{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"npm_npm-zereightmcp-gitlab","slug":"npm-zereightmcp-gitlab","name":"@zereight/mcp-gitlab","type":"mcp","url":"https://www.npmjs.com/package/@zereight/mcp-gitlab","page_url":"https://unfragile.ai/npm-zereightmcp-gitlab","categories":["mcp-servers"],"tags":["gitlab","gitlab-mcp","mcp","mcp-server","model-context-protocol","gitlab-api","claude","cursor","vscode","copilot","ai-agent","merge-requests","pipelines","oauth","stdio","sse","streamable-http"],"pricing":{"model":"open_source","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"npm_npm-zereightmcp-gitlab__cap_0","uri":"capability://tool.use.integration.gitlab.project.metadata.retrieval.and.codebase.context.injection","name":"gitlab project metadata retrieval and codebase context injection","description":"Fetches project details, repository structure, and file contents from GitLab via the GitLab REST API, enabling LLM agents to understand codebase architecture without cloning. Uses MCP's resource-based protocol to expose projects as queryable entities with lazy-loaded file trees and content streaming, allowing Claude/Copilot to reason about code structure in context windows.","intents":["I need my AI assistant to understand my GitLab project structure and read specific files without cloning the repo","I want to ask Claude questions about my codebase that require reading multiple files across the project","I need to provide my AI agent with up-to-date project metadata (description, visibility, default branch) for decision-making"],"best_for":["solo developers using Claude/Copilot who want codebase-aware AI assistance","teams integrating GitLab with LLM-based code review agents","developers building AI agents that need to reason about project structure without full repo clones"],"limitations":["File content retrieval is subject to GitLab API rate limits (typically 600 requests/hour for authenticated users)","Large binary files or very large text files may exceed LLM context window limits","No built-in caching of project metadata — each query hits the GitLab API","Requires read access to the project; cannot retrieve private projects without proper authentication"],"requires":["GitLab instance (self-hosted or gitlab.com) with API access","Valid GitLab personal access token or OAuth token with api scope","Node.js 16+ runtime for the MCP server","MCP client (Claude Desktop, Cursor, or compatible AI editor)"],"input_types":["project identifiers (project ID or path)","file paths (relative to repository root)","branch/tag names"],"output_types":["JSON project metadata","file contents (text/code)","directory tree structures","repository statistics"],"categories":["tool-use-integration","memory-knowledge"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm_npm-zereightmcp-gitlab__cap_1","uri":"capability://tool.use.integration.merge.request.lifecycle.management.and.ai.assisted.review","name":"merge request lifecycle management and ai-assisted review","description":"Exposes GitLab merge request operations (create, list, update, merge, close) through MCP tools, enabling LLM agents to programmatically manage MRs, fetch diffs, and retrieve review comments. Implements GitLab API endpoints for MR state transitions and comment threading, allowing Claude to autonomously propose changes, request reviews, or merge code based on CI/CD status and approval rules.","intents":["I want Claude to automatically create a merge request for a code change and request review from specific team members","I need my AI agent to fetch the diff of a pending MR and provide inline code review suggestions","I want to ask Claude to merge a specific MR if all CI checks pass and approvals are met","I need to list all open MRs assigned to me and have Claude summarize the changes in each"],"best_for":["teams using AI-assisted code review workflows","developers automating repetitive MR operations (merging approved PRs, closing stale MRs)","CI/CD pipelines that need AI-driven decision-making on merge eligibility"],"limitations":["Cannot bypass GitLab approval rules or protected branch policies — MR merge will fail if requirements aren't met","Diff retrieval is limited by GitLab API response size; very large diffs may be truncated","No real-time MR event streaming — agent must poll for MR status changes","Comment creation requires write access to the project; read-only tokens cannot post reviews"],"requires":["GitLab personal access token with api and write_repository scopes","Target project must allow MR creation (not archived or read-only)","MCP client with tool-calling support (Claude, Cursor, etc.)"],"input_types":["project ID/path","source and target branch names","MR title and description","reviewer usernames or group names","MR state (opened, closed, merged)"],"output_types":["MR metadata (ID, state, author, created_at)","diff content (unified diff format)","approval status and reviewer feedback","CI/CD pipeline status linked to MR"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm_npm-zereightmcp-gitlab__cap_2","uri":"capability://tool.use.integration.ci.cd.pipeline.status.monitoring.and.artifact.retrieval","name":"ci/cd pipeline status monitoring and artifact retrieval","description":"Queries GitLab CI/CD pipeline status, job logs, and artifacts through MCP tools, enabling LLM agents to monitor build health and retrieve test results or compiled artifacts. Fetches pipeline details (status, duration, stages, jobs) and streams job logs for debugging, allowing Claude to analyze failures and suggest fixes based on error output.","intents":["I want Claude to check if the latest pipeline passed and summarize any failed jobs","I need my AI agent to fetch the test output from a failed CI job and suggest fixes","I want to retrieve build artifacts (e.g., compiled binaries, test reports) from a successful pipeline run","I need Claude to monitor a long-running pipeline and alert me when it completes"],"best_for":["developers debugging CI/CD failures with AI assistance","teams automating deployment decisions based on pipeline status","CI/CD engineers building intelligent pipeline monitoring agents"],"limitations":["Job logs are subject to GitLab retention policies; old logs may be unavailable","Artifact retrieval requires the artifact to still exist (GitLab may expire artifacts after N days)","No real-time pipeline event streaming — agent must poll for status updates","Large job logs (>10MB) may be truncated or slow to retrieve"],"requires":["GitLab personal access token with api scope","Project must have CI/CD pipelines configured (.gitlab-ci.yml)","MCP client with tool-calling support"],"input_types":["project ID/path","pipeline ID or commit SHA","job name or ID","artifact name"],"output_types":["pipeline metadata (status, duration, stages)","job logs (text, potentially large)","artifact metadata and download URLs","test reports (if available in artifacts)"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm_npm-zereightmcp-gitlab__cap_3","uri":"capability://tool.use.integration.issue.tracking.and.ai.assisted.task.management","name":"issue tracking and ai-assisted task management","description":"Exposes GitLab issue operations (create, list, update, close, add labels/assignees) through MCP tools, enabling LLM agents to manage project issues, fetch issue details, and update issue state. Implements GitLab API endpoints for issue CRUD and comment threading, allowing Claude to autonomously create issues from discussions, assign them to team members, or close resolved issues.","intents":["I want Claude to create a new issue from a bug report in our chat and assign it to the right team member","I need my AI agent to list all open issues with a specific label and summarize their status","I want to ask Claude to close an issue and add a comment explaining the resolution","I need Claude to update issue metadata (labels, milestone, assignees) based on discussion context"],"best_for":["teams using AI-assisted issue triage and assignment","developers automating issue lifecycle workflows","product teams integrating AI-driven task management with GitLab"],"limitations":["Issue creation requires write access to the project","Cannot enforce custom issue templates or validation rules — MCP tools accept free-form input","No real-time issue event streaming — agent must poll for updates","Bulk operations (e.g., close 100 issues) are rate-limited by GitLab API"],"requires":["GitLab personal access token with api and write_repository scopes","Target project must allow issue creation","MCP client with tool-calling support"],"input_types":["project ID/path","issue title and description","labels (array of strings)","assignee usernames","milestone name","issue state (opened, closed)"],"output_types":["issue metadata (ID, state, author, created_at, updated_at)","issue description and comments","labels, assignees, milestone","linked merge requests"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm_npm-zereightmcp-gitlab__cap_4","uri":"capability://tool.use.integration.wiki.page.creation.and.documentation.management","name":"wiki page creation and documentation management","description":"Exposes GitLab wiki operations (create, list, update, delete pages) through MCP tools, enabling LLM agents to generate and maintain project documentation. Implements GitLab wiki API endpoints for page CRUD with Markdown support, allowing Claude to autonomously create or update wiki pages based on code changes or documentation requests.","intents":["I want Claude to automatically create a wiki page documenting a new API endpoint when the code is merged","I need my AI agent to update the project README or setup guide based on recent changes","I want to ask Claude to generate architecture documentation and add it to the project wiki","I need Claude to list all wiki pages and identify outdated documentation"],"best_for":["teams automating documentation generation and maintenance","developers using AI to keep wiki pages in sync with code changes","documentation-heavy projects that need AI-assisted content updates"],"limitations":["Wiki page creation requires write access to the project","No version control for wiki pages — updates overwrite previous content (GitLab stores wiki history, but MCP tools don't expose it)","Wiki pages are limited to Markdown format; no support for other markup languages","No real-time wiki event streaming — agent must poll for updates"],"requires":["GitLab personal access token with api and write_repository scopes","Target project must have wiki enabled","MCP client with tool-calling support"],"input_types":["project ID/path","wiki page title/slug","page content (Markdown)","page format (markdown, rdoc, asciidoc, org)"],"output_types":["wiki page metadata (title, slug, created_at, updated_at)","page content (Markdown)","list of all wiki pages"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm_npm-zereightmcp-gitlab__cap_5","uri":"capability://tool.use.integration.release.and.tag.management.with.artifact.publishing","name":"release and tag management with artifact publishing","description":"Exposes GitLab release operations (create, list, update, delete) through MCP tools, enabling LLM agents to manage project releases and publish artifacts. Implements GitLab API endpoints for release CRUD with support for release notes, asset uploads, and tag creation, allowing Claude to autonomously create releases from merge commits or update release notes based on changelog data.","intents":["I want Claude to automatically create a release when a version tag is pushed, with auto-generated release notes","I need my AI agent to update release notes based on merged issues and MRs since the last release","I want to ask Claude to list all releases and identify which ones need documentation updates","I need Claude to create a release with attached artifacts (binaries, archives) from a CI/CD pipeline"],"best_for":["teams automating release workflows and changelog generation","developers using AI to manage version releases and release notes","projects with frequent releases that need AI-assisted documentation"],"limitations":["Release creation requires write access to the project and permission to create tags","Artifact uploads are limited by GitLab's file size limits (typically 100MB per file)","Release notes are limited to Markdown format","No real-time release event streaming — agent must poll for updates"],"requires":["GitLab personal access token with api and write_repository scopes","Target project must allow tag creation","MCP client with tool-calling support"],"input_types":["project ID/path","tag name/version","release title and notes (Markdown)","artifact files (binary, archive)","release type (release, pre-release)"],"output_types":["release metadata (ID, tag, created_at, published_at)","release notes (Markdown)","list of releases with pagination","asset metadata (name, size, download URL)"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm_npm-zereightmcp-gitlab__cap_6","uri":"capability://tool.use.integration.mcp.protocol.transport.abstraction.with.stdio.and.sse.support","name":"mcp protocol transport abstraction with stdio and sse support","description":"Implements MCP server using both stdio (standard input/output) and SSE (Server-Sent Events) transport protocols, enabling flexible deployment in different client environments. Uses Node.js streams for stdio communication and HTTP endpoints for SSE, allowing the MCP server to integrate with Claude Desktop (stdio), Cursor (stdio), and web-based AI clients (SSE) without code changes.","intents":["I want to run the GitLab MCP server locally with Claude Desktop using stdio transport","I need to deploy the MCP server to a remote machine and connect via SSE from a web-based AI client","I want to use the same MCP server implementation with both desktop and web-based AI assistants"],"best_for":["developers integrating GitLab with Claude Desktop or Cursor","teams deploying MCP servers in cloud environments with web-based AI clients","organizations needing flexible MCP transport options"],"limitations":["Stdio transport requires local process execution; not suitable for serverless environments","SSE transport is unidirectional (server-to-client); requires HTTP polling or WebSocket upgrade for bidirectional communication","No built-in authentication for SSE endpoints — requires external reverse proxy or API gateway for security","Stdio transport has no built-in persistence; server state is lost on restart"],"requires":["Node.js 16+ runtime","MCP client supporting stdio or SSE transport","For SSE: HTTP server infrastructure (reverse proxy, load balancer)"],"input_types":["MCP protocol messages (JSON-RPC 2.0)","stdio stream data","HTTP POST requests (for SSE)"],"output_types":["MCP protocol responses (JSON-RPC 2.0)","stdio stream data","HTTP SSE events"],"categories":["tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm_npm-zereightmcp-gitlab__cap_7","uri":"capability://tool.use.integration.oauth.token.management.and.secure.credential.handling","name":"oauth token management and secure credential handling","description":"Implements OAuth token acquisition and refresh logic for GitLab authentication, enabling secure credential handling without storing plaintext tokens. Uses GitLab OAuth 2.0 flow to obtain access tokens and manages token lifecycle (refresh, expiration), allowing users to authenticate via OAuth instead of managing personal access tokens manually.","intents":["I want to authenticate with GitLab using OAuth instead of managing a personal access token","I need the MCP server to automatically refresh expired OAuth tokens without user intervention","I want to securely store GitLab credentials without exposing them in configuration files"],"best_for":["teams deploying MCP servers in shared environments where token security is critical","developers using Claude Desktop with OAuth-based GitLab authentication","organizations with strict credential management policies"],"limitations":["OAuth flow requires user interaction for initial authorization (browser redirect)","Token refresh requires network connectivity to GitLab OAuth endpoint","No built-in token storage — requires external secure storage (OS keychain, environment variables)","OAuth token scope is limited to what the GitLab OAuth app is configured for; cannot exceed app permissions"],"requires":["GitLab OAuth application registered with redirect URI","GitLab instance with OAuth 2.0 support enabled","MCP client supporting OAuth flow (e.g., Claude Desktop with browser integration)"],"input_types":["OAuth authorization code","GitLab instance URL","OAuth client ID and secret"],"output_types":["access token","refresh token","token expiration time"],"categories":["tool-use-integration","safety-moderation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm_npm-zereightmcp-gitlab__cap_8","uri":"capability://tool.use.integration.multi.project.and.multi.instance.gitlab.support","name":"multi-project and multi-instance gitlab support","description":"Enables the MCP server to operate across multiple GitLab projects and instances simultaneously, allowing LLM agents to query and manage resources across different GitLab deployments. Implements project/instance selection logic in tool parameters, allowing Claude to specify target project or instance for each operation without requiring separate MCP server instances.","intents":["I want Claude to work with multiple GitLab projects in a single conversation without switching servers","I need my AI agent to compare issues or MRs across different GitLab instances (e.g., self-hosted and gitlab.com)","I want to ask Claude to create an issue in one project and link it to an MR in another project"],"best_for":["organizations with multiple GitLab instances or projects","developers managing cross-project workflows with AI assistance","teams needing unified AI access to distributed GitLab deployments"],"limitations":["Requires separate authentication credentials for each GitLab instance","Tool parameters become more complex with instance/project selection","No built-in project discovery — requires explicit project ID/path specification","Rate limiting applies per instance; high-volume operations across instances may hit limits faster"],"requires":["GitLab personal access tokens for each instance","MCP client with tool-calling support","Clear project/instance naming convention to avoid confusion"],"input_types":["GitLab instance URL (for self-hosted instances)","project ID or path","operation parameters (branch, MR ID, etc.)"],"output_types":["cross-project resource metadata","aggregated results from multiple instances"],"categories":["tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm_npm-zereightmcp-gitlab__cap_9","uri":"capability://tool.use.integration.streamable.http.response.handling.for.large.payloads","name":"streamable http response handling for large payloads","description":"Implements streaming HTTP responses for large GitLab API payloads (e.g., large file contents, job logs), enabling efficient memory usage and faster response times. Uses Node.js streams to pipe GitLab API responses directly to MCP clients without buffering entire payloads in memory, allowing Claude to process large files incrementally.","intents":["I want Claude to read a large source file (>10MB) from GitLab without timing out or running out of memory","I need my AI agent to fetch and analyze long job logs without loading the entire log into memory","I want to stream large artifacts or binary files from GitLab through the MCP server"],"best_for":["projects with large codebases or large build artifacts","developers analyzing large log files with AI assistance","teams with memory-constrained MCP server deployments"],"limitations":["Streaming responses may not be fully compatible with all MCP clients; some clients may buffer entire response anyway","LLM context window limits still apply; even streamed content must fit in the model's context","Streaming adds complexity to error handling; errors mid-stream may result in partial data","GitLab API rate limits apply regardless of streaming; large payloads consume more rate limit quota"],"requires":["MCP client with streaming response support","Node.js 16+ with stream support","GitLab API access with appropriate scopes"],"input_types":["file path or artifact ID","byte range (optional, for partial content)"],"output_types":["streamed file content or log data","HTTP chunked transfer encoding"],"categories":["tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":28,"verified":false,"data_access_risk":"high","permissions":["GitLab instance (self-hosted or gitlab.com) with API access","Valid GitLab personal access token or OAuth token with api scope","Node.js 16+ runtime for the MCP server","MCP client (Claude Desktop, Cursor, or compatible AI editor)","GitLab personal access token with api and write_repository scopes","Target project must allow MR creation (not archived or read-only)","MCP client with tool-calling support (Claude, Cursor, etc.)","GitLab personal access token with api scope","Project must have CI/CD pipelines configured (.gitlab-ci.yml)","MCP client with tool-calling support"],"failure_modes":["File content retrieval is subject to GitLab API rate limits (typically 600 requests/hour for authenticated users)","Large binary files or very large text files may exceed LLM context window limits","No built-in caching of project metadata — each query hits the GitLab API","Requires read access to the project; cannot retrieve private projects without proper authentication","Cannot bypass GitLab approval rules or protected branch policies — MR merge will fail if requirements aren't met","Diff retrieval is limited by GitLab API response size; very large diffs may be truncated","No real-time MR event streaming — agent must poll for MR status changes","Comment creation requires write access to the project; read-only tokens cannot post reviews","Job logs are subject to GitLab retention policies; old logs may be unavailable","Artifact retrieval requires the artifact to still exist (GitLab may expire artifacts after N days)","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.05,"quality":0.3,"ecosystem":0.5000000000000001,"match_graph":0.25,"freshness":0.52,"weights":{"adoption":0.25,"quality":0.25,"ecosystem":0.15,"match_graph":0.23,"freshness":0.12}},"observed_outcomes":{"matches":0,"success_rate":0,"avg_confidence":0,"top_intents":[],"last_matched_at":null},"maintenance":{"status":"active","updated_at":"2026-05-24T12:16:24.483Z","last_scraped_at":"2026-05-03T14:23:53.093Z","last_commit":null},"community":{"stars":null,"forks":null,"weekly_downloads":null,"model_downloads":null,"model_likes":null}},"distribution":{"claim_url":"https://unfragile.ai/submit?claim=npm-zereightmcp-gitlab","compare_url":"https://unfragile.ai/compare?artifact=npm-zereightmcp-gitlab"}},"signature":"qqSX0UJpA6RU7cnuPeE7zlROsQXZ8BLZNTGezE5oUWajs53HCyOemGXwSYrfJybUm+ZRAvymOKJVNZE9Qcu7Dw==","signedAt":"2026-06-20T20:06:38.530Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/npm-zereightmcp-gitlab","artifact":"https://unfragile.ai/npm-zereightmcp-gitlab","verify":"https://unfragile.ai/api/v1/verify?slug=npm-zereightmcp-gitlab","publicKey":"https://unfragile.ai/api/v1/trust-passport-public-key","spec":"https://unfragile.ai/trust","schema":"https://unfragile.ai/schema.json","docs":"https://unfragile.ai/docs"}}