Dappier MCP Server

Category: AI Integration – MCP Servers
Brand: Dappier
Source: https://github.com/DappierAI/dappier-mcp

Description

Dappier MCP Server is a RAG-as-a-service Model Context Protocol (MCP) server that lets AI tools perform retrieval‑augmented generation over APIs and data sources. It is designed to enable fast, real-time web search and access to structured data from news, financial markets, sports, entertainment, weather, and other sources via Dappier.

Features

• RAG-as-a-service

  • Provides retrieval-augmented generation capabilities as a service for AI tools and agents.
  • Integrates external APIs and data sources into LLM workflows via MCP.

• Model Context Protocol (MCP) server

  • Implements an MCP-compatible server for use with MCP clients and AI agent frameworks.
  • Exposes tools/endpoints that LLMs can call for retrieval and query execution.

• API and data source integration

  • Connects to Dappier-powered APIs for:
    • Real-time web search
    • News content
    • Financial markets data
    • Sports information
    • Entertainment content
    • Weather data
    • Other premium or trusted media data sources (via Dappier platform).

• Real-time data access

  • Designed for fast, up-to-date information retrieval suitable for AI agents that need live data.

• Open-source implementation

  • Available on GitHub under the MIT license.
  • Includes Dockerfile and Python project configuration (pyproject.toml) for deployment and development.

• Tooling & ecosystem metadata

  • glama.json and smithery.yaml provided for integration with MCP-related tooling and registries.

Technical Details

• Language: Python (packaged as a Python project with pyproject.toml).
• Containerization: Dockerfile available for container-based deployment.
• License: MIT License.

Pricing

No explicit pricing information is provided in the available content. The repository itself is open source under the MIT license; usage of Dappier’s underlying data APIs may be subject to separate pricing or terms not detailed here.