What do I need to set up the Peliqan MCP server?
You need a Peliqan account ID and an API token. You also need to create an API handler script in Peliqan that defines your MCP methods and link it to a custom endpoint at `/mcp`.

@peliqan-io
基本信息
Peliqan is an all-in-one data platform with ETL and built-in data warehouse. The Peliqan MCP server allows you to connect to all your business applications to query data, ask analytical questions on your data etc. Use Peliqan to expose your SaaS business applications via MCP and
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"peliqan": {
"command": "python",
"args": [
"-m",
"mcp_server_peliqan"
],
"env": {
"peliqan_account_id": "1234",
"peliqan_api_token": "xxx"
}
}
}
}工具列表暂未提供
当前收录暂时没有可展示的工具列表,不代表服务没有工具。请查阅项目文档了解支持的能力。
工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。
Peliqan is an MCP server that connects Model Context Protocol (MCP) clients such as Claude Desktop to your Peliqan account. It allows you to expose MCP methods defined in API handler scripts inside Peliqan as tools.
Install the package with pip install mcp-server-peliqan, then configure your Peliqan account ID and API token either in a peliqan_config.json file in your home folder or as environment variables peliqan_account_id and peliqan_api_token. Add the server to Claude Desktop’s configuration file and set up a custom API endpoint in Peliqan pointing to an API handler script that contains your MCP methods.
/mcp with method POST.You need a Peliqan account ID and an API token. You also need to create an API handler script in Peliqan that defines your MCP methods and link it to a custom endpoint at `/mcp`.
Create a `peliqan_config.json` file in your home folder containing `account_id` and `api_token`, or set the `peliqan_account_id` and `peliqan_api_token` environment variables.
On Windows, the file is at `$env:AppData\Claude\claude_desktop_config.json`; on Mac, it is at `~/Library/Application\ Support/Claude/claude_desktop_config.json`.
Run `pip install mcp-server-peliqan` in your Python environment.

DPF (Data Prompt Forge) is an AI-powered platform for data ingestion, transformation and analytics using natural language. Describe your data and the shape you want and the AI infers the schema and generates the pipeline
Read public Instagram profiles and post feeds by handle in Claude, Cursor, and other MCP clients. Get follower counts, captions, hashtags, mentions, and engagement counts as structured JSON.
Hosted YouTube MCP server for search, video metadata, channel data and timestamped transcripts. Connect Claude, Cursor or other MCP clients with HasData; no YouTube API key required.

MCP server for AI visibility and SEO data. Check whether ChatGPT, Claude, Perplexity and Gemini mention your brand and which sources they cite, plus keyword search volume and Google Trends. Pay per call, no subscription.

Trendos is a remote MCP server for AI search visibility data and opportunities available at https://api.trendos.com.
评论