MCP Tools

What is MCP?

Model Context Protocol (MCP) is an open standard for connecting AI agents to external systems. Think of it as a universal adapter for your infrastructure.

MCP servers handle authentication and permissions. Agents never see your credentials directly.

Why MCP?

Approach	Security	Maintenance	Ecosystem
Direct API	Full access	Custom code	Limited
MCP Protocol	Fine-grained	Standard interface	100+ servers

Architecture

Agent → Station MCP Client → MCP Server → External Service
                ↓
        Validates permissions

Key Benefits:

Agents only see results, never credentials
Grant specific operations (read vs write)
Same servers work with Claude Desktop, Cursor, and Station

Configuring MCP Servers

Add servers to your environment’s template.json:

{
  "mcpServers": {
    "filesystem": {
      "command": "npx",
      "args": ["-y", "@modelcontextprotocol/server-filesystem@latest", "/workspace"]
    },
    "github": {
      "command": "npx",
      "args": ["-y", "@modelcontextprotocol/server-github"],
      "env": {
        "GITHUB_PERSONAL_ACCESS_TOKEN": "{{GITHUB_TOKEN}}"
      }
    }
  }
}

Popular MCP Servers

Filesystem

{
  "filesystem": {
    "command": "npx",
    "args": ["-y", "@modelcontextprotocol/server-filesystem@latest", "/path/to/allow"]
  }
}

GitHub

{
  "github": {
    "command": "npx",
    "args": ["-y", "@modelcontextprotocol/server-github"],
    "env": {
      "GITHUB_PERSONAL_ACCESS_TOKEN": "{{GITHUB_TOKEN}}"
    }
  }
}

PostgreSQL

{
  "postgres": {
    "command": "npx",
    "args": ["-y", "@modelcontextprotocol/server-postgres", "{{DATABASE_URL}}"]
  }
}

AWS

{
  "aws": {
    "command": "uvx",
    "args": ["mcp-server-aws"],
    "env": {
      "AWS_ACCESS_KEY_ID": "{{AWS_ACCESS_KEY_ID}}",
      "AWS_SECRET_ACCESS_KEY": "{{AWS_SECRET_ACCESS_KEY}}",
      "AWS_REGION": "us-east-1"
    }
  }
}

Using Template Variables

Store secrets in variables.yml:

GITHUB_TOKEN: ghp_xxxxxxxxxxxx
DATABASE_URL: postgresql://user:pass@localhost/db
AWS_ACCESS_KEY_ID: AKIA...
AWS_SECRET_ACCESS_KEY: secret...

Reference in template.json with {{VARIABLE_NAME}}:

{
  "env": {
    "GITHUB_PERSONAL_ACCESS_TOKEN": "{{GITHUB_TOKEN}}"
  }
}

Discovering Tools

After configuring MCP servers:

# List all available tools
stn mcp tools

# Sync tools (after config changes)
stn env sync

Using Tools in Agents

Reference tools by name in your agent’s tools array:

---
tools:
  - "__read_file"
  - "__write_file"
  - "__search_files"
  - "__github_create_issue"
---

Agents can only use tools explicitly listed in their tools array.

Station MCP Tools

When you connect Station as an MCP server to your AI assistant (Claude Desktop, Cursor, etc.), Station provides 41 built-in tools for managing agents:

Agent Management (11 tools)

Tool	Description
`create_agent`	Create new agents with prompts and tools
`update_agent`	Modify agent configuration
`update_agent_prompt`	Update agent system prompt
`delete_agent`	Remove an agent
`list_agents`	List all agents (with filters)
`get_agent_details`	Get full agent configuration
`get_agent_schema`	Get agent’s input schema
`add_tool`	Add MCP tool to agent
`remove_tool`	Remove tool from agent
`add_agent_as_tool`	Create multi-agent hierarchies
`remove_agent_as_tool`	Break agent hierarchy links

Agent Execution (4 tools)

Tool	Description
`call_agent`	Execute an agent with task
`list_runs`	List agent execution history
`inspect_run`	Get detailed run information
`list_runs_by_model`	Filter runs by AI model

Evaluation & Testing (7 tools)

Tool	Description
`generate_and_test_agent`	Generate test scenarios and run agent
`batch_execute_agents`	Run multiple agents in parallel
`evaluate_benchmark`	Run LLM-as-judge evaluation
`evaluate_dataset`	Evaluate entire dataset
`export_dataset`	Export runs for analysis
`list_benchmark_results`	List evaluation results
`get_benchmark_status`	Check evaluation status

Reports & Analytics (4 tools)

Tool	Description
`create_report`	Create team performance report
`generate_report`	Run benchmarks and generate report
`list_reports`	List all reports
`get_report`	Get report details

Environment Management (3 tools)

Tool	Description
`create_environment`	Create new environment
`delete_environment`	Delete environment
`list_environments`	List all environments

MCP Server Management (5 tools)

Tool	Description
`add_mcp_server_to_environment`	Add MCP server config
`update_mcp_server_in_environment`	Update MCP server
`delete_mcp_server_from_environment`	Remove MCP server
`list_mcp_servers_for_environment`	List configured servers
`list_mcp_configs`	List all MCP configurations

Tool Discovery (2 tools)

Tool	Description
`discover_tools`	Discover tools from MCP servers
`list_tools`	List available tools

Scheduling (3 tools)

Tool	Description
`set_schedule`	Schedule agent with cron expression
`remove_schedule`	Remove agent schedule
`get_schedule`	Get agent schedule details

Bundles (1 tool)

Tool	Description
`create_bundle_from_environment`	Package environment as bundle

Faker System (1 tool)

Tool	Description
`faker_create_standalone`	Create AI-powered mock data server

To see all available tools in your AI assistant, just ask: “Show me all Station MCP tools available”

Get Started

Station CLI

Building Agents

Station Lattice

Deployment

Advanced

What is MCP?

Why MCP?

Architecture

Configuring MCP Servers

Popular MCP Servers

Filesystem

GitHub

PostgreSQL

AWS

Using Template Variables

Discovering Tools

Using Tools in Agents

Station MCP Tools

Agent Management (11 tools)

Agent Execution (4 tools)

Evaluation & Testing (7 tools)

Reports & Analytics (4 tools)

Environment Management (3 tools)

MCP Server Management (5 tools)

Tool Discovery (2 tools)

Scheduling (3 tools)

Bundles (1 tool)

Faker System (1 tool)

Next Steps

Agent Development

Multi-Agent Teams

​What is MCP?

​Why MCP?

​Architecture

​Configuring MCP Servers

​Popular MCP Servers

​Filesystem

​GitHub

​PostgreSQL

​AWS

​Using Template Variables

​Discovering Tools

​Using Tools in Agents

​Station MCP Tools

​Agent Management (11 tools)

​Agent Execution (4 tools)

​Evaluation & Testing (7 tools)

​Reports & Analytics (4 tools)

​Environment Management (3 tools)

​MCP Server Management (5 tools)

​Tool Discovery (2 tools)

​Scheduling (3 tools)

​Bundles (1 tool)

​Faker System (1 tool)

​Next Steps

Agent Development

Multi-Agent Teams

What is MCP?

Why MCP?

Architecture

Configuring MCP Servers

Popular MCP Servers

Filesystem

GitHub

PostgreSQL

AWS

Using Template Variables

Discovering Tools

Using Tools in Agents

Station MCP Tools

Agent Management (11 tools)

Agent Execution (4 tools)

Evaluation & Testing (7 tools)

Reports & Analytics (4 tools)

Environment Management (3 tools)

MCP Server Management (5 tools)

Tool Discovery (2 tools)

Scheduling (3 tools)

Bundles (1 tool)

Faker System (1 tool)

Next Steps