AgentSlack MCP Server Alternatives

Minimal stdio MCP server for parallel task execution by AI agents

Synchronize MCP server configurations across 20+ AI agents

slack-mcp is an open-source Python implementation of an MCP server designed for integration with Slack. It allows developers to automate workflows and messaging using the Model Context Protocol. The package is MIT licensed and suitable for bot and automation developers.

Simple MCP Client to quickly test and explore MCP servers from the command line

Convert MCP server tools into hierarchical CLI commands and agent Skills

MCP server that diagnoses why your agent behaved the way it did, and how to fix it

Works With Agents MCP Server — 14 native tools for AI agent infrastructure. Facts, Pitfalls, Skills, Handoff Protocol, Blueprint Registry, Trust Scores, Identity Verification, SLA Validation, Compliance-as-Code.

MCP Server for Claude Desktop - Agent OS kernel primitives including code safety verification, CMVK multi-model review, and IATP trust

agentdrive-mcp is an open-source MCP server designed for use with Claude Code, enabling agent-driven automation and integration via API. It is suitable for developers building automation systems and agent frameworks.

Agent-feels-local SSH orchestration MCP server — persistent bash, hash-protected editing, SFTP, tunnels, multi-host orchestration over AsyncSSH

MCP server for Link local agent memory — remember, recall, search, context, and graph traversal

Thin CLI + MCP client for Agent-CoreX — execute any task with a single query

Instaply MCP server — local-first agentic job applications inside Claude Desktop / Claude Code / Codex and other local MCP clients. Runs Playwright on your residential IP so captcha and rate-limit walls disappear.

MCP server launcher for Haxaml.

AI-powered security code review MCP server for Claude Code — combines CodeQL, Semgrep (5,000+ rules), bandit, detect-secrets, Dependabot CLI, osv-scanner, Trivy (Docker image scanning), pip-audit, and npm-audit

Security scanner for MCP (Model Context Protocol) servers - pentest your AI agent's tool connections

Agentic Model Context Protocol server for NetBox — read-only, tool-rich, built for LLM reasoning workflows

MCP (Model Context Protocol) server for pyscn Python code analyzer

AgentX - Native compiled Python agent framework

MCP server for psamvault — lets AI agents use stored credentials without seeing them.

agentsync-mcp is an open-source Python package for decentralized coordination among AI agents. It enables agents to claim work, survey peers, detect conflicts, and reconcile changes using the Model Context Protocol (MCP) and git branch operations. Ideal for developers building distributed agent systems.

Agent MCP Studio is a free, browser-based platform for building, running, and exporting Model Context Protocol (MCP) tools and AI agents. It enables developers to specify tools in natural language, generate code with LLMs, and run agents entirely in the browser or via Docker. Designed for AI developers and researchers.

agent-brain-ag-mcp is an open-source Model Context Protocol (MCP) server that exposes Agent Brain as MCP tools, resources, and prompts. It enables developers to integrate Agent Brain capabilities into agent-based applications, supporting RAG workflows and Claude integration. Ideal for AI developers seeking extensible agent frameworks.

MCP server that exposes a Telegram bot

Deterministic MCP-first browser automation runtime for coding agents

Local MCP server exposing MacWhisper transcription to Claude Desktop.

Turn any MCP server or OpenAPI spec into a CLI

A Langgraph agent API server that implements Langgraph agent's web capabilities and can interact with chatbot

Agent-neutral MCP server — SQLite store, Postgres knowledge base, Kart task queue

MCP server that analyzes codebases and generates AGENTS.md files

mcp-agent-handoff is an open source portable MCP server designed for managing agent handoff states and review tracking in AI agent workflows. It implements the MCP protocol and can be self-hosted for integration into agentic systems.

MCP server for Sentinel QA — manage test cases from any AI assistant

MCP server for LibreNMS management

MCP server that bridges Claude Desktop to Claude Code sessions

Agent runner for clawmeets multi-agent collaboration

Observable agent workspace control plane for MCP servers, FastMCP gateways, packs, profiles, skills, prompts, resources, and client syncs.

Claude-powered agent that manages ServiceNow incidents using MCP and AWS Bedrock

Agent security mesh: 27-endpoint proxy + 12 framework SDKs + coding-agent hooks, composing 54 Tessera modules with SPIRE, agentgateway, and OpenTelemetry.

<!-- ~ Copyright (c) 2025-2026 Datalayer, Inc. ~ ~ BSD 3-Clause License --> [](https://datalayer.io) [](https://github.com/sponsors/datalayer) # 🧰 Agent Skills [](https://pypi.org/project/agent-skills) **Reusable Agent Skills**: Create, manage, and execute reusable code-based tool compositions for AI agents. For more information, see the [Agent Skills community website](https://agentskills.io), the [specification](https://agentskills.io/specification), and the [integration guide](https://agentskills.io/integrate-skills). ## Overview Agent Skills provides a simple and powerful way for AI agents to build their own toolbox. Skills are Python files that compose MCP tools and other skills to accomplish specific tasks. Agent Codemode consumes skills from this package. If you are using agent-codemode, import skill utilities from `agent_skills`. ### How It Works 1. **Skills are code files**: Python files in a `skills/` directory with asyn