"Write TypeScript Code to Work with Local LLM" matching MCP servers:

MCP server that lets Claude Code delegate mechanical tasks to a local LLM for summarization, classification, extraction, and drafting.

Enables AI assistants to read, search, and fully manage a Zotero library locally—organizing collections, editing items, uploading files, and managing notes, tags, and trash—through the local Zotero API without cloud sync.

Enables a cloud orchestrator to query a local Ollama model over Tailscale or a LAN as a side-channel for drafts, summaries, and other helper output, with tools to list available models and to redact text. Answers leaving the server are passed through output-only DLP that masks card numbers, IBANs, emails, phone numbers, API keys, and similar secrets before they reach the cloud.

Bridges local LLMs running in LM Studio with MCP clients like Claude Desktop to perform reasoning and analysis tasks while keeping sensitive data private. It features a suite of tools for local code review, privacy scanning, and content transformation using auto-discovered local models.

Sits between an AI agent and its MCP servers. Reads pass, writes are checked against your lists, and a read-only server refuses every write.

Enables read-write management of Microsoft Intune devices and group memberships via the Microsoft Graph API, including device property updates, remote actions, and group membership changes.

MCP server that provides AI assistants with real-time, current information about AI models from OpenAI, Anthropic, and Google, including pricing, capabilities, and context windows.

MCP server that provides a live coordination layer for AI agents, including attributable handoffs, a shared event ledger, atomic work-claiming, and advisory file leases to prevent collisions.

This MCP server enables MCP clients such as Claude Desktop to run LLM-generated code in a secure, isolated sandbox across multiple container backends and programming languages.

Share code context with LLMs via MCP or clipboard

A monorepo for learning the Model Context Protocol with TypeScript, featuring example MCP servers for weather data and tax calculation.

A feature-complete MCP server template in TypeScript demonstrating tools, resources, prompts, and both stdio and HTTP transports.

Enables cost-aware LLM routing over MCP with verification-based cascading, offering tools for routing queries, resuming escalated approvals, estimating costs, comparing policies, and explaining routing decisions, plus read-only resources and a policy-selection prompt.

An MCP server that offloads light LLM work from Claude to a model you control, such as a local LLM or any OpenAI-compatible provider, saving frontier-model quota on non-critical tasks.

Provides crystal structure generation, inspection, and export tools via MCP, supporting vacancy, interstitial, doping, solid-solution, surface, grain-boundary, interface, stacking-fault, and dislocation generators with deterministic outputs and optional Materials Project integration.

Enables submitting audio via URL or Base64 for local Whisper transcription, then checking job status and results or deleting transcription jobs. It provides asynchronous job handling and SSRF-protected downloads/callbacks without cloud API calls.

A read-only MCP server that lets team members access Simplified HR Work Journal entries and team reports through Claude, with permissions enforced by the existing Work Journal API.

Provides a testable gateway path for running a local MCP-style server in hosted-like conditions, with tenant-isolated reads, approval-denied writes, deterministic failures, and smoke-test verification.

MCP server for managing a project backlog as Markdown files in Git, enabling AI agents to read, create, and update tasks programmatically.

Converts AI Skills (following Claude Skills format) into MCP server resources, enabling LLM applications to discover, access, and utilize self-contained skill directories through the Model Context Protocol. Provides tools to list available skills, retrieve skill details and content, and read supporting files with security protections.