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With AI, Everyone is a Dev. EveryDev.ai © 2026
    1. Home
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    3. ContextForge AI Gateway
    ContextForge AI Gateway icon

    ContextForge AI Gateway

    MCP Servers

    An open source AI gateway, registry, and proxy that federates MCP, A2A, and REST/gRPC APIs into a unified endpoint with centralized governance, discovery, and observability.

    Visit Website

    At a Glance

    Pricing
    Open Source

    Fully free and open source under Apache License 2.0. Self-host via PyPI, Docker, or Kubernetes.

    Engagement

    Available On

    Windows
    macOS
    Linux
    Web
    API

    Resources

    WebsiteDocsGitHubllms.txt

    Topics

    MCP ServersAgent FrameworksLLM Orchestration

    Alternatives

    YoMoLangflowOmniRoute
    Developer
    IBMArmonk, NYEst. 1911

    Listed Aug 2026

    About ContextForge AI Gateway

    ContextForge is an open source AI gateway built by IBM that federates tools, agents, and APIs into one clean endpoint for AI clients. Published on PyPI as mcp-contextforge-gateway and available as an OCI container image, it is licensed under Apache 2.0 and actively maintained on GitHub with version v1.0.6 as of July 2026.

    What It Is

    ContextForge sits in front of any Model Context Protocol (MCP) server, A2A server, or REST/gRPC API and exposes a single, unified interface with centralized discovery, guardrails, and management. It acts simultaneously as a Tools Gateway (MCP, REST, gRPC-to-MCP translation, TOON compression), an Agent Gateway (A2A protocol, OpenAI-compatible and Anthropic agent routing), and an API Gateway (rate limiting, auth, retries, reverse proxy). The project is fully compliant with the MCP specification and scales from a single Docker container to multi-cluster Kubernetes deployments backed by Redis.

    Architecture and Protocol Support

    ContextForge is built on FastAPI with async SQLAlchemy ORM and Pydantic Settings, and exposes multiple transport options:

    • Transports: HTTP, JSON-RPC, WebSocket, SSE (with configurable keepalive), stdio, and streamable HTTP
    • Protocol translation: gRPC-to-MCP via automatic reflection-based service discovery; REST-to-MCP tool adapter with automatic JSON Schema extraction
    • Virtualization: Wraps non-MCP services as virtual MCP servers with minimal configuration
    • Unified registries: Prompts (Jinja2 templates, multimodal, versioning), Resources (URI-based, MIME detection, caching), and Tools (native or adapted, with input validation)
    • Plugin framework: 40+ plugins for additional transports, protocols, and integrations, with gRPC and Unix socket transport options for external plugins

    The modular architecture is documented through 48+ Architecture Decision Records (ADRs) and is incrementally migrating toward a Rust MCP runtime sidecar model.

    Observability and Security

    ContextForge ships vendor-agnostic OpenTelemetry tracing with zero overhead when disabled:

    • Backends: Phoenix (LLM-focused), Jaeger, Zipkin, Tempo, DataDog, New Relic via OTLP
    • LLM-specific metrics: Token usage, costs, model performance
    • Distributed tracing across federated gateways
    • Auth: Basic auth, JWT (with JTI revocation support), OAuth 2.0, OIDC/SSO (GitHub, Google, Microsoft Entra ID, Keycloak, Okta), RBAC, and Dynamic Client Registration
    • Security defaults: REQUIRE_JTI=true, REQUIRE_TOKEN_EXPIRATION=true, PUBLIC_REGISTRATION_ENABLED=false; OWASP/DAST security testing included in the test suite

    Deployment Model

    ContextForge supports a wide range of deployment targets:

    • Local: PyPI install (pip install mcp-contextforge-gateway) or uvx one-liner
    • Container: Docker or Podman single-container with SQLite; Docker Compose full stack with PostgreSQL, Redis, and Nginx
    • Kubernetes: Helm charts with HPA auto-scaling, multi-replica deployments, and Redis clustering; OpenShift and Minikube guides included
    • Cloud: AWS ECS/EKS, Azure AKS, Google Cloud Run, IBM Cloud Code Engine, Fly.io
    • Air-gapped: Bundled JavaScript (HTMX + Alpine.js) with optional vendor library bundling for offline deployments

    The Admin UI provides real-time management, log viewing with filtering and export, and configuration management.

    Agent Framework Integrations

    The documentation lists explicit integration guides for major agent frameworks:

    • LangChain, LangGraph, CrewAI, BeeAI, AutoGen, Semantic Kernel, OpenAI Agents SDK, LlamaIndex
    • A2A (Agent-to-Agent) protocol for cross-agent communication
    • MCP clients: Claude Desktop, GitHub Copilot, Cline (VS Code), Continue (VS Code), OpenWebUI, MCP CLI, MCP Inspector

    Update: v1.0.6

    The latest release, v1.0.6 (published July 21, 2026), is titled "OAuth Token Exchange, Vault Credentials, MCP Apps, Dataplane Publishing, and Security Hardening." The project reached v1.0.0 general availability and has been actively releasing through the 1.0.x series. The GitHub repository shows 4,200+ stars and 796 forks. The roadmap includes a Rust MCP runtime sidecar and a modular architecture split into 14 independent modules. The test suite has grown to 7,000+ tests.

    ContextForge AI Gateway - 1

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    Pricing

    OPEN SOURCE

    Open Source

    Fully free and open source under Apache License 2.0. Self-host via PyPI, Docker, or Kubernetes.

    • Full MCP gateway and federation
    • A2A protocol support
    • gRPC-to-MCP translation
    • 40+ plugins
    • OpenTelemetry observability

    Capabilities

    Key Features

    • MCP server federation and proxy
    • A2A (Agent-to-Agent) protocol support
    • gRPC-to-MCP translation via server reflection
    • REST-to-MCP tool adapter with JSON Schema extraction
    • Unified tool, prompt, and resource registries
    • 40+ plugins for transports and integrations
    • OpenTelemetry observability with multiple OTLP backends
    • Admin UI with real-time log viewer
    • JWT, OAuth 2.0, OIDC/SSO authentication
    • RBAC and team management
    • Rate limiting, retries, and reverse proxy
    • Redis-backed caching and multi-cluster federation
    • Docker, Kubernetes, and Helm deployment support
    • Air-gapped deployment mode
    • STDIO wrapper for MCP client compatibility
    • Transport bridge (SSE, streamable HTTP, WebSocket, stdio)
    • Prometheus metrics and health endpoints
    • Dynamic Client Registration (DCR)
    • Jinja2 prompt templates with versioning
    • TOON compression for tool calling

    Integrations

    LangChain
    LangGraph
    CrewAI
    BeeAI
    AutoGen
    Semantic Kernel
    OpenAI Agents SDK
    LlamaIndex
    Claude Desktop
    GitHub Copilot
    Cline
    Continue
    OpenWebUI
    MCP Inspector
    PostgreSQL
    Redis
    Prometheus
    Jaeger
    Zipkin
    Phoenix
    DataDog
    New Relic
    Langfuse
    Keycloak
    Okta
    Microsoft Entra ID
    Google OAuth
    IBM Security Verify
    Terraform
    IBM Instana
    Box
    monday.com
    GitHub MCP Server
    Argo CD
    Helm
    Kubernetes
    OpenShift
    AWS ECS/EKS
    Azure AKS
    Google Cloud Run
    IBM Cloud Code Engine
    Fly.io
    API Available
    View Docs

    Ratings & Reviews

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    Developer

    IBM

    IBM builds ContextForge as an open source AI gateway project under its GitHub organization, which hosts 3,900+ repositories and has 25+ years of open source involvement. The project is led by Mihai Criveti (Distinguished Engineer, Agentic AI) and a team of IBM engineers. IBM develops ContextForge as an open source project rather than a commercial product, providing it under the Apache 2.0 license with no formal support obligations.

    Founded 1911
    Armonk, NY
    264,300 employees

    Used by

    NASA
    U.S. Census Bureau
    Cleveland Clinic
    Mastercard
    +3 more
    Read more about IBM
    WebsiteGitHub
    1 tool in directory

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