crdb-mcpctl 0.1.0

CLI for interacting with a CRDB-backed Model Context Protocol server

crdb-mcpctl

A developer-friendly, model-provider-agnostic CLI tool for working with Model Context Protocol servers — built specifically for use with CockroachDB backends.

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🧠 What This Is

crdb-mcpctl is a spec-aligned, CLI-first interface for creating, managing, exporting, and running Model Context Protocol resources.

It works with crdb-mcp-server, a FastAPI-based MCP implementation backed by CockroachDB. Together, they offer:

• A reliable MCP context registry (server)
• A CLI for simulation, LLM runs, and batch workflows (client)

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✅ Feature Highlights

• 🌱 MCP-spec-compliant context management (create, list, get, delete)
• 📦 Export individual or all contexts to YAML or JSON
• 🔁 Run contexts against real LLMs (OpenAI, Anthropic, etc.)
• 💬 Supports streaming, retry, model override
• 📚 Batch simulation of inputs
• ⚙️ Reads config from ~/.config/crdb-mcpctl/config.yaml or env vars
• 🧱 Extensible provider system (Claude, GPT-4, Mistral, etc.)
• 📈 Configurable logging per command (--log-level)

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🚀 Quickstart

📦 Install from PyPI

pip install crdb-mcpctl

🛠 Or install from source

git clone https://github.com/viragtripathi/crdb-mcpctl
cd crdb-mcpctl
pip install -e .

You’ll also need a running instance of crdb-mcp-server

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🔐 Configuration Options

✅ Environment Variables (preferred for CI and scripting)

Variable	Description
MCP_SERVER_URL	Base URL for the MCP server
MCP_API_TOKEN	Bearer token for protected endpoints
OPENAI_API_KEY	API key for OpenAI LLMs
ANTHROPIC_API_KEY	API key for Anthropic Claude LLMs

export MCP_SERVER_URL=http://localhost:8081
export OPENAI_API_KEY=sk-...

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🗂 ~/.config/crdb-mcpctl/config.yaml (alternative for local/dev)

server: http://localhost:8081

openai:
  api_key: sk-...

anthropic:
  api_key: your-anthropic-key

✅ Env vars take precedence over config file.

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🧪 CLI Commands

# Show version and top-level help
crdb-mcpctl --version
crdb-mcpctl --help

# Create a context
crdb-mcpctl create context --file summarizer.yaml

# List all contexts
crdb-mcpctl list contexts

# Get or delete a context
crdb-mcpctl get context <uuid>
crdb-mcpctl delete context <uuid> -y

# Export one or all
crdb-mcpctl export context <uuid> --file out.yaml
crdb-mcpctl export all --output-dir exported_contexts/

# Run a single input
crdb-mcpctl run context --provider openai --file context.yaml --input "Summarize this article"

# Simulate a batch of inputs
crdb-mcpctl simulate context \
  --provider anthropic \
  --file summarizer.yaml \
  --inputs inputs.txt

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🧰 Logging

Enable structured logging with:

crdb-mcpctl create context --file ctx.yaml --log-level DEBUG

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♻️ Retry Logic

All network operations (GET, POST, DELETE) retry up to 3 times with 2s backoff using tenacity.

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💡 Error Feedback Example

On connection failure:

❌ Failed to connect to MCP server at http://localhost:8081

🔧 Is the server running? Start it with:
  crdb-mcp-server serve --init-schema

🌍 To override the server URL:
  --server http://localhost:8081
  OR
  export MCP_SERVER_URL=http://localhost:8081

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🙌 Contributions

This project is open for internal and public usage.

If you want to support additional providers, improve UX, or standardize context specs, contributions are welcome.