"All items" matching MCP servers:

All In One Model Context Protocol: qdrant, google suite (gmail, calendar, ...), jira, gitlab, CLI, ...

A server that allows LLMs to run Claude Code with all permissions bypassed automatically, enabling code execution and file editing without permission interruptions.

A centralized Model Context Protocol server that provides common development tools (like formatting and translation) across all your Cline projects without needing to install them individually.

Gives an AI agent its own fleet of disposable Linux microVMs on hardware you control, with tools to spawn, execute commands in, fork from identical disk states, list, and destroy them. Enables safe parallel exploration and cleanup all within an isolated VM boundary.

Aggregates tools from multiple upstream MCP servers and exposes them through 4 meta-tools, enabling LLMs to discover and use hundreds of tools without loading all schemas upfront.

A boilerplate project for quickly developing Model Context Protocol (MCP) servers using TypeScript SDK, with examples of tools (calculator, greeting) and resources (server info).

Gives any MCP-compatible AI chat or agent a safe, model-neutral coding runtime with file read/search, structured multi-file patches, command execution, interactive sessions, and git operations, all confined to a single workspace and gated by permission modes.

Provides a persistent JavaScript kernel that treats any configured MCP server as a capability catalog, exposing all its tools to the model through just two tools (js and js_reset) while keeping the model-visible schema small and injecting host parameters like projectPath.

Enables agents to provision isolated Kubernetes runtimes where they can write files, run commands, start long-lived processes, and publish apps at authenticated URLs, all backed by per-user durable storage that outlives any runtime.

Enables remote AI agents to read, patch, and (opt-in) execute commands in a local workspace, with all actions approved locally and fully audited.

An all-in-one MCP server providing complete AI agent capabilities including file operations, code execution (Python/Node.js), one-click web deployment with wildcard domain support, Excel/CSV processing, and image generation in isolated multi-tenant workspaces.

A test server implementing all features of the MCP protocol, including prompts, tools, resources, and sampling, designed for testing MCP clients rather than practical applications.

A minimal CRUD API for items that exposes FastAPI endpoints as MCP tools, enabling natural language interaction with a database through PydanticAI agents.

A Model Context Protocol (MCP) server that enables seamless integration between MATLAB and MCP-compatible applications like Claude Code. Execute MATLAB code, manage workspace variables, create plots, handle data I/O, and more - all through a token-efficient MCP interface.

Universal MCP server for executing TypeScript and Python code with progressive disclosure, reducing token usage by 98% by enabling on-demand access to all other MCP tools through code execution rather than loading tool definitions directly.

Enables efficient code execution in a secure sandbox with 98.7% token reduction by allowing agents to write JavaScript/TypeScript code to interact with tools, process data, and maintain state instead of loading all tool definitions into context.

A sandboxed MCP server for agents that provides file read/edit, code intelligence, search, allowlisted command execution, package lookups, persistent memory, and VPS channel clients, all confined to C:\Work.

Enables direct interaction with a SQLite database through custom-mapped tools for creating and retrieving items. It provides structured, AI-optimized responses and manual control over database operations without requiring external API dependencies.

A secure Docker-based environment that allows AI assistants to safely execute code without direct access to the host system by running all code within isolated containers.

Enables AI agents to drive a running Roblox Studio in real time over a single WebSocket, executing whole Luau programs, installing in-engine controllers, hot-patching scripts during live playtests, and receiving errors, assertions and other events as pushes. It also reaches Roblox Open Cloud for the open place and answers visual questions via a vision sidecar, exposing all of this through nine MCP tools.

A FastMCP server that enables AI agents to safely execute shell commands, run code in Python/Node.js/Go, and install packages, all packaged in Docker for secure deployment.

Provides agents with real Linux VMs to run commands, manage files, expose ports, and track costs, all through an ephemeral sandbox service.

Provides AI coding agents a full abap2UI5 development loop—writing ABAP classes, validating views, deploying, and running apps headless with screenshots—all locally without an SAP system.

yade-mcp connects AI agents to YADE — the open-source discrete element method engine — through the Model Context Protocol. Browse API docs, run simulations, and execute code, all through natural conversation.

Enables AI agents to run a project's pytest, unittest, jest, or vitest suites and get back compact structured results with trimmed tracebacks, collection errors kept apart from real failures, and the slowest tests. Agents can then re-run just the failures, expand one failure with local variables, repeatedly execute a single test to judge flakiness, and inspect Python coverage gaps, all under a hard timeout that kills the whole process tree.

Enhanced fork of Google's Colab MCP, pre-registers all 7 notebook tools at startup (get_cells, add/run/update/delete/move_cell, add_text_cell), adds programmatic GPU control (T4/L4/A100) via OAuth, and fixes the "Disconnected from local server" issue with IPv4-only bind, PNA CORS headers, and stale-tab dedup. Works on Chrome, Edge, Windows, macOS, Linux.

Warden provides a trusted skill brain for open agents, enabling secure execution of curated, cryptographically-signed skills with sandboxing, trust scoring, and transparency logging, all with zero third-party dependencies.

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 Model Context Protocol server that automatically reads the Claude Desktop configuration file and presents all available MCP services in an easy-to-copy format at the top of the tools list.

An MCP server that executes tox commands to run Python tests within a project using pytest, allowing users to run all tests or specific test groups, files, cases, or directories.