"fetch" matching MCP servers:

A reference MCP server for observing Vercel projects and deployments over stdio. It provides read-only tools to list and fetch details of Vercel projects and deployments.

MCP server for GitHub Actions CI failure triage. It wraps the gh CLI to fetch PR checks, failed jobs, and tail/grep failed job logs with ANSI/timestamp stripping and root-cause extraction.

A temporary MCP server that scrapes Bitrise Insights using Playwright to fetch flaky test data, providing tools to query workspace and app test insights until the official API is released.

MCP server for Jenkins (with optional GitLab integration) that lets AI assistants list jobs, trigger and track deployments, fetch build logs, and verify whether tickets are deployed, without touching the Jenkins UI.

Integrates Honeybadger error tracking with Cursor IDE, allowing developers to fetch, analyze, and troubleshoot application errors directly from their development environment.

Enables AI assistants to interact with Atlassian Bamboo CI/CD, allowing natural language queries to check build status, fetch logs, trigger builds, and manage deployments.

A Model Context Protocol server that enables integration with GitHub Actions, allowing users to fetch available actions, get detailed information about specific actions, trigger workflow dispatch events, and fetch repository releases.

A TypeScript template for building MCP servers with reusable infrastructure including typed fetch client, rate limiting, caching, OAuth support, and CI/release tooling.

Enables autonomous AI agents and CI/CD runners to discover repository modules, scan outdated dependencies, fetch version histories, and apply verified dependency updates with major-version safety guardrails across polyglot monorepos.

Enables AI coding agents to fetch the real latest versions of packages from npm, PyPI, crates.io and the Go module proxy, then check manifests or whole projects for outdated dependencies and rewrite them in place. It also reports the current releases and underlying dependency stacks of AI coding tools like Claude Code, Codex and Gemini CLI.

An MCP server for automated code reviews on Azure DevOps pull requests, enabling AI assistants to fetch PR details, validate requirements, post inline comments, and set review votes.

Enables AI assistants to list and retrieve repositories, fetch and create pull requests, and access related resources through Cloud and Server APIs, with pagination and non-destructive operations.

Enables AI assistants to interact with Bitbucket Cloud and Server APIs to list and retrieve repositories, fetch and create pull requests, and manage related resources through natural language.

Enables AI assistants to list and retrieve repositories, fetch and create pull requests, and access pipeline information through cloud and server APIs with configurable authentication.

Enables AI assistants to list and retrieve repositories, fetch and create pull requests, and page through related data via Bitbucket Cloud and Server APIs.

. A good description should be concise and describe what the server enables users to do, e.g. * Enables to interact with WordPress sites...' Then a huge block? Actually the user message includes the README content inside tags, then after the readme, there is a large block of text starting with '{

Enables AI assistants to list and retrieve repositories, inspect repository details, and fetch or create pull requests through Bitbucket Cloud and Server APIs.

Enables AI assistants to browse repositories, retrieve repository details, fetch and create pull requests, and page through Bitbucket Cloud or Server resources via authenticated API tools.

Enables AI assistants to interact with Bitbucket Cloud and Server APIs to list and retrieve repositories, fetch and create pull requests, and perform other repository operations.

Enables managing a self-hosted Coolify instance from Claude Code or any MCP client over stdio, using your own API token. Exposes tools to list and inspect servers, projects, applications, services, databases, deployments and teams, plus control (start/stop/restart), deploy, fetch logs, read and edit environment variables, and make raw API calls.