"A search engine focused on privacy and minimal tracking" matching MCP servers:

Provides instant GDScript syntax validation and diagnostics by bridging Godot's native Language Server Protocol to MCP clients. Enables real-time syntax checking in AI assistants without requiring custom plugins or context switching to the Godot editor.

Enables supervised creation of tracking stack resources—WhatConverts accounts/profiles, GA4 properties, and GTM containers—with dry-run-by-default writes, duplicate-name refusal, rate limiting, and an append-only action log.

Minimal MCP server for Jira with configurable tools to reduce token usage, starting from ~150 tokens for basic issue retrieval.

Enables natural language time tracking through Claude with markdown file storage. Supports multi-company tracking, flexible time parsing, auto-calculated summaries, and commitment warnings all through conversational input.

Enables users to ask directly within a Claude Code or Codex chat how much energy and CO2eq their current session or entire project has consumed, estimated locally from session logs with no telemetry or network calls. It also reports everyday-activity equivalents such as kettle boils or washing machine cycles for the resulting figures.

A minimal MCP server implementation designed for learning how to integrate tools like echo, time retrieval, and Japanese Wikipedia search with Claude Desktop. It serves as a foundational template for developing custom server capabilities using the TypeScript MCP SDK.

A minimal MCP server that demonstrates tool usage with rectangle area calculation and history retrieval.

A basic educational MCP server that provides simple tools for mathematical calculations, text manipulation, and time retrieval. Designed for learning MCP implementation patterns and development purposes.

Eyes for AI coding agents: deterministic MCP server that tells the LLM which CSS rule wins, in which file, on which line — and why. Cascade verdicts, blast radius, interaction timelines, pixel-perfect audits.

A production-ready MCP server for Google Tag Manager, GA4 Measurement Protocol, DataLayer schema validation, Meta CAPI auditing, and tracking code snippet generation.

Enables AI assistants to search and retrieve detailed documentation for Tracktion Engine classes and APIs.

MCP server (stdio, official Python SDK) exposing a single tool: quantity_execute. Performs dimensional calculation and unit conversion with evidence. Solves silent unit errors in LLM agent chains: 20 m/s × 3 h returns 216 km.

Enables programming agents to capture errors and conversation signals, reflect on root causes, consolidate reusable skills, and retrieve relevant context for future tasks, providing a self-learning memory loop.

A template for deploying an MCP server on Vercel, with example tools like roll_dice and get_weather.

A local code-intelligence engine for AI agents that indexes repositories into a PostgreSQL-backed code graph and serves structured, token-budgeted context over MCP and HTTP, enabling targeted queries on symbols, dependencies, contracts, and impact analysis.

A humorous MCP server that always advises against shipping on Friday, returning a catastrophic risk level and a rotating reason.

MCP server deployed on EdgeOne Pages, providing a Streamable HTTP MCP server for intelligent chat applications with tool capabilities like generating webpages.

A comprehensive Model Context Protocol (MCP) server implementing the latest MCP specification with tools, resources, prompts, and enhanced sampling capabilities that features HackerNews and GitHub API integrations for AI-powered analysis.

Relays a result screenshot to Slack so you can review a coding agent's output without opening the app.

A minimal MCP server that demonstrates the entire protocol using a simple in-memory todo list, including tools, resources, prompts, and elicitation.