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@@ -695,6 +695,7 @@ A growing set of community-developed and maintained servers demonstrates various
 - **[consult7](https://github.com/szeider/consult7)** - Analyze large codebases and document collections using high-context models via OpenRouter, OpenAI, or Google AI -- very useful, e.g., with Claude Code
 - **[Contentful-mcp](https://github.com/ivo-toby/contentful-mcp)** - Read, update, delete, publish content in your [Contentful](https://contentful.com) space(s) from this MCP Server.
 - **[Context Crystallizer](https://github.com/hubertciebiada/context-crystallizer)** - AI Context Engineering tool that transforms large repositories into crystallized, AI-consumable knowledge through systematic analysis and optimization.
+- **[Context Processor](https://github.com/mschultheiss83/context-processor)** - Intelligent context management with configurable pre-processing strategies (clarify, analyze, search, fetch) for enhancing content clarity, searchability, and metadata extraction.
 - **[context-portal](https://github.com/GreatScottyMac/context-portal)** - Context Portal (ConPort) is a memory bank database system that effectively builds a project-specific knowledge graph, capturing entities like decisions, progress, and architecture, along with their relationships. This serves as a powerful backend for Retrieval Augmented Generation (RAG), enabling AI assistants to access precise, up-to-date project information.
 - **[cplusplus-mcp](https://github.com/kandrwmrtn/cplusplus_mcp)** - Semantic C++ code analysis using libclang. Enables Claude to understand C++ codebases through AST parsing rather than text search - find classes, navigate inheritance, trace function calls, and explore code relationships.
 - **[CRASH](https://github.com/nikkoxgonzales/crash-mcp)** - MCP server for structured, iterative reasoning and thinking with flexible validation, confidence tracking, revision mechanisms, and branching support.