Revenium MCP Server

    

Revenium MCP Server

Connect AI agents to Revenium for cost tracking, alerting, and usage-based billing

Once you've connected your AI applications to Revenium using any of the supported middleware libraries or via direct API integration, this MCP server allows agents to directly interact with your Revenium account. Connect Claude, OpenAI, or any MCP-compatible AI assistant to Revenium to configure AI cost alerts & tracking as well as usage-based billing for AI products.

Features

AI Cost Tracking & Alerting - Never Be Surprised by Unexpected AI Costs Again

• Ask AI agents to set up AI cost alerts to avoid unexpected costs
• Ask AI agents to track their own costs with Revenium as they carry out actions within your application
• Ask Revenium to calculate AI cost & usage trends over time and set up alerts to immediately send slack or email notifications when anomalies occur
• Quickly investigate the reasons for AI cost spikes. Identify abnormal changes in spending by agent, API key, product, customer, and more.
• Use AI agents to integrate Revenium metering into your applications if not using Revenium's pre-built SDKs

Outcomes for AI - Track AI Agent Job ROI

• Track AI agent job execution, measure ROI, and report outcomes
• Analyze conversion funnels from job initiation through outcome delivery
• Report business outcomes tied to specific AI agent jobs

Tool Registry - Register & Price Your AI Tools

• Register, manage, and analyze AI tools with built-in pricing tiers
• Support for multiple pricing models: per-call, per-token, tiered, flat, and subscription
• Track tool usage events and analyze cost, latency, and success rates

Usage-based Billing & Chargebacks (Optional)

If or when you're ready to turn AI costs into AI revenue, the Revenium MCP will be there to help quickly make the transition.

• Ask your agent to manage all elements of usage-based billing & cost chargebacks
• Use agents to manage products, customers, subscriptions, and subscriber credentials

Profile-Based Tool Selection

The MCP provides the appropriate tools for each use case depending on your chosen startup profile:

• Starter Profile (7 tools): Cost monitoring, alerts, analytics, AI metering integration
• Business Profile (20 tools): All Starter tools plus product management, customer management, subscriptions, billing, tool registry, AI insights, AI agents and cost controls

Getting Started

Connect to the Hosted Server (Recommended — Nothing to Install)

Revenium hosts the MCP server at https://mcp.revenium.ai/mcp. Authentication is an OAuth sign-in in your browser — no API key to copy and no local process to manage.

Claude Code: ``bash claude mcp add --transport http revenium https://mcp.revenium.ai/mcp ` Then run /mcp` inside Claude Code and choose Authenticate to complete the browser sign-in.

claude.ai (web & desktop): Settings → Connectors → Add custom connector → paste https://mcp.revenium.ai/mcp.

Cursor and other MCP clients with remote-server support: ``json { "mcpServers": { "revenium": { "url": "https://mcp.revenium.ai/mcp" } } } ` Some clients declare the transport explicitly — if yours does, set its type/transport field to HTTP (for example "type": "http"` in VS Code).

Clients that only speak stdio can bridge with mcp-remote: ``bash npx mcp-remote https://mcp.revenium.ai/mcp ``

Prefer to run the server yourself? Use any of the local options below.

For Claude Code Users (Local Install)

1. Install uv:

   pip install uv

1. Add to Claude Code:

   claude mcp add revenium \
     -e REVENIUM_API_KEY=hak_your_api_key_here \
     -- uvx revenium-mcp

Done! Claude Code will manage the configuration.

For Local Development/Testing

1. Install uv:

   pip install uv

1. Create .env file:

   cat > .env << EOF
   REVENIUM_API_KEY=hak_your_api_key_here
   TOOL_PROFILE=starter
   EOF

1. Run the server:

   uvx revenium-mcp

See Installation for Cursor, Augment, and other integrations.

For Containerized Deployment

Build and run the MCP server in a container. Useful for hosted HTTP deployments and CI integration. Clone this repository first, then from the repo root:

docker build -t revenium-mcp .
docker run -d --name revenium-mcp \
  -p 8000:8000 \
  -e AUTH_MODE=api_key \
  -e REVENIUM_BASE_URL=https://api.revenium.ai \
  -e MCP_SERVER_BASE_URL=https://mcp.your-domain.com \
  revenium-mcp

In api_key mode there is no server-wide REVENIUM_API_KEY — each caller authenticates with their own Revenium key (rev_sk_ write or rev_rk_ read), sent as an Authorization: Bearer header and validated per request against the platform.

Defaults baked into the image:

• TRANSPORT_MODE=http (stdio doesn't make sense in a container)
• MCP_HOST=0.0.0.0 (binds all interfaces inside the container)
• MCP_PORT=8000

The container runs as a non-root user (mcp, UID 1000). Health probes:

• GET /health — liveness, always returns 200 (no external calls)
• GET /ready — readiness, returns 200 when the Revenium API is reachable with the configured key (503 otherwise)

For Full HTTPS Stack via docker compose

Local multi-tenant deployment with Caddy doing TLS termination.

cp .env.example .env
# Edit .env — set AUTH_MODE=api_key, REVENIUM_BASE_URL=https://api.revenium.ai,
# and MCP_SERVER_BASE_URL=https://localhost:8443
docker compose up --build

Endpoints:

• https://localhost:8443/mcp — the MCP protocol endpoint
• https://localhost:8443/health — liveness, no auth
• https://localhost:8443/ready — readiness, no auth

First-time TLS: Caddy generates a self-signed cert via its internal CA. Browsers will warn "untrusted certificate". The cert is cryptographically valid — accept the warning for local dev. If you need the cert trusted system-wide, extract the root CA from the caddy_data volume and add it to your OS trust store using the OS-specific procedure (out of scope for this README).

The cert persists in the caddy_data volume between runs.

To stop: ``bash docker compose down ``

To wipe state (including the cert): ``bash docker compose down -v ``

Connecting a client to the local compose stack

Once the compose stack is running, point any MCP client that supports remote HTTP servers at the endpoint and send your Revenium key as a bearer token (for a hosted deployment, replace https://localhost:8443 with your server's public URL):

{
  "mcpServers": {
    "revenium": {
      "url": "https://localhost:8443/mcp",
      "headers": {
        "Authorization": "Bearer rev_sk_your_key_here"
      }
    }
  }
}

Clients that only speak stdio can use the mcp-remote shim.

TLS note for Node-based clients (including mcp-remote): Caddy signs localhost with its internal CA, which Node.js does not trust by default. Export the root CA from the caddy_data volume and pass it via NODE_EXTRA_CA_CERTS=/path/to/caddy-root.crt, or — for a quick local-only workaround, never in production — set NODE_TLS_REJECT_UNAUTHORIZED=0. See the "First-time TLS" note above for the browser equivalent.

MCP Specification

Implements Model Context Protocol version 2025-06-18.

• Framework: FastMCP (pinned to fastmcp==3.2.0)
• Transport: stdio (default) and HTTP (set TRANSPORT_MODE=http)
• Protocol: JSON-RPC 2.0

Requirements

Prerequisites

• Python 3.11+ with pip
• Your Revenium API key (get one at ai.revenium.io)
• Optional: uv/uvx for easier installation

System Requirements

• Operating System: macOS, Linux, Windows (with WSL)
• Network: Internet connection for API communication
• MCP Client: Claude Code, Cursor, Augment IDE, or any MCP-compatible client

What Gets Tracked

When you use this MCP server, the following data flows between your AI assistant and Revenium:

Data Sent to Revenium

• API requests for cost analytics and queries
• Alert configuration requests (thresholds, notifications)
• Customer/product management operations (when using Business profile)
• Transaction lookup queries

Data Retrieved from Revenium

• AI usage metrics and costs (grouped by provider, model, customer, etc.)
• Alert status and notification configurations
• Product/subscription information (Business profile)
• Analytics data and cost trends
• Anomaly detection results

Data NOT Collected

• ❌ Your AI assistant's conversations or prompts
• ❌ Prompt content (unless you explicitly submit transactions for metering)
• ❌ Personal data beyond what you configure in Revenium
• ❌ File contents or local data

Privacy & Security

• All communication uses your Revenium API key for authentication
• Data is transmitted securely over HTTPS
• API keys are never logged or exposed in tool responses
• Data handling is subject to Revenium's privacy policy

Environment Configuration

The MCP server uses environment variables for configuration. The method you use depends on your setup:

| Setup | Method | When to Use | |-------|--------|-------------| | Claude Code | -e flag in claude mcp add | Integrating with Claude Code (most common) | | Cursor/Augment | JSON config "env": {...} | Integrating with Cursor or Augment IDE | | Local testing | .env file | Testing the server directly from command line |

Important: Don't mix methods. Choose the one that matches your use case:

• If using Claude Code, you only need the -e flag (no .env file or export needed)
• If testing locally, use a .env file (no export needed)
• Never use export - it's session-specific and gets lost when you close the terminal

Installation

No install needed for most users: the hosted server at https://mcp.revenium.ai/mcp works with any remote-capable MCP client — see Connect to the Hosted Server. The steps below are for running the server locally.

Install Python Package

Option 1: Installation with uvx (Recommended for local testing) ```bash

Install uv if you don't have it

pip install uv

Create .env file

cat > .env << EOF REVENIUM_API_KEY=hak_your_api_key_here TOOL_PROFILE=starter EOF

Run the server (automatically loads .env)

uvx revenium-mcp ```

Option 2: Package Installation in Virtual Environment

# Create and activate virtual environment
python -m venv revenium-mcp-env
source revenium-mcp-env/bin/activate  # On Windows: revenium-mcp-env\Scripts\activate

# Install package
pip install revenium-mcp

# Create .env file for configuration
cat > .env << EOF
REVENIUM_API_KEY=hak_your_api_key_here
TOOL_PROFILE=starter
EOF

# Run the server (automatically loads .env from current directory)
python -m revenium_mcp_server

Note: The .env file should be in the directory where you run the server. Never commit .env to version control.

Choose Your Profile & Start the Server

The MCP server supports two profiles to match your use case:

| Profile | Tools | Target Users | Use Cases | |---------|-------|--------------|-----------| | Starter (default) | 7 tools | Cost monitoring & alerts | Cost analysis, AI transaction metering | | Business | 20 tools | Full platform | Product & subscription management, usage-based billing, comprehensive analytics, tool registry, AI insights, AI agents, cost controls |

The server uses the Starter profile by default. To use the Business profile, set the TOOL_PROFILE environment variable:

With uvx and .env file: ```bash

Starter Profile (7 tools) - Cost monitoring, alerts, AI metering integration (default)

cat > .env << EOF REVENIUM_API_KEY=hak_your_api_key_here TOOL_PROFILE=starter EOF uvx revenium-mcp

Business Profile (20 tools) - Usage-based billing & AI Analytics

cat > .env << EOF REVENIUM_API_KEY=hak_your_api_key_here TOOL_PROFILE=business EOF uvx revenium-mcp ```

For Claude Code

Choose one of the following integration methods. Both use the Starter profile by default. To use the Business profile, add -e TOOL_PROFILE=business to the command:

Option 1: Installation with uvx ```bash

Install uv if you don't have it

pip install uv

Starter profile (default)

claude mcp add revenium \ -e REVENIUM_API_KEY=hak_your_api_key_here \ -- uvx revenium-mcp

Business profile (for advanced features)

claude mcp add revenium \ -e REVENIUM_API_KEY=hak_your_api_key_here \ -e TOOL_PROFILE=business \ -- uvx revenium-mcp ```

Option 2: Installation with python virtual environment ```bash

Create and activate virtual environment

python -m venv revenium-mcp-env source revenium-mcp-env/bin/activate # On Windows: revenium-mcp-env\Scripts\activate

Install package

pip install revenium-mcp

Add to Claude Code using venv python (starter profile - default)

claude mcp add revenium \ -e REVENIUM_API_KEY=hak_your_api_key_here \ -- ./revenium-mcp-env/bin/python -m revenium_mcp

For business profile, add the environment variable:

claude mcp add revenium \ -e REVENIUM_API_KEY=hak_your_api_key_here \ -e TOOL_PROFILE=business \ -- ./revenium-mcp-env/bin/python -m revenium_mcp ```

Claude Code Slash Commands

Optional prompt shortcuts for Claude Code users. Copy the slash commands to your project's .claude/commands/ folder.

| Command | Description | |---------|-------------| | /rm-summary-1h | Spending summary (last hour) | | /rm-summary-24h | Spending summary (last 24 hours) | | /rm-summary-7d | Spending summary (last 7 days) | | /rm-summary-30d | Spending summary (last 30 days) | | /rm-anomalies-24h [threshold] | Detect cost anomalies (24h, default $50) | | /rm-anomalies-7d [threshold] | Detect cost anomalies (7d, default $50) | | /rm-anomalies-30d [threshold] | Detect cost anomalies (30d, default $50) | | /rm-alert-budget-daily [threshold] | Create daily budget alert (default $100) | | /rm-alert-per-transaction [threshold] | Create per-transaction alert (default $5) | | /rm-customers-30d | Top customers by cost (30 days) |

---

For Cursor / Augment IDE (or any IDE allowing MCP JSON import)

Install uv: ``bash pip install uv ``

Configure MCP server:

1. Open Cursor/Augment settings (Ctrl/Cmd + ,) | (Cmd + Shift + P for Augment)
2. Navigate to Extensions → MCP or create ~/.cursor/mcp.json | for Augment, import JSON below into MCP settings
3. Add server configuration:

Standard Configuration: ``json { "mcpServers": { "revenium": { "command": "uvx", "args": ["revenium-mcp"], "env": { "REVENIUM_API_KEY": "hak_your_api_key_here" } } } } ``

Basic Usage

After installation, the MCP server provides tools to your AI assistant. Simply ask natural language questions:

Cost Monitoring Examples

"Summarize my AI costs for the last month"
"Show me a breakdown of costs by provider"
"Alert me when monthly costs for Anthropic exceed $500"
"Why did my costs spike yesterday?"

Slack Integration Examples

"Set up Slack notifications for cost alerts"
"Send all cost alerts to #ai-spending channel"
"Create a spike detection alert that notifies my team on Slack"

Analytics Examples

"Analyze cost anomalies in the last 7 days"
"Find API key anomalies using aggressive sensitivity"
"Show me cost trends for the last month"
"Detect what caused my cost increase yesterday"

AI Metering Integration

"Get Python integration guide for AI transaction metering"
"Help me integrate this Python AI function with Revenium"
"Generate test transaction data and verify it's processing correctly"

See AI Cost Analytics & Alerting Tools for complete tool descriptions.

Advanced Usage

The MCP server provides different tool sets based on your selected profile:

Alert Management

Set up intelligent monitoring for costs, usage, and performance metrics.

• Create budget threshold and spike detection alerts
• Get notified via Slack or email when patterns change
• Example: "Alert me when monthly costs for Anthropic exceed $500"
• Example: "Create a spike detection alert when token use exceeds 1,500,000 tokens per hour"
• Example: "Alert when my error rate exceeds 5% every 5 minutes"
• Example: "Set up cost per transaction monitoring so any single AI call costing more than $1.50 triggers an immediate Slack alert"

Relative Change Alerts (Trend Detection)

Detect percentage-based cost changes over configurable time periods. Use RELATIVE_CHANGE alerts with INCREASES_BY or DECREASES_BY operators to catch trends before they become problems.

| Setting | Options | |---------|---------| | Operators | INCREASES_BY, DECREASES_BY | | Periods | DAILY, WEEKLY, MONTHLY, QUARTERLY |

"Alert me if weekly AI costs increase by more than 25%"
"Create a relative change alert that triggers when monthly spend decreases by 15%"
"Set up a daily trend alert — notify me on Slack if costs increase by 10% day over day"

Slack Integration

• Example: "Set up a Slack notification channel for Revenium alerts"
• Example: "Add a new slack channel for all customer spending alerts"
• Example: "Send all product spending anomalies to the Slack channel #product-spend-alerts."

AI Business Analytics

Analyze costs, usage patterns, and performance.

• Cost trend analysis and breakdowns
• Example: "Summarize my costs for the last day/week/month and highlight any anomalies"
• Example: "Explain why costs grew last week"
• Example: "Show me a breakdown of AI costs last month by provider/customer/product/agent"

Common Use Cases

"Why did my costs spike yesterday?"

• "Analyze cost anomalies in the last 7 days focusing on abnormal spending by model or API key"
• "Detect what caused my cost increase yesterday. Only focus on anomalies larger than $20 vs. the norm"

"Find anomalies across all dimensions"

• "Show me cost anomalies in the last month across all providers, models, agents, API keys, and customers"
• "Analyze all dimensions for cost spikes above $150 in the past 30 days"

"Detect small but significant anomalies to identify early changes in behavior before they become large issues"

• "Find API key anomalies in the last week using aggressive sensitivity"

AI Metering Management

Track AI usage, token consumption, and transaction data with comprehensive integration guidance.

• Get assistance creating a new custom integration from your AI agents to Revenium
• Get comprehensive implementation guidance with working code examples for Python and JavaScript
• Submit AI transaction data and verify successful processing

• Example: "Get Python integration guide with working code examples for AI transaction metering"
• Example: "Get JavaScript integration guide with Revenium documentation"
• Example: "Check the status of transaction tx_12345"
• Example: "Help me integrate this python AI function with Revenium's AI metering API"
• Example: "Generate test transaction data from our application and ensure all metadata is properly mapped in Revenium."

Jobs & Outcomes (Outcomes for AI)

Track AI agent job execution, measure ROI, and report business outcomes. Jobs represent units of AI agent work; outcomes capture the business value delivered.

Key actions:

• list_jobs — List jobs with filtering and pagination
• get_job — Retrieve a specific job by its agenticJobId
• get_job_transactions — View transactions associated with a job
• get_job_roi — Calculate return on investment for a job
• get_job_types — List available job type classifications
• get_conversion_funnel — Analyze conversion from job initiation through outcome
• report_outcome — Report a business outcome tied to a job

Note: When referencing jobs, use the agenticJobId field as the job_id parameter.

"List all AI agent jobs from the last 7 days"
"Show me the ROI for job aj_abc123"
"Report a successful outcome for job aj_xyz789 with revenue of $150"
"Show the conversion funnel for jobs this month"

---

Usage-Based Billing Tools (Business Profile Only)

Product Management

Create and manage your AI products, pricing tiers, and billing models.

• Design usage-based or subscription pricing
• Design chargeback models so that all AI spending is invoiced to the correct internal department
• Set up free tiers and graduated pricing for SaaS products
• Example: "Create a Gold Tier AI product with $199 per month base fee plus usage-based pricing that charges 1.10x the actual AI costs"
• Example: "Create a new product called 'Smart Analytics' with usage-based pricing"
• Example: "Set up a free tier with 1000 API calls, then charge a 25% premium on my AI costs for every call"
• Example: "Show me the number of subscribers for each of my products"

Customer Management

Handle customer relationships, organizations, and user hierarchies.

• Manage customer or internal organizations used for cost attribution
• Create & manage subscribers (internal or external)
• Track customer usage

• Example: "List all organizations and their subscription status"

Subscription Management

Control customer subscriptions, billing cycles, and plan changes.

• Create and modify customer subscriptions
• Track subscription analytics
• Example: "Create a monthly subscription for customer ABC Corp to the product 'analytics-suite'"
• Example: "Show me all active subscriptions to the AI Analytics product"
• Example: "List subscriptions that are about to expire this month"

Tool Registry Management

Register, manage, and analyze AI tools in the Revenium Tool Registry with pricing tiers, event metering, and analytics.

Key actions:

• list — List registered tools with pagination
• get — Retrieve a specific tool by ID
• create — Register a new tool with full configuration including pricing
• create_simple — Quick tool registration with sensible defaults
• update — Update a tool's configuration
• delete — Remove a tool from the registry
• search — Search tools by name, type, or other criteria
• meter_event — Submit a tool/function call for metering
• list_events — List tool event logs (filterable)
• analytics — Get usage analytics across tools

Pricing models: per_request, tiered, flat

"Register a new tool called 'sentiment-analyzer' with per_call pricing at $0.02 per call"
"Create a tool 'doc-summarizer' with tiered pricing — free up to 100 calls, then $0.01 each"
"List all registered tools in the tool registry"
"Show me tool analytics for the last 30 days"
"Search for tools related to 'translation'"

Configuration Options

Required Configuration

| Variable | Required | Description | Example | |----------|----------|-------------|---------| | REVENIUM_API_KEY | ✅ | Your account API key from the API Keys page in Revenium | hak_1234567890abcdef |

Automatically Loaded Values

These values are loaded from your account and can be overridden if needed:

| Variable | Override When | Example | |----------|---------------|---------| | REVENIUM_TEAM_ID | Multi-tenant environments | ABC123x | | REVENIUM_TENANT_ID | Operating on behalf of different tenant | DEF456n | | REVENIUM_OWNER_ID | Non-primary user scenarios | GHI789z | | REVENIUM_DEFAULT_EMAIL | Custom alert email preferences | alerts@company.com |

Optional Configuration

| Variable | Required | Description | Example | |----------|----------|-------------|---------| | REVENIUM_BASE_URL | | API endpoint URL (defaults to main Revenium instance) | https://api.revenium.ai | | REVENIUM_APP_BASE_URL | | Revenium application/analytics host used by tool-cost analytics (/api/v2/analytics/*) and Slack integrations. When REVENIUM_BASE_URL points at a non-production environment, set this too — otherwise analytics calls default to production and fail with 401 for non-prod API keys. | https://ai.revenium.io | | LOG_LEVEL | | Logging verbosity level | DEBUG | | REQUEST_TIMEOUT | | API request timeout in seconds | 30 |

Overriding Default Values in IDE / MCP Client (Advanced Use Cases)

You can override the automatically loaded values if needed:

When you might need overrides:

• Multi-tenant environments: Switching organizations in a multi-tenant Revenium installation
• Custom email preferences: Change default email address for alert configuration
• Custom API endpoints: When not using Revenium's default API endpoints

Troubleshooting

Authentication Errors

• Verify your API key is correct and active
• Use the diagnostic tool to check configuration status
• Ensure the base URL is correct for your environment
• Check that the /users/me endpoint is accessible with your API key

Configuration Priority

The system loads configuration values in this priority order:

1. MCP client JSON configuration env section (highest priority)
2. System environment variables
3. Automatically loaded values from Revenium's API

Use the system_diagnostics tool to see exactly which values are being used from each source.

Common Issues

Issue: MCP server not appearing in AI assistant Solution: Verify installation with uvx revenium-mcp --version and check MCP client configuration

Issue: Authentication errors Solution: Verify API key based on your setup:

For local development (.env file): ```bash

Check if .env exists and contains your key

cat .env | grep REVENIUM_API_KEY

Verify the server can load it (run from project directory)

python -c "import os; from dotenv import load_dotenv; load_dotenv(); print('API Key:', os.getenv('REVENIUM_API_KEY', 'NOT FOUND')[:20] + '...')" ```

For Claude Code: ``bash claude mcp list # Verify configuration includes API key ``

For Cursor/Augment: Check your MCP JSON config file includes REVENIUM_API_KEY in the env section.

For any setup: Use the system_diagnostics tool to see exactly which configuration values are being used.

Issue: Tools not working as expected Solution: Check you're using the correct profile (Starter vs Business) for your use case

Documentation

For detailed documentation, visit docs.revenium.io

Additional resources:

• API Documentation
• MCP Protocol Specification

Contributing

We welcome contributions! Please see CONTRIBUTING.md for guidelines on:

• Reporting bugs
• Suggesting enhancements
• Submitting pull requests
• Development workflow

Code of Conduct

This project adheres to a Code of Conduct to ensure a welcoming and inclusive community. See CODE_OF_CONDUCT.md for details.

Security

Security is a top priority. For security concerns, please see SECURITY.md for:

• Our security policy
• How to report vulnerabilities
• Security best practices

License

This project is licensed under the MIT License. See LICENSE for full details.

Support

For questions, issues, or feature requests:

• Email: support@revenium.io
• Issues: GitHub Issues
• Documentation: docs.revenium.io
• Community: Revenium Discord (coming soon)

Development

Local Development Setup

# Clone repository
git clone https://github.com/revenium/revenium-mcp.git
cd revenium-mcp

# Create virtual environment
python -m venv venv
source venv/bin/activate  # On Windows: venv\Scripts\activate

# Install dependencies (including dev dependencies)
pip install -e ".[dev]"

# Create .env file for development
cat > .env << EOF
REVENIUM_API_KEY=hak_your_api_key_here
REVENIUM_TEAM_ID=your_team_id
LOG_LEVEL=DEBUG
EOF

# Verify .env is loaded
python -c "import os; from dotenv import load_dotenv; load_dotenv(); print(f'API Key loaded: {os.getenv(\"REVENIUM_API_KEY\", \"NOT FOUND\")[:20]}...')"

# Run tests
pytest

# Run linters
black .
isort .
mypy .
flake8

Important: Never commit your .env file. The repository includes .env.example as a template.

Testing

# Run all tests
pytest

# Run with coverage
pytest --cov=revenium_mcp_server --cov-report=html

# Run specific test file
pytest tests/test_auth.py

Contributing

See CONTRIBUTING.md for detailed development guidelines including:

• Code style requirements
• Testing requirements
• Pull request process
• Release process

Acknowledgments

Built by the Revenium team with contributions from the community.

Special thanks to:

• Anthropic for the Model Context Protocol specification
• The open-source community for MCP tooling and support