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exa-labs/exa-mcp-server

0
View on GitHub↗
3,820 stars·297 forks·TypeScript·mit·12 viewsexa.ai/docs/reference/exa-mcp↗

Exa Mcp Server

This project is a Model Context Protocol server that provides large language models with neural web search and webpage content extraction capabilities. It implements a standardized interface to expose research tools and resources to compatible clients.

The server integrates a neural search engine to retrieve real-time internet data using semantic embeddings rather than keyword matching. It includes specialized utilities for company intelligence and reasoning-based deep research, enabling the collection and synthesis of organizational data and professional profiles.

The system covers a broad range of research capabilities, including the discovery of technical code snippets and the application of advanced filters for domains and dates. It also features a content transformation pipeline that converts live webpages into clean markdown format.

The project is developed in TypeScript.

Features

  • Model Context Protocol Implementations - Implements the Model Context Protocol to expose research tools and resources to AI models.
  • Deep Research Execution - Implements autonomous execution of complex analytical search tasks and multi-step research synthesis.
  • MCP Servers - Implements a Model Context Protocol server that exposes neural web search and content extraction tools.
  • Real-Time Web Search Integrations - Integrates neural search capabilities into AI agents to retrieve real-time internet data for grounding.
  • Search Engine APIs - Provides a programming interface for executing deep research and filtered searches using a neural engine.
  • Semantic Search Engines - Integrates a search engine that uses vector embeddings to retrieve web content based on semantic meaning.
  • Markdown Converters - Converts live webpages into clean markdown format to optimize content for large language model processing.
  • Web Search Engines - Retrieves real-time information from the internet using a neural search engine for high relevance.
  • Model Context Protocol Integrations - Connects large language models to external web research tools via the standardized Model Context Protocol.
  • Competitive Intelligence Generation - Automates the collection and synthesis of company data to generate competitive intelligence.
  • Technical Research Agents - Provides AI-driven tools for gathering and synthesizing technical documentation and code snippets from the web.
  • Company Intelligence Utilities - Collects and synthesizes detailed organizational data to generate professional company profiles.
  • HTML to Markdown Converters - Transforms raw HTML data into clean markdown format for better LLM processing and token efficiency.
  • Markdown Conversions - Converts live webpage content into a clean markdown format for AI consumption.
  • Web Page Markdown Converters - Converts rendered web page content into a clean markdown format via an API.
  • Search and Web - Real-time web information retrieval via Exa AI.
  • Data & Databases - AI-optimized web search and extraction
  • Search and Research - Provides access to a search engine specifically designed for AI agents.

Star history

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Frequently asked questions

What does exa-labs/exa-mcp-server do?

This project is a Model Context Protocol server that provides large language models with neural web search and webpage content extraction capabilities. It implements a standardized interface to expose research tools and resources to compatible clients.

What are the main features of exa-labs/exa-mcp-server?

The main features of exa-labs/exa-mcp-server are: Model Context Protocol Implementations, Deep Research Execution, MCP Servers, Real-Time Web Search Integrations, Search Engine APIs, Semantic Search Engines, Markdown Converters, Web Search Engines.

What are some open-source alternatives to exa-labs/exa-mcp-server?

Open-source alternatives to exa-labs/exa-mcp-server include: deedy5/ddgs — ddgs is a metasearch engine and web content extractor that provides a toolkit for programmatically retrieving search… memmachine/memmachine — MemMachine is a centralized memory management server and model-agnostic memory layer for large language models. It… langroid/langroid — Langroid is a multi-agent orchestration framework and tool integration suite designed for building complex AI… fatwang2/search1api-mcp — 中文文档. mark3labs/mcp-go — mcp-go is a Go implementation of the Model Context Protocol (MCP) providing an SDK and framework for building servers… modelcontextprotocol/inspector — The inspector is a diagnostic and validation tool for the Model Context Protocol. It provides an interactive interface…