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Provides secure, direct file system access to Obsidian vault files, enabling search, read, write, and discovery of notes without requiring the Obsidian app.

MCP server that enables safe, SSH-based interaction with a Pacemaker cluster, offering guarded pcs commands for status queries and controlled operations via MCP clients.

An enforcement layer that validates AI agent actions against governance policies, including path permissions and content scanning, at runtime. It enables secure, role-based execution of file operations and commands with zero token overhead by processing policies independently from the agent's context.

Enables audio file analysis using Google's Gemini multimodal models with support for additional context and system instructions to guide the model's behavior.

Fetches and filters posts from JSON Placeholder API by userId, with support for elicitation when userId is omitted.

Enables LLMs to interact with Supabase services including Database, Auth, Storage, and Edge Functions through the Model Context Protocol. It provides tools for CRUD operations, user management, file storage, and invoking functions.

A Python template for building Model Context Protocol (MCP) servers that expose tools via JSON-RPC, enabling secure and scalable context and tool invocation for language models.

MCP server built by kukapay that tracks and analyzes DEX liquidity pools using the DexScreener API to power intelligent DeFi agents and automated trading strategies. The implementation fetches comprehensive liquidity pool data for specified blockchain networks and token addresses, presenting results in structured markdown tables with key metrics including DEX ID, pair addresses, token symbols, USD prices, 24-hour transaction volumes, liquidity amounts, and market capitalizations, along with calculated total liquidity across all pools. Designed for DeFi applications requiring real-time liquidity analysis, automated trading bots that need pool depth information, and financial analysts monitoring decentralized exchange activity across multiple blockchain networks.

Enables querying passport visa rules for any nationality to destination pair.

Spotify MCP server

Enables secure execution of Python code, SQL queries, and metric fetching through MCP with ephemeral Docker sandboxing.

Enables AI assistants to query local Migas meeting transcripts, including searching, listing meetings, and retrieving speaker contributions, all read-only.

Provides AI assistants with direct access to the complete Godot Engine documentation, including classes, tutorials, and features. It enables developers to retrieve and analyze official documentation through natural language interfaces using the Model Context Protocol.

An MCP server for mem0 memory management backed by Qdrant, with per-collection isolation via HTTP headers. Enables storing, searching, updating, and deleting memories through natural language.

MCP server for TYPO3 v13/v14 development — gives AI assistants like Claude Code live insight into TCA, database schema, sites, TypoScript, logs and the core changelog.

Automate RZL Klientenportal.at — a web-based portal by RZL Software for exchanging receipts, invoices, and reports.

Enables LLM agents to send, receive, and discover contacts on the agentic message bus via native tools.

Kagi MCP server implementation by Carlo Zottmann that provides search and summarization capabilities through the kagi-ken package, offering an alternative to the official Python-based Kagi MCP server. The implementation features concurrent multi-query search processing with timeout handling, comprehensive token resolution supporting both environment variables and file-based authentication (~/.kagi_session_token), and output formatting that precisely matches the official Kagi MCP interface for seamless tool compatibility. Built with Node.js and designed for developers who prefer JavaScript-based tooling, it enables AI assistants to perform web searches and document summarization through Kagi's APIs while maintaining the same interface standards as the official implementation.

Enables AI agents to interact with local SQLite databases with full CRUD, schema introspection, foreign key relations, generated columns, and multi-format import/export (CSV, JSON, XLSX) through natural language.

Clones a Git repo into a temp directory so MCP clients can search and read files from another repo for context.