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.

DimensionwitnessLocal memory & self-improvement engine that witnesses your growth as a developer.GitHub MCP ServerGitHub's official MCP server for managing repos, issues, PRs, and workflows via natural language
FMRS62 / 100 · C76 / 100 · B
Reliability10 / 2013 / 20
Security and permissions14 / 2014 / 20
Maintenance10 / 2018 / 20
Documentation16 / 2017 / 20
Setup experience12 / 2014 / 20
Best for
  • Developers who want to preserve learnings across AI coding sessions.
  • Those seeking a second brain / AI memory that their agent can query for thinking patterns.
  • Privacy-conscious users who require all data stay local.
  • People who want to track their growth as a developer over time.
  • 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
  • Those needing project-level memory or codebase history (it focuses on the person, not the code).
  • Those needing cloud sync or multi-user collaboration (it's local-first).
  • Users unfamiliar with CLI or unwilling to run a local model download.
  • Proactive coaching expecting in-session suggestions or nudges (it's a tool, not a coach).
  • 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
  • Reads user prompts and assistant messages captured by Claude Code hooks.
  • Reads OpenCode's local SQLite session database.
  • Accesses local file system for storing data (default `~/.local/share/witness/`).
  • Invokes `claude -p` or a private `opencode serve` runner for distillation.
  • 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
  • Data is all local but requires regular backups; don't sync live data directory directly.
  • May require significant disk space as the model ~470MB and raw transcripts accumulate.
  • Uses LLM distillation which can incur compute and cost depending on runner configuration.
  • Ensure to use `witness export` for consistent snapshots for backup to avoid corruption.
  • 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, OpenCodeClaude Desktop, Claude Code, VS Code, Cursor, Windsurf, JetBrains IDEs, Zed, Amp
Tools515