"The revanthlevaka/OpenYantra GitHub repository" matching MCP servers:

A server that allows AI assistants to browse and read files from specified GitHub repositories, providing access to repository contents via the Model Context Protocol.

Enables MCP clients to read bounded workspace files, validate exact replacement plans for the VS Code extension, and check recent typing progress without modifying source or running shell commands.

MCP Server for the GitHub API, enabling file operations, repository management, search functionality, and more.

A Model Context Protocol server that gives AI agents bounded, auditable access to propose changes to an Obsidian vault stored in GitHub, with per-agent expiring tokens, read/write/deny path policies, mutability rules, frontmatter checks, and human-reviewed proposal branches.

Enables an AI agent to inspect and safely edit local .ics calendar files, query agendas, find free/busy slots, detect overlaps, and handle time zones, DST, and recurrence rules.

Enables AI agents to inspect and safely edit Excel workbooks by distinguishing formulas from cached values, previewing changes with dry runs, detecting what a save would lose, and refusing unsafe writes.

Enables an AI agent to run read-only SQL over local CSV, Parquet, and JSON files through MCP tools, with directory sandboxing, statement gating, timeouts, and query timeouts that keep access confined to permitted folders. Results are shaped for small context windows with row caps, truncation notices, and markdown/CSV/JSON output.

Enables an AI agent to inspect images, resize and compress them to size budgets, strip EXIF/GPS metadata, generate thumbnails, and safely batch-process files inside a directory sandbox.

Enables AI clients to operate on a remote Linux server over MCP, allowing shell command execution, file editing, package installation, project builds, and service management.

Enables an AI agent to search a folder of markdown notes, follow links and backlinks, and safely rename notes while rewriting every link to them.

A production-grade Model Context Protocol server that enables secure management of context data through a React dashboard, supporting ZIP processing, context approval workflows, and system monitoring.

MCP server that helps AI coding agents understand a repository by providing lightweight tree/map, code search, and token-budgeted context packing tools without dumping the entire monorepo into the prompt.

A local MCP server that generates bullet points for resume project experience from GitHub repository signals, merges them into a PDF resume, and exports a new PDF using templates.

An MCP server that provides a workspace.inspect tool for VS Code agents such as codebuddy and GitHub Copilot, enabling them to inspect the workspace through the Model Context Protocol.

Maintains a self-updating JSON index of repository files, functions, and descriptions so agents can query relevant files instead of grepping the tree.

Enables AI assistants to manage Debian package repositories through natural language using the Aptly package management tool. Supports repository creation, package operations, snapshot management, publishing, and mirror synchronization.

Enables AI assistants to securely inspect local Git repositories and perform restricted write operations in isolated worktrees, with sandboxed script execution and limited GitHub repository management.

Enables AI assistants to read, create, merge, split, and edit PDF files through natural language commands in GitHub Copilot Chat.

A Model Context Protocol server integrating DevOps tools for GitHub, Docker, and filesystem operations.

Integrates GitHub repository management and local file system access to enable AI agents to perform code reviews and manage pull requests. It provides tools for listing repositories, retrieving PR diffs, and searching or reading files within a specified workspace.

Enables loading and serving markdown files as prompts from local folders or GitHub repositories. Supports automatic repository synchronization and YAML frontmatter for prompt metadata.

Bridges MCP to Cursor Agent via ACP, allowing Codex to delegate file edits and shell commands to Cursor for repository modifications, with security defaults.

Converts Cursor agent plans into structured markdown task lists and organizes them in your repository.

Enables LLMs to securely interact with MongoDB, GitHub, and a sandboxed file system, eliminating information silos.

Enables MCP clients to retrieve, search, and inspect instruction files from a private GitLab repository, with synchronization and history access plus optional guarded commits and pushes for approved updates.

Enables reading, searching, and modifying Obsidian vault notes directly, including saving conversation summaries and appending to daily notes, with GitHub OAuth authentication.

Provides LLM-optimized tools for advanced code analysis, repository complexity evaluation, and call graph generation. It enables users to visualize directory structures, detect code patterns, and build semantic context with significant token savings.

Enables AI coding agents and hosts to enforce deterministic repository boundaries via MCP, providing structured reads, supervised edits, snapshots, audits, and recovery with machine-readable evidence.

A server implementation that provides a unified interface for OpenAI services, Git repository analysis, and local filesystem operations through REST API endpoints.

Remote MCP server that exposes a personal git repository of markdown notes to Claude, enabling reading, writing, searching, and running scripts with automatic git commits and GitHub OAuth authentication.