MCP Servers Directory — Page 3

Integrates Vercel's REST API as tools within an MCP server, providing programmatic access to deployment management.

Provides optimized file system operations with smart context management and token-efficient partial reading/editing.

Provides a Python interface to the Perplexity API for querying responses and managing conversations.

Exposes Obsidian vaults to AI assistants through a local REST API using the Model Context Protocol.

Delivers jobs based on specified needs via a simple MCP server.

Enables natural language querying of PostgreSQL databases using Ollama's LLM and the Model Context Protocol.

Augments AI responses with relevant documentation context through vector search.

Automates resume updates by analyzing coding projects using AI.

Implements a Model Context Protocol server using the WordPress REST API.

Manipulates video files using FFmpeg to resize videos and extract audio in various formats.

Chains calls to other Model Context Protocol (MCP) tools, reducing token usage by enabling sequential tool execution with result passing.

Demonstrates implementation and usage of Anthropic's Model Context Protocol (MCP) with AWS Bedrock.

Runs Python code locally within an interactive REPL environment.

Integrates Feishu APIs to enable AI models to interact with Feishu services.

Automates LinkedIn interactions and extracts data through browser automation, respecting terms of service and rate limits.

Enables remote control of Chrome tabs through the DevTools Protocol for tasks like executing JavaScript, capturing screenshots, and monitoring

Deploys and monitors the status of CrewAI workflows.

Automates browser interactions and enables Large Language Models (LLMs) to interact with web pages through Playwright and Chrome DevTools Protocol

Enables interaction with Databricks clusters, jobs, and notebooks via the Model Completion Protocol.

Automates SEO tasks and provides AI-powered optimization by integrating with the Google Ads Keyword Planner API.

Enables agent frameworks like Model Context Protocol (MCP) to integrate with Maton APIs through function calling.

Enables LLMs like Claude to interact with and automate web browsers via the Model Context Protocol.

Manages memory banks, enabling AI assistants to store and retrieve information across sessions for maintaining context.

Enables AI assistants to securely interact with a local file system for reading, writing, and managing files within a designated project directory.

Allows AI assistants to query movie and TV show collections managed by Radarr and Sonarr.

Fetches structured data from Hacker News, including top, new, ask, show, and job stories.

Enables AI agents to interact with Minecraft using the Model Context Protocol via Mineflayer.

Provides a command-line and API-based coding assistant utilizing OpenAI APIs, function calling, and streaming.

Enables AI agents to interact with PostgreSQL databases through a standardized Model Context Protocol (MCP).

Provides a Model Context Protocol (MCP) server implementation based on the Cephalon Cloud Flux model API.

Analyzes LinkedIn profiles by fetching, filtering, and managing post data, designed for integration with Claude AI.

Enables AI assistants to deeply understand .NET codebases through the Model Context Protocol.

Automates trading operations on the Zerodha platform using a natural language interface.

This community Workers MCP demo exposes image generation, page screenshots and image extraction through a local client adapter and Cloudflare backend.

Augment AI responses with context by retrieving and processing documentation through vector search.

Enhances a Model Context Protocol server with WebSocket functionality for real-time data updates.

Implements a minimalistic MCP server using a bash script for basic mathematical operations.

Integrates with the Notion API to manage personal to-do lists using the Model Context Protocol.

Guides tool usage by providing recommendations for MCP tools at each problem-solving stage.

Facilitates integration with Confluence and Jira by providing functionalities to execute queries and manage content.

Automates local development environment management using Large Language Models (LLMs).

Dynamically selects the most relevant tools for each query, providing access to unlimited LLM tools without context window limitations.

Supports multiple language implementations of the Votars MCP server for seamless integration with the Votars AI platform.

Enables AI models to understand and analyze codebases through natural language conversations.

Facilitates AI assistants in managing meeting data, including transcripts, recordings, and calendar events.

Integrates Flux's image generation capabilities into AI coding assistants, enabling image generation, manipulation, and control directly within IDEs.

Enables querying of AWS resources using boto3 code snippets via a Model Context Protocol (MCP) server.

Enables Claude to perform Google searches and extract webpage content through a controlled Chrome browser instance.

Executes command-line operations through the Model Context Protocol (MCP).

Automates browser interactions using Python scripts for tasks like screenshot capture, HTML retrieval, JavaScript execution, and console log

Manages `.clinerules` files through reusable components and persona templates with version tracking.

Enables AI agents to interact with the Solana blockchain and perform DeFi operations through a standardized interface.

Deploys a Model Context Protocol Server-Sent Events (SSE) deployment on Google Cloud Run with IAM authentication.

Exposes the entire Notion API as a collection of tools that Large Language Models (LLMs) can use to interact with Notion seamlessly.

Enables interaction with GitLab accounts to manage repositories, merge requests, CI/CD, and project settings.

Streamlines cybersecurity reconnaissance by providing access to Shodan and VirusTotal APIs through a Model Context Protocol interface.

Enables language models to access and query athlete activity data from the Strava API.

Enables interaction with Babashka, a Clojure interpreter, through the Model Context Protocol.

Provides audio feedback for code generation in Cursor by playing sound effects.

Enables AI assistants to interact with Gmail through natural language for comprehensive email management.