Best Model Context Protocol (MCP) (2026)

1

File Convert MCP Server

MCP server for converting files between a wide range of formats via AI agents.

4.8 (6)

· free

Повний оглядВідвідати

File Convert MCP Server is a Model Context Protocol server that lets AI assistants and agent workflows handle file conversion tasks on demand. By exposing conversion capabilities through MCP, it allows tools like Claude, Cursor, or custom agents to transform documents, images, audio, and other file types without manual intervention. The server is designed to be format-agnostic, routing requests to the appropriate conversion logic based on input and target type. This makes it suitable for automating document pipelines, preparing assets, or normalizing data formats inside larger agentic systems.

• MCP-compliant server interface
• Multi-format file conversion support
• Works with documents, images, audio, and more
• Agent-friendly tool definitions
• Local execution for file privacy
• Composable with other MCP servers

2

OracleNet by ToolOracle

Compliance, trust, and settlement mesh connecting autonomous AI agents to MCP servers and tools.

4.8 (4)

· free

Повний оглядВідвідати

OracleNet by ToolOracle is an infrastructure layer designed for autonomous AI agents that need to discover, verify, and transact with external tools and services. It aggregates 98 MCP (Model Context Protocol) servers and roughly 1,147 tools into a unified mesh, handling identity, policy, and settlement so agents can act without bespoke integrations for each provider. The platform focuses on three pillars: compliance checks that gate which tools an agent may invoke, trust signals that help agents evaluate tool reliability, and settlement rails that resolve usage, billing, and audit trails. This makes it suitable for teams deploying agent fleets in regulated or multi-vendor environments where accountability matters. Because OracleNet sits between agents and the broader tool ecosystem, it is best understood as middleware rather than an end-user product, and value depends on the breadth and quality of the connected MCP catalog.

• Unified access to 98 MCP servers
• Directory of ~1,147 connected tools
• Compliance and policy gating for agent actions
• Trust scoring across tool providers
• Settlement and billing reconciliation
• Audit logging for agent activity

3

MCP.so

A community directory for discovering and sharing Model Context Protocol servers and clients.

4.8 (4)

· free

Повний оглядВідвідати

MCP.so is a directory dedicated to the Model Context Protocol (MCP) ecosystem, indexing servers, clients, and related projects that extend AI assistants with external tools, data sources, and integrations. It aims to be a central hub where developers can browse, submit, and explore MCP-compatible resources. The site organizes listings by category and use case, making it easier to find servers for tasks like file access, database queries, web search, productivity apps, and developer tooling. Entries typically include descriptions, links, and setup details to help users get started quickly. For builders working with MCP-enabled assistants such as Claude or other compatible clients, MCP.so serves as a reference point to discover what's available and to share their own projects with a wider audience.

• Browsable directory of MCP servers and clients
• Categorized listings and search
• Community submission of new projects
• Links to source repos and setup info
• Coverage of popular integrations and tools

4

AgentKey

Connect AI agents to web search, social media, and blockchain data through a unified API.

4.6 (5)

· free

Повний оглядВідвідати

AgentKey is an integration layer that gives AI agents access to external data sources without requiring developers to wire up each service individually. It exposes tools for web search, social media platforms, and on-chain blockchain data behind a single API surface, making it easier to build agents that can research, monitor, and act on real-world information. The service is aimed at developers building autonomous agents, trading bots, research assistants, and analytics workflows. By standardizing how agents call out to third-party data, AgentKey reduces boilerplate and helps teams ship multi-source agent applications faster.

• Web search integration for agents
• Social media data access
• On-chain blockchain data queries
• Single API for multiple providers
• Built for autonomous agent workflows
• Developer-friendly endpoints

5

VirtualSMS

Real-SIM phone verification API for AI agents across 145+ countries and 2,500+ services.

4.5 (6)

· free

Повний оглядВідвідати

VirtualSMS provides programmatic access to real SIM-based phone numbers for SMS verification, enabling AI agents and automated workflows to complete signups and identity checks that require a working mobile number. Coverage spans over 145 countries and 2,500+ online services, with numbers exposed through a simple API. The platform is built for developers integrating verification into bots, scrapers, testing pipelines, or autonomous agents that need to register accounts at scale. Users can request a number, receive the inbound SMS code, and release the number, paying only for successful verifications in most cases. It is positioned as infrastructure rather than an end-user app, so teams typically embed it into their own agent stacks or QA tooling.

• REST API for number rental and SMS retrieval
• Coverage in 145+ countries
• Support for 2,500+ online services
• Short-term and reusable number options
• Designed for AI agent and automation use cases
• Programmatic release and reassignment of numbers

6

Speechlab MCP Server

MCP server connecting AI assistants to Speechlab's dubbing and translation APIs.

4.5 (4)

· free

Повний оглядВідвідати

Speechlab MCP Server is an integration layer built on the Model Context Protocol that lets AI assistants like Claude communicate directly with Speechlab's audio and video localization platform. It exposes Speechlab's dubbing, transcription, and translation capabilities as callable tools that an LLM can invoke during a conversation. Developers can use it to automate multilingual content workflows, trigger dub jobs, check project status, and retrieve translated media without leaving their assistant interface. By following the open MCP standard, the server can be plugged into any compatible client, making it easier to embed Speechlab functionality into agentic pipelines and custom AI applications.

• MCP-compliant server interface
• Access to Speechlab dubbing endpoints
• Translation and transcription tool calls
• Project and job status queries
• Compatible with Claude and other MCP clients
• Scriptable for agent-based automation

7

Elastic Email MCP

Connect AI assistants to Elastic Email for sending, managing and analyzing email campaigns.

4.2 (5)

· free

Повний оглядВідвідати

Elastic Email MCP is a Model Context Protocol server that exposes Elastic Email's platform to AI assistants like Claude, ChatGPT and other MCP-compatible clients. Once connected, your AI tool can act as a personal email agent, handling tasks such as sending messages, managing contacts and pulling campaign data through natural language requests. It is aimed at marketers, developers and small teams who want to automate routine email workflows without writing custom API integrations. The MCP layer translates conversational instructions into authenticated Elastic Email API calls, letting users draft, schedule and review email activity from inside their preferred AI interface.

• MCP server for Elastic Email API
• Send transactional and campaign emails via AI
• Contact and list management commands
• Campaign analytics and reporting access
• Compatible with Claude, ChatGPT and other MCP clients
• Natural language email automation