Skip to main content
Glama
Sign In
Cortex MCP

Cortex MCP

by BasharAmso
OverviewSchemaSourceRelated ServersDiscussionsAdmin
TypeScript

Related Servers

Alternatives to Cortex MCP

No user-submitted related servers found.

    Related Servers

    • Skill7

      Abderraouf-yt
      A
      license
      A
      quality
      D
      maintenance
      Provides 634+ curated production-ready AI skills for any MCP-compatible client, covering areas like security, frontend, backend, infrastructure, AI/ML, and architecture. Enables AI agents to access best practices, patterns, and solutions across multiple domains.
      6
      12 npm
      1
      MIT

    • knowlib

      uladzimir23
      A
      license
      Not graded
      quality
      C
      maintenance
      Enables LLM agents to query a structured knowledge library for search, explanations, related concepts, learning paths, examples, and cross-domain references via MCP.
      Apache 2.0

    • SkillHub MCP

      artuntan
      A
      license
      A
      quality
      D
      maintenance
      Enables AI assistants to search, discover, and get recommendations from 20,000+ skills, tools, agents, rules, and MCP servers.
      5
      25 npm
      1
      MIT

    • getagentictools MCP server

      dmoka
      A
      license
      Not graded
      quality
      C
      maintenance
      Enables searching and retrieving details of 41,000+ agent skills, MCP servers, Claude Code plugins, and agentic loops from any MCP-capable agent.
      MIT

    • Librarian

      arcadeai-labs
      A
      license
      Not graded
      quality
      C
      maintenance
      Provides AI agents with persistent knowledge storage, enabling them to store, search, and retrieve text, documents, and files using semantic and keyword search via MCP tools.
      33
      Apache 2.0
    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

    A4.3/5.0

    Scored across 6 tools

    Disambiguation5/5

    Each tool serves a unique, clearly defined purpose: search, retrieval, browsing, project detection, category listing, and metrics. There is no overlap or ambiguity.

    Naming Consistency5/5

    All tool names follow a consistent 'verb_noun' pattern (e.g., search_knowledge, get_fragment), making the API predictable and easy to learn.

    Tool Count5/5

    With 6 tools, the server is well-scoped for a knowledge management service. Each tool is essential, covering discovery, retrieval, and analysis without bloat or deficiency.

    Completeness5/5

    The tool surface covers the full knowledge workflow: project detection, library browsing, searching, fragment retrieval, category overview, and search analytics. No obvious gaps exist for the stated purpose.

    Maintenance

    ActivityInactive
    ResponsivenessOutdated data

    Resources