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EX MCP Server

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EX_AI MCP Server

EX MCP Server

EX MCP Server is a Model Context Protocol (MCP) server that connects modern LLM providers and tools to MCP‑compatible clients (e.g., Claude Desktop/CLI). It provides a unified set of analysis, debugging, refactoring, documentation, testing, and project automation tools accessible over the MCP stdio protocol.

Key Capabilities

  • Unified MCP server exposing rich development tools:
    • analyze, codereview, debug, refactor, tracer, testgen, precommit, listmodels, version
  • Provider integrations:
    • KIMI (Moonshot), GLM (Zhipu), OpenRouter, and custom OpenAI‑compatible endpoints
  • MCP‑first architecture:
    • Subprocess stdio transport with direct config examples for Claude Desktop/CLI
  • Docker and local dev support:
    • Docker image build/publish, local virtualenv (.venv), and cross‑platform scripts

Installation

Prerequisites

  • Python 3.9+
  • Git
  • For local dev: virtualenv support
  • Optional: Docker and Docker Compose

Clone

git clone https://github.com/BeehiveInnovations/ex-mcp-server.git
cd ex-mcp-server

Setup (local)

python -m venv .venv
# Windows
.venv\\Scripts\\activate
# macOS/Linux
source .venv/bin/activate

pip install -r requirements.txt
pip install -r requirements-dev.txt

cp .env.example .env
# Set at least one provider key (KIMI_API_KEY, GLM_API_KEY, OPENROUTER_API_KEY, or CUSTOM_API_URL/CUSTOM_API_KEY)

Run (local)

python -m server   # or: python server.py

Configure a client (Claude Desktop/CLI)

Minimal example (stdio):

{
  "mcpServers": {
    "ex": {
      "type": "stdio",
      "trust": true,
      "command": "python",
      "args": ["-u", "scripts/mcp_server_wrapper.py"],
      "cwd": "/absolute/path/to/ex-mcp-server",
      "env": {
        "MCP_SERVER_NAME": "ex",
        "MCP_SERVER_ID": "ex-server",
        "PYTHONPATH": "/absolute/path/to/ex-mcp-server",
        "ENV_FILE": "/absolute/path/to/ex-mcp-server/.env"
      }
    }
  }
}

See the examples/ directory for more configs (macOS, WSL, desktop CLI variants).

Docker

Build and run locally:

docker build -t ex-mcp-server:latest .
docker run --rm -it ex-mcp-server:latest

A reverse proxy example is provided (nginx.conf) and a remote compose file (docker-compose.remote.yml) that exposes the server as ex-mcp.

Usage Overview

  • Use the version tool to verify install:
# In Claude Desktop config, call the version tool
  • Common tools:
    • analyze: smart file analysis
    • codereview: professional code review
    • debug: debugging assistant
    • refactor: code refactoring
    • tracer: static analysis / call chain aid
    • testgen: test generation
    • precommit: quick pre-commit validation
    • listmodels: show available models/providers

Provider‑native Web Browsing Schemas

  • Kimi (Moonshot): inject an OpenAI function tool named "web_search" with a string parameter "query".
  • GLM (Zhipu): enable tools = [{"type":"web_search","web_search":{}}] only when allowed by env.
  • Set these via env for production readiness:
    • KIMI_ENABLE_INTERNET_TOOL=true and KIMI_INTERNET_TOOL_SPEC to a valid JSON tool schema
    • GLM_ENABLE_WEB_BROWSING=true when appropriate (and other GLM browsing flags as documented)

Hidden Model Router (Auto Model Selection)

The server can auto-select a concrete model at the MCP boundary so users don’t need to specify one.

  • Enable: HIDDEN_MODEL_ROUTER_ENABLED=true
  • Sentinels: ROUTER_SENTINEL_MODELS=glm-4.5-flash,auto
  • Default: DEFAULT_MODEL=glm-4.5-flash (a sentinel)

Behavior:

  • If a tool requires a model and incoming model is a sentinel (or "auto"), the server resolves a concrete model.
  • Structured logs emitted by the server (logger name: "server"):
    • EVENT boundary_model_resolution_attempt input_model=... tool=... sentinel_match=... hidden_router=...
    • EVENT boundary_model_resolved input_model=... resolved_model=... tool=...

Notes:

  • The Consensus tool intentionally does not resolve models at the MCP boundary (requires_model = False). You will see the "attempt" log at the boundary, and per-step model selection happens inside the tool.

Tip: Use listmodels to see configured providers/models.

Agentic Audit with Real Models (EX‑AI)

Use a consensus-based, multi-model audit to find issues and get direct fixes.

  1. Set provider keys in .env:
  • KIMI_API_KEY=...
  • GLM_API_KEY=...
  1. Run the audit script:
python scripts/exai_agentic_audit.py --models glm-4.5-air kimi-k2-0905-preview

Or rely on env defaults (GLM_AUDIT_MODEL, KIMI_AUDIT_MODEL) and just:

python scripts/exai_agentic_audit.py

The script returns JSON:

{
  "issues": [ { "title": str, "evidence": str, "direct_fix": str }... ],
  "summary": str
}
  1. Interpreting results:
  • Each issue has “direct_fix” with exactly what to change and where.
  • Re-run after fixes to validate improvements.

Tests: End-to-end (no real keys required)

We include an “ultimate” test file designed for EX‑AI‑style validation:

  • tests/test_e2e_exai_ultimate.py
  • Each assert prints a Direct Fix if it fails.
  • Run: python -m pytest -q tests/test_e2e_exai_ultimate.py

CI/Test Hygiene (EX fork)

This fork disables some upstream providers by design. If you run the full test suite, import errors may occur for those optional providers.See docs/ci-test-notes.md for ways to skip/guard those tests in CI.

Configuration

  • Environment file: .env (see .env.example for available variables)
  • Key variables:
    • DEFAULT_MODEL, LOCALE, MAX_MCP_OUTPUT_TOKENS
    • Provider keys: KIMI_API_KEY, GLM_API_KEY, OPENROUTER_API_KEY
    • Custom API: CUSTOM_API_URL, CUSTOM_API_KEY
  • Logging: logs/ directory (Docker and local scripts manage ownership/paths)

Attribution

This project is based on the original work at:

Our EX‑specific Changes (Zen → EX)

  • Rebranding:
    • Service name: zen-mcp → ex-mcp
    • Non-root user: zenuser → exuser (Dockerfile, file ownership)
    • Virtual environment: .zen_venv → .venv
    • Branding strings: “Zen MCP Server” → “EX MCP Server”
  • Examples/configs:
    • Server IDs: "zen" → "ex"
    • Commands: zen-mcp-server → ex-mcp-server
    • Paths updated to ex-mcp-server
  • CI/workflows & templates:
    • GitHub discussions/links point to ex-mcp-server
    • GHCR image names: ghcr.io//ex-mcp-server:...
  • Architecture intent:
    • MCP-first stdio transport, reverse proxy alignment, and consistent service naming

Contributing

Please see CONTRIBUTING.md for development workflow, coding standards, and testing.

License

See the LICENSE file in this repository.

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