🧰 Media Kit¶

Everything you need to write about ContextForge MCP Gateway-assets, ready-to-use copy, badges, images, and quick-start commands.

🤔 What is MCP (Model Context Protocol)?¶

MCP is an open-source protocol released by Anthropic in November 2024 that lets AI agents communicate with external tools through a standard JSON-RPC envelope. It's often described as the "USB-C of AI"-a universal connector for language models.

It's widely supported by GitHub Copilot, Microsoft Copilot, AWS Bedrock, Google Cloud AI, IBM watsonx, and 15,000+ servers in the community.

⚡ Why it matters¶

• ✅ Standardized interface contracts via typed JSON Schema
• ✅ Supported across the ecosystem - GitHub/Microsoft Copilot, AWS Bedrock, Google Cloud AI, IBM watsonx, AgentBee, LangChain, CrewAI, and more
• ✅ Strong ecosystem - 15,000+ MCP-compatible servers and multiple clients, with announcements from multiple major vendors

❌ Current challenges¶

• ❌ Fragmented transports: STDIO, SSE, HTTP - with some methods already deprecated
• ❌ Inconsistent authentication: none, JWT, OAuth
• ❌ Operational overhead: managing endpoints, credentials, retries, and logs for each tool
• ❌ Version mismatch: clients and servers may support different MCP versions

💡 Why ContextForge MCP Gateway?¶

Problem: Most teams build one-off adapters for each tool or model, leading to maintenance burden and slow development.

ContextForge MCP Gateway solves this by proxying all MCP and REST tool servers through a single HTTPS + JSON-RPC endpoint, with discovery, security, and observability built in.

It lets you create Virtual Servers - remixing tools/prompts/resources from multiple servers, introduce strong Auth - and change protocol versions on the fly. It lets you easily create new MCP Servers without having to write any code - by proxing existing REST services.

And is readily available as open source, published a container image and as a Python module published on PyPi - so you can get started with a single command - and scale all the way up to multi-regional Kubernetes clusters.

📑 Sample Announcements¶

docker run -d --name mcpgateway \
  -p 4444:4444 \
  -e JWT_SECRET_KEY=YOUR_KEY \
  -e PLATFORM_ADMIN_EMAIL=admin@example.com \
  -e PLATFORM_ADMIN_PASSWORD=changeme \
  -e PLATFORM_ADMIN_FULL_NAME="Platform Administrator" \
  ghcr.io/ibm/mcp-context-forge:0.7.0

docker run -d --name mcpgateway \
  -p 4444:4444 \
  -e JWT_SECRET_KEY=YOUR_KEY \
  -e PLATFORM_ADMIN_EMAIL=admin@example.com \
  -e PLATFORM_ADMIN_PASSWORD=changeme \
  -e PLATFORM_ADMIN_FULL_NAME="Platform Administrator" \
  ghcr.io/ibm/mcp-context-forge:0.7.0

pip install mcp-contextforge-gateway

# Option 1: Use the provided .env.example
curl -O https://raw.githubusercontent.com/IBM/mcp-context-forge/main/.env.example
cp .env.example .env
# Edit .env to customize your settings
mcpgateway --host 0.0.0.0 --port 4444

# Option 2: Set environment variables directly
PLATFORM_ADMIN_EMAIL=admin@example.com \
PLATFORM_ADMIN_PASSWORD=changeme \
PLATFORM_ADMIN_FULL_NAME="Platform Administrator" \
mcpgateway --host 0.0.0.0 --port 4444

docker run -d --name mcpgateway \
  -p 4444:4444 \
  -e JWT_SECRET_KEY=YOUR_KEY \
  -e PLATFORM_ADMIN_EMAIL=admin@example.com \
  -e PLATFORM_ADMIN_PASSWORD=changeme \
  -e PLATFORM_ADMIN_FULL_NAME="Platform Administrator" \
  ghcr.io/ibm/mcp-context-forge:0.7.0

pip install mcp-contextforge-gateway

# Option 1: Use the provided .env.example
curl -O https://raw.githubusercontent.com/IBM/mcp-context-forge/main/.env.example
cp .env.example .env
# Edit .env to customize your settings
mcpgateway --host 0.0.0.0 --port 4444

# Option 2: Set environment variables directly
PLATFORM_ADMIN_EMAIL=admin@example.com \
PLATFORM_ADMIN_PASSWORD=changeme \
PLATFORM_ADMIN_FULL_NAME="Platform Administrator" \
mcpgateway --host 0.0.0.0 --port 4444

{
  "name": "MCP Gateway",
  "url": "http://localhost:4444",
  "auth": {
    "type": "bearer",
    "token": "<YOUR_JWT_TOKEN>"
  }
}

Run the `list_files` tool with path: "./src"

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