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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.
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    4
    MIT
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    Enables interaction with the Tembo API to manage organization tasks and view enabled code repositories. Users can create, search, and list tasks or retrieve account information directly through MCP-compatible clients.
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    MIT
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    Enables interaction with Blacksmith CI analytics to query workflow runs, jobs, test results, and usage metrics. It provides detailed access to CI/CD data including job logs and billing information directly through Claude.
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    MIT
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    Enables AI assistants to manage Prismatic integrations, components, and flows via the Model Context Protocol, supporting code-native integration development and component lifecycle.
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    MIT
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    Enables AI assistants to interact with the Cycloid platform for infrastructure management, including blueprint discovery, stack creation, pipeline listing, and event monitoring via natural language.
    MIT
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    Publish websites from Claude, the terminal, or CI — drop a folder, get a link that doesn't expire. Wraps the nippy.host publish pipeline: create sites, update in place, read files, passwords, SEO settings, and visitor analytics.
    MIT
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    Budget & cost control for AI agents: hard per-agent spend caps, rate limits, idempotency, and human-in-the-loop approval — enforced before each LLM call, not after the invoice. One hosted MCP endpoint (no proxy or self-hosting), settled via x402 (USDC on Base).
    MIT
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    Enables interaction with Jenkins instances to manage jobs, builds, and nodes through the Model Context Protocol. It provides capabilities to trigger builds, read console outputs, and search log sections using regular expressions.
    611
    MIT
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    Magga lets coding agents prove their changes before claiming they’re done by building the code and verifying that newly added tests fail before the fix and pass after it. It returns evidence-backed verdicts through the verify_change tool and supports 16 languages, including Rust, Go, Python, Solidity, and C/C++.
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    Apache 2.0
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    Enables automated analysis of Woodpecker CI pipeline failures with intelligent error detection and fix suggestions. Supports both direct pipeline analysis and IDE-integrated git-context analysis using repository names, PR numbers, or branch information.
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    ISC