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

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    An MCP server that enables querying Erick Wendel's contributions across platforms including talks, blog posts, and videos using natural language through AI assistants like Claude and Cursor.
    4
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    MIT
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    MCP server for Oklahoma campaign finance data, enabling queries on combined pre-primary and continuing contributions, candidate flags, and more via natural language.
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    MIT
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    Central user-state database MCP server with durable profile facts and live virtual sensors (stress, room intensity) with configurable smoothing, readable by any agent or smart-home service.
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    MIT
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    Exposes user, membership, and role administration tools via MCP, acting as a thin passthrough to a coordinator API with RBAC enforced by the coordinator using caller bearer tokens.
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    Enables developers to integrate privacy-preserving identity verification from the Self protocol into their apps. Provides integration guides, code generation, blockchain configuration reading, and debugging assistance for age verification, airdrop eligibility, and humanity checks.
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    MIT
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    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.
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    MIT
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    A Model Context Protocol server that enables AI assistants to interact with self-hosted GitLab instances through 30 specialized tools. It supports managing projects, merge requests, CI/CD pipelines, and repository operations via the GitLab REST API v4.
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    MIT
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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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    MIT
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    Intent-based project documentation server that automatically maps natural language queries to the right sources (plans, todos, roadmap, docs) and provides comprehensive task management with dependency tracking, backlog promotion, and archival workflows.
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    MIT
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    Enables interacting with GitLab repositories, merge requests, and code through natural language using MCP. Supports authentication with personal access tokens or OAuth2, and provides tools for listing projects, reading repository code, and analyzing merge request lifetimes.
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    MIT
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    Enables AI agents to control a browser with self-healing locators that automatically recover when selectors change, allowing reliable web automation through natural language.
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    MIT