Discover Awesome MCP Servers

inspect-logs-mcp

Enables LLMs to explore and analyze UK Government BEIS inspect_ai evaluation logs directly from tools like Claude Code and Cursor. It provides capabilities to list logs, view evaluation summaries, and inspect conversation histories for specific samples.

Google Search MCP Server

A Model Context Protocol server that enables AI assistants to perform web searches using Google Search API, returning up to 20 search results in JSON format.

Multi-Service MCP Server

Enables searching and accessing ArXiv research papers with advanced query capabilities, and provides sequential thinking tools for structured problem-solving. Supports Boolean operators, field-specific searches, author lookups, and dynamic thought processes through a modular Docker-based architecture.

DigiKey MCP Server

A Model Context Protocol server that provides search and product information tools for DigiKey's electronic component catalog, allowing users to search products by keyword, get detailed product information, and access pricing data.

FastMCP Boilerplate

A starter template for building MCP servers with FastMCP, providing testing, linting, formatting, and NPM publishing setup.

Log Analyzer MCP

Enables AI-assisted analysis of log files through advanced searching, filtering, and test execution capabilities. Supports time-based queries, pattern matching, test summarization, and code coverage reporting directly within compatible MCP clients.

mcp-dev-record

A dedicated MCP (Model Context Protocol) server for recording and organizing conversation content, providing templated recording functionality.

Apple MCP - Enhanced Edition

Enables AI assistants to interact with native Apple applications including Messages, Notes, Contacts, Mail, Reminders, Calendar, and Maps. Features smart contact resolution, priority-based search, and comprehensive Apple ecosystem integration with enhanced error handling.

WorkOS AuthKit MCP Server

An example MCP server that integrates WorkOS AuthKit to enable secure remote client authentication and organization-centric user management. It allows developers to control access to specific tools based on user permissions and roles within an organization.

mcp-booth

Booth.pm

Claude-NWS Protocol Bridge

Proyek yang berfokus pada pembelajaran yang menghubungkan aplikasi desktop Claude ke US NWS API menggunakan protokol khusus, menyuntikkan data cuaca waktu nyata ke dalam konteks Claude.

The LlamaCloud-MCP Repository

llamacloud-mcp is a cloud computing platform that offers secure and scalable solutions for businesses looking to move to the cloud. It provides easy access to virtual servers and storage options for efficient data management.

Hopper MCP Server

Enables AI assistants to search flights and hotels, access AI-powered price forecasts, set price alerts, and initiate travel bookings through the Hopper platform. It provides real-time pricing and booking management capabilities directly within the Model Context Protocol.

ytt-mcp

An MCP server designed to fetch transcripts for YouTube videos. It enables AI tools to access video text content for tasks like summarization, analysis, and key takeaway extraction.

Evaluar MCP Server

Enables users to manage and launch eTalent recruitment processes on the Evaluar platform directly from their IDE. It supports authentication, company selection, position searching, and end-to-end process management including creation and assignment.

guardian-mcp-server

Provides access to the complete archives of The Guardian newspaper since 1999, including the full text of 1.9 million articles.

Social Download All In One

Enables downloading content from various social media platforms through a unified API. Provides a single tool to download media from multiple social networks using the Social Download All In One service.

mcpo-docker

Berikut adalah contoh Docker image untuk mcpo, sebuah alat yang mengekspos server MCP (Model Context Protocol) sebagai endpoint HTTP yang kompatibel dengan OpenAPI untuk OpenWebUI: ```dockerfile # Gunakan image dasar Python FROM python:3.11-slim-buster # Set direktori kerja di dalam container WORKDIR /app # Salin file requirements.txt (jika ada) dan instal dependensi COPY requirements.txt . RUN pip install --no-cache-dir -r requirements.txt # Salin kode sumber mcpo ke dalam container COPY . . # Ekspos port yang akan digunakan mcpo (sesuaikan dengan kebutuhan Anda) EXPOSE 8000 # Jalankan mcpo saat container dimulai CMD ["python", "main.py"] ``` **Penjelasan:** * **`FROM python:3.11-slim-buster`**: Baris ini menentukan image dasar yang akan digunakan. Dalam hal ini, kita menggunakan image Python 3.11 yang ringan (slim-buster). Anda dapat menyesuaikan versi Python sesuai kebutuhan proyek Anda. * **`WORKDIR /app`**: Baris ini menetapkan direktori kerja di dalam container menjadi `/app`. Semua perintah selanjutnya akan dijalankan dalam direktori ini. * **`COPY requirements.txt .`**: Baris ini menyalin file `requirements.txt` (jika ada) dari direktori lokal Anda ke direktori `/app` di dalam container. File `requirements.txt` biasanya berisi daftar dependensi Python yang dibutuhkan oleh proyek Anda. * **`RUN pip install --no-cache-dir -r requirements.txt`**: Baris ini menjalankan perintah `pip install` untuk menginstal dependensi yang tercantum dalam `requirements.txt`. Opsi `--no-cache-dir` mencegah pip menyimpan cache paket, yang dapat mengurangi ukuran image. * **`COPY . .`**: Baris ini menyalin semua file dan direktori dari direktori lokal Anda ke direktori `/app` di dalam container. Ini termasuk kode sumber mcpo Anda. * **`EXPOSE 8000`**: Baris ini mengekspos port 8000 dari container. Ini berarti bahwa aplikasi yang berjalan di dalam container akan dapat diakses melalui port 8000. Anda perlu menyesuaikan port ini dengan port yang digunakan oleh mcpo Anda. * **`CMD ["python", "main.py"]`**: Baris ini menentukan perintah yang akan dijalankan saat container dimulai. Dalam hal ini, kita menjalankan skrip Python `main.py`, yang diasumsikan sebagai titik masuk utama untuk mcpo. Anda mungkin perlu menyesuaikan perintah ini tergantung pada bagaimana mcpo Anda diatur. **Cara Menggunakan:** 1. **Simpan Dockerfile:** Simpan kode di atas sebagai file bernama `Dockerfile` di direktori root proyek mcpo Anda. 2. **Buat file `requirements.txt` (jika diperlukan):** Jika proyek mcpo Anda memiliki dependensi Python, buat file bernama `requirements.txt` di direktori root proyek Anda dan daftarkan semua dependensi di sana. Contoh: ``` fastapi uvicorn pydantic # ... dependensi lainnya ``` 3. **Bangun image Docker:** Buka terminal di direktori root proyek Anda dan jalankan perintah berikut: ```bash docker build -t mcpo-image . ``` Ini akan membangun image Docker dengan nama `mcpo-image`. Tanda titik (`.`) menunjukkan bahwa Dockerfile berada di direktori saat ini. 4. **Jalankan container Docker:** Setelah image berhasil dibangun, Anda dapat menjalankan container menggunakan perintah berikut: ```bash docker run -d -p 8000:8000 mcpo-image ``` * `-d`: Menjalankan container di latar belakang (detached mode). * `-p 8000:8000`: Memetakan port 8000 dari host ke port 8000 di dalam container. Anda dapat mengubah port host jika diperlukan. * `mcpo-image`: Nama image yang akan dijalankan. **Penting:** * Pastikan untuk mengganti `main.py` dengan nama file titik masuk utama mcpo Anda. * Sesuaikan port yang diekspos (`EXPOSE`) dan dipetakan (`-p`) dengan port yang digunakan oleh mcpo Anda. * Jika mcpo Anda memerlukan variabel lingkungan, Anda dapat menyetelnya menggunakan opsi `-e` saat menjalankan container (misalnya, `docker run -d -p 8000:8000 -e MCP_SERVER_URL=http://example.com mcpo-image`). * Pastikan kode mcpo Anda sudah siap dan berfungsi sebelum membangun image Docker. Contoh ini memberikan dasar untuk membuat image Docker untuk mcpo. Anda mungkin perlu menyesuaikannya lebih lanjut tergantung pada kebutuhan spesifik proyek Anda.

Marcus Local MCP Server

Enables AI assistants to semantically search through indexed documentation websites and local code repositories using OpenAI embeddings and ChromaDB vector storage.

Sequa MCP

Enables AI assistants to access contextual knowledge from multiple repositories through Sequa's Contextual Knowledge Engine. Provides architecture-aware code understanding and cross-repository context for more accurate, production-ready code generation.

Beeper MCP Server

Enables interaction with blockchain chains through a note storage system that allows adding, accessing, and summarizing notes via custom URI schemes.

Host Terminal MCP

Enables AI assistants to execute terminal commands on a host machine with configurable, granular permission controls and safety protections. It features multiple security modes, including allowlists and manual approval, to ensure safe command execution within specified directories.

MCP-CEP

A server for querying Brazilian postal codes (CEPs) using the ViaCEP public API, compatible with Goose as a command-line extension.

QuickSight MCP Server

An auto-generated MCP server that enables interaction with AWS QuickSight services through the Model Context Protocol. Provides programmatic access to QuickSight's business intelligence and analytics capabilities via the AWS QuickSight OpenAPI specification.

Grove's MCP Server for Pocket Network

Provides blockchain data access across 70+ networks including Ethereum, Solana, Cosmos, and Sui through Grove's public endpoints. Enables natural language queries for token analytics, transaction inspection, domain resolution, and multi-chain comparisons.

Fourth Brain Demo

An MCP server that connects Claude.ai to a Notion-based marketing knowledge base, enabling search and retrieval across specialized domains like enterprise platforms and competitive positioning. It provides tools for RAG-style Q\&A and content browsing to assist with drafting RFPs and value propositions.

Begagnad MCP

Enables AI agents to search and retrieve listings from Sweden's largest second-hand marketplaces, Blocket and Tradera. Returns unified data including prices, images, seller information, and direct links to listings.

mcp-gitlab

mcp-gitlab

Google Cloud Healthcare API MCP Server

Enables interaction with FHIR resources on Google Cloud Healthcare API through a SmartOnFHIR gateway secured by Firebase Auth, providing access to patient data, medical records, and medical research tools like PubMed.