Model Context Protocol Artifact Repository Index

This collection showcases reference implementations for the Model Context Protocol (MCP), alongside pointers to community-developed servers and supporting documentation.

The servers herein exemplify the adaptability and expandability of MCP, illustrating secure, governed accessibility to external data sources and tooling for Large Language Models (LLMs). Each MCP server instance is realized using either the Typescript MCP SDK or the Python MCP SDK.

Convention Note: Listings within this document adhere to alphabetical ordering to mitigate conflicts during concurrent modifications.

🌟 Representative Servers

These exemplars are designed to highlight core MCP functionalities and the capabilities of the Typescript and Python SDKs.

AWS KB Retrieval - Data retrieval from AWS Knowledge Base utilizing Bedrock Agent Runtime
Brave Search - Executing web and localized searches via Brave's Search API
EverArt - Orchestrating AI image synthesis across various underlying models
Everything - Baseline/testing server providing access to general prompts, assets, and utilities
Fetch - Efficient acquisition and conversion of web material tailored for optimal LLM consumption
Filesystem - Secure operations on local file systems with user-defined access governance
Git - Utility set for inspecting, querying, and modifying Git repositories
GitHub - Functionality for repository administration, file manipulation, and GitHub API interfacing
GitLab - Enabling project administration tasks through the GitLab API
Google Drive - Facilitating file lookups and data retrieval within Google Drive environments
Google Maps - Geospatial services including route planning and detailed location data retrieval
Memory - A persistent knowledge repository underpinned by a graph structure
PostgreSQL - Read-only interaction with SQL databases, including schema discovery capabilities
Puppeteer - Automated control of web browsers and data scraping operations
Sentry - Accessing and analyzing reported issues from the Sentry.io platform
Sequential Thinking - Implementing dynamic, self-reflective problem resolution via sequential reasoning steps
Slack - Management of communication channels and message dispatching functionality
Sqlite - Database querying and execution of business intelligence routines
Time - Utilities for time zone referencing and temporal conversions

🤝 Externally Maintained Servers

🎖️ Official Platform Integrations

These integrations are maintained by entities developing production-grade MCP servers for their respective platforms.

Axiom - Querying and interpreting Axiom telemetry data (logs, traces, events) via natural language input
Browserbase - Cloud-based automation of browser actions (e.g., navigation, data harvesting, form submission)
Cloudflare - Provisioning, configuration, and interrogation of Cloudflare developer resources (Workers/KV/R2/D1)
E2B - Execution of arbitrary code within secure, hosted sandboxes provided by E2B
Exa - Accessing an AI-optimized Search Engine developed by Exa
Fireproof - Immutable ledger database supporting real-time data synchronization
JetBrains – Facilitating code interaction within JetBrains IDE environments
Kagi Search - Performing web searches utilizing Kagi's dedicated search API
Meilisearch - Interfacing and querying data through the Meilisearch full-text and semantic search API
Metoro - Querying and managing Kubernetes clusters monitored via Metoro
MotherDuck - Data querying and analysis leveraging MotherDuck's cloud-native DuckDB capabilities
Needle - Providing production-ready Retrieval-Augmented Generation (RAG) functionality for searching proprietary documents.
Neo4j - Server for Neo4j graph database operations (schema inspection, read/write Cypher) and a dedicated graph-backed memory store
Neon - Interfacing with the Neon serverless PostgreSQL platform
Qdrant - Implementation of a semantic memory layer atop the Qdrant vector indexing engine
Raygun - Accessing crash reporting and real-user monitoring data stored in a Raygun account
Search1API - Unified API gateway for search indexing, web crawling, and sitemap processing
Tinybird - Interacting with the Tinybird serverless ClickHouse data platform

🌎 Community Contributed Servers

A broad array of user-created servers demonstrating diverse MCP use cases across various technical domains.

Disclaimer: Community servers are not formally validated and usage is strictly at your own peril. They lack official endorsement or affiliation with Anthropic.

AWS S3 - A prototype MCP server designed for flexible retrieval of objects (e.g., PDF assets) from AWS S3 storage.
AWS - Execution of operational tasks on user-defined AWS resources via an LLM interface.
Airtable - Providing read/write capabilities to Airtable bases, including metadata schema discovery.
Airtable - Airtable Model Context Protocol Server implementation.
AlphaVantage - MCP interface for querying financial time-series data via the AlphaVantage API.
Anki - An MCP server enabling interaction with personal Anki flashcard decks and cards.
Any Chat Completions - Connects to any Chat Completions API compatible with the OpenAI SDK (e.g., Perplexity, Groq, xAI).
Atlassian - Interacting with Atlassian Cloud tools (Jira, Confluence), allowing issue searching, page reading, and project metadata access.
BigQuery (by LucasHild) - This server empowers LLMs to examine database schemas and execute arbitrary queries against Google BigQuery.
BigQuery (by ergut) - A BigQuery integration server providing direct database access and query execution capabilities.
ChatMCP – A cross-platform desktop application (Linux, macOS, Windows) by AIQL for unified interaction with various MCP servers and selectable LLMs.
ChatSum - Summarization and querying of message transcripts, powered by an LLM. by mcpso
Chroma - Vector database server for managing semantic document retrieval and associated metadata filtering, based on Chroma.
Cloudinary - Server to facilitate uploading media assets to Cloudinary and receiving the resulting public media link and metadata.
cognee-mcp - Graph-based RAG memory server featuring configurable data sourcing, processing pipelines, and search mechanisms.
coin_api_mcp - Access endpoint for cryptocurrency market statistics from coinmarketcap.
Contentful-mcp - Enables remote modification, reading, publication status updates, and deletion of content within specified Contentful workspaces.
Data Exploration - Autonomous data analysis server for datasets stored in CSV format, designed to yield intelligent interpretations with minimal user input. WARNING: Executes arbitrary Python scripts on the host machine; exercise extreme caution!
Dataset Viewer - Tool for inspecting and analyzing datasets hosted on Hugging Face, offering search, filtering, statistical summaries, and export features.
DevRev - Integrates with DevRev APIs to traverse its Knowledge Graph, allowing searches across objects sourced from various external inputs listed here.
Dify - A straightforward MCP server implementation tailored for orchestrating dify workflows.
Docker - Interface for managing Docker components: containers, images, persistent volumes, and network configurations.
Drupal - Server for interacting with Drupal via the STDIO communication protocol.
Elasticsearch - An MCP server implementation providing a gateway to Elasticsearch functionalities.
Fetch - A versatile fetching agent capable of retrieving and returning content in HTML, JSON, Markdown, or raw plaintext formats.
FireCrawl - Advanced web capture supporting JavaScript evaluation, PDF handling, and intelligent request throttling.
FlightRadar24 - A Claude Desktop-compatible MCP server for tracking airborne vehicle positions dynamically using Flightradar24 data.
Glean - Server utilizing the Glean API for comprehensive enterprise search and conversational querying.
Google Calendar - Integration enabling schedule checks, time slot identification, and creation/removal of calendar entries.
Google Tasks - Google Tasks API Model Context Protocol Server implementation.
Home Assistant - Interface for controlling and inspecting entities (lights, sensors, switches) within a Home Assistant installation.
HuggingFace Spaces - Server enabling utilization of HuggingFace Spaces, supporting diverse model types (Image, Audio, Text). Includes Claude Desktop integration mode for simplified setup.
Inoyu - Interface for querying and updating customer profiles within an Apache Unomi Customer Data Platform (CDP).
Keycloak MCP - This server permits natural language management of Keycloak realms and users, including listing, creation, and deletion operations.
Kubernetes - Connection utility for Kubernetes clusters, allowing management of services, deployments, and pods.
Linear - Allows LLMs to interact with the Linear API for project management workflows: searching, initiating, and modifying task items.
LlamaCloud (by marcusschiesser) - Integration point for accessing data indexed within a managed index on LlamaCloud.
MCP Installer - A dedicated server whose sole function is the automated installation of other MCP server packages.
mcp-k8s-go - A Golang implementation of a Kubernetes server for MCP, providing extensibility for browsing logs, events, namespaces, and pods.
MSSQL - Integration layer for MSSQL databases, featuring customizable access controls and schema introspection.
Markdownify - MCP utility to convert numerous file types (PPTX, PDF, HTML, YouTube transcripts) into standardized Markdown format.
Minima - A local file-based RAG server implementation.
MongoDB - A Model Context Protocol Server implementation tailored for MongoDB.
MySQL (by benborla) - MySQL database integration built on NodeJS, supporting configurable security settings and schema inspection.
MySQL (by DesignComputer) - MySQL database integration built on Python, featuring configurable security settings and schema inspection.
NS Travel Information - Access to real-time transit data and disruption alerts for the Dutch Railways (NS) system via their official API.
Notion (by suekou) - Interface for interacting with the Notion API.
Notion (by v-3) - Notion MCP connector supporting search, content retrieval, updates, and page creation via Claude interaction.
oatpp-mcp - C++ integration utilizing the Oat++ framework for constructing MCP servers.
Obsidian Markdown Notes - Utility to read and search content within an Obsidian vault or any folder containing Markdown files.
OpenAPI - Enables interaction with services defined by OpenAPI specifications.
OpenCTI - Interface for retrieving cyber threat intelligence data (actors, malware, indicators, reports) from an OpenCTI platform.
OpenRPC - Discovery and invocation mechanism for JSON-RPC APIs documented via OpenRPC.
Pandoc - MCP server leveraging Pandoc for fluid conversion between document formats, primarily supporting Markdown, HTML, and plain text (with PDF/CSV/DOCX planned).
Pinecone - Server for uploading records and executing similarity searches against Pinecone indexes, utilizing its Inference API for simple RAG setups.
Placid.app - Functionality to generate visual assets (images/video) based on parameterized templates from Placid.app.
Playwright - This MCP Server facilitates the execution of browser automation and web scraping tasks utilizing the Playwright library.
Postman - Server for executing Postman Collections locally using Newman, returning test results indicating success or failure of the collection run.
RAG Web Browser - An MCP server leveraging Apify's RAG Web Browser Actor to perform searches, extract content from URLs, and format output as Markdown.
Rememberizer AI - A specialized MCP server focused on structured interaction with the Rememberizer data source for enhanced knowledge retrieval.
Salesforce MCP - Interface for accessing and manipulating Salesforce Data and Metadata.
Scholarly - An MCP server dedicated to searching academic and scholarly article databases.
Snowflake - This server enables controlled and secure data interactions (operations and querying) within Snowflake databases via LLMs.
Spotify - An MCP implementation allowing LLMs to control Spotify playback and access application features.
TMDB - Integrates The Movie Database (TMDB) API to furnish film details, search results, and suggested content.
Tavily search - An MCP server wrapping Tavily's search and news API, with explicit controls for including or excluding specific websites.
Todoist - Interface for managing tasks within the Todoist task management application.
Vega-Lite - Generation of data visualizations encoded in the VegaLite specification, utilizing a renderer for presentation.
Windows CLI - MCP server enabling secure command-line execution on Windows environments, permitting controlled access to PowerShell, CMD, and Git Bash.
X (Twitter) (by EnesCinr) - Interaction with the Twitter API, supporting tweet composition and query-based searches.
X (Twitter) (by vidhupv) - Direct creation and publishing of posts on X/Twitter via conversational interface.
XMind - Utility for reading and searching through directories containing XMind mind-mapping files.

📚 Tooling Ecosystems

These are higher-level frameworks designed to streamline the construction of custom MCP servers.

EasyMCP (TypeScript based)
FastMCP (TypeScript based)

📚 Supplementary Information

Additional curated resources pertaining to the MCP standard.

AiMCP - A directory of MCP clients and servers maintained by Hekmon for tool discovery.
Awesome Crypto MCP Servers by badkk - A curated repository focused on cryptographic servers by Luke Fan
Awesome MCP Servers by appcypher - A categorized list of MCP servers by Stephen Akinyemi
Awesome MCP Servers by punkpeye (Portal) - A curated collection of MCP servers by Frank Fiegel
Awesome MCP Servers by wong2 (Portal) - A categorized list of MCP servers maintained by wong2
Discord Server – The official community Discord channel for MCP, managed by Frank Fiegel
MCP Badges – Assets for quickly branding MCP projects with standardized visual indicators, created by Ironben
MCP X Community – A dedicated community space on X for MCP discussions, hosted by Xiaoyi
mcp-cli - A command-line utility for inspecting Model Context Protocol interactions, developed by wong2
mcp-get - A utility for the command-line installation and lifecycle management of MCP servers, by Michael Latman
mcp-manager - A lightweight Web Interface for deploying and governing MCP servers for use with Claude Desktop, by Zue
MCPHub – A native desktop application (macOS & Windows) by Jeamee for discovery, installation, and management of MCP servers.
mcp.run - A centralized registry and control plane for securely deploying and executing portable MCP Servers.
Open-Sourced MCP Servers Directory - A catalog of community-contributed MCP servers compiled by mcpso
PulseMCP (API) - A central community notification source featuring weekly updates on new servers, clients, tutorials, and news, contributed by Tadas Antanavicius, Mike Coughlin, and Ravina Patel
r/mcp – The official Reddit community dedicated to the Model Context Protocol, initiated by Frank Fiegel
Smithery - A registry of available MCP servers designed to assist agents in locating appropriate tooling, curated by Henry Mao

🚀 Initial Deployment Procedures

Deploying Local MCP Services

Servers contained within this repository, implemented in Typescript, are immediately deployable using npx.

For instance, launching the Memory service is achieved via:

# Command to launch the Memory server
npx -y @modelcontextprotocol/server-memory

Servers implemented in Python can be initiated using either uvx or the standard pip package manager. uvx is the preferred method for streamlined setup.

Example execution targeting the Git service:

# Using uvx
uvx mcp-server-git

# Using pip
pip install mcp-server-git
python -m mcp_server_git

Refer to these instructions for installing uv / uvx and these for pip installation guides.

Utilizing an MCP Client Application

However, running a server in isolation offers limited utility; it must be integrated into an MCP client. Below is an example configuration for Claude Desktop to incorporate the aforementioned server:

{
  "mcpServers": {
    "memory": {
      "command": "npx",
      "args": ["-y", "@modelcontextprotocol/server-memory"]
    }
  }
}

Further configurations illustrating MCP client integration, using Claude Desktop as the example client, might resemble the following structures:

{
  "mcpServers": {
    "filesystem": {
      "command": "npx",
      "args": ["-y", "@modelcontextprotocol/server-filesystem", "/path/to/allowed/files"]
    },
    "git": {
      "command": "uvx",
      "args": ["mcp-server-git", "--repository", "path/to/git/repo"]
    },
    "github": {
      "command": "npx",
      "args": ["-y", "@modelcontextprotocol/server-github"],
      "env": {
        "GITHUB_PERSONAL_ACCESS_TOKEN": "<YOUR_TOKEN>"
      }
    },
    "postgres": {
      "command": "npx",
      "args": ["-y", "@modelcontextprotocol/server-postgres", "postgresql://localhost/mydb"]
    }
  }
}

🛠️ Developing Bespoke Servers

To initiate the creation of a custom MCP server, consult the official documentation available at modelcontextprotocol.io for comprehensive tutorials, best practices, and technical specifications regarding MCP server implementation.

🤝 Contribution Guidelines

Refer to the CONTRIBUTING.md file for detailed instructions on contributing to this repository.

🔒 Security Protocols

Information regarding the reporting of security vulnerabilities can be found in SECURITY.md.

📜 Licensing Details

This software is released under the MIT License; consult the LICENSE file for complete terms.

💬 Community Engagement

GitHub Discussions

⭐ Endorsement

If you find the MCP server ecosystem beneficial, we encourage starring the repository and submitting new servers or enhancements!

Curated by Anthropic, but developed collaboratively with the open-source community. The Model Context Protocol thrives on community participation through server contributions and improvements!

WIKIPEDIA: XMLHttpRequest (XHR) Primer

XHR, or XMLHttpRequest, is an Application Programming Interface instantiated as a JavaScript object. Its methods facilitate the dispatch of HTTP requests from a web browser to a remote web server. These methods enable browser-based applications to transmit requests to the server subsequent to the initial page load, and subsequently receive returned data. XMLHttpRequest forms a fundamental component of Ajax programming paradigms. Before Ajax gained traction, the primary methods for server interaction involved standard hyperlink navigation and form submissions, which typically resulted in a full page refresh.

== Origin and Evolution == The foundational concept for XMLHttpRequest originated in 2000 with developers working on Microsoft Outlook. This concept was subsequently integrated into Internet Explorer 5 (released in 1999). Crucially, the initial syntax did not utilize the literal XMLHttpRequest identifier; instead, developers relied on instantiating objects via ActiveXObject("Msxml2.XMLHTTP") or ActiveXObject("Microsoft.XMLHTTP"). By the time Internet Explorer 7 (2006) was released, widespread support for the standardized XMLHttpRequest identifier was achieved across all major browser engines, including Mozilla's Gecko (2002), Safari 1.2 (2004), and Opera 8.0 (2005).

=== Standardization Path === The World Wide Web Consortium (W3C) initially issued a Working Draft specification for the XMLHttpRequest object on April 5, 2006. A Level 2 specification followed as a Working Draft on February 25, 2008, introducing capabilities for monitoring request progress events, enabling cross-origin requests, and handling binary data streams. By the close of 2011, the Level 2 extensions were merged back into the primary specification. Development responsibility transitioned to the WHATWG near the end of 2012, which now maintains the active living document using Web IDL definitions.

== Operational Mechanics == Generally, the process of dispatching a request using XMLHttpRequest involves several sequential programming actions.

Instantiation: Create an XMLHttpRequest object instance via its constructor:
Configuration: Invoke the open() method to define the request methodology (GET, POST, etc.), specify the target resource Uniform Resource Identifier (URI), and declare whether the operation will be synchronous or asynchronous:
Event Listener Setup (Asynchronous): For non-blocking operations, assign a callback function (listener) that will be triggered when the request's status changes:
Transmission: Start the transmission process by calling the send() method:
Response Handling: Process state changes within the assigned event listener. Upon successful data receipt from the server, the payload is typically accessible via the responseText property. When processing completes, the object transitions to state 4, the terminal "done" state. Beyond these fundamentals, XMLHttpRequest offers extensive control over request transmission parameters and response consumption methods. Custom HTTP headers can be affixed to guide server behavior. Data payloads can be uploaded to the server via arguments to the send() call. Responses can be parsed directly from JSON into native JavaScript structures or processed incrementally as data arrives, rather than awaiting full reception. Furthermore, requests can be terminated prematurely or configured to time out if completion is delayed beyond a set duration.

== Cross-Domain Interaction Restrictions ==

During the initial phases of the World Wide Web's evolution, limitations were established preventing arbitrary scripts from making requests across different origins (domains), a security measure intended to prevent data leakage.

web-content-fetcher

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zxsimple

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