"Live Order Book on Steam" matching MCP servers:

. 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 agents to discover GitHub repositories by expanding intents into multiple keyword queries, searching GitHub's live Search API, and returning deduplicated, ranked candidates with README excerpts and metadata.

Enables AI assistants to draft content such as PR descriptions, tickets, or messages, with a review window for live preview, editing, and approval before submission.

Serves the review notes left at lines of a diff in seam, a terminal diff viewer, to an agent with the code around them. The agent answers each note, and the answer shows in seam at that line.

MCP server that computes a GitHub repo maintenance/abandonment health score from live GitHub data, providing a 0-100 score and verdict via the check_repo_health tool.

Lets agents read a GitHub repository's live issues through read-only tools for listing, filtering, fetching details with comments and cross-references, searching, and exploring labels and milestones, with transparent pagination and provenance notes.

Provides fresh project context to coding agents by combining Markdown documentation and live Git state, enabling deterministic startup briefs and bounded document retrieval for MCP-compatible tools.

Enables an AI agent opened in any git repository to discover every other repository on the machine on its own, through read-only MCP tools covering inventory, tech stack, live git status, context files (CLAUDE.md, AGENTS.md, README.md) and cross-repository text and file search. All work is strictly local and non-modifying, with no writes and no network access.

Connects coding agents to Amendor to pull change requests from live sites and automate building branches and pull requests.

An MCP server that gives AI agents structured read/write access to a story-based project backlog. Agents can list stories, read content, update status, and append notes — all backed by plain markdown files that live inside your project repository. There is no shared server. The backlog files live in your repo under requirements/, committed and versioned alongside your code

Enables LLMs to list, create, and comment on GitHub issues using your own GitHub identity via stdio transport.

Enables Microsoft Copilot Desktop and Microsoft 365 Copilot Studio to post/read Slack messages, query GitHub repository status, and monitor live pod health and fleet runtime briefs.

Exposes a personal portfolio's resume, projects, skills, certifications, and live GitHub repositories as tools for AI assistants to query via natural language.

Adds a live git branch status bar to the Claude footer for tracking multiple active and reference repositories. It allows users to manage repository visibility and configuration directly through natural language MCP tools.

Adds a live git branch status bar to the Claude interface for monitoring multiple repositories simultaneously. It provides tools for managing repository tracking and visibility through natural language commands.

Enables pull-request workflows on GitHub and Bitbucket Cloud, providing tools to list, create, update, merge, close, comment on, and review pull requests via a unified interface.

MCP server for Bitbucket Cloud, focused on pull-request review workflows

Enables agents to verify real-world assertions like content being posted or PRs merged by fetching live evidence from URLs and GitHub, returning a verified boolean plus raw evidence.

Enables fetching Pull Request diffs from GitHub and posting inline review comments directly on PRs, either as pending drafts or published immediately.

Makes git commits on behalf of AI by appending "(aider)" to the committer's name, allowing tracking of AI contributions in your codebase.

Enables AI agents to manage GitHub issues by listing, creating, searching, and commenting on them through MCP.

A production-ready MCP server with 24 tools for Stripe, Twilio, Resend, GitHub, and Slack, plus pre-built workflow prompts and live resources.

Enables interacting with a GitLab project’s REST API for pipelines, manual jobs, issues, and merge requests, with dry-run write operations and an optional read-only mode.

Enables a coding session to watch GitHub pull requests and receive reports of new activity such as commits, reviews, comments, check status changes, and merge or closure events, with events available through live channel messages or pending queries.

Bridges Claude Code with an on-premise Azure DevOps Server / TFS collection, enabling work item and Git operations via PAT authentication.

A GitHub MCP server enabling repository, issue, and pull request management through natural language, built on octokit.js and the MCP TypeScript SDK.

Manages parallel Git worktrees, enabling work on multiple branches simultaneously without stashing or context switching.

A modular monolith MCP server connecting multiple providers (Redash, PostgreSQL, GitHub) with unified permission, security, and auditing, enabling secure data access and tool execution.

MCP server for team task tracking, code review, and activity monitoring via Claude Code. Assign tasks, track branch activity, review code, and get daily summaries through natural language.

A Model Context Protocol server that generates prompts based on Git repository content, including a command to generate PR descriptions from diffs.

Enables secure, policy-controlled operations on local git repositories through MCP, including bounded reads, context-checked patches, allowlisted tasks, and guarded git operations.

A lightweight MCP server for GitHub with nine essential tools for reading files, managing pull requests, and creating issues, using personal access token authentication.

Helps support engineers find similar GitHub issues to speed up troubleshooting by searching repositories and calculating similarity scores based on issue descriptions.

MCP server for on-premises Azure DevOps that lets AI assistants browse repositories, review pull requests, manage work items, and interact with wikis, with NTLM authentication support.

Enables automatic GitHub issue creation from Git diffs. Generates structured issue templates with summaries, technical notes, and appropriate labels based on code changes.

A disciplined-sprint MCP server for AI coding agents, providing structured sprint management with immutable append-only ledger, programmatic close-gates, and live dashboard.

Enables AI agents to safely work on GitHub PR reviews behind a safety boundary, creating draft reviews and optionally submitting them with fixed guardrails, without exposing write tokens.

Git-history memory for coding agents: reverts, weakened tests, hot spots, live suppression debt, and unreviewed notes, read from the repository's own git log. Five tools over stdio, deterministic and offline, published on npm as @promptwheel/logbook-mcp.

Enables seamless integration with GitLab and Jira Server/Data Center via MCP, using Bearer token authentication and REST API v2, supporting both on-premise instances.

Enables AI agents to coordinate on a shared repository using commutativity-proven parallel landing and regenerative merge, avoiding rebase conflicts through symbol-level leases.