Advertise
MCP.so
Sign In

Enterprise MCP Server & Client

@sanjay-si

Repository

Basic information

Category

Other

Transports

stdio

Author

sanjay-si

About Enterprise MCP Server & Client

MCP Client & Server

#enterprise-mcp#model-context-protocol#llm-integration

Enterprise MCP Server & Client config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "enterprise_mcp": {
      "command": "python",
      "args": [
        "-m",
        "src.mcp_server.main"
      ]
    }
  }
}

Enterprise MCP Server & Client tools

Tool list not available yet

This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

What is Enterprise Model Context Protocol (MCP) Server & Client?

A comprehensive enterprise-grade implementation of the Model Context Protocol (MCP) for connecting LLMs with enterprise tools and data sources. It is cost-optimized for production, allows zero-cost testing without any LLM API keys, and supports either OpenAI GPT or Anthropic Claude with a single API key.

How to use Enterprise Model Context Protocol (MCP) Server & Client?

Clone the repository, then start all services with Docker Compose or manually install server and client components. Set environment variables (choose one LLM API key or none for zero-cost testing) and run the server (e.g., python -m src.mcp_server.main) and client (e.g., python examples/demo.py or python examples/demo_no_llm.py). Connect the client to the server via WebSocket and use the provided Python examples to invoke enterprise tools.

Key features of Enterprise Model Context Protocol (MCP) Server & Client

  • Full JSON‑RPC 2.0 MCP specification compliance
  • Enterprise tools: database queries, file operations, API integrations
  • JWT authentication and role‑based access control
  • Prometheus metrics and structured logging
  • Multi‑LLM support (OpenAI GPT, Anthropic Claude)
  • Async/await architecture and robust error handling
  • Zero‑cost testing mode with no API keys required
  • Optimized models (gpt‑4o‑mini, claude‑3.5‑haiku) for 97% cost savings

Use cases of Enterprise Model Context Protocol (MCP) Server & Client

  • Query an enterprise database and generate a report file via one LLM request
  • Perform sandboxed file system operations (read, write, create) through MCP tools
  • Make authenticated HTTP requests to external enterprise APIs
  • Enable secure, monitored access to enterprise data for AI assistants

Frequently asked questions

1

What runtime dependencies are required?

Python 3.11+ is required. PostgreSQL and Redis are optional – only needed for enterprise database features and caching/session management, respectively.

2

Can I test the system without any LLM API keys?

Yes. The implementation supports zero‑cost testing that works without any LLM API keys. You can run `python examples/demo_no_llm.py` to try enterprise tools without connecting to an LLM.

3

How do I configure authentication and security?

Set `JWT_SECRET_KEY`, `JWT_ALGORITHM`, and `JWT_EXPIRATION_HOURS` in your environment. The server enforces JWT authentication and role‑based access control, with SQL injection protection and sandboxed file access.

4

What transport does the MCP server use?

The server communicates over WebSocket. The client connects to `ws://localhost:8000/mcp` by default. HTTPS/WSS is supported for encrypted communications.

5

What monitoring is available?

Prometheus metrics are exposed at `GET /metrics`, including request counts, request duration, active connections, and tool execution statistics. A basic health check endpoint is also provided at `GET /health`.

Comments

More Other MCP servers

DeepMark

DeepMark helps teachers deliver rapid, consistent marking with meaningful feedback for every student — in a fraction of the time. What once took a week, now takes one free period.

Blender

ahujasid

Open-source MCP to use Blender with any LLM

23.6K

Glasswarp

Glasswarp

See and control a real Windows PC you own — from any MCP client, locally or remotely. Observe (UIA + screenshots), click/type/drag/scroll, launch apps, owner Live View. BYOH: your machine, your key.

Volley.sh

Volley

A good sequence diagram can solve almost any communication problem in engineering. Volley lets your agent write them as plain text, with the real request and response payloads on every arrow. It checks its own syntax wi

EverArt

modelcontextprotocol

Model Context Protocol Servers

88.1K
Advertise