"Kingsoft Document Connector" matching MCP servers:

ghcli-mcp-connector is an MCP server that lets agents run any GitHub CLI (gh) command—repos, issues, PRs, releases, workflows, gists, and more—as a single static Go binary with a read-only-by-default safety gate on state-changing operations.

Enables AI agents to generate and retrieve a contextual document for a git branch, summarizing repository state, changes, and freshness, so they can understand the branch without scanning the entire codebase.

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 Codex to work with GitVerse repositories, files, branches, commits, releases, merge requests, tasks, CI/CD, users, teams, and stars through MCP, with a read-only REST fallback and optional local bridge mode.

Enables Claude Code to manage Overleaf projects by auto-discovering them and reading/editing files across all projects, with a review-before-push local-workspace workflow.

A commitment tripwire that flags when a tracked commitment disappears verbatim between document versions; enables AI agents to call this check via MCP.

Enables local-first document versioning with content-addressable storage, word-level AST diffs, and AI-compliance auditing for LLM agents.

Provides access to Overleaf projects via Git integration, allowing Claude and other MCP clients to read LaTeX files, analyze document structure, and extract content.

Enables safe, human-in-the-loop AI document collaboration by letting agents create isolated workspaces, edit tracked files, open reviewable Change Requests, and get human approval before merging, with Git-backed conflict detection and resolution.

Python-based server that provides AI-native access to Alfresco content management operations through the Model Context Protocol, enabling search, document lifecycle management, version control, and other content operations.

Enables models to query enterprise systems—structured data, live GitHub REST API, and unstructured document embeddings—through a single, per-caller scoped MCP tool surface with task-shaped tools and recovery-aware errors.

A single static Go binary that exposes GitHub operations (repos, branches, commits, file contents, issues, PRs, and search) as MCP tools, enabling agents to read and write GitHub data with no runtime dependencies.

Enables writers and researchers to manage large Markdown documents with AI-powered tools, including version history, semantic search, and context management.

A comprehensive MCP server providing secure tools for filesystem operations, Git management, web search, document conversion, npm/.NET project management, and AI generative capabilities (image/video/audio generation and processing) via PiAPI.ai integration.

A self-hosted MCP server that provides Claude with a git-versioned document vault, featuring dataset-based access control with keys, OAuth authentication via GitHub, and automatic commits on every write.

MCP tools that let a coding agent assemble, validate and store a structured handoff document describing a change just finished, then let a receiving agent read that handoff narrowed to its own repository's required actions.

An MCP server that gives Claude access to ShareLaTeX projects over Git, enabling file management, document structure parsing, content extraction, and writing changes back.

Enables reviewing GitHub pull requests via ChatGPT, including listing PRs, viewing diffs, posting comments, approving, and requesting changes.

Enables AI agents to create, list, read, update, and restore encrypted shared workspaces so multiple agents and people can collaborate on the same living document through one link. Supports version-checked writes that prevent concurrent agents from silently overwriting each other, plus one-shot share and read tools for quick content exchange.

Enables access to Overleaf LaTeX projects through Git integration, allowing users to read files, analyze document structure, extract sections, and manage multiple projects through natural language commands.