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Assembles a provenance-labelled incident timeline from git, logs and deploy evidence — offline by default, with an MCP server front door.

Work-state engine over SQLite — one query layer, CLI for humans, MCP server for agents

Enables interaction with Linear's API for managing issues, teams, and projects programmatically through the Model Context Protocol.

This MCP server, developed by tanigami, provides seamless integration with the Perplexity API for AI assistants. Built for use with Claude Desktop, it offers a tool for requesting chat completions with citations from Perplexity. The server bridges Claude's capabilities with Perplexity's advanced language models and real-time information retrieval, enabling more up-to-date and factual responses. Key features include citation support and easy configuration through Claude Desktop settings. By leveraging Perplexity's strengths in current events and factual queries, this implementation enhances AI capabilities for tasks requiring recent information or verified sources. It is particularly useful for scenarios like research assistance, fact-checking, or generating responses with reliable citations.

Enables monitoring competitor websites for price drops, new products, promotions, and content changes directly from Claude or any MCP-compatible AI client.

ghidraMCP is an MCP server that allows LLMs to autonomously reverse engineer applications by exposing core Ghidra functionality as tools for MCP clients.

Consulta o cadastro de profissionais no Conselho Federal de Medicina Veterinária (CFMV) em fonte oficial, permitindo verificar registros de médicos-veterinários e zootecnistas via linguagem natural.

CDP browser control at localhost:9222.

Enables AI assistants to save and search bookmarks with semantic search using OpenAI, allowing storage of URLs with metadata and intelligent retrieval across collections.

Enables AI models to generate high-quality voice messages from text using the Piper TTS engine, with automatic model management and audio streaming.

MCP-FREDAPI provides a bridge to the Federal Reserve Economic Data (FRED) API, enabling AI assistants to retrieve economic data series observations with customizable parameters. Built with Python using FastMCP, this implementation by Jon Aldekoa allows querying time series data with options for date ranges, frequency aggregation, data transformations, and output formatting. The server handles API key management through environment variables and offers robust error handling for failed requests. It's particularly useful for economic analysis, financial research, and data visualization applications that require access to official U.S. economic indicators and historical data.

MCP server for the Level v2 REST API, enabling management of alerts, automations, devices, groups, tags, updates, and custom fields through typed tools.

Enables safe, read-only interaction with Redis databases via cursor-based tools for retrieving keys, hashes, lists, sets, and sorted sets, backed by ACL DRYRUN-verified privilege checks.

Fetches real-time official documentation for LangChain, LlamaIndex, and OpenAI to provide Claude with up-to-date API references and guides for accurate code generation.

MCP server that lets Claude Code interact with Obsidian Vaults — Read, Edit, Write, Glob, Grep, LS via the official Obsidian CLI

Feature-complete Spotify MCP server generated from the OpenAPI specification

MCP for Omnifocus

An MCP (Model Context Protocol) server that exposes the Vincario API to AI agents and LLM clients. Enables AI assistants to decode VINs, check stolen vehicle databases, and retrieve market valuations through natural language.

Enables AI agents to explore and analyze a markdown vault as a traversable knowledge graph, with tools for searching, traversing, and finding implicit semantic connections between notes.

A bridge that enables Large Language Models to read from and write to Firebase Firestore collections through Model Context Protocol (MCP) tools.