Claude Skills by tools-only

**ContextForge** is a production-grade AI gateway, registry, and proxy for Model Context Protocol (MCP) servers, A2A Agents, and REST/gRPC APIs. It exposes a unified control plane with centralized governance, discovery, and observability, acting as a single entry point for tools, resources, prompts, and servers while federating local and remote nodes into a coherent MCP-compliant interface.

SERVER_ROOT_PATH="/your-prefix" ``` Then confirm the UI is accessible at `http://your-host:4000/your-prefix/ui/`.

Meeseeks is an AI task agent assistant that breaks a request into small actions, runs the right tools, and replies with a clean summary. This landing page mirrors the README feature highlights so the overview stays consistent. Update both when core positioning changes.

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Welcome! This guide is for developers contributing to ContextForge. Whether you're fixing bugs, adding features, or extending federation or protocol support, this doc will help you get up and running quickly and consistently. ---

There are specific instructions that Claude needs for ALL the intelligent textbook projects on each computer you use. These go in a file in the users $HOME directory: `$HOME/.claude/CLAUDE.md`

Welcome! This guide is for developers contributing to MCP Gateway. Whether you're fixing bugs, adding features, or extending federation or protocol support, this doc will help you get up and running quickly and consistently. ---

environment_variables: MAX_IMAGE_URL_DOWNLOAD_SIZE_MB: "100" ``` This feature improves reliability by: - Preventing memory issues from very large images - Aligning with OpenAI's 50MB payload limit - Validating image sizes early (when Content-Length header is available) ---

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> A unified gateway for Tools, Agents, Models, and APIs — with federation, virtual servers, retries, security, and an optional admin UI. **ContextForge** is a production-grade AI gateway that federates tools, agents, models, and APIs into one clean endpoint for your AI clients: - **Tools Gateway** — MCP, REST, gRPC-to-MCP translation, and TOON compression - **Agent Gateway** — A2A protocol, OpenAI-compatible and Anthropic agent routing - **Model Gateway** — LLM proxy with OpenAI API spec supp...

Canonical technical reference for every CLI flag, API endpoint, environment variable, and policy knob. - **[CLI Command Reference](./cli-command-reference.md)** -- Every command, subcommand, and flag for `skill-scanner`, `skill-scanner-api`, and the pre-commit hook. - **[API Endpoint Reference](./api-endpoint-reference.md)** -- REST endpoints, request/response models, and example payloads for the FastAPI server. - **[Configuration Reference](./configuration-reference.md)** -- Environment vari...

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Welcome! This guide is for developers contributing to MCP Gateway. Whether you're fixing bugs, adding features, or extending federation or protocol support, this doc will help you get up and running quickly and consistently. ---

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Navigation guide to comprehensive documentation for Hatchling's source distribution build target, including configuration options, file selection, metadata versions, and advanced features

> An AI Gateway, registry, and proxy that sits in front of any MCP, A2A, or REST/gRPC APIs, exposing a unified control plane with centralized governance, discovery, and observability for all your AI needs. Optimizes Agent & Tool calling, and supports plugins. **ContextForge** is a production-grade AI gateway, registry, and proxy that federates tools, agents, models, and APIs into one clean endpoint for your AI clients. It exposes a unified control plane with centralized governance, discovery,...

???+ example "🚀 How can I install and run MCP Gateway in one command?" PyPI (pipx / uvx makes an isolated venv):

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This section provides operational guidance for running and maintaining a production instance of MCP Gateway. Whether you're self-hosting, running in the cloud, or deploying to Kubernetes, this section helps you monitor, back up, and maintain the system. --- !!! tip "What's new in 1.0.0-RC-1" Multi‑tenancy (email auth, teams, RBAC, resource visibility) was introduced in v0.9.0 and is fully supported in 1.0.0-RC-1. - See the [Migration Guide](https://github.com/IBM/mcp-context-forge/blob/main/M...

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This comprehensive reference is designed to help you assist users with Hatchling build issues. It documents error handling, validation mechanisms, and resolution strategies in Hatchling, the modern Python packaging build backend. Use this reference when helping users understand common errors, validation rules, and best practices for robust package building.

Step-by-step workflow for installing Robusta on Kubernetes clusters.

This guide will help you install and configure the Azure Pricing MCP Server.

Complete installation instructions for the MCP Gateway & Registry on various platforms.

Complete installation instructions for the Fullstack Starter Pack Claude Code plugin collection. ---

- Kubernetes cluster with Argo CD installed - kubectl configured to access your cluster - Argo CD v1.0.0+ (v2.0+ for Git write-back)

**Time Required:** 5 minutes **Difficulty:** Beginner **Last Updated:** October 2025 ---

Complete setup instructions for AutoMem across all environments.

Complete installation guide for the AI/ML Engineering Pack, a professional toolkit for prompt engineering, LLM integration, RAG systems, and AI safety.

Complete installation instructions for the MCP Gateway & Registry on various platforms.

Complete installation instructions for all deployment methods.

Install mcpbr to benchmark AI agents and MCP servers. Requires Python 3.11+, Docker, and an Anthropic API key.

Complete guide for integrating ShellCheck into development workflows.

Cisco Skill Scanner integrates with CI/CD pipelines, pre-commit hooks, and GitHub Code Scanning.

Comprehensive guide to integrating uv with Docker, CI/CD, tools, and other systems. ---

```bash helm repo add open-telemetry https://open-telemetry.github.io/opentelemetry-helm-charts helm repo update ```

```bash kubectl cluster-info kubectl get nodes kubectl describe node <node-name> kubectl top nodes kubectl drain <node-name> --ignore-daemonsets kubectl uncordon <node-name> ```

``` Git Repository (desired state) │ Watches ▼ GitOps Agent (Argo CD / Flux) │ Syncs ▼ Kubernetes Cluster (actual state) ```

```yaml name: Build and Deploy on: push: branches: [main]

LiteLLM Proxy provides an MCP Gateway that allows you to use a fixed endpoint for all MCP tools and control MCP access by Key, Team. <Image img={require('../img/mcp_2.png')} style={{width: '100%', display: 'block', margin: '2rem auto'}} /> <p style={{textAlign: 'left', color: '#666'}}> LiteLLM MCP Architecture: Use MCP tools with all LiteLLM supported models </p>

LiteLLM Proxy provides an MCP Gateway that allows you to use a fixed endpoint for all MCP tools and control MCP access by Key, Team. <Image img={require('../img/mcp_2.png')} style={{width: '100%', display: 'block', margin: '2rem auto'}} /> <p style={{textAlign: 'left', color: '#666'}}> LiteLLM MCP Architecture: Use MCP tools with all LiteLLM supported models </p>