I
IBM/mcp-context-forge
Gateway and registry in front of MCP, A2A and REST APIs
View on GitHub ↗Link checked 2026-11-12 · HTTP 200 · opens the vendor's own site
Install & config
Client config (built from the install command this repo gives)
{
"mcpServers": {
"ibm-mcp-context-forge": {
"command": "npx",
"args": ["-y", "@modelcontextprotocol/inspector"]
}
}
}Parsed from the README we fetched on 2026-11-04; we have not executed it.
command/args come from the install command the repository states. When it is ambiguous, the project README wins.
VS Code (.vscode/mcp.json - the key is servers)
{
"servers": {
"ibm-mcp-context-forge": {
"command": "npx",
"args": ["-y", "@modelcontextprotocol/inspector"]
}
}
}Same server, but VS Code keeps it under <code>servers</code>.
Claude Code (command line)
claude mcp add --transport stdio ibm-mcp-context-forge -- npx -y @modelcontextprotocol/inspector
Claude Code does not read a config file; add the server with this command.
Key names differ by client: Clients & CLI
- Source
- collected from the abordage/awesome-mcp list · type: MCP server
- Harvest history
- first seen 2026-11-05 · last seen 2026-11-14 · seen 10× · listed by 10 sources
- Score
- score 1,003 · 10 sources · mcp
- Install
npx -y @modelcontextprotocol/inspector
FAQ (answers come from our records)
How do I install it?
The repository provides this install command:
npx -y @modelcontextprotocol/inspector. It comes from the repository itself; we cannot guarantee it runs as-is in your client.Who is it for?
We filed it under these tags: MCP 服务. The tags come from the entry itself, not a taxonomy we imposed.
Who maintains it?
first catalogued 2026-11-05;last seen 2026-11-14。There is no official certification or quality rating here — we record sources and dates only.
# ContextForge
以下摘录自该仓库的 README(片段) · 在 GitHub 读完整 README →
> An open source registry and proxy that federates MCP, A2A, and REST/gRPC APIs with centralized governance, discovery, and observability. Optimizes Agent & Tool calling, and supports plugins.
ContextForge is an open source registry and proxy that federates tools, agents, and APIs into one clean endpoint for your AI clients. It provides centralized governance, discovery, and observability across your AI infrastructure:
Tools Gateway — MCP, REST, gRPC-to-MCP translation, and TOON compression
Agent Gateway — A2A protocol, OpenAI-compatible and Anthropic agent routing
API Gateway — Rate limiting, auth, retries, and reverse proxy for REST services
Plugin Extensibility — 40+ plugins for additional transports, protocols, and integrations
Observability — OpenTelemetry tracing with Phoenix, Jaeger, Zipkin, and other OTLP backends
It runs as a fully compliant MCP server, deployable via PyPI or Docker, and scales to multi-cluster environments on Kubernetes with Redis-backed federation and caching.
## Table of Contents
Overview & Goals
Quick Start - PyPI
Quick Start - Containers
Optional Web UI
VS Code Dev Container
Installation
Upgrading
Configuration
Running
Cloud Deployment
API Reference
Testing
Project Structure
Development
Troubleshooting
Contributing
### 📌 Quick Links
| Resource | Description |
| 5-Minute Setup | Get started fast — uvx, Docker, Compose, or local dev |
| Getting Help | Support options, FAQ, community channels |
| Issue Guide | How to file bugs, request features, contribute |
| Full Documentation | Complete guides, tutorials, API reference |
| Deprecations | Deprecated runtime paths and migration guidance |
## Overview & Goals
ContextForge is an open source registry and proxy that federates any Model Context Protocol (MCP) server, A2A server, or REST/gRPC API, providing centralized governance, discovery, and observability. It optimizes agent and tool calling, and supports plugins. See the project roadmap for more details.
It currently supports:
Federation across multiple MCP and REST services
A2A (Agent-to-Agent) integration for external AI agents (OpenAI, Anthropic, custom)
gRPC-to-MCP translation via automatic reflection-based service discovery
Virtualization of legacy APIs as MCP-compliant tools and servers
Transport over HTTP, JSON-RPC, WebSocket, SSE (with configurable keepalive), and Streamable HTTP; stdio transport available for server-side use
An Admin UI for real-time management, configuration, and log monitoring (with airgapped deployment support)
A redesigned, more user-friendly Web UI that runs in a separate container
Built-in auth, retries, and rate-limiting with user-scoped OAuth tokens and unconditional X-Upstream-Authorization header support
OpenTelemetry observability with Phoenix, Jaeger, Zipkin, and other OTLP backends
Scalable deployments via Docker or PyPI, Redis-backed caching, and multi-cluster federation
For a list of upcoming features, check out the ContextForge Roadmap
🔌 Gateway Layer with Protocol Flexibility
Federates any MCP server or REST API
Lets you choose your MCP protocol version (e.g., 2025-11-25)
Exposes a single, unified interface for diverse backends
ContextForge is an open source registry and proxy that federates tools, agents, and APIs into one clean endpoint for your AI clients. It provides centralized governance, discovery, and observability across your AI infrastructure:
Tools Gateway — MCP, REST, gRPC-to-MCP translation, and TOON compression
Agent Gateway — A2A protocol, OpenAI-compatible and Anthropic agent routing
API Gateway — Rate limiting, auth, retries, and reverse proxy for REST services
Plugin Extensibility — 40+ plugins for additional transports, protocols, and integrations
Observability — OpenTelemetry tracing with Phoenix, Jaeger, Zipkin, and other OTLP backends
It runs as a fully compliant MCP server, deployable via PyPI or Docker, and scales to multi-cluster environments on Kubernetes with Redis-backed federation and caching.
## Table of Contents
Overview & Goals
Quick Start - PyPI
Quick Start - Containers
Optional Web UI
VS Code Dev Container
Installation
Upgrading
Configuration
Running
Cloud Deployment
API Reference
Testing
Project Structure
Development
Troubleshooting
Contributing
### 📌 Quick Links
| Resource | Description |
| 5-Minute Setup | Get started fast — uvx, Docker, Compose, or local dev |
| Getting Help | Support options, FAQ, community channels |
| Issue Guide | How to file bugs, request features, contribute |
| Full Documentation | Complete guides, tutorials, API reference |
| Deprecations | Deprecated runtime paths and migration guidance |
## Overview & Goals
ContextForge is an open source registry and proxy that federates any Model Context Protocol (MCP) server, A2A server, or REST/gRPC API, providing centralized governance, discovery, and observability. It optimizes agent and tool calling, and supports plugins. See the project roadmap for more details.
It currently supports:
Federation across multiple MCP and REST services
A2A (Agent-to-Agent) integration for external AI agents (OpenAI, Anthropic, custom)
gRPC-to-MCP translation via automatic reflection-based service discovery
Virtualization of legacy APIs as MCP-compliant tools and servers
Transport over HTTP, JSON-RPC, WebSocket, SSE (with configurable keepalive), and Streamable HTTP; stdio transport available for server-side use
An Admin UI for real-time management, configuration, and log monitoring (with airgapped deployment support)
A redesigned, more user-friendly Web UI that runs in a separate container
Built-in auth, retries, and rate-limiting with user-scoped OAuth tokens and unconditional X-Upstream-Authorization header support
OpenTelemetry observability with Phoenix, Jaeger, Zipkin, and other OTLP backends
Scalable deployments via Docker or PyPI, Redis-backed caching, and multi-cluster federation
For a list of upcoming features, check out the ContextForge Roadmap
🔌 Gateway Layer with Protocol Flexibility
Federates any MCP server or REST API
Lets you choose your MCP protocol version (e.g., 2025-11-25)
Exposes a single, unified interface for diverse backends
Listed badge (optional)
Copy this line into the README if you want the listing mark. Optional, and it does not affect being listed.
[](https://anclum.com/en/s/ibm-mcp-context-forge/)
- Source
- awesome · https://github.com/IBM/mcp-context-forge
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