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Sensefold MCP server: personal context every AI you use reads and writes back to. Remote, OAuth 2.1 or tiered Agent keys.

This MCP server, developed by vincentf305, enables integration between Claude Desktop and Deepseek models. Built with Python and Docker, it provides a bridge for Claude to leverage Deepseek's AI capabilities through a simple API. The implementation focuses on ease of setup and configuration, with features like environment variable management and Docker containerization. It's particularly useful for users wanting to extend Claude's functionality with Deepseek's models, enabling use cases such as enhanced language processing, specialized task completion, or access to Deepseek-specific features without directly interacting with the Deepseek API.

Enables querying iCrop farm management data including farms, crops, fields, soil types, and cultivation methods through natural language.

🩺 AI-powered backend diagnostic MCP server. Understands what you're building and makes sure it actually works. Cross-boundary contract verification, living API docs, issue lifecycle tracking.

MCP server for AI code provenance, enabling traceability of file changes to AI agents, sessions, and prompts, plus reporting on AI-generated code activity.

Temporal-MCP is a Go-based server that exposes Temporal workflows as MCP tools for AI assistants. It dynamically generates tool definitions from YAML configuration files, handles workflow execution through the Temporal service, and implements SQLite caching for improved performance. The server supports features like task queue management, cache invalidation, and graceful error handling, making it ideal for organizations that want to leverage their existing Temporal workflows for AI automation without writing custom integration code.

Live, ranked search across any number of llms.txt documentation sites - Strands, Kiro, the AWS guides, and whatever you add at runtime.

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.