Using Cline as a Knowledge Graph for Coding MCP servers

"Using Cline as a Knowledge Graph for Coding" matching MCP servers:

• mcp-knowledge-graph

  shaneholloman

  A

  security

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  license

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  quality

  An improved implementation of persistent memory using a local knowledge graph with a customizable --memory-path. This lets Claude remember information about the user across chats.

  Last updated 2 months ago

  9

  208

  776

  MIT

• No-as-a-Service (NoaaS)

  Koneisto

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  security

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  license

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  quality

  Provides over 1,000 creative ways to decline requests across four categories (polite, humorous, professional, and creative). The MCP server wraps a REST API to help users craft professional rejections through natural language interactions.

  Last updated 17 days ago

  14

  MIT

• Knowledge Graph Memory Server

  itseasy21

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  security

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  license

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  quality

  An implementation of persistent memory for Claude using a local knowledge graph, allowing the AI to remember information about users across conversations with customizable storage location.

  Last updated 6 months ago

  11

  951

  57

  JavaScript

  MIT

• Knowledge Graph MCP Server

  aiuluna

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  security

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  license

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  quality

  Enables creating, managing, analyzing, and visualizing knowledge graphs with support for multiple graph types (topology, timelines, changelogs, requirements, knowledge bases, ontologies) including node/edge management and resource association.

  Last updated 10 months ago

  15

  14

  1

  MIT

• Knowledge Graph Memory Server

  deanacus

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  security

  F

  license

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  quality

  A persistent memory server that implements a local knowledge graph using the Kuzu embedded database to store entities, relationships, and observations. It enables AI models to maintain structured long-term context through searchable nodes and comprehensive tag-based organization.

  Last updated 7 months ago

  3

• Cardiology Knowledge Graph MCP

  ryoureddy

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  security

  F

  license

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  quality

  Builds and manages a cardiology-focused knowledge graph in Neo4j by extracting medical entities and relationships from documents using LLMs. It enables users to ingest PDFs, refine extracted data, and perform natural language queries to gain clinical insights.

  Last updated 7 months ago