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Electricity Maps MCP — real-time electricity-grid carbon intensity + power

MCP Server Data Wrangler provides a standardized interface for data preprocessing, transformation, and analysis tasks through the Model Context Protocol. Developed by shibuiwilliam, this server implementation leverages Polars dataframes to offer a suite of statistical analysis tools including descriptive statistics, data shape analysis, quantile calculations, and variance measurements. The server supports multiple file formats (CSV, TSV, Parquet) and exposes its functionality through well-defined tools that return structured JSON responses, making it ideal for AI assistants that need to perform data analysis operations without direct access to data processing libraries.

Provides access to the Rasmio API for searching and retrieving detailed information about Iranian companies and individuals. It enables users to look up registration details, addresses, and legal status using national IDs or general search queries.

This notes MCP implementation, developed by truaxki, provides a simple interface for reading and writing notes. Built with Python 3.10+, it leverages the MCP library for standardized communication. The project structure includes a .gitignore for version control and a pyproject.toml for dependency management, indicating a focus on maintainability. While the specific storage mechanism isn't evident, the implementation offers a straightforward approach to note management, making it suitable for AI assistants, personal productivity tools, or applications needing basic note-taking functionality. It's particularly useful for tasks like quick information capture, to-do list management, or integrating note-taking capabilities into larger workflows.

Federated MCP server that joins relational metadata (MySQL) with timeseries values (InfluxDB) behind a single, LLM-friendly entity layer.

Built with TypeScript and GraphQL, this server provides 22 specialized tools covering the full Xray workflow from creating manual, Cucumber, and generic test cases to managing test executions with status updates, organizing tests into plans and sets, and performing advanced JQL-based searches across all test artifacts. The implementation features robust authentication with token caching, error handling, and extensive unit test coverage with mocked HTTP interactions. It's designed for QA teams automating test management workflows, integrating test execution results into CI/CD pipelines, and building custom test reporting dashboards.

MCP server for ESA EVE (Earth Virtual Expert)

MCP server for the Waitlister API — manage waitlist subscribers through AI assistants.

MCP server for address derivation and encoding utilities across multiple blockchains via Crypto APIs

Spain CNMV Regulated Filings MCP — keyless, same-day-fresh.

MCP server for the Bring! shopping list API, enabling management of shopping lists via natural language.

Enables AI agents to interact with GitHub, providing tools to list and get repository details using a personal access token.

An MCP server that implements a heavily typed knowledge graph memory system with AI-powered entity and relation extraction, enabling structured knowledge storage and retrieval from unstructured text using predefined or custom ontologies.

Sovereign, MIT-licensed MCP server wrapping the FallPhysio US SDK, providing Ed25519 signed listings and machine-callable tools for autonomous agents.

Provides aggressive context compaction for Claude Code sessions through TOON-format structured snapshots. Saves web research, task results, flow analysis, decisions, conversations, and file reads with 30-60% compression beyond standard formats. Features intelligent auto-merging of similar compactions based on title similarity (>70% Jaccard), full-text search with inverted indexing, and local file-based storage in the .claude directory. Designed for developers working on long-running projects who need to preserve context across sessions while minimizing token usage.

This MCP implementation, developed by NanGePlus, provides a Python-based interface for interacting with Reddit's API using the PRAW library. Built with Docker for easy deployment, it offers a standardized way to access Reddit data and functionality through the Model Context Protocol. The server enables AI systems to perform operations like retrieving posts, comments, and user information, as well as posting content and managing subreddits. By abstracting Reddit's API complexities into MCP tools, this implementation facilitates use cases such as sentiment analysis, trend monitoring, content moderation, and automated community management on Reddit. It's particularly useful for developers building AI-powered Reddit bots, data analysis tools, or content aggregation systems.

Connects test and measurement instruments (oscilloscope, logic analyzer, multimeter, power supply) to AI via MCP, enabling natural language control and automated analysis.

MCP server for Chaos Intelligence to access Capture thoughts and Resonate posts from AI tools like Claude and Cursor.

Enables AI agents to access US FDA regulations (21 CFR) through natural language queries, providing tools for retrieving regulatory information.