"Meta" matching MCP servers:

Enables AI agents to inspect, create, and edit 1C metadata and managed forms in a configurator XML dump without manual XML editing, using metadata_check for dry-run validation and metadata_apply for writes. It enforces platform dump rules, preserves formatting, and supports operations such as object creation, property changes, renaming, role generation, and form amendments.

A Model Context Protocol server that enables AI models to interact with GitHub's API, allowing for repository creation and management with descriptions, topics, and website URLs through natural language commands.

Enables AI assistants to interact with Mercurial repositories, supporting status checks, commits, topic-based workflows, and advanced operations like rebase and evolve.

A configurable proxy that filters GitHub MCP server tools via YAML whitelist, reducing context consumption from 100+ tools to only the ones you need while providing meta-tools to discover available functionality.

Token-efficient GitLab MCP server that delivers 167 tools through 3 meta-tools with progressive disclosure, field projection, server-side file trimming, and keyset pagination for agent context budgets.