Indiamart Mcp Server

io.github.Techmatic-sysPublished by GitHub account Techmatic-sysv1.1.0Updated Oct 24, 2026

Claude AI for IndiaMART leads - fetch, search, sync and track pipeline.

VerifiedSTDIODesktop onlyData & AnalyticsBusiness & Commerce

Overview

AI-generated overview

A local MCP server that connects Claude to IndiaMART's Lead Management API so an assistant can fetch, search, analyze and update buyer leads.

What you can do
Fetch and sync leads from IndiaMART for a date range or recent hours, and look up a single lead by ID, storing them in a local SQLite database for offline access and keyword search across product or message text. Show lead analytics such as totals and breakdowns by city, product and date, and export leads as CSV. Draft professional replies to buyers. Update pipeline stages (new, contacted, qualified, won or lost) and attach private notes to leads for follow-up.
When to use it
Useful for IndiaMART sellers who manage buyer leads and want to query, summarize and update their sales pipeline in natural language from Claude Desktop, Claude Code or a compatible agent platform instead of the seller dashboard.
Requirements
Runs locally as a Python process (Python 3.10+ with the project's requirements installed). Needs an IndiaMART Seller account with Lead Manager access, plus a CRM API key and GLID supplied through the INDIAMART_API_KEY and INDIAMART_GLID environment variables. Network access to IndiaMART's API is required.
Before you install
The CRM API key grants access to your leads and must be kept secret; it is passed in plain text through environment variables in client config files. Two tools write data: they change lead pipeline stages and add notes, so changes affect your real IndiaMART lead records. Lead data is stored in a local SQLite database, and an optional SSE mode can expose the server on a network host.

Installation

In SourceWeft

  1. Open Indiamart Mcp Server in the dashboard and add it to a workspace.
  2. Enable the server for the chats that should use its tools.

Desktop only via STDIO. STDIO servers start a local process, so they need the SourceWeft desktop host.

Other MCP clients

Follow the launch instructions in the repository.

README

🇮🇳 IndiaMART MCP Server

[Python 3.10+] [License MIT] [MCP Compatible] [CI] [Coverage]

A fully functional Model Context Protocol (MCP) server that connects Claude AI to IndiaMART's Lead Management API. Fetch, search, analyze, and manage your IndiaMART buyer leads using natural language.

⚡ Quick Install (60 seconds)

bash
git clone https://github.com/Techmatic-sys/indiamart-mcp-server.gitcd indiamart-mcp-serverpip install -r requirements.txt

Then add to your Claude Desktop config and you're done. Full setup below.


✨ Features

  • 10 MCP Tools — 8 read tools + 2 write tools for complete CRM
  • Pull Leads — Fetch leads from IndiaMART for any date range
  • Pipeline Management — Track leads through sales stages (new → won)
  • Notes — Attach private notes to leads for context
  • Real-time Webhook — Receive leads instantly via IndiaMART's Push API
  • Local Database — All leads stored in SQLite for fast offline access
  • Analytics — Get stats by city, product, and date
  • Search — Find leads by keyword in product or message
  • Export CSV — Export leads for spreadsheets and reporting
  • Draft Replies — Generate professional buyer replies instantly
  • Input Validation — Pydantic schemas prevent malformed queries
  • Retry Logic — Exponential backoff on API failures
  • Claude Desktop Ready — Plug-and-play config included

📋 Prerequisites

  • Python 3.10+ (Download)
  • IndiaMART Seller Account with Lead Manager access
  • IndiaMART CRM API Key (see below)
  • Claude Desktop (optional, for AI-powered lead management)

🚀 Installation

1. Clone or Download

bash
git clone https://github.com/Techmatic-sys/indiamart-mcp-server.gitcd indiamart-mcp-server

2. Create Virtual Environment (recommended)

bash
python -m venv venv
# Windowsvenv\Scripts\activate
# macOS/Linuxsource venv/bin/activate

3. Install Dependencies

bash
# MCP server only (lightweight, 4 packages)pip install -r requirements.txt
# Full SaaS web app (includes FastAPI, uvicorn, etc.)pip install -r requirements-saas.txt

4. Configure Environment

bash
# Copy the example env filecp .env.example .env    # Linux/macOScopy .env.example .env  # Windows
# Edit .env with your credentials

🔑 How to Get Your IndiaMART API Key

  1. Log in to IndiaMART Seller Dashboard
  2. Go to Lead Manager → Settings (⚙️ icon)
  3. Navigate to CRM Integration or API Settings
  4. Generate or copy your CRM API Key (glusr_crm_key)
  5. Note your GLID (Global Login ID) from your account profile
  6. Paste both values into your .env file

Note: The API key gives access to your leads. Keep it secret!


▶️ Running the MCP Server

bash
# Standard run (Claude Desktop starts this automatically)python mcp_server.py
# Check versionpython mcp_server.py --version
# Health check (verify DB connectivity)python mcp_server.py --health

🖥️ Connecting to Claude Desktop

1. Locate Claude Desktop Config

OSPath
Windows%APPDATA%\Claude\claude_desktop_config.json
macOS~/Library/Application Support/Claude/claude_desktop_config.json
Linux~/.config/Claude/claude_desktop_config.json

2. Add the MCP Server

json
{  "mcpServers": {    "indiamart": {      "command": "python",      "args": ["mcp_server.py"],      "cwd": "/ABSOLUTE/PATH/TO/indiamart-mcp-server",      "env": {        "INDIAMART_API_KEY": "your_crm_api_key_here",        "INDIAMART_GLID": "your_glid_here"      }    }  }}

Replace cwd with your actual path:

  • Windows: "C:\\Users\\YourName\\indiamart-mcp-server"
  • macOS: "/Users/yourname/indiamart-mcp-server"
  • Linux: "/home/yourname/indiamart-mcp-server"

3. Restart Claude Desktop

Close and reopen Claude Desktop. You should see the IndiaMART tools available in the tools menu.


🤖 Connecting to Claude Code

Option 1: CLI (Recommended)

bash
claude mcp add indiamart -- python /ABSOLUTE/PATH/TO/indiamart-mcp-server/mcp_server.py

Then set your environment variables:

bash
# In your shell profile or before launching Claude Codeexport INDIAMART_API_KEY="your_crm_api_key_here"export INDIAMART_GLID="your_glid_here"

Option 2: Manual Config

Add to your .claude/settings.json (project-level) or ~/.claude/settings.json (global):

json
{  "mcpServers": {    "indiamart": {      "command": "python",      "args": ["/ABSOLUTE/PATH/TO/indiamart-mcp-server/mcp_server.py"],      "env": {        "INDIAMART_API_KEY": "your_crm_api_key_here",        "INDIAMART_GLID": "your_glid_here"      }    }  }}

Replace the path with your actual absolute path to mcp_server.py.

Verify Connection

Once connected, ask Claude Code:

  • "Sync my latest IndiaMART leads"
  • "Show me leads from the last 24 hours"
  • "What are my lead statistics?"

🦞 Connecting to OpenClaw

OpenClaw is a self-hosted AI agent platform. Your IndiaMART leads become a native skill in OpenClaw, accessible from any interface OpenClaw supports.

1. Find your OpenClaw config file

OSPath
Linux/macOS~/.openclaw/openclaw.json
WindowsC:\Users\YourName\.openclaw\openclaw.json

2. Add the IndiaMART skill

Open the config and add under skills.mcpServers:

json5
{  skills: {    mcpServers: {      indiamart: {        command: "python",        args: ["mcp_server.py"],        cwd: "/absolute/path/to/indiamart-mcp-server",        env: {          INDIAMART_API_KEY: "your_crm_api_key_here",          INDIAMART_GLID: "your_glid_here"        }      }    }  }}

See openclaw-config-example.json5 at the repo root for a ready-to-copy template.

3. Restart the OpenClaw gateway

bash
openclaw gateway restart

4. Verify it loaded

bash
openclaw status --all# You should see "indiamart" listed with 10 tools

Remote OpenClaw (VPS / EC2)

Run the MCP server in SSE mode on your server:

bash
python mcp_server.py --transport sse --host 0.0.0.0 --port 8000

Then point your OpenClaw config to http://your-server-ip:8000.


💬 Example Prompts

PromptWhat It Does
"Show me all leads from the last 24 hours"Syncs and displays recent leads
"How many leads did I get this week and from which cities?"Shows lead statistics
"Search for leads asking about steel pipes"Keyword search in product/message
"Draft a reply for lead ID IML123456789"Generates professional buyer reply
"Move lead IML123 to qualified stage"Updates pipeline stage
"Add a note to lead IML123: Very interested in bulk order"Attaches a note
"Export all leads from January 2026 as CSV"Exports leads in CSV format
"Sync my latest IndiaMART leads"Pulls latest leads into local DB

🛠️ Available MCP Tools (10 Total)

Read Tools (8)

ToolDescription
tool_get_leads_by_dateFetch leads from IndiaMART for a date range
tool_get_recent_leadsGet leads from the last N hours
tool_get_lead_statsAnalytics: totals, by city, product, and date
tool_search_leadsSearch leads by keyword
tool_get_lead_by_idFull details of a specific lead
tool_draft_replyDraft a professional reply for a buyer
tool_export_leads_csvExport leads as CSV
tool_sync_latest_leadsSync latest from IndiaMART to local DB

Write Tools (2 — NEW)

ToolDescription
tool_update_lead_stageMove leads through pipeline (new → contacted → qualified → won/lost)
tool_add_noteAttach private notes to leads for follow-up tracking

📁 Project Structure

indiamart-mcp-server/├── 📄 mcp_server.py           ← SINGLE entry point├── 📄 smithery.yaml            ← Smithery.ai marketplace manifest├── 📄 pyproject.toml           ← Python package config├── 📄 requirements.txt         ← MCP only (5 packages)├── 📄 requirements-saas.txt    ← Web app deps├── 📄 README.md                ← This file├── 📄 CHANGELOG.md             ← Version history├── 📄 LICENSE                  ← MIT License├── 📄 .env.example             ← Annotated credential guide├── 📄 .gitignore               ← Git ignore rules├── 📄 docker-compose.yml       ← Full stack Docker setup│├── 📁 mcp_tools/               ← Core MCP Package│   ├── __init__.py│   ├── 🔧 tools.py            ← 10 MCP tools with rich docstrings│   ├── 📋 schemas.py          ← Pydantic validation + response types│   ├── 🌐 http_client.py      ← Resilient API client with retry│   ├── 💾 database.py         ← SQLite operations│   ├── 🔑 auth.py             ← API key helpers│   └── 🐳 Dockerfile          ← MCP server Docker image│├── 📁 saas/                    ← SaaS Web App (FastAPI)│   └── ...│├── 📁 tests/                   ← Test suite│   ├── conftest.py             ← pytest fixtures│   └── test_tools.py           ← Validation + integration tests│├── 📁 .github/                 ← CI/CD│   └── workflows/ci.yml│└── 📁 docs/                    ← Documentation    ├── tools.md    └── examples.md

🔧 Troubleshooting

"INDIAMART_API_KEY is not set"

  • Make sure you've created a .env file (not just .env.example)
  • Check that the key is correct and not expired
  • Verify the .env file is in the project root directory

Claude Desktop doesn't show IndiaMART tools

  • Restart Claude Desktop completely (quit + reopen)
  • Check claude_desktop_config.json for syntax errors (valid JSON?)
  • Verify the cwd path is correct and mcp_server.py exists there
  • Check Claude Desktop logs for MCP connection errors

Date format errors

  • Supported formats: YYYY-MM-DD, DD-MM-YYYY, DD/MM/YYYY, DD-Mon-YYYY
  • Example: 2026-01-15, 15-01-2026, 15-Jan-2026

📄 License

MIT License. Use freely for your business.


🤝 Contributing

  1. Fork the repository
  2. Create a feature branch: git checkout -b feature/my-feature
  3. Commit changes: git commit -m "Add my feature"
  4. Push: git push origin feature/my-feature
  5. Open a Pull Request

Built with ❤️ for Indian sellers on IndiaMART

Source: README.md at commit d124c39

Tools

0
SourceWeft has not started this package in its sandbox yet, so its tools are not known.

Version history

1
  1. v1.1.0LatestSep 16, 2026

Score

50% of the applicable checks met

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  • Reached in the last 30 days25 pts

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  • Auth declared10 pts

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  • Tools listed15 pts

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  • DescriptionRequired15 pts
  • Logo10 pts
  • Documentation15 pts
  • License10 pts