#local

HyperChat is a Chat client that strives for openness, utilizing APIs from various LLMs to achieve the best Chat experience, as well as implementing productivity tools through the MCP protocol.

Web and local search using Brave's Search API

An mcp server designed for local-deployed deep research.

Mirror of

local mcp server perplexity

MCP server for Roll Docker Stack and multi-framework development environments.

A template repository that includes a dev container for running a local LLM and included knowledge base. Add a git repo using `git subtree` or `git submodule` and update it using an MCP Client/Server relationship i.e. `VS Code` extension like `Cline` and the `Filesystem`/`Obsidian-MCP` MCP server.

MCP server for scanning local code and localhost URLs

A MCP server which loads the man pages of tools in $PATH as resource. The goal is to provide the LLM with context of the commands on the host machine

Claude Desktop MCP Server - Local desktop AI agent with file access and notifications

Servidor para acessar e manipular arquivos locais usando MCP

MCP server for using the AdsPower LocalAPI

An ollama interface which provides models with MCPs

(Demo) MCP Server to create and draw .vox models file locally

MCP Proxy to Expose Local MCP Server

Local LLM Server with NPU Acceleration

ローカルMCPサーバー（stdio）を作成するためのチュートリアルです。

An MCP tool that provides AI with the ability to compress and decompress local files.

This is a sample local MCP server.

This repo has my learnings on how to create an MCP-Server

mcp server for personal use

Lightweight MCP client that uses a local Ollama LLM to query multiple MCP servers defined in config.json

A local memory engine for AI agents. Stores conversation episodes, consolidates knowledge through a neuroscience-inspired lifecycle, and builds a personal knowledge graph with emergent categories, preferences, and semantic recall. Local SQLite, zero config, 10 MCP tools.

Local text-to-speech MCP server with dual engines (macOS Say + Kokoro TTS) for Claude Desktop

Local MCP Client is a cross-platform web and API interface for interacting with configurable MCP servers using natural language, powered by Ollama and any local LLM of choice, enabling structured tool execution and dynamic agent behavior.

Self-hosted MCP Japanese text indexing & search—chunking+embeddings with BM25×vector rerank

MCP for Ansible, Terraform, LocalStack, and other IaC tools. Create and iterate IaC in LocalStack until ready to deploy live.

AI-powered localization platform. Translate text, search translation memory, and access style guides from any MCP-compatible AI tool.

The Greetwell MCP server lets you search for activities by location, date, and interest, then drill into details like duration, meeting point, cancellation policy, and real-time availability. It can also recommend complementary experiences to help you build a full itinerary — and when you're ready, it provides direct booking links so you can reserve on the spot.

CLI tool to scaffold, run, and test MCP servers locally with Node.js or Python, integrated with Claude and OpenAI key injection and auto-link to Claude Desktop.

Strata is a self hosted AI memory server. Your AI remembers everything across every session, on your own hardware. Key features: . Semantic search (find memories by meaning, not keywords) . Per-agent API keys with granular permissions . 3D constellation viewer with live agent activity . File vault (attach real documents to memories) . CSV audit log (full transparency on every agent action) . Pre-Strata history import (your memory doesn't start at install day) . Global MCP kill switch (emergency brake, only a human can undo) . Automatic deduplication . 10 structured thought types . Backend using PostgreSQL . Runs on a Raspberry Pi Always on, always local, always yours.

Expose localhost to AI agents with one tool call. Zero-config tunnels with waitForTunnel() — agents get a live URL the moment your server is ready. Works with Claude Code, Cursor, Cline, and any MCP client.

Persistent codebase intelligence that gives agents memory across sessions.

The official Model Context Protocol (MCP) server for https://zhook.dev, enabling AI agents to interact with your Zhook webhooks, events, and metrics. Create Hooks: Create new webhooks or MQTT hooks directly from your agent. List Hooks: Retrieve a list of your configured webhooks. Inspect Events: View recent events for a specific hook. Wait for Event: Pause execution and wait for a specific event to occur. Metrics: Access detailed metrics about your webhook performance.