What is an MCP server?
An MCP server is a program built on the Model Context Protocol that wraps a tool, data source, or API — like file access, a database, or web search — into a capability an AI assistant can discover and call.
MCP Servers
Discover awesome MCP servers.
Data & Analytics
Pure Data MCP Server
nikmaniatis
A Model Context Protocol (MCP) server for Pure Data, an open-source visual programming language and patchable environment for real-time computer music.
Data & Analytics
MCP server for ARM Data Quality Report database
lishanlitamu
An MCP (Model Context Protocol) server for accessing Data Quality Report(DQR) databases from the ARM user facility.
Data & Analytics
SeedBase — Synthetic Test Data
marcelglaeser
Generate realistic, FK-consistent test data for your databases from your AI assistant. List projects, get schema DDL, generate datasets as SQL.
Data & Analytics
MCP-VizAPI: Visual Data Extraction with VizAPI.ai
IvanZidov
Data & Analytics
salesforcemcp
abouabd
A Python MCP server providing tools for Salesforce metadata manipulation, data operations, and documentation search. Designed to power AI assistants for Salesforce tasks.
Data & Analytics
SM
Salesforce Marketing MCP Server by CData
CDataSoftware
This project builds a read-only MCP server. For full read, write, update, delete, and action capabilities and a simplified setup, check out our free CData MCP Server for Salesforce Marketing (beta): https://www.cdata.com/download/download.aspx?sku=FEZK-V&type=beta
Data & Analytics
Sitecore CDP Server
markstiles
Data & Analytics
(Demo) MCP Server for MeteoSwiss Data
eins78
Data & Analytics
Structured Data Validator & Transformer
agenson-tools
Professional MCP server for validating, transforming, and normalizing structured data - built specifically for AI agents
Data & Analytics
Fitness AI Connector
FMP
Talk to your Garmin data in Claude and ChatGPT. Hosted MCP server built on the Garmin Health API (OAuth) — no password sharing.
Data & Analytics
Mixpanel MCP Server
ciaraadkins
Data & Analytics
mcp-deep-research
Pb-207
An mcp server designed for local-deployed deep research.
Data & Analytics
Data Visualization MCP Server
AminKhorramii
data-viz-mcp-server
Data & Analytics
SP
Salesforce Pardot MCP Server by CData
CDataSoftware
This project builds a read-only MCP server. For full read, write, update, delete, and action capabilities and a simplified setup, check out our free CData MCP Server for Salesforce Pardot (beta): https://www.cdata.com/download/download.aspx?sku=GPZK-V&type=beta
Data & Analytics
Tokenbel Financial Data
Red-Panda-Dev
Read-only MCP server providing access to Belarusian securities data: tokens, shares, bonds, companies, ticker search, and company name or UNP search.
Data & Analytics
Telemost Mcp Server
slava01011910-ops
Telegram analytics as MCP tools, pay-per-call in USDC via x402 (no accounts, no API keys).
Data & Analytics
AI - Research Assistant
hamid-vakilzadeh
Semantic Scholar MCP
Data & Analytics
Frequently asked questions
Common questions about MCP servers, tools, and integrations
How do I install an MCP server?
Every server's detail page includes ready-to-paste config snippets for Claude Desktop, Cursor, VS Code, and other common clients — most installs take just a couple of minutes.
Are MCP servers free to use?
Most servers listed here are free and open source. Some wrap third-party APIs (cloud services, paid data providers, etc.) that require your own API key or subscription.
What is the difference between local and remote MCP servers?
A local MCP server runs on your device and usually connects over stdio, giving you more direct control over data but requiring a runtime and installation. A remote MCP server is hosted by a provider and connects over HTTP, making setup easier while adding network and provider availability dependencies.
Which AI clients can connect to MCP servers?
Claude Desktop, Claude Code, Cursor, VS Code, Codex, and other AI clients that support the Model Context Protocol can connect to MCP servers. Configuration formats and supported transports vary by client.
How can I evaluate whether an MCP server is safe and reliable?
Review the source repository, maintenance activity, dependencies, requested permissions, and data-handling documentation before installation, and prefer official or trusted maintainers. Use least-privilege credentials for sensitive access such as files, databases, shells, and production systems.