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

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    Simple MCP Server to enable a human-in-the-loop workflow in tools like Cline and Cursor. This is especially useful for developing desktop applications that require complex user interactions to test.
    1
    53
    MIT
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    MCP server for GitLab that provides 85 tools covering issues, merge requests, repositories, CI/CD, wiki, packages, and attachments, with support for both gitlab.com and self-hosted instances. It can read attachments so models can see screenshots and other files.
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    514
    MIT
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    A production-ready MCP server for GitLab enabling AI assistants to read and manage GitLab projects, merge requests, issues, pipelines, wikis, releases, and more through a unified interface.
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    MIT
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    Enables agents to reflect on their own thinking by returning a metathought question based on a deterministic selection from curated cognitive lenses.
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    MIT
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    Acts as a bridge between standard REST/OpenAPI web APIs and the Model Context Protocol, dynamically converting REST endpoints into MCP tools for LLM clients like Cursor, Claude Desktop, and n8n.
    30
    Apache 2.0
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    A Model Context Protocol (MCP) server that provides unified access to one's professional profile, including experience, publications, career timeline, and social media presence.
    1
    Apache 2.0
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    Enables AI assistants to interact with Self, a self-awareness framework that connects daily actions to personal values, missions, and goals. Supports tracking foundations, intentions, projects, obstacles, and daily reflections through natural language.
    MIT
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    Enables developers to interact with self-hosted Supabase instances, providing database introspection, migration management, auth user operations, storage management, and TypeScript type generation directly from MCP-compatible development environments.
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    Model Context Protocol (MCP) server for GitLab — exposes 1006 GitLab REST & GraphQL API operations as MCP tools (42 meta-tools / 57 enterprise), 24 resources, 38 prompts, and 17 completion types for AI assistants. Written in Go, single static binary, stdio and HTTP transport.
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    31
    MIT
  • F
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    A Model Context Protocol server that enables interaction with self-hosted Supabase instances, allowing developers to query database schemas, manage migrations, inspect statistics, and interact with Supabase features directly from MCP-compatible development environments.
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    1
  • A
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    Enables AI-powered exploration and interaction with GitLab instances through comprehensive search, code browsing, and repository management. Supports both self-hosted and GitLab.com with flexible authentication for read and write operations.
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    MIT
  • A
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    Enables interaction with Slack workspaces as a user, supporting channel listing, message posting, threading, reactions, and user management via the Slack API.
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    11
    MIT
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    Enables AI assistants to review GitLab merge requests by fetching changes, analyzing diffs, adding comments, and managing approvals through the GitLab API. Supports complete merge request analysis, file-specific reviews, and version comparisons.
    12
    4
    MIT
  • F
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    A protocol server that enables interaction with self-hosted Supabase instances directly from development environments, allowing database introspection, management of migrations, auth users, and storage through MCP clients like IDE extensions.
    21
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    A Model Context Protocol (MCP) server for GitLab and Jira integration. This server allows AI agents like gemini-cli to interact with your GitLab and Jira instances.
    32
    32
    11
    MIT
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    Harness-neutral MCP server enabling GitLab repository workflows—merge requests, CI diagnosis, publishing, and variable management—through shared Agent Skills for Codex, Claude Code, Cline, Pi, and ChatGPT.
    147
    MIT