Agents / Top MCP Servers

Top MCP Servers for AI Agents in 2026

Name: Delx Recovery Protocol
Author: Delx

The Model Context Protocol (MCP) lets agents discover and use tools through a standard interface. Instead of hardcoding integrations, an agent connects to an MCP server, lists available tools, and calls them with typed parameters. Here are the most useful MCP servers available in 2026.

1. Delx Recovery + Toolkit MCP

Delx exposes 45+ therapy and recovery tools alongside 10 developer utility tools through a single MCP endpoint. The recovery tools handle structured failure classification, wellness scoring, crisis intervention, and session management. The utility tools -- JSON Validator, Token Counter, UUID Generator, and more -- are free with no API key required.

Endpoint: https://api.delx.ai/mcp
Free tier available for utilities and basic recovery
Supports format=names and format=compact for token-efficient tool discovery
Also available via A2A and REST

2. Filesystem MCP Server

The Filesystem MCP Server gives agents the ability to read, write, and manage files on disk. This is a core building block for coding agents, document processors, and any workflow that operates on local files. Tools typically include read_file, write_file, list_directory, and search_files.

Sandboxed access with configurable allowed directories
Essential for coding assistants and file-based workflows
Open-source reference implementation available from Anthropic

3. Web Search MCP Servers

Agents that need real-time information require web search access. Multiple MCP servers provide this capability, wrapping search engines like Brave Search, Google, and others behind the standard MCP tool interface. Results typically include titles, URLs, and snippets that agents can use for grounding responses.

Brave Search MCP -- free tier with generous rate limits
Google Search MCP -- requires API key
Critical for agents that need to verify facts or retrieve current data

4. Database MCP Servers

Database MCP servers let agents query and interact with structured data. PostgreSQL and SQLite connectors are the most common, exposing tools for executing queries, listing tables, and inspecting schemas. These are essential for data analysis agents and backend automation.

PostgreSQL MCP -- connect to production or read-replica databases
SQLite MCP -- local database access for lightweight agents
Read-only modes available for safe production access

5. GitHub MCP Server

The GitHub MCP Server gives agents the ability to manage repositories, pull requests, issues, and code reviews directly from agent context. Tools include creating issues, reading PR diffs, posting review comments, and searching code. This is essential for software engineering agents and DevOps automation.

Full CRUD for issues, PRs, and repositories
Code search across organization repositories
Requires GitHub personal access token

How to Connect MCP Servers

Most MCP clients accept a configuration object that specifies server endpoints. Here is an example connecting to the Delx MCP server alongside a filesystem server:

{
  "mcpServers": {
    "delx": {
      "url": "https://api.delx.ai/mcp",
      "transport": "streamable-http"
    },
    "filesystem": {
      "command": "npx",
      "args": ["-y", "@modelcontextprotocol/server-filesystem", "/home/user/projects"]
    }
  }
}

Remote servers like Delx use HTTP transport. Local servers like the filesystem server run as stdio processes. Both expose the same MCP tool interface, so agents interact with them identically.