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MCP server that bridges Claude Code to Google Antigravity's CLI, enabling Claude to orchestrate Gemini workers in parallel for reading, writing, verifying, and autonomous tasks. It provides tools for single dispatch, parallel fan-out, background jobs, and handles permission, cwd, and shell pitfalls.

An MCP server that gives any MCP-compatible LLM client full control over a live JupyterLab instance.

Provides access to official Spanish fiscal data and tools based on AEAT and BOE sources, covering income tax, VAT, and regional deductions. It enables AI assistants to answer tax-related queries and verify filing deadlines using verified information.

One-command AI design studio for designers — Claude Code + skills + templates + dashboard. Live: jerickevans-gif.github.io/Pegasus

Provides production insights and code analysis by leveraging Nexus instrumentation data to identify CPU-intensive methods and visualize execution flow trees. It enables developers to make data-driven decisions through real-time performance metrics and automated service discovery from Java class names.

Enables reading, validating, comparing, and cleaning up Minecraft mod configuration files in .cfg, .toml, and .json formats.

An MCP server that enables AI assistants to list, retrieve, and create testimonials through the Senja API.

A TypeScript-based server that enables interaction with Jira, providing tools to execute JQL queries, manage tickets, list projects and statuses through natural language.

A simple cloud-hosted MCP server for verifying upstream MCP connectivity via Streamable HTTP, exposing a single tool that returns a fixed success message.

Provides advanced evaluation tools for assessing AI safety, alignment, and performance of LLM outputs. Enables programmatic evaluation of quality, safety metrics like toxicity and PII detection, and operational metrics including carbon footprint and cost estimation.

An MCP server for generating candy product images with white backgrounds and removing backgrounds to produce transparent WebP images, using OpenAI's image API and rembg.

A Model Context Protocol server that enables interaction with Linear workspaces to manage issues, projects, cycles, and teams through a GraphQL interface. It provides 21 tools for comprehensive task management, search, and workflow coordination using OAuth2 authentication.

The BigQuery Analysis MCP Server provides tools for safely executing SQL queries on Google BigQuery datasets. It offers two main capabilities: performing dry runs to validate queries and estimate their processing size, and executing validated queries with built-in safeguards that prevent data manipulation language (DML) statements and limit query size to 1 TB. The server uses application default credentials for authentication and returns query results in JSON format, making it ideal for data analysts and developers who need to perform controlled analytics operations on large datasets without risking costly or destructive operations.

Enables AI agents to interact with Microsoft 365 Outlook Mail, allowing email operations via natural language.

A Model Context Protocol server that provides basic calculator functionality for LLMs, enabling them to perform mathematical operations like addition, subtraction, multiplication, division, modulo, and square root.

A Model Context Protocol server that enables efficient management of GitHub issues in a Kanban board format, allowing LLMs to automate task management through GitHub integration.

Persistent markdown wiki for your AI agent, built on Karpathy's LLM wiki gist.

Enables searching and querying open government geospatial datasets from ArcGIS Hub, including feature service queries.

Enables querying City of South Bend open geospatial data (parcels, zoning, public works) via ArcGIS, with search, layer query, and schema inspection tools.

Caltrain MCP server provides real-time train schedule information for the Caltrain commuter rail system in California. Built with Python 3.13, it uses GTFS (General Transit Feed Specification) data to offer accurate departure and arrival times, station information, and trip planning capabilities. The implementation includes features for finding stations by name or abbreviation, calculating travel times between stations, and retrieving upcoming train schedules based on origin, destination, and time. Developed by David Yen, this server is particularly useful for applications requiring public transit information for the San Francisco Bay Area.