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Move Context Processor to Community Servers section
The reviewer requested moving Context Processor from Official Integrations to Community Servers section, as it is a community-developed server rather than an official company integration.
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README.md

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@@ -164,7 +164,6 @@ Official integrations are maintained by companies building production ready MCP
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- <img height="12" width="12" src="https://configcat.com/favicon.ico" alt="ConfigCat Logo" /> **[ConfigCat](https://github.com/configcat/mcp-server)** - Enables AI tools to interact with [ConfigCat](https://configcat.com), a feature flag service for teams. Supports managing ConfigCat feature flags, configs, environments, products and organizations. Helps to integrate ConfigCat SDK, implement feature flags and remove zombie (stale) flags.
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- <img height="12" width="12" src="https://www.confluent.io/favicon.ico" alt="Confluent Logo" /> **[Confluent](https://github.com/confluentinc/mcp-confluent)** - Interact with Confluent Kafka and Confluent Cloud REST APIs.
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- <img height="12" width="12" src="https://github.com/mattjoyce.png" alt="Construe Logo" /> **[Construe](https://github.com/mattjoyce/mcp-construe)** - FastMCP server for intelligent Obsidian vault context management with frontmatter filtering, automatic chunking, and secure bidirectional knowledge operations.
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- <img height="12" width="12" src="https://raw.githubusercontent.com/mschultheiss83/context-processor/main/.github/favicon.svg" alt="Context Processor Logo" /> **[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.
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- <img height="12" width="12" src="https://ginylil.com/favicon.ico" alt="Ginylil Logo" /> **[Context Templates](https://github.com/ginylil/context-templates)** - An open-source collection of reusable context templates designed to assist developers in structuring prompts, configurations, and workflows across various development tasks. Community contributions are encouraged to expand and refine available templates.
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- <img src="https://contrastsecurity.com/favicon.ico" alt="Contrast Security" width="12" height="12"> **[Contrast Security](https://github.com/Contrast-Security-OSS/mcp-contrast)** - Brings Contrast's vulnerability and SCA data into your coding agent to quickly remediate vulnerabilities.
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- <img height="12" width="12" src="https://www.convex.dev/favicon.ico" alt="Convex Logo" /> **[Convex](https://stack.convex.dev/convex-mcp-server)** - Introspect and query your apps deployed to Convex.
@@ -687,6 +686,7 @@ A growing set of community-developed and maintained servers demonstrates various
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- **[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
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- **[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.
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- **[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.
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- **[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.
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- **[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.
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- **[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.
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- **[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.

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