Browse the catalog

This Next.js documentation MCP server provides AI assistants with structured access to Next.js documentation URLs without requiring AI dependency for URL retrieval. Built with TypeScript and the MCP SDK, it maintains a comprehensive database of Next.js documentation links organized by categories including getting started, routing, data fetching, API routes, deployment, optimization, guides, and API reference. The implementation includes auto-trigger guidance for clients to invoke the server when Next.js-related queries or errors are detected, and instructs AI agents to fetch actual documentation content from the provided URLs to ground their responses in current Next.js documentation, making it particularly useful for developers seeking accurate Next.js guidance and troubleshooting assistance.

Enables AI models to interact with BookStack wiki instances through a comprehensive API interface. Supports content management (books, chapters, pages), user administration, search functionality, and content export in multiple formats.

A generic MCP server that connects AI agents to any SPARQL 1.1 endpoint, enabling querying and updating RDF data across various triple stores.

MCP server: decode and inspect JSON Web Tokens (JWTs).

Search official US government data from any MCP client: building permits from 10 city open-data portals, federal contract opportunities from SAM.gov with contracting-officer contacts, and the CMS NPI healthcare-provider registry. Open-source TypeScript server; data delivered via Apify's pay-per-result actors using your own Apify token.

Amazon MCP Server - AI agent access to product data, prices, and reviews via MCP

An Unreal Engine native MCP server and tools to interface with LLM models such as Claude to automate various workflows

A China fund & stock data MCP server powered by EastMoney free API, enabling querying of fund and stock data without API keys.

JobApply MCP Server streamlines job application workflows by providing tools to scrape job postings from URLs, read resume content from PDFs and documents, and generate tailored cover letters. Developed by Sakshee5, it includes ATS scoring functionality that performs keyword matching between job descriptions and resumes, company research capabilities using DuckDuckGo search, and prompts for resume enhancement and gap analysis. The implementation integrates with Claude Desktop and focuses on automating the tedious aspects of job applications while helping users optimize their materials for applicant tracking systems.

Demo MCP server using Janee for encrypted secrets management. Shows how AI agents can securely access API keys at runtime.

A read-only MCP server exposing SLURM, GPFS, Prometheus (node exporter + DCGM GPU metrics) and generic Elasticsearch exploration as diagnostic tools for LLM-based HPC support assistants.

Enables fetching detailed Pokémon data from PokéAPI, including Pokémon info, types, moves, abilities, and search with pagination.

Scrape and analyze replies from any public Threads post right from your AI coding agent.

Enables access to YApi interface documentation by retrieving API details through interface IDs or direct YApi URLs.

Enables Claude to search and retrieve DOE-sponsored scientific literature from OSTI.gov, including technical reports, journal articles, theses, patents, and datasets, via two tools: search_osti and get_osti_record.

Enables AI assistants to interact with Jira instances via the Model Context Protocol, providing 36 tools for reading and writing issues, projects, sprints, metrics, and more.

An MCP server that enables AI assistants to manage conversations, agents, prompt templates, and plugins within the DreamingAI enterprise AI ecosystem.

Extracts today's Git commit history and code changes from a local repository, filtering by the current user and excluding merge commits, for integration with MCP clients like Claude Desktop.

Enables AI agents to ingest documents, generate embeddings, and perform semantic search via PostgREST APIs.

A capacity-safe next scan schedule that names what it could not fit, and why.