mcp-local-prompt-server
An MCP server that dynamically registers prompt templates from local files and serves them to clients with the assistant role.
README
mcp-local-prompt-server
An MCP server that dynamically registers prompt templates from local files and serves them to clients with the assistant role (not user).
Features
- File-based prompts — Drop
.txt,.md,.yaml,.yml, or.jsonfiles intoprompts/and they are registered automatically on startup - Clean naming — Filenames like
grammer_correction_agent.mdbecome prompt names like"grammer correction agent" - Assistant role delivery — Prompts are served with
role: "assistant", so clients treat the content as system-level guidance, not user input - Stdio transport — Connects via standard input/output, compatible with any MCP host
Example

The screenshot shows the MCP Inspector listing all 4 prompts after the server starts.
Prerequisites
- Node.js 18+
- npm
Installation
git clone git@github.com:engrtipusultan/mcp-local-prompt-server.git
cd mcp-local-prompt-server
npm install
Included prompts
| File | Prompt name | Description |
|---|---|---|
grammer_correction_agent.md |
grammer correction agent | Fixes English grammar errors with minimal changes, preserving the user's original style |
parapharasing_agent.md |
parapharasing agent | Paraphrases text with configurable tone (professional, casual, etc.) and length adjustments |
prompt_enhancement_agent.md |
prompt enhancement agent | Refines user inputs into structured, actionable prompts |
summerization_agent.md |
summerization agent | Summarizes and structurally maps long texts with metadata, TL;DR, and hierarchical outlines |
Adding more prompts
Create a file in the prompts/ directory:
prompts/
├── code_review_agent.md
├── sql_optimizer.txt
└── writing_feedback.yaml
Supported extensions: .txt, .md, .yaml, .yml, .json. Hyphens and underscores in filenames are converted to spaces for the prompt name. No code changes needed — prompts are registered automatically on the next server start.
Usage
Run
npm run dev
or
npm start
Both run the server directly via tsx — no build step needed.
Testing with MCP Inspector
npx @modelcontextprotocol/inspector npm run dev
This opens a web UI where you can browse registered prompts and invoke them interactively.
How it works
On startup, the server scans the prompts/ directory for supported files. Each file is registered as an MCP prompt using mcpServer.registerPrompt(). When a client requests a prompt, the server reads the file content and returns it as an assistant-role message.
┌─────────────────────────────────────┐
│ MCP Host (client) │
│ stdio transport │
└────────────┬────────────────────────┘
│ JSON-RPC
▼
┌─────────────────────────────────────┐
│ mcp-local-prompt-server │
│ │
│ ┌────────────────────────────────┐ │
│ │ prompts/ │ │
│ │ ├── grammer_correction.md │ │
│ │ ├── summarization_agent.md │ │
│ │ └── ... │ │
│ └────────────────────────────────┘ │
└─────────────────────────────────────┘
Scripts reference
| Script | Command | Description |
|---|---|---|
npm run dev |
tsx server.ts |
Run the server |
npm start |
tsx server.ts |
Run the server (alias) |
License
Apache 2.0
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.