M
MCP Directory CURATED DIRECTORY
911 MCP servers indexed
中文
← Back to directory
COMPARE UP TO 4 SERVERS

Compare MCP servers

Compare scores, permissions, risks, and fit in one decision-focused table.

DimensionAIWGA multi-agent framework for multi-platform AI-assisted software developmentGitHub MCP ServerGitHub's official MCP server for managing repos, issues, PRs, and workflows via natural language
FMRS34 / 100 · D76 / 100 · B
Reliability3 / 2013 / 20
Security and permissions8 / 2014 / 20
Maintenance11 / 2018 / 20
Documentation8 / 2017 / 20
Setup experience4 / 2014 / 20
Best for
  • Teams that need to reuse agents, skills, commands, and rules across multiple AI coding platforms
  • Complex projects lasting weeks or months that require project memory, quality gates, and auditability
  • Developers who want to deploy plain-text AI artifacts through a CLI
  • Teams that want an AI assistant to directly operate on GitHub repos and collaboration workflows
  • Users already in the GitHub Copilot ecosystem who want a zero-deployment remote option
Not for
  • Simple scripts, typo fixes, or code explanations that fit in a single conversation
  • Users who require a confirmed MCP tool list, transport protocol, or client compatibility guarantee
  • Users seeking an LLM runtime or a framework imported directly into an application
  • Scenarios where you don't want the assistant to have write access to repos (enable only read-only toolsets)
  • Environments with strict network isolation for private repos that can't reach the official remote endpoint
Required permissions
  • Write agents, skills, rules, and context files to project- or user-level directories according to the selected platform and scope
  • Project deployments may create or update .aiwg/ and platform-specific directories
  • Optional native features may build dependencies such as node-pty or hnswlib-node
  • A personal access token (PAT) or OAuth App token; effective scope depends on the token's own permissions
  • Enabling toolsets like actions/issues/pull_requests grants write access — request tokens on a least-privilege basis
Risks and side effects
  • Global user-scope deployment may cause context or agent sets to bleed across projects
  • The README's quantitative claims, research findings, and performance statements are not independently verified by the supplied material
  • Because the server manifest is unavailable, the MCP endpoint, tool permissions, authentication, and data-access scope cannot be confirmed
  • Write toolsets (creating/merging PRs, triggering workflows) can cause accidental changes if the token is overscoped — try a read-only toolset first
  • In hosted mode, credentials travel via the Authorization header — make sure the client-to-api.githubcopilot.com connection is trusted
Supported clientsClaude Desktop, Claude Code, VS Code, Cursor, Windsurf, JetBrains IDEs, Zed, Amp
Tools015