"Capture The Flag (CTF) cybersecurity competitions and challenges" matching MCP servers:

Enables a secure append-only write service for mobile ChatGPT captures, storing text, voice transcriptions, and attachments as new files in a private GitHub KnowledgeHub repository without overwriting or deleting existing content.

Enables people to open a shared group chat as a card inside their own AI chat, where they and their AIs talk together and post, claim, and confirm tasks on a self-organizing board. Its tools also let any AI read the repository's code and submit a proposed change that becomes a pull request.

Enables LLM agents to search, read, and create GitHub issues and pull requests via natural language, using the GitHub API.

A FastMCP-based server designed for the banking and fintech domains, providing tools for database queries, Git operations, and deployment management. It features a modular architecture with reusable prompt templates and integrated security practices for sensitive data handling.

Enables searching GitHub users and repositories, fetching details, and performing stock market technical analysis via AlphaVantage.

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Provides MCP tools to get a single-call snapshot of git and GitHub Actions CI status across all repositories in a folder, flag missing or stale architecture docs, write doc files, and detect release drift between source and release repositories.

Local-first memory layer for AI coding agents — Markdown as source of truth, MCP server + CLI, human-reviewed capture, team knowledge via git PRs

Enables AI coding agents to assemble tamper-evident, locally stored evidence bundles that capture Git state, command results, and file hashes, then verify freshness and export shareable reports.

Enables an agent to work a pull request end to end on a self-hosted Bitbucket Server or Data Center instance over REST 1.0: listing and reading PRs, checking merge state and veto reasons, reading activity threads, posting threaded comments, resolving tasks, toggling the draft flag, and merging. Host and credentials are read from environment variables, so it reaches older self-hosted instances that the official Atlassian offerings do not cover.

A TypeScript server that analyzes GitHub Pull Requests using the Model-Controller-Presenter pattern.

Enables an AI assistant to read a project's git diff and generate Angular-style, company-standard commit messages, then stage and commit the changes on the user's behalf. It runs on the host's built-in AI capabilities with no API key or cost, exposing tools for fetching changes, staging all files, and committing.

An MCP server for interacting with the Backlog API, enabling AI agents to manage projects, issues, wikis, and more, with support for restricting access to a subset of Backlog projects.

Enables automated interaction with Bitbucket, including creating and listing pull requests, through the Model Context Protocol.

Enables AI assistants to read and manage Bitbucket Cloud workspaces, repositories, pull requests, branches, commits, and code through tools exposed over the standard MCP interface.

Provides ~200 auto-generated tools and resources for LLM agents to interact with Gitea and Forgejo instances via the Model Context Protocol.

Connects Claude to read-only GitHub activity so it can draft LinkedIn posts in the user's own style, keeping a history of encrypted drafts and redacted site screenshots. The server itself never calls an AI, and handles authentication through OAuth 2.1 with PKCE.

Federated, privacy-first shared memory for AI coding assistants that lets you capture, review, and share team knowledge via git without a central server.

Enables AI assistants to interact with GitLab by wrapping the REST API v4 into executable tools for repository and branch management. It supports operations like creating projects, managing branches, and retrieving user information through the Model Context Protocol.

Exposes code graphs across multi-program repositories via MCP, enabling humans and agents to query the fleet with evidence.

Enables AI assistants to browse repositories, view and create pull requests, and work with other resources through Bitbucket Cloud and Server APIs. Supports authenticated access via app passwords or access tokens, with paging through large result sets and an optional flag for dangerous operations.

Enables AI agents to query X's open-source recommendation algorithm through commit-pinned code search, exact source spans, symbol lookup, parameter histories, and ledger-based claim verification, so answers cite reproducible evidence and flag stale findings.

MCP server for the GitHub API, enabling file operations, repository management, search functionality, issues, pull requests, and more.

Enables AI agents to generate and retrieve a contextual document for a git branch, summarizing repository state, changes, and freshness, so they can understand the branch without scanning the entire codebase.

Enables AI assistants to work with Bitbucket Cloud and Server through authenticated REST API access, including listing and inspecting repositories and fetching or creating pull requests with pagination controls. Read-only by default, with optional deletion tools gated behind an explicit enable flag.

Read-only MCP server for querying official dental professional registry data from the Regional Council of Dentistry of Maranhão, Brazil. Enables natural-language lookups via a single consult tool.

MCP server that connects to the GitHub API to list and create issues, comment on issues, and list pull requests with diff summaries. It enables natural language management of GitHub repositories from MCP-compatible clients.

Automates routine DevOps tasks like Jenkins builds and GitLab merge requests through the MCP protocol, simplifying daily operations.

The Metaplex MCP Server facilitates access to Metaplex documentation and repository details, enabling users to search and interact with various Metaplex resources through the MCP protocol.

Enables AI assistants to interact with GitHub repositories, issues, pull requests, and content via the Model Context Protocol.