"Registering the revanthlevaka/OpenYantra repository" matching MCP servers:

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.

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 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 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.

Enables searching your local study notes, course code, and lecture PDFs, reading files and PDF pages, registering doubts, and tracking completed lessons. Also provides prompts to generate quizzes and weekly revision plans grounded in your own material with source citations.

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

Enables two or more Claude Code terminals on the same machine to communicate by registering and sending messages via the local filesystem.

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

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

Provides AI agents with persistent memory over MCP by indexing OKF Markdown notes in a Git repository and exposing tools for searching, reading, writing, organizing, and reviewing knowledge.

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.

Acts as a broker that lets an MCP client drive multiple Desktop Commander workers, with automatic connection recovery and protection against file writes colliding across sessions. It also provides a Windows setup/dashboard for installing dependencies, registering workspaces, starting the OpenAI tunnel, and monitoring workers, sessions, queues, and recent events.

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.

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.

Provides bounded MCP tools for AI agents to inspect, write, verify, and diff files in a sandboxed repository, requiring human approval and logging an audit trail.

Enables safe repository inspection and Docker-sandboxed command execution via MCP, with optional Codex handoff for implementation tasks.

Provides AI agents with secure, read-only file system access to analyze and understand project codebases, enabling multi-repository context aggregation and cross-project code tracing.

A memory, docs, and repo context layer for engineering agents, providing typed persistent memory, RAG document retrieval, and repository-aware tools to recall decisions, runbooks, and operational knowledge across sessions.

A Model Context Protocol server for interacting with Git repositories, extending mcp_server_git with custom tools to list repository directories and view file contents for easier codebase navigation.

Enables file extraction, organization, and GitHub repository management through MCP tools, allowing AI agents to copy/move files, delete repositories, and automate workflows.