LXAgents MCP Server

LXAgents MCP Server

Delivers the LXAgents shared agent instruction set via MCP prompts and resources. It includes read-only tools for setting up and checking agent instructions in repositories.

Category
Visit Server

README

mcp-server

The MCP server that delivers the LXAgents shared agent instruction set. A repository connects it as a connector and reads the conventions it needs — branching, commits, pull requests, task workflow, the creators, the directory architecture — instead of cloning or vendoring a copy of them.

  • Server id: lxagents-agents-base
  • Package: @lxagents/agents-base
  • Surface: MCP prompts and resources, plus four read-only tools for clients that only enumerate tools.

Key features

  • agents-setup prompt — the full setup procedure that builds a repository's AGENTS.md, .agents/ tree, wiki, and memory.
  • check-duplicate-agents-instruction prompt — finds instructions a repository duplicates from the shared set and removes them. Runs only when asked.
  • 25 instruction resources under agents://, plus agents://manifest.json listing every file with a content hash — one read instead of walking the set.
  • Four read-only toolsagents_setup, agents_check_duplicate_instructions, agents_list_instructions, agents_read_instruction — delivering the same content as the prompts, for clients that surface tools only.
  • Many clients at once. Content is loaded once into a frozen registry; each request or session gets its own server instance, so nothing is shared and any process can serve any request.

Quick start

npm install
npm test

# Local, over stdio
npm start

# Remote connector surface, over streamable HTTP
npm run start:http     # http://localhost:3000/mcp

With Docker:

docker compose up --build

Connect it

Add a custom connector pointing at https://<host>/mcp, named lxagents-agents-base. Include the /mcp path — without it the handshake fails, and clients report that as a sign-in error rather than a wrong address. For local development over stdio, see wiki/guides/connect-a-repository.md.

Documentation

Working with agents

The instruction set this server delivers is also the instruction set this repository follows. Start at AGENTS.md; the canonical content lives in content/.

License

MIT — see LICENSE.

Recommended Servers

playwright-mcp

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.

Official
Featured
TypeScript
Magic Component Platform (MCP)

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.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

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.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

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.

Official
Featured
TypeScript
Kagi MCP Server

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.

Official
Featured
Python
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Exa Search

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.

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured