MCP Integration¶

RobotLab supports the Model Context Protocol (MCP) for connecting to external tool servers.

What is MCP?¶

MCP is a protocol that allows LLM applications to connect to external servers that provide tools, resources, and context. This enables:

Reusable tool servers across applications
Separation of tool logic from AI logic
Dynamic tool discovery

Configuring MCP Servers¶

At Robot Level¶

Use the mcp: parameter on RobotLab.build to connect a robot to MCP servers:

robot = RobotLab.build(
  name: "coder",
  template: :developer,
  mcp: [
    {
      name: "filesystem",
      transport: {
        type: "stdio",
        command: "mcp-server-filesystem",
        args: ["--root", "/home/user/projects"]
      }
    },
    {
      name: "github",
      transport: {
        type: "stdio",
        command: "mcp-server-github",
        env: { "GITHUB_TOKEN" => ENV["GITHUB_TOKEN"] }
      }
    }
  ]
)

In Template Front Matter¶

MCP servers can be declared directly in a template's YAML front matter, making the template fully self-contained:

prompts/github_assistant.md

---
description: GitHub assistant with MCP tool access
mcp:
  - name: github
    transport: stdio
    command: npx
    args: ["-y", "@modelcontextprotocol/server-github"]
---
You are a helpful GitHub assistant with access to GitHub tools via MCP.

# MCP config comes from the template — no mcp: parameter needed
robot = RobotLab.build(template: :github_assistant)

Constructor mcp: overrides frontmatter mcp: when provided.

Hierarchical Configuration¶

The mcp: parameter supports three modes:

Value	Behavior
`:none`	No MCP servers (default)
`:inherit`	Inherit from network or global config
`[...]`	Explicit array of server configurations

# Inherit from network/config
robot = RobotLab.build(
  name: "reader",
  system_prompt: "You help read files.",
  mcp: :inherit
)

# Disable MCP explicitly
robot = RobotLab.build(
  name: "calculator",
  system_prompt: "You do math.",
  mcp: :none
)

Resolution Order¶

MCP configuration resolves through a hierarchy: runtime > robot build > network > global config. Each level can override the previous:

Global (RobotLab.config.mcp)
  -> Network (task mcp: [...])
    -> Robot (mcp: :inherit | :none | [...])
      -> Runtime (robot.run("msg", mcp: [...]))

Transport Types¶

Stdio Transport¶

Communicate via stdin/stdout with a subprocess:

{
  name: "server_name",
  transport: {
    type: "stdio",
    command: "mcp-server-command",
    args: ["--option", "value"],
    env: { "API_KEY" => ENV["API_KEY"] }
  }
}

WebSocket Transport¶

Connect via WebSocket:

{
  name: "remote_server",
  transport: {
    type: "websocket",
    url: "ws://localhost:8080/mcp"
  }
}

Dependency Required

WebSocket transport requires the async-websocket gem.

SSE Transport¶

Server-Sent Events transport:

{
  name: "sse_server",
  transport: {
    type: "sse",
    url: "http://localhost:8080/sse"
  }
}

HTTP Transport¶

Streamable HTTP transport with session support:

{
  name: "http_server",
  transport: {
    type: "streamable_http",
    url: "https://api.example.com/mcp",
    session_id: "optional_session_id",
    auth_provider: -> { "Bearer #{fetch_token}" }
  }
}

Using MCP Tools¶

Once configured, MCP tools are automatically discovered and made available to the robot. The robot connects to MCP servers on its first run call and discovers tools dynamically:

robot = RobotLab.build(
  name: "helper",
  system_prompt: <<~PROMPT
    You can help users with GitHub tasks.
    Use available tools to search repositories, create issues, etc.
  PROMPT,
  mcp: [
    { name: "github", transport: { type: "stdio", command: "mcp-server-github" } }
  ]
)

# MCP tools are automatically available
result = robot.run("Find repositories about machine learning")
puts result.last_text_content
    You can help users with GitHub tasks.
    Use available tools to search repositories, create issues, etc.
  PROMPT,
  mcp: [
    { name: "github", transport: { type: "stdio", command: "mcp-server-github" } }
  ]
)

# MCP tools are automatically available
result = robot.run("Find repositories about machine learning")
puts result.last_text_content

Filtering MCP Tools¶

Use the tools: parameter to restrict which tools (including MCP-discovered tools) are available to a robot:

robot = RobotLab.build(
  name: "reader",
  system_prompt: "You help read and search files.",
  mcp: [
    { name: "filesystem", transport: { type: "stdio", command: "mcp-server-fs" } }
  ],
  tools: %w[read_file search_files list_directory]  # Only allow specific tools
)

MCP in Networks¶

When running robots in a network, use per-task MCP configuration:

network = RobotLab.create_network(name: "dev_pipeline") do
  task :planner, planner_robot, depends_on: :none
  task :coder, coder_robot,
       mcp: [
         { name: "filesystem", transport: { type: "stdio", command: "mcp-server-fs" } }
       ],
       depends_on: [:planner]
  task :reviewer, reviewer_robot, depends_on: [:coder]
end

Common MCP Servers¶

Filesystem¶

{
  name: "filesystem",
  transport: {
    type: "stdio",
    command: "mcp-server-filesystem",
    args: ["--root", "/path/to/files"]
  }
}

Tools: read_file, write_file, list_directory, search_files

GitHub¶

{
  name: "github",
  transport: {
    type: "stdio",
    command: "mcp-server-github",
    env: { "GITHUB_TOKEN" => ENV["GITHUB_TOKEN"] }
  }
}

Tools: search_repositories, create_issue, get_file_contents, etc.

Database¶

{
  name: "postgres",
  transport: {
    type: "stdio",
    command: "mcp-server-postgres",
    env: { "DATABASE_URL" => ENV["DATABASE_URL"] }
  }
}

Tools: query, list_tables, describe_table

MCP Server and Client Objects¶

For programmatic access, you can work with MCP objects directly:

# Server configuration
server = RobotLab::MCP::Server.new(
  name: "my_server",
  transport: {
    type: "stdio",
    command: "my-mcp-server"
  }
)

# Client connection
client = RobotLab::MCP::Client.new(server)
client.connect

client.connected?           # => true
client.list_tools           # => Array of tool definitions
client.call_tool("search", { query: "ruby" })
client.list_resources       # => Array of resource definitions
client.disconnect

Error Handling¶

Connection Errors¶

begin
  result = robot.run("Search for repos")
rescue RobotLab::MCPError => e
  puts "MCP Error: #{e.message}"
end

Tip

MCP connection failures are logged as warnings but do not raise errors by default. The robot will continue without MCP tools if a server is unreachable.

Disconnecting¶

Robots can be manually disconnected from MCP servers:

robot.disconnect  # Disconnect all MCP clients

Patterns¶

Development vs Production¶

mcp_config = if Rails.env.development?
  [{ name: "local_fs", transport: { type: "stdio", command: "mcp-fs", args: ["--root", "."] } }]
else
  [{ name: "s3", transport: { type: "stdio", command: "mcp-s3" } }]
end

robot = RobotLab.build(
  name: "file_handler",
  system_prompt: "You manage files.",
  mcp: mcp_config
)

Dynamic Server Selection¶

def mcp_servers_for_user(user)
  servers = []
  servers << github_server if user.github_connected?
  servers << slack_server if user.slack_connected?
  servers
end

robot = RobotLab.build(
  name: "assistant",
  system_prompt: "You help the user with connected services.",
  mcp: mcp_servers_for_user(current_user)
)

Best Practices¶

1. Use Environment Variables for Credentials¶

{
  name: "github",
  transport: {
    type: "stdio",
    command: "mcp-server-github",
    env: {
      "GITHUB_TOKEN" => ENV["GITHUB_TOKEN"],
      "GITHUB_ORG" => ENV["GITHUB_ORG"]
    }
  }
}

2. Limit Tool Access¶

Restrict which MCP tools are available to a robot using the tools: parameter:

robot = RobotLab.build(
  name: "reader",
  system_prompt: "You read and search files.",
  mcp: [{ name: "fs", transport: { type: "stdio", command: "mcp-fs" } }],
  tools: %w[read_file search_files]  # No write access
)

3. Use Appropriate Transports¶

Transport	Best For
`stdio`	Local servers, CLI tools
`websocket`	Persistent connections, bidirectional
`sse`	Server push, event streams
`streamable_http`	Remote APIs, session-based

Next Steps¶

Using Tools - Local tool patterns
Creating Networks - Network configuration
API Reference: MCP - Complete MCP API