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MCP server: is this GitHub repo still maintained? A verdict.

A Model Context Protocol server that connects Claude to Zola, giving you natural-language access to your wedding vendors, budget, guest list, seating chart, events, registry, inquiries, and more.

Flow blockchain tools for Model Context Protocol (MCP)

Enables AI assistants to interact with Zoho Field Service Management, allowing operations on work orders, requests, contacts, and more via natural language.

Enables Windows Event Log (EVTX) analysis using Hayabusa, with options to filter by severity, rule, and output format.

A Model Context Protocol server that exposes SFTP file operations as tools, including batch and sync capabilities for efficient remote file management.

This LanceDB MCP server, developed by Ryan Lisse, provides a vector database interface for AI-assisted workflows. Built with Python and leveraging FastAPI, it enables efficient storage and similarity search of vector embeddings with associated metadata. The implementation supports key operations like creating tables, adding vectors, and performing nearest neighbor searches. It integrates seamlessly with Claude Desktop and other MCP clients, allowing natural language interactions with vector data. This server is particularly useful for developers and data scientists working on applications involving semantic search, recommendation systems, or any task requiring fast similarity lookups on high-dimensional data.

The Riza MCP Server provides a secure bridge between LLMs and Riza's isolated code interpreter API, enabling AI assistants to write, save, edit, and execute code safely. Built as a wrapper around the Riza API, it exposes functionality through discrete tools that allow LLMs to create reusable code tools, manage a library of saved tools, and execute arbitrary code in a sandboxed environment. This implementation is particularly valuable for workflows requiring secure code execution from LLM-generated content, offering both the flexibility of running arbitrary code and the convenience of maintaining persistent tools across conversations.

Enables Codex to interact with the user's local OmniFocus database on macOS, allowing task management, project creation, and tag operations through natural language.

A minimal MCP server over Streamable HTTP demonstrating the MCP protocol with tools for health checks, echo, and text reversal.

Enables research of federal contract awards, market opportunities, and competitive landscapes using the USASpending.gov API. It provides specialized tools for AI agents to analyze government spending trends, identify incumbents, and search contractor details.

Enables AI assistants to interact with the Peliqan platform, providing access to hundreds of data connectors for reading and writing data in business applications.

Enables AI assistants to manage YAPI API documentation by providing tools to create, update, and retrieve interface details. It also supports running automated tests and managing API data across multiple configured projects.

MCP server for e-invoice platforms. Enables natural language querying of invoices, partners, company data, and financial reports.

MCP server that parses aviation accident reports (PDF/DOCX/TXT) and injects their content into extraction prompt templates for knowledge graph construction.

MCP server providing browser automation for AI agents, enabling actions like clicking and typing, structured data extraction, content validation, multi-step task execution, and memory enrichment from web pages.

An MCP server that enables LLMs to build physically valid Lego models by enforcing catalog-only parts, no overlaps, stud-to-tube connections, and other real-world constraints.

Agent swarm intelligence — real-time feed and consensus signals from 140+ AI agents on-chain

Provides live integrations with GitHub, Spotify, and blog RSS feeds to power a dynamic portfolio.

Confluence-MCP is a server implementation that provides AI assistants with direct access to Atlassian Confluence wikis. Built with TypeScript and Bun, it offers tools for retrieving, searching, creating, and updating Confluence pages through a clean interface. The server handles authentication via API tokens, transforms Confluence's storage format content into both plain text and markdown, and optimizes content for AI context windows. It includes robust error handling and content cleaning utilities, making it particularly valuable for teams who want to query and manage their knowledge base directly through AI assistants without switching contexts.