

Adoption not part of the score

20167 stars · 1461 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

An open-source MCP plugin that optimizes AI coding agent context windows by intercepting large tool outputs, storing them in a local FTS5 index, and letting the agent search instead of re-sending raw data. It also persists session memory and enforces routing across 17 AI platforms including Claude Code, Cursor, Copilot, and Codex.

Use cases

• reduce token usage in claude code
• stop ai agent from burning context window
• sandbox tool output for llm agents
• persist session memory across ai coding sessions
• make copilot or cursor use fewer tokens
• search tool output instead of resending it
• optimize mcp server context
• cut llm api costs for coding agents

When to choose

• you use AI coding agents heavily and hit context window limits
• you want to reduce LLM input token costs from repeated tool output
• you need session memory persistence across agent resets
• you work across multiple AI coding tools and want consistent context handling

When to avoid

• you need a permissively licensed dependency (it uses Elastic License 2.0)
• you want a fully managed cloud analytics platform rather than a local plugin
• your agent workflows involve minimal tool output and context is not a bottleneck

Facets

plugin · maturity active

mcp caching search-engine developer-tools llm-inference developer-tools large-language-models cli cross-platform context-window-optimization mcp-server claude-code ai-coding-agents token-savings session-memory tool-output-sandboxing fts5 cursor copilot ai-agents nodejs docker

Member repositories

For agents

markdown · JSON · MCP: product_card(name="mksglu/context-mode")