custom-mcps

<p align="center"> <img src="media/banner.png" alt="2" width="400"> </p>

<p align="center"> <b>Custom MCPs for a wide range of applications.</b><br> Write an integration once in <code>services/</code> and it ships three ways: a CLI, an MCP server (streamable HTTP at <code>/mcp</code>), and an HTTP API, all over one shared service registry. Gmail is the first. </p>

<p align="center"> <a href="#key-features">Key Features</a> • <a href="#architecture">Architecture</a> • <a href="#quick-start">Quick Start</a> • <a href="#cli-usage">CLI Usage</a> • <a href="#adding-commands">Adding Commands</a> • <a href="#configuration">Configuration</a> • <a href="manual_docs/deploy.md">Deploy</a> • <a href="#credits">Credits</a> </p>

<p align="center"> <a href="https://railway.com/deploy/gmailmcp"><img alt="Deploy on Railway" src="https://railway.com/button.svg" height="32"></a>   <a href="https://render.com/deploy?repo=https://github.com/Edison-Watch/Custom-MCPs"><img alt="Deploy to Render" src="https://render.com/images/deploy-to-render-button.svg" height="32"></a> </p>

<p align="center"> <img alt="Project Version" src="https://img.shields.io/badge/dynamic/toml?url=https%3A%2F%2Fraw.githubusercontent.com%2FEdison-Watch%2FCustom-MCPs%2Fmain%2Fpyproject.toml&query=%24.project.version&label=version&color=blue"> <img alt="Python Version" src="https://img.shields.io/badge/dynamic/toml?url=https%3A%2F%2Fraw.githubusercontent.com%2FEdison-Watch%2FCustom-MCPs%2Fmain%2Fpyproject.toml&query=%24.project['requires-python']&label=python&logo=python&color=blue"> <img alt="GitHub repo size" src="https://img.shields.io/github/repo-size/Edison-Watch/Custom-MCPs"> <img alt="GitHub Actions Workflow Status" src="https://img.shields.io/github/actions/workflow/status/Edison-Watch/Custom-MCPs/a_test_target_tests.yml?branch=main"> <a href="https://skills.sh/Edison-Watch/Custom-MCPs"><img alt="skills.sh" src="https://skills.sh/b/Edison-Watch/Custom-MCPs"></a>

</p>

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Agent Prompt

Copy and paste this into your AI coding agent (Claude Code, Cursor, Copilot, etc.) to install:

Install the CLI and download the gmail-mcp skill:

uv tool install custom-mcps

curl -fsSL https://raw.githubusercontent.com/Edison-Watch/Custom-MCPs/main/scripts/install-skills.sh -o install-skills.sh
bash install-skills.sh && rm install-skills.sh

The official gmail-mcp agent skill is self-published on skills.sh. Install it directly with:

npx skills add Edison-Watch/Custom-MCPs

The skill's source of truth lives in skills/gmail-mcp/SKILL.md; make sync-skills mirrors it to the landing page's /.well-known/agent-skills/ discovery tree (digest-pinned in index.json).

App Distribution

• MCP server with OAuth
• Claude and ChatGPT connectors
• APIs and SDKs
• Chat interfaces like iMessage and WhatsApp
• A dashboard that uses the same MCP layer
• Open source

Key Features

Feature	Stack
CLI (auto-discovery commands, global flags, shell completions, self-update)	Typer
MCP server (streamable HTTP at /mcp, services auto-registered as tools; stdio supported for local dev)	FastMCP
HTTP API server (also hosts /mcp)	FastAPI + Uvicorn
Auth	WorkOS + API keys
Payments	Stripe
Database + migrations	SQLAlchemy + Alembic
Config (YAML + .env)	Pydantic-settings
LLM inference + observability	DSPY + LiteLLM + LangFuse
Testing	pytest + TestTemplate
Lint / type / dead-code	Ruff + Vulture + ty + import-linter
Pre-commit (folder size, ai-writing, agent-config sync)	prek
Telemetry	Anonymous, opt-out

Architecture

One codebase, three interfaces. Write business logic once in services/ and it ships as a CLI subcommand, an MCP tool, and an HTTP route - same Pydantic input/output contract everywhere.

┌──────────────┐  ┌──────────────┐  ┌──────────────┐
│ src/cli/app  │  │ mcp_server/  │  │ api_server/  │   transport / interface
│  (Typer)     │  │ (FastMCP)    │  │ (FastAPI)    │
└──────┬───────┘  └──────┬───────┘  └──────┬───────┘
       │                 │                 │
       └─────────────────┼─────────────────┘
                         ▼
                 ┌───────────────┐
                 │  services/    │   pure @service functions
                 │  @service     │   (transport-agnostic)
                 └───────┬───────┘
                         ▼
                 ┌───────────────┐
                 │  models/      │   Pydantic I/O contracts
                 └───────┬───────┘
                         ▼
        ┌────────────┬───────┬────────────┬─────────────┐
        │ common/    │ db/   │ utils/llm/ │ src/utils/  │   shared infra
        │ (config)   │ (ORM) │ (DSPY)     │ (logs/theme)│
        └────────────┴───────┴────────────┴─────────────┘

MCP UI (optional)

Need elicitation, image output, or an iframe dashboard for an MCP tool? Add an opt-in enhancer in mcp_server/enhancers/. Enhancers wrap a service for the MCP transport only - the pure service stays untouched and CLI/API consumers are unaffected.

See mcp_server/MCP_UI_ARCHITECTURE.md for the full design.

Quick Start

uv sync                   # install deps
uv run edisonmcps --help       # see all CLI commands
uv run edisonmcps greet Alice  # run a command
uv run edisonmcps init my_command  # scaffold a new command

uv run edisonmcps-serve        # start the server (HTTP API + MCP at /mcp on one port)
uv run edisonmcps-mcp          # legacy: stdio MCP only, for local Claude Desktop / dev

Deploy

One-click deploy to Railway or Render (backend + managed Postgres, migrations run automatically). See deployment docs for the per-platform setup, the Railway template variable map, and OAuth/secret wiring.

CLI Usage

Global flags go before the subcommand:

Flag	Short	Description
--verbose	-v	Increase output verbosity
--quiet	-q	Suppress non-essential output
--debug		Show full tracebacks on error
--format	-f	Output format: table, json, plain
--dry-run		Preview actions without executing
--version	-V	Print version and exit

uv run edisonmcps --format json config show     # JSON output
uv run edisonmcps --dry-run greet Bob           # preview without executing
uv run edisonmcps --verbose greet Alice         # detailed output

Adding Commands

Drop a Python file in src/cli/commands/ and it is auto-discovered.

Single command - export a main() function:

# src/cli/commands/hello.py
from typing import Annotated
import typer

def main(name: Annotated[str, typer.Argument(help="Who to greet.")]) -> None:
    """Say hello."""
    typer.echo(f"Hello, {name}!")

uv run edisonmcps hello World   # Hello, World!

Subcommand group - export app = typer.Typer():

# src/cli/commands/db.py
import typer

app = typer.Typer()

@app.command()
def migrate() -> None:
    """Run migrations."""
    ...

uv run edisonmcps db migrate

Or scaffold with: uv run edisonmcps init my_command --desc "Does something".

Configuration

from common import global_config

# Access config values from common/global_config.yaml
global_config.example_parent.example_child

# Access secrets from .env
global_config.OPENAI_API_KEY

CLI config inspection:

uv run edisonmcps config show                           # full config
uv run edisonmcps config get llm_config.cache_enabled   # single value
uv run edisonmcps config set logging.verbose false      # write override

Full configuration docs

Credits

This software uses the following tools:

• Cursor: The AI Code Editor
• uv
• Typer: CLI framework
• Rich: Terminal formatting
• prek: Rust-based pre-commit framework
• DSPY: Pytorch for LLM Inference
• LangFuse: LLM Observability Tool

About the Core Contributors

<a href="https://github.com/Edison-Watch/Custom-MCPs/graphs/contributors"> <img src="https://contrib.rocks/image?repo=Edison-Watch/Custom-MCPs" /> </a>

Made with contrib.rocks.