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.

DimensionPrism CoderPersistent memory + local AI for coding agents.GitHub MCP ServerGitHub's official MCP server for managing repos, issues, PRs, and workflows via natural language
FMRS60 / 100 · C76 / 100 · B
Reliability6 / 2013 / 20
Security and permissions8 / 2014 / 20
Maintenance16 / 2018 / 20
Documentation16 / 2017 / 20
Setup experience14 / 2014 / 20
Best for
  • Developers who value privacy and want a local-first workflow
  • AI agent users who need reliable tool routing and verification
  • Teams that need cross-session memory and knowledge graphs
  • 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
  • Users who need full cloud features without a Synalux subscription
  • Those who need to run large models on modest hardware (27B requires ~16GB)
  • Scenarios requiring official vendor support
  • 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
  • Filesystem access to read/write local SQLite database and config files
  • Network access for Brave Search, Gemini AI, Supabase cloud sync, and Synalux portal
  • Execution of local Ollama models for inference
  • 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
  • Local storage may contain sensitive data; encryption recommended
  • Cloud features require API keys which could leak if mishandled
  • Model outputs may hallucinate; verification is essential
  • Local model routing may lead to stale information if context not managed properly
  • 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, Cursor, Gemini CLI, CodexClaude Desktop, Claude Code, VS Code, Cursor, Windsurf, JetBrains IDEs, Zed, Amp
Tools1115