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"Understanding Code Relationships or Dependencies" matching MCP servers:

  • A
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    Builds rich code graphs from TypeScript/NestJS codebases using AST analysis and Neo4j, enabling semantic search, natural language querying, and intelligent graph traversal to provide deep contextual understanding of code relationships and dependencies.
    114
    16
    MIT
  • A
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    quality
    A
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    Indexes codebases into a SQLite database to provide metadata, exports, dependency graphs, and change tracking for JS/TS projects. It enables users to search for symbols, map internal dependencies, and monitor file changes through MCP tools and a web dashboard.
    68
    4
    MIT
  • F
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    Provides persistent memory capabilities for Claude Code using Neo4j graph database to track development tasks, code patterns, solutions, and their relationships across sessions and projects, enabling contextual assistance and pattern recognition.
    11
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    Provides sub-millisecond access to organizational and engineering data by pre-materializing data into a read-only SQLite database. Enables agents to query people, teams, issues, features, and governance documents without upstream latency or auth.
    1
    MIT
  • A
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    quality
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    maintenance
    Generates realistic, referentially-coherent test data (SQL INSERTs, JSON, or CSV) from your database schema, resolving foreign keys and respecting constraints. Paste CREATE TABLE DDL or a JSON schema and get ready-to-run seed data with valid relationships.
    2
    56
    MIT
  • A
    license
    A
    quality
    A
    maintenance
    Interact with CodeLogic, a Software Intelligence platform that graphs complex code and data architecture dependencies, to boost AI accuracy and insight.
    8
    38
    Mozilla Public 2.0
  • A
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    quality
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    Local-first codebase intelligence engine providing AI coding agents with a typed MCP toolset for understanding and navigating code repositories.
    100
    51
    Apache 2.0
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    quality
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    MCP server that allows Claude AI to interact directly with MySQL databases, enabling query execution and table information retrieval through natural language.
    1
    3
    4
    MIT
  • A
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    Provides LLMs with persistent memory across conversations using a knowledge graph that stores entities, relationships, and observations with support for PostgreSQL or SQLite backends.
    102
    24
    MIT
  • A
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    Enables AI assistants to interact with and manage multiple database types (PostgreSQL, MySQL, SQLite, SQL Server, MongoDB, Redis) through natural language, supporting query analysis, schema management, data analysis, backup/restore, and security analysis.
    7
    2
    MIT
  • A
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    quality
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    Enables LLM clients to analyze and interact with Power BI (.pbix) files, providing access to data models, DAX measures, Power Query code, table relationships, and data contents through natural language.
    MIT
  • A
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    quality
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    maintenance
    Read-only MCP server for genealogy data from Family Tree Builder (.ftb) or GEDCOM files, exposing tools for person search, family relationships, and statistical analysis via HTTP or stdio.
    Apache 2.0
  • A
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    quality
    A
    maintenance
    Indexes local Python code into a Neo4j graph database to provide AI assistants with deep code understanding and relationship analysis. Enables querying code structure, dependencies, and impact analysis through natural language interactions.
    4,076
    MIT