Coco AI is a unified search platform that integrates enterprise applications and data (such as Google Workspace, Dropbox, GitHub, etc.), providing cross-platform search and AI-driven team chat functions, aiming to improve work efficiency and collaboration experience.

Octocode MCP is an advanced AI code assistant that provides intelligent search and discovery functions across the GitHub and npm ecosystems. It helps developers quickly understand codebases, analyze project architectures, discover security patterns, and supports enterprise-level security and cross-platform use.

This project is a module that connects to the French enterprise search API. It supports searching for French enterprise information through text and geographical coordinates, provides key data such as enterprise names and SIREN/SIRET numbers, and includes development tools and debugging support.

FastApply MCP Server is an enterprise-level code intelligence platform that provides comprehensive code analysis, search, and refactoring capabilities through local AI models, AST semantic search, security scanning, and intelligent pattern recognition. It supports multi-language development and large codebase processing.

This project is an Apollo.io API server based on the MCP protocol, providing functions such as personnel/enterprise information query and job search. It encapsulates the Apollo.io API into a standardized tool through the FastMCP framework.

A collection of Model Context Protocol (MCP) servers, providing reference implementations and community resources, supporting enterprises to access AI tools in a secure and controllable manner, including service examples such as weather and search.

This is an MCP server project for searching and analyzing the Facebook public ads library. It can query the advertising placement of enterprises through tools such as Claude, including functions such as the number of ads, types, content analysis, and competitor comparison.

A FastMCP-based tool for interacting with Splunk Enterprise/Cloud through natural language, providing functions for searching, KV store management, and resource access.

The Python Alfresco MCP Server is an Alfresco Content Services Model Context Protocol server built on the FastMCP 2.0 framework. It provides 15 tools such as full - text search, document management, and metadata operations, supports multiple transport protocols such as STDIO/HTTP/SSE, and is suitable for both Alfresco Community Edition and Enterprise Edition.

GitHub Enterprise MCP Server, integrating GitHub API functions such as file operations, repository management, and search

A semantic code search server based on the MCP protocol, supporting two embedding models, OpenAI and Ollama, capable of indexing local projects or Git repositories, and providing an enterprise - level private code search solution.

The Data Gouv MCP server is an MCP service for interacting with the French Datagouv API, especially the enterprise search API, which provides query functions for enterprise names, addresses, director lists, etc.

This is an enterprise printer information MCP server that provides detailed printer specifications, pricing, troubleshooting, and setup information for sales and service teams. It supports 9 major brands such as HP, Canon, and Ricoh, and includes 10 intelligent tools for printer search, comparison, cost calculation, and fault handling.

Open Search MCP is a comprehensive model context protocol server that provides 33 professional search and research tools, covering multiple domains such as academia, development, and privacy search, with enterprise - level security features and standardized output.

Paperless MCP is an open - source modern document management system designed to provide enterprises with an efficient digital document processing solution, including document storage, organization, search, and processing, supporting functions such as OCR, metadata extraction, and automatic classification, while ensuring security and compliance.

The MCP server component of the Moqui framework enables the secure integration of AI systems with the Moqui enterprise framework, providing entity operations, service calls, and search functions

An MCP server integrated with the HCP Terraform Cloud/Enterprise API, providing functions to search for private modules and obtain module details.

This project provides code examples for developing and running an MCP server on Oracle OCI, including Python development, AI agent integration, semantic search, SelectAI integration, and connection with AI assistants such as ChatGPT, to help build enterprise - level AI applications.