About docbot-mcp
docbot-mcp is an MCP server that converts data between CSV, JSON, and Markdown tables. It offers HTTP transport for integrations and deployment in containerized environments.
Key features
- 01CSV to JSON conversion
- 02JSON to CSV conversion
- 03CSV to Markdown tables
- 04JSON to Markdown tables
- 05HTTP and stdio transports
Use cases
- 01Converting CSV data for JSON workflows
- 02Rendering tabular data as Markdown
- 03Deploying conversion tools in containers
MCP support
Exposes four conversion tools to MCP clients: CSV and JSON conversion in both directions, and conversion of each format to Markdown tables. The default server uses HTTP transport.
Configuration
Local server config is the same for every client. Copy it into your client’s MCP config file.
Tools
Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.
Details
From the project READMEdocbot-mcp
Bidirectional CSV ↔️ JSON ↔️ Markdown transformer exposed as an MCP (Model Context Protocol) server with HTTP transport.
Overview
docbot-mcp is a Model Context Protocol server that provides tools for converting between CSV, JSON, and Markdown formats. It's built on the Model Context Protocol and designed for deployment on serverless platforms like AWS App Runner.
Features
- ✅ CSV to JSON — Parse CSV strings into JSON arrays
- ✅ JSON to CSV — Serialize JSON arrays to CSV format
- ✅ CSV to Markdown — Convert CSV to formatted Markdown tables
- ✅ JSON to Markdown — Convert JSON arrays to Markdown tables
- ✅ HTTP-based — REST API endpoint for easy integration
- ✅ Containerized — Ready for deployment on AWS App Runner, Docker, etc.
Installation
npm install
Requirements
- Node.js 16+ (ES modules support)
- Dependencies:
@modelcontextprotocol/sdk— MCP protocol implementation@rflukerii/docbot— Document conversion utilitiesexpress— HTTP server frameworkzod— Input validation
Usage
Starting the Server
npm start
The server starts on http://localhost:3000 with the MCP endpoint at /docbot-mcp.
Available Tools
All tools accept input as text parameters and return formatted text responses.
csvToJson
Converts a CSV string to JSON format.
Input: csv (string)
Output: JSON array as string
curl -X POST http://localhost:3000/docbot-mcp \
-H "Content-Type: application/json" \
-d '{"tool": "csvToJson", "input": {"csv": "name,age\nAlice,30"}}'
jsonToCsv
Converts a JSON array to CSV format.
Input: json (string)
Output: CSV string
curl -X POST http://localhost:3000/docbot-mcp \
-H "Content-Type: application/json" \
-d '{"tool": "jsonToCsv", "input": {"json": "[{\"name\":\"Alice\",\"age\":30}]"}}'
csvToMarkdown
Converts a CSV string to a Markdown table.
Input: csv (string)
Output: Markdown table string
jsonToMarkdown
Converts a JSON array to a Markdown table.
Input: json (string)
Output: Markdown table string
Architecture
HTTP Transport
The server uses StreamableHTTPServerTransport instead of stdio for better compatibility with containerized environments. Each request to /docbot-mcp creates a new server instance, processes the MCP request, and returns the result.
Express Server (port 3000)
↓
POST /docbot-mcp endpoint
↓
MCP Server instance (createServer)
↓
StreamableHTTPServerTransport
↓
Tool execution (csvToJson, jsonToCsv, etc.)
↓
Response back to client
File Structure
index.js— Main HTTP server entry point (AWS App Runner compatible)index-stdio.js— Stdio transport version (for local/stdio-based clients)package.json— Dependencies and scripts
Deployment
AWS App Runner
The server includes a start script configured for AWS App Runner:
{
"scripts": {
"start": "node index.js"
}
}
Steps to deploy:
- Push code to AWS CodeCommit, GitHub, or BitBucket
- Create AWS App Runner service
- Configure source as your repository
- Set build command:
npm install - Set start command:
npm start - App Runner will automatically run the server on port 3000
Docker
Example Dockerfile:
FROM node:18-alpine
WORKDIR /app
COPY package*.json ./
RUN npm install --production
COPY . .
EXPOSE 3000
CMD ["npm", "start"]
Development
Switching Between Transports
- HTTP (default):
node index.js— For containerized environments - Stdio:
node index-stdio.js— For direct CLI/stdio clients
Adding New Tools
Edit index.js and use the server.registerTool() pattern:
server.registerTool(
'toolName',
{
title: 'Display Title',
description: 'What it does',
inputSchema: { paramName: z.type() }
},
async ({ paramName }) => ({
content: [{ type: 'text', text: 'result' }]
})
);
License
MIT
Changelog
See CHANGELOG.md for version history and updates.
Comments
New to MCP?
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