Context7
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作者提供的说明(英文原文)
Claude AI for IndiaMART leads - fetch, search, sync and track pipeline.
这三项永远不会合并成一个分数:意见、测量和人气是不同的东西。
我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。
选择你使用的 AI 应用,然后复制设置。
作者没有在注册中心列出安装信息。请查看下方作者的 README。
它在你的电脑上运行;安装后,工具列表会显示在你的 AI 应用中。
我们检查的是任何人都能看到的信息;我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月7日
注册名称已通过 GitHub 账户 Techmatic-sys 验证,该账户拥有此仓库
我们还没有从 GitHub 读取这个仓库
我们还没有从 GitHub 读取这个仓库
它在你的电脑上运行,没有互联网端点
在你的电脑上运行,改用本地设置
它在你的电脑上运行;我们只能读取互联网端点的工具列表
与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时,星标数才计入。
它在 1 项适用的基础检查中通过了 1 项。我们没有阅读代码。在添加密钥或令牌之前,请先看看这个服务器要求哪些权限,并使用只具备所需权限的密钥。
注册中心没有列出必需的密钥,不过有些服务器会在首次使用时要求你登录。
它在你的电脑上运行。你的 AI 应用会在需要时启动它,数据不会经过作者的服务器(除非它自己调用在线服务)。
GitHub 仓库最后更新于–,最新版本(1.1.0)于7个月前进入注册中心。
支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。
同一分类中有:Context7, Codebase Memory, Exa
同一分类中其他作者的服务器,按星标数排序。
如何看卡片:★ GitHub 星标i三大支柱:评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i
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Connect AI agents to Exa for web search, content fetching, and multi-step research.
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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.
git clone https://github.com/Techmatic-sys/indiamart-mcp-server.git
cd indiamart-mcp-server pip install -r requirements.txt
Then add to your Claude Desktop config and you're done. Full setup below.
git clone https://github.com/Techmatic-sys/indiamart-mcp-server.git
cd indiamart-mcp-server
python -m venv venv
venv\Scripts\activate
source venv/bin/activate
# MCP server only (lightweight, 4 packages)
pip install -r requirements.txt
pip install -r requirements-saas.txt
# Copy the example env file
cp .env.example .env # Linux/macOS copy .env.example .env # Windows
glusr_crm_key).env fileNote: The API key gives access to your leads. Keep it secret!
# Standard run (Claude Desktop starts this automatically)
python mcp_server.py
python mcp_server.py --version
python mcp_server.py --health
| OS | Path |
|---|---|
| Windows | %APPDATA%\Claude\claude_desktop_config.json |
| macOS | ~/Library/Application Support/Claude/claude_desktop_config.json |
| Linux | ~/.config/Claude/claude_desktop_config.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:
"C:\\Users\\YourName\\indiamart-mcp-server""/Users/yourname/indiamart-mcp-server""/home/yourname/indiamart-mcp-server"Close and reopen Claude Desktop. You should see the IndiaMART tools available in the tools menu.
claude mcp add indiamart -- python /ABSOLUTE/PATH/TO/indiamart-mcp-server/mcp_server.py
Then set your environment variables:
# In your shell profile or before launching Claude Code
export INDIAMART_API_KEY="your_crm_api_key_here" export INDIAMART_GLID="your_glid_here"
Add to your .claude/settings.json (project-level) or ~/.claude/settings.json (global):
{
"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.
Once connected, ask Claude Code:
OpenClaw is a self-hosted AI agent platform. Your IndiaMART leads become a native skill in OpenClaw, accessible from any interface OpenClaw supports.
| OS | Path |
|---|---|
| Linux/macOS | ~/.openclaw/openclaw.json |
| Windows | C:\Users\YourName\.openclaw\openclaw.json |
Open the config and add under skills.mcpServers:
{
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.json5at the repo root for a ready-to-copy template.
openclaw gateway restart
openclaw status --all
Run the MCP server in SSE mode on your server:
python mcp_server.py --transport sse --host 0.0.0.0 --port 8000
Then point your OpenClaw config to http://your-server-ip:8000.
| Prompt | What 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 |
| Tool | Description |
|---|---|
tool_get_leads_by_date | Fetch leads from IndiaMART for a date range |
tool_get_recent_leads | Get leads from the last N hours |
tool_get_lead_stats | Analytics: totals, by city, product, and date |
tool_search_leads | Search leads by keyword |
tool_get_lead_by_id | Full details of a specific lead |
tool_draft_reply | Draft a professional reply for a buyer |
tool_export_leads_csv | Export leads as CSV |
tool_sync_latest_leads | Sync latest from IndiaMART to local DB |
| Tool | Description |
|---|---|
tool_update_lead_stage | Move leads through pipeline (new → contacted → qualified → won/lost) |
tool_add_note | Attach private notes to leads for follow-up tracking |
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
.env file (not just .env.example).env file is in the project root directoryclaude_desktop_config.json for syntax errors (valid JSON?)cwd path is correct and mcp_server.py exists thereYYYY-MM-DD, DD-MM-YYYY, DD/MM/YYYY, DD-Mon-YYYY2026-01-15, 15-01-2026, 15-Jan-2026MIT License. Use freely for your business.
git checkout -b feature/my-featuregit commit -m "Add my feature"git push origin feature/my-featureBuilt with ❤️ for Indian sellers on IndiaMART