MCP servers

# Add from registry
term-llm mcp add playwright              # search and install
term-llm mcp add @anthropic/mcp-server-fetch

# Add from URL (HTTP transport)
term-llm mcp add https://developers.openai.com/mcp

# Use with any command
term-llm exec --mcp playwright "take a screenshot of google.com"
term-llm ask --mcp github "list my open PRs"
term-llm chat --mcp playwright,filesystem

term-llm mcp add playwright           # search by name
term-llm mcp add @playwright/mcp      # exact package
term-llm mcp browse                   # interactive browser

term-llm mcp add https://developers.openai.com/mcp
term-llm mcp add https://mcp.example.com/api

# Single server
term-llm ask --mcp fetch "summarize https://example.com"
term-llm exec --mcp playwright "take a screenshot of google.com"
term-llm edit --mcp github -f main.go "update based on latest API"

# Multiple servers (comma-separated)
term-llm chat --mcp playwright,filesystem,github

# In chat, toggle servers with Ctrl+M

# Simple key=value arguments
term-llm mcp run filesystem read_file path=/tmp/test.txt

# JSON arguments for complex values
term-llm mcp run server tool '{"nested":{"deep":"value"}}'

# Multiple tools in one invocation
term-llm mcp run server tool1 key=val tool2 key=val

# Read file contents into a parameter with @path
term-llm mcp run server tool content=@/tmp/big-file.txt

# Read from stdin with @-
cat data.json | term-llm mcp run server tool input=@-

{
  "servers": {
    "playwright": {
      "command": "npx",
      "args": ["-y", "@playwright/mcp"]
    },
    "openai-docs": {
      "type": "http",
      "url": "https://developers.openai.com/mcp"
    },
    "github": {
      "command": "npx",
      "args": ["-y", "@modelcontextprotocol/server-github"],
      "env": {
        "GITHUB_PERSONAL_ACCESS_TOKEN": "ghp_xxx"
      }
    },
    "authenticated-api": {
      "type": "http",
      "url": "https://api.example.com/mcp",
      "headers": {
        "Authorization": "Bearer your-token"
      }
    }
  }
}