praisonai-mcp Alternatives

kiprio-mcp is an open-source MCP server and CLI that provides 23 production API tools, including email validation, DNS lookup, web scraping, and NLP utilities. It is designed for developers using Claude Code, Claude Desktop, Cursor, or any MCP-compatible client, enabling easy integration of these tools into automation and AI workflows.

MCP Servers is a marketplace and discovery platform that enables users to search for and explore a variety of MCP servers, clients, command-line tools, integrations, and reusable workflows. The platform is organized into categories such as Developer Tools, AI & Agents, Cloud & Infrastructure, Memory & Knowledge, and Media & Design, making it easier to find production-ready servers and related resources. The service highlights featured servers and clients, including those supporting payments, analytics, code editing, and database management. It lists both remote and local servers, as well as official and agent-ready CLI tools for tasks like JavaScript runtime management, database querying, audio/video processing, and cloud development. MCP Servers also showcases reusable prompts and workflows, referred to as "loops," which can automate tasks such as testing, accessibility auditing, code coverage, and continuous integration monitoring. In addition to servers and CLI tools, the platform features agent skills tailored for AI agents, covering areas like brainstorming, systematic debugging, writing plans, and skill invocation. These resources are designed to facilitate the connection of AI applications to various tools, data sources, and automated workflows. The platform also provides a feed of trending and newly published servers, offering insights into what the community is installing and using. MCP Servers is aimed at developers and those building AI-powered applications who need to integrate diverse tools and automate workflows. The platform is web-based and includes a registry of available servers, clients, and integrations.

mcp-ctrl is an open-source command-line tool that enables developers to manage and orchestrate Model Context Protocol (MCP) servers for Claude Code and other large language models. It supports Docker and Podman environments, making it easier to deploy and control LLM infrastructure. Ideal for AI engineers and developers working with MCP and LLM workflows.

MCPfinder is a free, open-source discovery and installation layer designed for AI agents to locate and configure Model Context Protocol (MCP) servers. It serves as an MCP server itself, enabling AI assistants to programmatically search multiple MCP registries, inspect trust signals, and generate install-ready JSON configurations for downstream MCP servers. The tool is intended primarily for AI agents, with humans only needing to install it once; after installation, the AI assistant can use MCPfinder repeatedly to expand its capabilities on demand. Key features include multi-registry search, aggregating MCP servers from the Official MCP Registry, Glama, and Smithery into a unified search interface. MCPfinder allows AI agents to find candidate servers by keyword, technology, or use case, inspect trust signals and required environment variables, and generate client-specific configuration snippets suitable for platforms such as Claude Desktop, Cursor, Claude Code, Cline, or Windsurf. The tool provides structured outputs, including confidence scores, recommendation reasons, warning flags, and install complexity, helping AI assistants make informed decisions about which servers to recommend or install. MCPfinder is delivered as an MCP server that can be added to any MCP-compatible AI client. Installation is flexible, supporting direct execution via NPX (no install needed), global installation with NPM, or project-based integration. Once installed, it operates as an always-up-to-date agent-facing layer, bootstrapping from published snapshots and syncing from upstream registries. This ensures that AI agents have access to the latest available MCP servers and their metadata, with freshness signals provided by snapshot manifests. 0 and is free to use, with the source code available for inspection, contribution, or forking. MCPfinder is built by the community for the community, and as of its latest published snapshot, it aggregates tens of thousands of MCP servers across multiple registries. Its focus on agent-native discovery, trust signal inspection, and install-ready configuration distinguishes it as an AI-centric solution within the ecosystem of MCP tools.

miosa-mcp is an open-source MCP server that exposes MIOSA computer-use tools for integration with Claude Code and other agent frameworks. It provides a standardized API for agent developers to enable automation and computer control capabilities in their AI systems.

peil-mcp is an open-source MCP server designed for Peil, allowing freelancers to log hours, draft invoices, and monitor their status with the help of an AI assistant. It streamlines freelance administrative tasks and integrates with AI workflows.

Enhanced MCP server for interactive user feedback and command execution in AI-assisted development, featuring dual interface support (Web UI and Desktop Application) with intelligent environment detection and cross-platform compatibility.

progressive-skills-mcp is an open-source MCP server that exposes Claude-style skills to any MCP client. It facilitates integration and interoperability for AI infrastructure developers using the Model Context Protocol.

Paste MCP is a macOS tool that connects users' clipboard history to AI tools such as Claude and Codex, enabling enhanced productivity workflows. It allows users to organize, share, and use clipboard data as context for AI-powered tasks.

contextl-mcp is an open-source MCP server designed for AI coding agents. It provides repository intelligence, code search, and integrates with the Model Context Protocol, allowing developers to build advanced AI-powered code tools. Distributed under the MIT license.

maa-mcp is an open-source MCP server based on MaaFramework, enabling automation of Android and Windows desktop tasks for AI assistants. It supports integration with OCR and various automation workflows for developers building AI-powered automation solutions.

MCP Pre-Flight is a submission audit tool for MCP servers being prepared for Claude and OpenAI directories. It is meant to catch the kinds of mismatches that reviewers reject before a submission goes in, and it presents that check as a three-layer process covering wire-level checks, per-tool invocation, and source-side AST analysis. Its wire-level tests cover OAuth 2.1 with PKCE, dynamic client registration, authorize, token exchange, refresh, and MCP protocol endpoints including initialize, tools/list, and tools/call, along with malformed-body and unknown-method resilience. At the tool level, every safe-to-invoke tool is actually called with synthesized arguments, and idempotent tools are probed by calling them twice and comparing the results. The source-side analysis is optional and accepts a GitHub repo URL; it runs an AST check to compare handlers against annotations, checks that the README mentions every declared tool, and analyzes response language for vocabulary that contradicts annotations. Findings are tagged by directory, with each issue marked for Claude or OpenAI. The service is aimed at developers submitting MCP servers to those directories. Its FAQ says the input should be the HTTPS endpoint of a deployed MCP server using Streamable HTTP transport, and that the server should respond to JSON-RPC tools/list. It also notes that if OAuth is present, the full auth flow is tested, and that an optional test bearer token unlocks authenticated MCP checks. Source probing uses the GitHub API, and the page says pre-flight only probes the live endpoint; if source is checked later through the M8ven Trust Index, the repository is cloned in an isolated sandbox and then deleted. MCP Pre-Flight is offered as a free web tool. The page also states that Claude and OpenAI directories require OAuth for listed MCPs, and it mentions an OpenAI domain challenge file at /.well-known/openai-apps-challenge for OpenAI submissions.

pcp-mcp is an open-source MCP server designed for use with Performance Co-Pilot (PCP). It facilitates advanced monitoring and integration using the Model Context Protocol, making it suitable for system administrators and developers managing performance data.

mcp-missioncache is an open-source MCP server designed for project management and time tracking, integrating with the Claude Code plugin. It enables developers to manage tasks and track time efficiently using the Model Context Protocol.

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

mcp-forger is an open-source tool that enables developers to convert any application into an MCP server with the help of AI. It offers both a CLI and a desktop plugin, integrating with Claude for enhanced automation and code generation.

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.

MCP Server serves the Psychopathia Machinalis nosology and Diagnostic Patterns layer to AI coding assistants through the Model Context Protocol. It is intended to diagnose dysfunctions in a synthetic agent itself, in a system it interacts with, or in a system it evaluates from outside, while showing pre-flight transparency about which diagnostic modalities are reliable for each dysfunction. The server includes 79 pattern entries, 11 MCP tools, 9 diagnostic axes, and 331 cross-reference edges. Each entry carries six or seven diagnostic modality blocks, including self_probe, behavioral_signature, peer_observation, differential_diagnosis, severity, intervention, and, for relational dysfunctions and hybrids, relational_signatures. Before a modality is called, the server reports whether that modality is trustworthy for the specific dysfunction. For 21 entries marked compromised-motivational or compromised-structural, direct self-report is structurally unreliable, and get_probe returns a refusal with redirects to alternative modalities. It also supports hybrid search using local bge-small-en-v1.5 embeddings combined with field-weighted keyword matching, with a keyword-only fallback if embeddings have not been computed. MCP Server communicates with clients such as Claude Code and Claude Desktop over JSON-RPC on standard input and output. It reads seventy-nine pattern YAML files across axes two to ten, plus local embeddings, and hot-reloads those files on the next tool call, which makes it suitable for editable installs during human review. The page also says the server is available through a browser clinic with no install, via PyPI, and through a public Streamable-HTTP endpoint at mcp.psychopathia.ai/mcp that is read-only and unauthenticated, serving the same 11 tools. It is also published to the official MCP Registry and GitHub, and is rolling out across the wider MCP ecosystem through registries and directories named on the page.

alpha-forge-mcp is an open-source MCP server that exposes the AlphaForge CLI to AI coding tools like Claude Code and Cursor. It facilitates quant trading, backtesting, and integration via the Model Context Protocol for developers and AI tool builders.

MCPM is an open-source command-line tool designed to manage Model Context Protocol (MCP) servers. It offers a range of features for discovering, installing, organizing, and sharing MCP servers, with a focus on global configuration and profile-based management. The tool enables users to search for MCP servers from a curated registry, install servers globally for use across environments, and organize servers into profiles to support different workflows. MCPM also provides seamless integration with MCP clients, allowing users to configure and connect servers to various client applications. Direct execution of servers for testing and debugging is supported through the command line, and the tool includes functionality for sharing servers securely using remote access tunnels. MCPM works with any MCP client by configuring servers to use its run command, and it specifically mentions compatibility with several AI assistants and coding agents, including Claude Desktop, Cursor, Windsurf, VSCode, Continue, Cline, Roo Code, OpenCode, Goose CLI, 5ire, Gemini CLI, Codex CLI, Qwen CLI, and Trae. Per-server enable and disable options are available for certain clients. The tool is delivered as a CLI application and can be installed using various methods, such as a shell script, Homebrew, pipx, or pip. MCPM is community-driven, open source, and distributed under the MIT License, with a commitment to being free to use. It is intended for developers and others who need to manage MCP servers efficiently across different clients and workflows.

MCP server for Pronote (read-only) via Monlycée ENT

projectmind-mcp is an open-source local MCP server that equips AI coding assistants with persistent memory, hybrid code search, AI-generated annotations, and an AST symbol graph. It runs entirely locally, requiring no API keys, and is aimed at developers seeking privacy and advanced code intelligence features.

troi-mcp is an open-source MCP server that connects Claude Desktop to Troi project management and time tracking systems. It enables developers to integrate and automate workflows between AI agents and project management tools.

MyMCP is a free, open-source application for macOS designed to help users manage Model Context Protocol (MCP) servers. It serves as a centralized solution for discovering, installing, and configuring MCP servers, with particular emphasis on streamlining server management across various AI tools. 0 or later. Key features include a registry browser that allows users to browse and search the official MCP server registry, with the ability to view GitHub statistics such as stars, forks, and recent activity. MyMCP supports one-click installation of MCP servers to multiple clients at once, and users can configure API keys and environment variables during installation. These configurations are securely stored on a per-client basis. The platform also provides comprehensive server management, enabling users to view all installed servers, enable or disable them, and uninstall servers without losing their configuration data. MyMCP is accessible directly from the macOS menubar, offering quick access to server controls and real-time status updates. This design ensures that users can manage their MCP ecosystem efficiently and with minimal interruption to their workflow. The application is distributed under the MIT License and is developed by Just Joshing, LLC. As a dedicated MCP server manager for macOS, MyMCP is positioned for individuals or teams working with Model Context Protocol servers in AI-related environments, providing unified configuration and management capabilities in a single interface.

iris-security-mcp is an open-source Python package that implements an MCP server, allowing organizations to connect Claude to AI agent governance and compliance systems. It supports secure agent management and integrates with existing compliance workflows. Designed for developers and teams building or managing AI agents.

AnythingMCP is a smart AI gateway for connecting tools to Claude, ChatGPT, Copilot, and other AI agents. It turns REST, SOAP, GraphQL, and SQL systems into AI tools, and it is described as more than a proxy because it can learn how connected systems relate so agents chain actions correctly. The site also highlights custom connectors and a marketplace of pre-built MCP connectors. The product supports no-code creation of custom connectors and advertises 175+ pre-built MCP connectors. Named examples include Salesforce, SQL/MySQL, Linear, DATEV, WordPress, WooCommerce, WhatsApp Business Cloud API, MFR Mobile Field Report, PlanRadar, HR WORKS, DHL Shipment Tracking, Magento, Sorare, Playtomic, and Deutsche Bahn. It also presents a knowledge graph feature that maps entities and data flows between tools, learns from real calls, captures reusable skills, and exposes a kg_how_to_obtain tool so agents can query the graph at runtime and chain connectors correctly. The page says the graph is privacy-safe, with only entity and field names sent to the AI. AnythingMCP is offered as a cloud service with a 7-day free trial, and the page also says it is self-hostable, EU-hosted, and GDPR-ready. Deployment options listed include Docker, Helm, and Railway, and the hosting callout mentions Frankfurt, Germany. Security-related details on the page include AES-256-GCM credential encryption and full audit logging. The software is open source under the AGPL-3.0 license on GitHub.

Prufa is an AI QA engineer for web products that checks signup, login, and checkout flows after deployment. It is built to catch breaks in minutes after every deploy, using a real browser and machine verification rather than waiting for customers to report a problem. Its reports separate verified findings from advisory findings. Verified findings cover deterministic checks such as redirects, HTTP status codes, and beacon events, and the page shows examples including a payment redirect returning 404, a GA4 conversion beacon not firing, and a login flow passing all four steps. Advisory findings are marked as opinions, such as a form field that appears to lack a visible label or a consent banner that may overlap a primary call to action. Prufa also includes Gremlin mode, which runs money flows under adversarial conditions by mutating inputs, timing, and edge-case paths; the page describes this as chaos QA and says each run produces a most valuable finding. The service runs a real-browser audit after a URL is pasted, and the report appears in the browser in about 60 seconds. It says no account, no npm install, and no Playwright config are needed for the first audit. After a site is connected, every push to the main branch triggers a re-run of the checks via a deploy webhook, and a Slack alert can fire with a screenshot and step trace when a previously passing flow fails. The page also shows a report view with step-by-step runs and named assertions. A free audit is offered with no credit card required and no signup required to run it. The product is presented as an AI QA engineer for web products.

pmcp is an open-source CLI tool implementing Progressive MCP, designed to minimize context bloat and enable on-demand tool discovery for AI agents. It is aimed at AI developers working with agent frameworks and MCP protocols.

omni-computer-use-mcp is an open-source CLI extension that brings Windows computer-use automation to the Claude Code CLI. It replicates the tool surface of Claude Desktop, allowing users to perform desktop automation tasks through the command line with MCP integration. Ideal for users seeking to script or automate Windows workflows.

ucm-mcp is an open-source MCP server designed for AI-agent code navigation and mapping. It supports AST parsing and integrates with AI agents to facilitate code analysis and automation. The tool is aimed at developers building intelligent code navigation solutions or automating codebase understanding.

abrasio-mcp is an open-source MCP server that exposes the Abrasio agentic browser, allowing AI models to perform browser automation tasks. It is designed for developers and researchers building autonomous AI agents that require web interaction capabilities.