Skip to main content
Glama
fkesheh

mcp-kg-skills

by fkesheh
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Local

Related Servers

Alternatives to mcp-kg-skills

No user-submitted related servers found.

    Related Servers

    • Code Graph Knowledge System

      royisme
      F
      license
      Not graded
      quality
      C
      maintenance
      Transforms code repositories and development documentation into a queryable Neo4j knowledge graph, enabling AI assistants to perform intelligent code analysis, dependency mapping, impact assessment, and automated documentation generation across 15+ programming languages.
      7
      -

    • RAG MCP Server

      ali-48
      F
      license
      C
      quality
      D
      maintenance
      Combines a knowledge graph with RAG (Retrieval-Augmented Generation) capabilities for semantic code indexing and search. Enables creating entity relationships, managing observations, and performing semantic searches across indexed codebases.
      13
      -

    • Neo4j MCP Server

      vpro1032
      A
      license
      Not graded
      quality
      D
      maintenance
      Enables AI assistants to interact with Neo4j graph databases through natural language, supporting Cypher queries, schema management, data manipulation, and graph algorithms.
      MIT

    • Neo4j Knowledge Graph

      mjftw
      F
      license
      Not graded
      quality
      D
      maintenance
      Enables storage and retrieval of knowledge in a graph database format, allowing users to create, update, search, and delete entities and relationships in a Neo4j-powered knowledge graph through natural language.
      5
      -
    Deploy Server
    One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

    TDQS

    A4.1/5.0

    Scored across 5 tools

    Disambiguation5/5

    Each tool has a clearly distinct responsibility: nodes manages node CRUD, relationships manages edges, env handles environment variables, execute runs scripts, and query performs read-only graph queries. No overlap in purposes.

    Naming Consistency5/5

    All tool names are single lowercase words—nodes, relationships, env, execute, query. While some are nouns and some are verbs, the naming convention is perfectly uniform and predictable.

    Tool Count5/5

    Five tools is an ideal count for this domain. Each tool covers a essential aspect of the knowledge graph skill management workflow, and none feel redundant or missing.

    Completeness5/5

    The tool set provides full CRUD for nodes, create/delete/list for relationships, env management, script execution, and graph querying. This is a complete lifecycle covering all obvious operations for the server's purpose.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues

    Resources