"Lit" matching MCP servers:

Agent development tool-kit

MCP server for managing Git operations on local repositories, allowing users to list repositories, get and create tags, list commits, push tags, and refresh repositories through a standardized interface.

The Git MCP Server allows AI assistants to perform enhanced Git operations via the Model Context Protocol, supporting core Git functions, branch and tag management, GitHub integration, and more.

Enables on-demand generation of TypeScript tools using an LLM with human-in-the-loop approval and safe sandboxed execution. It allows users to create and persist custom functionality through natural language requests.

Enables users to attach child MCP servers, run sandboxed Python, and transfer large outputs via artifacts through one authenticated Streamable HTTP endpoint exposed by tunnel to a cloud chat client.

Turns any YAML manifest into a fully-functional MCP server without hosting infrastructure, enabling custom tools, resources, and prompts via declarative configuration.

An MCP server that exposes a sandboxed task runner protocol to any MCP client, enabling evidence-protected task execution, exit protocol reading, and autopsy reports.

Kernel-attached MCP server for Jupyter notebooks, enabling agents to manage cells, track dependencies, and execute code with minimal re-execution and condensed outputs.

Enables natural language control of AutoCAD LT through AutoLISP code generation and execution, allowing users to create engineering drawings with conversational prompts.

Provides a secure, sandboxed interface for LLM agents to interact with HPC clusters via bubblewrap isolation, managing workspaces and executing commands locally or through Slurm.

All-in-one 24-tool MCP runtime and 180-skill library providing protocol-level C4 workflow gates, cognitive reasoning engines, and safe execution for AI coding agents.

A comprehensive Model Context Protocol server providing access to 70+ IT tools for developers and system administrators, including encoding/decoding, text manipulation, hashing, and network utilities.

A FastMCP server that dynamically loads tools from Python/YAML file pairs, acting as a stand-in for the Tools Framework in agentic-assembly-framework.

MCP server that provides AI coding agents real Android development tools—Gradle, adb, logcat, lint, crash triage—through a local, permissioned interface. Enables agents to inspect projects, run safe Gradle tasks, capture logs/screenshots, and triage crashes.

Enables secure execution of bash, Python, and Node.js code in isolated Firecracker microVMs with configurable timeouts and no network access.

Enables natural language control of Siemens NX for text-to-CAD modeling, generating .prt files via NX Open API. Currently supports basic solids, booleans, and fillets in batch mode.

Provides AI agents with shell execution and file management capabilities on a development VM, including running commands and editing files via tools like run_command, read_file, and edit_file.

Enables local, Docker-isolated code execution across six programming languages including Python, Rust, and TypeScript. It features pre-warmed container pooling, persistent sessions, and built-in support for machine learning libraries.

A local MCP server for reading, writing, and executing Jupyter notebooks using jupyter_client for direct kernel communication.