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Personal MCP Server is a local AI context backend that connects your real engineering footprint to any MCP-compatible assistant. It turns static profile statements into live, queryable data from your portfolio, GitHub, deployed contracts, and social channels.

Linear MCP Server provides a bridge to the Linear project management platform, enabling AI assistants to interact with team tasks, issue tracking, and workflow management. Built with TypeScript, it exposes tools for creating, updating, and retrieving tasks across different teams, with robust API key resolution and comprehensive error handling. Particularly useful for teams wanting to automate task creation, track project progress, or integrate project management workflows directly through conversational interfaces.

An MCP server that makes Perplexity's Sonar Deep Research usable from MCP clients that enforce a request timeout by using Perplexity's async API.

Enables AI-powered video-to-audio and text-to-audio generation using MMAudio's API. Create synchronized audio from video content or generate audio from text descriptions with configurable parameters.

Enables PDF and image generation from templates, JSON, HTML, or URLs through the PDF Gen Studio API. Supports rendering, template management, and multiple output formats.

An MCP server that exposes the Leela Chess Zero neural-network chess engine to MCP clients, enabling position analysis, best move calculation, and board manipulation.

This DevDocs MCP implementation, developed by llmian-space, provides a Python-based interface for AI assistants to interact with software documentation. Built using libraries like Pydantic, Hypothesis, and Trio, it offers tools for processing, indexing, and retrieving documentation from various sources. The implementation focuses on efficient documentation handling, version management, and content transformation, making it easier for AI models to access and utilize technical documentation. It's particularly useful for enhancing AI capabilities in software development workflows, enabling tasks like code assistance, API exploration, or technical writing support without requiring deep knowledge of specific documentation formats or structures.

Enables interaction with Buildkite CI/CD to list organizations, pipelines, builds, jobs, and logs, as well as retry jobs.

A Model Context Protocol (MCP) server that exposes the entire Chatram e-commerce backend as structured AI tools — powering the AI Shopping Assistant widget built into the storefront.

Connects Claude AI to Google Sheets for automated revenue tracking, lead management, and business operations, with Gmail and calendar integration.

btcOracle MCP Server — Bitcoin intelligence for AI agents

This MCP server enables Claude to query Tailscale status by running the Tailscale CLI on macOS. Developed as a small, focused implementation, it parses JSON output from Tailscale commands to provide structured data about connected devices, including IP addresses, hostnames, online status, and traffic statistics. The server exposes two main functions: getting overall Tailscale network status and retrieving detailed information for specific devices. Built with Python using FastMCP, it's particularly useful for monitoring and managing Tailscale VPN networks programmatically or through natural language interactions with Claude.

Computer Use is an MCP server that provides computer use automation capabilities across Linux (X11) and Windows platforms. It exposes tools for taking screenshots, controlling the mouse, and simulating keyboard input, enabling AI assistants to interact with desktop environments programmatically. Supports both X11-based Linux systems and native Windows automation.

MCP server that checks if today is a good day to deploy using the shouldideploy.today API, with timezone support.

Enables AI agents to check IP reputation and abuse reports via AbuseIPDB, including abuse confidence scores, report details, and bulk IP triage.

An MCP server exposing local embedding tools - semantic search, comparison, clustering and zero-shot classification - so an agent can call them in a loop without an API round trip. Caching the embeddings took a search from 1040ms to 1.2ms. PyTorch, sentence-transformers, MCP Python SDK v2.

Enables AI agents to control the klo macOS video editor locally, providing 83 tools for timeline editing, captions, color grading, and export while keeping media on-device.

Enables users to get current weather information for any city using the Open-Meteo API. Provides detailed meteorological data including temperature, precipitation, day/night status, and hourly forecasts through natural language queries.

An MCP server for querying and analyzing Apache Incubator podling health reports. It provides tools to list, search, and compare podling metrics across different time windows from Apache's health report Markdown files.

MCP server exposing pure mathematical operations (sum, subtraction, multiplication, division) as tools, with a clean layered architecture and optional OpenAI Agents SDK integration.