"Agentic Wallet Guardian" matching MCP servers:

Captures an agentic asset's foundational record as a single asset-record.json, including creation facts and author-only confirmed metadata. Provides MCP tools to record, read, and finalize provenance during asset development.

Token-efficient skim-then-expand I/O for agentic models, enabling lossless reading of large files via skeletons and exact expansion with anchor IDs.

Enables AI coding agents to avoid irreversible mistakes by intercepting risky deletions, overwrites, and commands before execution, applying path, pattern, and blast-radius safeguards with quarantine backups.

A secure, highly capable MCP server written in Rust. It exposes a comprehensive suite of filesystem operations as tools for AI agents.

Acts as the 'Hands and Eyes' for an Autonomous AI Agent, bridging Large Language Models and your local development environment to enable safe file manipulation, context reading, command execution, and documentation verification.

Enables file IO operations and terminal commands via agentic actions using the MCP protocol.

Privacy firewall for AI agents that scans files, commits, and push URLs to prevent sensitive data leaks.

Enables ChatGPT Web Developer Mode to interact with local repositories through MCP, providing tools for file editing, shell execution, Git worktrees, semantic navigation, and checkpoints.

An MCP server that gives Claude read/write access to Chrome bookmarks for agentic reorganization, including tree analysis, folder proposals, batch operations with snapshots, deduplication, and dead-link detection.

A small filesystem MCP server that reads and writes files under one confined root over stdio, with paginated tools and strict change-detection. It enables safe, deterministic file access for agentic runtimes and MCP clients.

MCP server for agentic-first PDF review of LaTeX papers, enabling commenting, compiling, and visual inspection via Claude Code.

A bridge that enables the ChatGPT web interface to use local file and shell tools through the official MCP protocol, turning the workspace into an agentic coding environment.

Provides a human-in-the-loop security layer for AI agents by intercepting file operations, explaining them with a local LLM, and enforcing a deterministic policy that requires user approval for risky actions.

Remote execution layer for agentic systems exposing 64 production tools via MCP for file, network, system, text, git, crypto, and monitoring operations.

An agentic file-system assistant that lets users read, write, list, and search local files through natural language, using a LangChain agent with an Ollama LLM backed by a FastMCP server.

Enables AI agents to run shell commands, execute Python code, read and write files, search text, and create or delete folders through MCP stdio tools.

Enables AI agents to execute terminal commands and Python scripts, search and manage files, and create or delete folders through the Model Context Protocol.

An experimental MCP server that enables AI assistants to interact with VS Code workspaces through file operations, code execution, and Git management. It also provides tools for Docker integration, project scaffolding, and secure command execution using project-specific configurations.

Exposes DME storage O&M actions as MCP V1 tools, enabling management of storage modules such as SAN, NAS, and storage via natural language. It provides per-module MCP endpoints and a root server to enumerate available tools.

A production Model Context Protocol (MCP) server with 70+ tools, OAuth 2.1 authentication, and frame-based tool filtering.