mcp-server-bash-sdk

v2026.09.25
reason-machines/mcp-skills00

Build lightweight MCP servers in pure Bash with zero runtime overhead for AI tool integration

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npx skhub add reason-machines/mcp-server-bash-sdk
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SKILL.md

MCP Server Bash SDK

Skill by ara.so — MCP Skills collection.

Overview

The MCP Server Bash SDK is a lightweight, zero-overhead implementation of the Model Context Protocol (MCP) server in pure Bash. It allows you to create MCP servers without Node.js, Python, or other heavy runtimes—just Bash and jq for JSON processing. The SDK handles JSON-RPC 2.0 protocol communication over stdio while you focus on implementing tool functions.

Key Benefits:

  • Zero runtime overhead compared to Node.js/Python
  • Simple function-based tool definition
  • Automatic tool discovery via naming convention
  • External JSON configuration for tools and server metadata
  • Perfect for API wrappers and system utilities

Installation

Requirements

  • Bash shell (4.0+)
  • jq for JSON processing

Install jq:

# macOS
brew install jq

# Ubuntu/Debian
sudo apt-get install jq

# RHEL/CentOS
sudo yum install jq

Clone and Setup

git clone https://github.com/muthuishere/mcp-server-bash-sdk
cd mcp-server-bash-sdk
chmod +x mcpserver_core.sh moviemcpserver.sh

Test Installation

echo '{"jsonrpc": "2.0", "method": "tools/call", "params": {"name": "get_movies"}, "id": 1}' | ./moviemcpserver.sh

Core Concepts

Architecture

  • mcpserver_core.sh: Protocol layer handling JSON-RPC and MCP communication
  • Your server script: Business logic with tool_* functions
  • assets/: JSON configuration files for tools and server metadata
  • Communication: JSON-RPC 2.0 over stdio

Tool Function Contract

All tool functions must follow these rules:

  1. Naming: Prefix with tool_ + exact name from tools_list.json
  2. Parameters: Accept single parameter $1 containing JSON arguments
  3. Success: Echo result and return 0
  4. Failure: Echo error message and return 1
  5. Discovery: Automatically exposed based on tools_list.json

Creating Your First MCP Server

Step 1: Create Server Script

Create weatherserver.sh:

#!/bin/bash

# Override configuration paths BEFORE sourcing core
MCP_CONFIG_FILE="$(dirname "${BASH_SOURCE[0]}")/assets/weatherserver_config.json"
MCP_TOOLS_LIST_FILE="$(dirname "${BASH_SOURCE[0]}")/assets/weatherserver_tools.json"
MCP_LOG_FILE="$(dirname "${BASH_SOURCE[0]}")/logs/weatherserver.log"

# Source the MCP server core
source "$(dirname "${BASH_SOURCE[0]}")/mcpserver_core.sh"

# Access environment variables
API_KEY="${WEATHER_API_KEY:-}"
BASE_URL="${WEATHER_API_URL:-https://api.openweathermap.org/data/2.5}"

# Tool: Get current weather
tool_get_weather() {
  local args="$1"
  local location=$(echo "$args" | jq -r '.location')
  
  # Validate required parameters
  if [[ -z "$location" ]]; then
    echo "Missing required parameter: location"
    return 1
  fi
  
  if [[ -z "$API_KEY" ]]; then
    echo "WEATHER_API_KEY environment variable not set"
    return 1
  fi
  
  # Call external API
  local response=$(curl -s "${BASE_URL}/weather?q=${location}&appid=${API_KEY}&units=metric")
  
  # Check for API errors
  local cod=$(echo "$response" | jq -r '.cod')
  if [[ "$cod" != "200" ]]; then
    local message=$(echo "$response" | jq -r '.message // "API request failed"')
    echo "Weather API error: $message"
    return 1
  fi
  
  # Return formatted result
  echo "$response" | jq '{
    location: .name,
    temperature: .main.temp,
    description: .weather[0].description,
    humidity: .main.humidity
  }'
  return 0
}

# Tool: Get weather forecast
tool_get_forecast() {
  local args="$1"
  local location=$(echo "$args" | jq -r '.location')
  local days=$(echo "$args" | jq -r '.days // 3')
  
  if [[ -z "$location" ]]; then
    echo "Missing required parameter: location"
    return 1
  fi
  
  # Call forecast API
  local response=$(curl -s "${BASE_URL}/forecast?q=${location}&appid=${API_KEY}&units=metric&cnt=$((days * 8))")
  
  echo "$response" | jq '{
    location: .city.name,
    forecast: [.list[] | {
      date: .dt_txt,
      temp: .main.temp,
      description: .weather[0].description
    }]
  }'
  return 0
}

# Start the MCP server
run_mcp_server "$@"

Step 2: Create Tools Definition

Create assets/weatherserver_tools.json:

{
  "tools": [
    {
      "name": "get_weather",
      "description": "Get current weather conditions for a specified location",
      "inputSchema": {
        "type": "object",
        "properties": {
          "location": {
            "type": "string",
            "description": "City name (e.g., 'London', 'New York') or coordinates"
          }
        },
        "required": ["location"]
      }
    },
    {
      "name": "get_forecast",
      "description": "Get weather forecast for the next few days",
      "inputSchema": {
        "type": "object",
        "properties": {
          "location": {
            "type": "string",
            "description": "City name or coordinates"
          },
          "days": {
            "type": "integer",
            "description": "Number of days to forecast (1-5)",
            "default": 3
          }
        },
        "required": ["location"]
      }
    }
  ]
}

Step 3: Create Server Configuration

Create assets/weatherserver_config.json:

{
  "protocolVersion": "2025-03-26",
  "serverInfo": {
    "name": "WeatherServer",
    "version": "1.0.0"
  },
  "capabilities": {
    "tools": {
      "listChanged": true
    }
  },
  "instructions": "Provides weather information and forecasts using OpenWeatherMap API. Requires WEATHER_API_KEY environment variable."
}

Step 4: Make Executable and Test

chmod +x weatherserver.sh

# Test tool call
echo '{"jsonrpc": "2.0", "method": "tools/call", "params": {"name": "get_weather", "arguments": {"location": "London"}}, "id": 1}' | WEATHER_API_KEY=your_key ./weatherserver.sh

# Test tools list
echo '{"jsonrpc": "2.0", "method": "tools/list", "id": 1}' | ./weatherserver.sh

MCP Protocol Methods

Initialize

echo '{"jsonrpc": "2.0", "method": "initialize", "params": {"protocolVersion": "2025-03-26", "capabilities": {}}, "id": 1}' | ./weatherserver.sh

List Tools

echo '{"jsonrpc": "2.0", "method": "tools/list", "id": 1}' | ./weatherserver.sh

Call Tool

echo '{"jsonrpc": "2.0", "method": "tools/call", "params": {"name": "get_weather", "arguments": {"location": "Paris"}}, "id": 1}' | ./weatherserver.sh

List Prompts (if configured)

echo '{"jsonrpc": "2.0", "method": "prompts/list", "id": 1}' | ./weatherserver.sh

Configuration

Environment Variables

Access environment variables in your tool functions:

# In your server script
API_KEY="${MY_API_KEY:-default_value}"
BASE_URL="${MY_BASE_URL:-https://api.example.com}"
DEBUG="${MCP_DEBUG:-false}"

tool_example() {
  local args="$1"
  
  if [[ "$DEBUG" == "true" ]]; then
    echo "Debug: Processing with API key: ${API_KEY:0:5}..." >&2
  fi
  
  # Use environment variables in API calls
  curl -H "Authorization: Bearer $API_KEY" "$BASE_URL/endpoint"
}

Custom Configuration Paths

Override default paths before sourcing core:

#!/bin/bash

# Custom paths
MCP_CONFIG_FILE="/custom/path/config.json"
MCP_TOOLS_LIST_FILE="/custom/path/tools.json"
MCP_LOG_FILE="/var/log/myserver.log"

source "$(dirname "${BASH_SOURCE[0]}")/mcpserver_core.sh"

Logging

Enable debug logging:

# Set log file path
MCP_LOG_FILE="./logs/debug.log"

# Logs are written to stderr and optionally to file
# Check logs while running
tail -f ./logs/debug.log

Integration with AI Assistants

VS Code with GitHub Copilot

Add to .vscode/settings.json:

{
  "mcp": {
    "servers": {
      "weather-server": {
        "type": "stdio",
        "command": "/absolute/path/to/weatherserver.sh",
        "args": [],
        "env": {
          "WEATHER_API_KEY": "your-api-key",
          "MCP_DEBUG": "false"
        }
      }
    }
  }
}

Claude Desktop

Add to Claude config (~/Library/Application Support/Claude/claude_desktop_config.json on macOS):

{
  "mcpServers": {
    "weather-server": {
      "command": "/absolute/path/to/weatherserver.sh",
      "args": [],
      "env": {
        "WEATHER_API_KEY": "your-api-key"
      }
    }
  }
}

Testing with Copilot Chat

@workspace /mcp weather-server get weather for Tokyo

Common Patterns

Pattern: External API Wrapper

#!/bin/bash

source "$(dirname "${BASH_SOURCE[0]}")/mcpserver_core.sh"

API_TOKEN="${GITHUB_TOKEN:-}"
API_BASE="https://api.github.com"

tool_get_repo_info() {
  local args="$1"
  local owner=$(echo "$args" | jq -r '.owner')
  local repo=$(echo "$args" | jq -r '.repo')
  
  if [[ -z "$owner" ]] || [[ -z "$repo" ]]; then
    echo "Missing required parameters: owner and repo"
    return 1
  fi
  
  local response=$(curl -s -H "Authorization: token $API_TOKEN" \
    "${API_BASE}/repos/${owner}/${repo}")
  
  echo "$response" | jq '{
    name: .name,
    stars: .stargazers_count,
    forks: .forks_count,
    description: .description
  }'
  return 0
}

run_mcp_server "$@"

Pattern: System Command Wrapper

#!/bin/bash

source "$(dirname "${BASH_SOURCE[0]}")/mcpserver_core.sh"

tool_disk_usage() {
  local args="$1"
  local path=$(echo "$args" | jq -r '.path // "/"')
  
  if [[ ! -d "$path" ]]; then
    echo "Path does not exist: $path"
    return 1
  fi
  
  df -h "$path" | awk 'NR==2 {
    print "{\"path\":\"'$path'\",\"size\":\""$2"\",\"used\":\""$3"\",\"available\":\""$4"\",\"use_percent\":\""$5"\"}"
  }'
  return 0
}

tool_process_list() {
  local args="$1"
  local filter=$(echo "$args" | jq -r '.filter // ""')
  
  ps aux | grep -i "$filter" | head -20 | jq -R -s -c 'split("\n") | map(select(length > 0))'
  return 0
}

run_mcp_server "$@"

Pattern: Data Transformation

#!/bin/bash

source "$(dirname "${BASH_SOURCE[0]}")/mcpserver_core.sh"

tool_json_to_csv() {
  local args="$1"
  local json_data=$(echo "$args" | jq -r '.data')
  
  if [[ -z "$json_data" ]]; then
    echo "Missing required parameter: data"
    return 1
  fi
  
  echo "$json_data" | jq -r '
    (.[0] | keys_unsorted) as $keys |
    $keys, 
    (.[] | [.[$keys[]]] | @csv)
  ' | paste -sd ',' -
  return 0
}

run_mcp_server "$@"

Pattern: File Operations

#!/bin/bash

source "$(dirname "${BASH_SOURCE[0]}")/mcpserver_core.sh"

WORKSPACE_DIR="${WORKSPACE_DIR:-./workspace}"

tool_read_file() {
  local args="$1"
  local filepath=$(echo "$args" | jq -r '.path')
  
  local fullpath="${WORKSPACE_DIR}/${filepath}"
  
  if [[ ! -f "$fullpath" ]]; then
    echo "File not found: $filepath"
    return 1
  fi
  
  jq -n --arg content "$(cat "$fullpath")" '{content: $content}'
  return 0
}

tool_write_file() {
  local args="$1"
  local filepath=$(echo "$args" | jq -r '.path')
  local content=$(echo "$args" | jq -r '.content')
  
  local fullpath="${WORKSPACE_DIR}/${filepath}"
  local dir=$(dirname "$fullpath")
  
  mkdir -p "$dir"
  echo "$content" > "$fullpath"
  
  echo "{\"success\": true, \"path\": \"$filepath\"}"
  return 0
}

run_mcp_server "$@"

Troubleshooting

Server Not Responding

Symptom: No output when sending JSON-RPC requests

Solutions:

# 1. Check if script is executable
chmod +x yourserver.sh

# 2. Verify shebang line
head -1 yourserver.sh  # Should show #!/bin/bash

# 3. Test jq installation
which jq
echo '{"test": "value"}' | jq .

# 4. Enable debug logging
MCP_LOG_FILE="./debug.log" ./yourserver.sh

Tool Function Not Found

Symptom: Error "Tool not found" when calling a tool

Solutions:

# 1. Verify function name matches tools_list.json
# Function: tool_get_weather
# JSON: "name": "get_weather"

# 2. Check tools_list.json is valid
jq . assets/yourserver_tools.json

# 3. Verify function is defined before run_mcp_server
grep "tool_get_weather" yourserver.sh

# 4. Test tool listing
echo '{"jsonrpc": "2.0", "method": "tools/list", "id": 1}' | ./yourserver.sh

JSON Parsing Errors

Symptom: jq errors or malformed JSON responses

Solutions:

# 1. Validate input JSON
echo "$args" | jq . 2>&1

# 2. Check for shell expansion in strings
# BAD: echo "{"key": "$value"}"
# GOOD: jq -n --arg val "$value" '{key: $val}'

# 3. Escape special characters properly
local result=$(curl ... | jq -R -s .)

# 4. Debug jq pipeline
echo "$data" | jq . | jq '.field' | jq -c .

Environment Variables Not Set

Symptom: Tool fails due to missing API keys

Solutions:

# 1. Check environment in VS Code settings
# Verify "env" object in mcp server config

# 2. Use defaults for optional vars
API_KEY="${MY_API_KEY:-default_key}"

# 3. Validate required vars in tool function
if [[ -z "$API_KEY" ]]; then
  echo "MY_API_KEY environment variable required"
  return 1
fi

# 4. Test with explicit environment
MY_API_KEY=test ./yourserver.sh

cURL or External Command Failures

Symptom: Tool returns errors from external commands

Solutions:

# 1. Check command exit status
local response=$(curl -s "https://api.example.com/endpoint")
if [[ $? -ne 0 ]]; then
  echo "API request failed"
  return 1
fi

# 2. Add timeout to curl
curl -s --max-time 30 "https://api.example.com"

# 3. Handle HTTP errors
local http_code=$(curl -s -w "%{http_code}" -o /tmp/response.json "url")
if [[ "$http_code" -ge 400 ]]; then
  echo "HTTP error: $http_code"
  return 1
fi

# 4. Validate response format
if ! echo "$response" | jq -e . >/dev/null 2>&1; then
  echo "Invalid JSON response"
  return 1
fi

Configuration File Not Found

Symptom: Server fails to start or reads wrong config

Solutions:

# 1. Use absolute paths
MCP_CONFIG_FILE="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)/assets/config.json"

# 2. Verify paths before sourcing
ls -la "$MCP_CONFIG_FILE" "$MCP_TOOLS_LIST_FILE"

# 3. Check file permissions
chmod 644 assets/*.json

# 4. Create missing directories
mkdir -p assets logs

Debugging Tips

# Enable verbose output
set -x  # Add at top of script for trace

# Log to stderr (visible in AI assistant logs)
echo "Debug: tool called with: $args" >&2

# Validate JSON at each step
validate_json() {
  if ! echo "$1" | jq . >/dev/null 2>&1; then
    echo "Invalid JSON: $1" >&2
    return 1
  fi
}

# Test individual tool functions
tool_get_weather '{"location":"London"}'
echo "Exit code: $?"

Advanced Examples

Multi-Step Tool with Error Handling

tool_github_pr_summary() {
  local args="$1"
  local owner=$(echo "$args" | jq -r '.owner')
  local repo=$(echo "$args" | jq -r '.repo')
  local pr_number=$(echo "$args" | jq -r '.pr_number')
  
  # Validate inputs
  if [[ -z "$owner" ]] || [[ -z "$repo" ]] || [[ -z "$pr_number" ]]; then
    echo "Missing required parameters"
    return 1
  fi
  
  # Step 1: Get PR details
  local pr_data=$(curl -s -H "Authorization: token ${GITHUB_TOKEN}" \
    "https://api.github.com/repos/${owner}/${repo}/pulls/${pr_number}")
  
  if [[ $(echo "$pr_data" | jq -r '.message // empty') == "Not Found" ]]; then
    echo "Pull request not found"
    return 1
  fi
  
  # Step 2: Get PR commits
  local commits=$(curl -s -H "Authorization: token ${GITHUB_TOKEN}" \
    "https://api.github.com/repos/${owner}/${repo}/pulls/${pr_number}/commits")
  
  # Step 3: Aggregate data
  jq -n \
    --argjson pr "$pr_data" \
    --argjson commits "$commits" \
    '{
      title: $pr.title,
      state: $pr.state,
      author: $pr.user.login,
      commits: ($commits | length),
      additions: $pr.additions,
      deletions: $pr.deletions,
      files_changed: $pr.changed_files
    }'
  
  return 0
}

This skill provides comprehensive guidance for building, configuring, and troubleshooting MCP servers using the Bash SDK.

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版本

v2026.09.25

发布时间

Sep 25, 2026

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源路径

skills/mcp-server-bash-sdk

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main

最新提交

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Tree SHA

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