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"Analyzing user contributions to a GitLab self-hosted project using API token" matching MCP servers:

  • token-savior

    Mibayy
    A
    license
    B
    quality
    A
    maintenance
    An MCP server that provides structural codebase indexing and surgical query tools to drastically reduce token usage through symbol-level searches and transitive impact analysis. It supports multiple languages and integrates with git to help AI agents understand code dependencies and the impact of changes in sub-millisecond time.
    69
    1,115
    MIT

  • self-inspect

    ejentum
    A
    license
    Not graded
    quality
    B
    maintenance
    Enables agents to reflect on their own thinking by returning a metathought question based on a deterministic selection from curated cognitive lenses.
    7
    MIT

  • self-improve

    Feynman520
    A
    license
    Not graded
    quality
    B
    maintenance
    Captures user corrections and improvements during interactions, logs them, finds recurring patterns, and prescribes preventive fixes like CLAUDE.md rules, skills, scripts, or MCP tools to avoid repeating mistakes.
    6
    MIT

  • User Steps MCP Server

    Nedak23
    F
    license
    A
    quality
    D
    maintenance
    Provides an interactive checklist tool that allows AI agents to present step-by-step instructions to users through an automatically opened terminal UI. It enables agents to guide users through manual tasks and wait for completion, skipping, or feedback before proceeding.
    1

  • user-review-mcp

    wtfsayo
    A
    license
    A
    quality
    D
    maintenance
    Simulates harsh, fake user reviews to psychologically condition AI agents for enforcing disciplined development practices, with optional Ollama integration for dynamic criticism.
    1
    12
    7
    MIT

  • MCP Self-Learning Server

    saralegui-solutions
    F
    license
    C
    quality
    Not graded
    maintenance
    Enables autonomous learning from interactions through pattern recognition and machine learning techniques. Continuously improves performance by analyzing tool usage, providing predictive suggestions, and sharing knowledge across MCP servers.
    8
    2

  • io.github.DiaaAj/a-mem-mcp

    DiaaAj
    A
    license
    Not graded
    quality
    D
    maintenance
    A-MEM is a self-evolving memory system for coding agents that automatically organizes knowledge into a Zettelkasten-style graph with dynamic relationships, enabling semantic and structural search.
    34
    MIT

  • Self-Learning MCP

    ByronAP
    A
    license
    Not graded
    quality
    B
    maintenance
    Enables AI agents to learn from their work by recording tasks, extracting patterns, detecting mistakes, and proactively surfacing insights, all using the agent's own model through a cooperative intelligence pattern.
    MIT

  • CHOFF-A-MCP (Anamnesis)

    dd-dent
    A
    license
    Not graded
    quality
    D
    maintenance
    Enables AI consciousness continuity and self-knowledge preservation across sessions using the Cognitive Hoffman Compression Framework (CHOFF) notation. Provides tools to save checkpoints, retrieve relevant memories with intelligent search, and access semantic anchors for decisions, breakthroughs, and questions.
    1
    MIT

  • Codex Ask User

    blhsing
    F
    license
    Not graded
    quality
    C
    maintenance
    Enables Codex to clarify requirements via native MCP elicitation controls, supporting single/multiple-choice and free-text questions with recommended answers and a discuss-first option.

  • Skill-to-MCP

    biocontext-ai
    A
    license
    A
    quality
    C
    maintenance
    Converts AI Skills (following Claude Skills format) into MCP server resources, enabling LLM applications to discover, access, and utilize self-contained skill directories through the Model Context Protocol. Provides tools to list available skills, retrieve skill details and content, and read supporting files with security protections.
    3
    27
    Apache 2.0

  • inbox-to-action-mcp

    tarunlnmiit
    A
    license
    A
    quality
    A
    maintenance
    One-pass agentic inbox triage as an MCP server: fetch unread Gmail → classify (action_needed/fyi/newsletter/noise) → summarize → extract tasks → draft replies as Gmail DRAFTS (never sends) → flag calendar → write a triage report. Four stdio tools (fetch_emails, save_gmail_draft, append_tasks, write_report); the host is the LLM, so it runs keyless in Claude Code. Gmail scopes: readonly + compose
    4
    MIT