index

A guide for connecting AI agent frameworks to tools provided through the Model Context Protocol, a standard way for software to discover and use remote tools.

In plain words
What is it for?
Connecting LangChain, LangGraph, CrewAI, BeeAI, AutoGen, LlamaIndex, OpenAI Agents SDK, and Semantic Kernel agents to MCP servers.
Why use it?
It explains how different agent frameworks can access shared tools without each integration needing its own custom approach.

Agent

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add agents/ibm/mcp-context-forge/index
Clone the repo
git clone --depth 1 https://github.com/IBM/mcp-context-forge
Per session 0 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 546 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5 $0.00000 $0.00546
Opus 5 $0.00000 $0.00273
Sonnet 5 $0.00000 $0.00109
Haiku 4.5 $0.00000 $0.00055

Measured 2d ago against content hash ef98929cb3c0, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

index scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

Origin

Copies of this mod

1 near-identical copy found in the catalogue:

  • index — 100% identical, 0 lines differ
docs/docs/using/agents/index.md · 46 lines

How it starts

The opening of the file, as written. The whole thing — 46 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Agent Integrations

This section provides guidance on integrating various AI agent frameworks with the Model Context Protocol (MCP) Gateway. MCP enables agents to dynamically discover and utilize tools across multiple servers, enhancing their capabilities and flexibility.


🧠 Supported Agent Frameworks

Using ContextForge (Agent frameworks as MCP clients)

  • LangChain: Utilize MCP tools within LangChain agents using the langchain-mcp-adapters package.
  • LangGraph: Integrate MCP tools into LangGraph agents for advanced workflow orchestration.
  • CrewAI: Connect CrewAI agents to MCP servers using the crewai-tools library.
  • BeeAI Framework: Leverage MCP tools within BeeAI Framework for Python and TypeScript agent workflows.
  • AutoGen: Integrate MCP tools with AutoGen agents using the autogen-ext-mcp package.
  • LlamaIndex: Incorporate MCP tools into LlamaIndex workflows for enhanced data retrieval and question answering.
  • OpenAI Agents SDK: Utilize MCP tools within OpenAI's Agents SDK for building AI agents with standardized tool access.
  • Semantic Kernel: Connect Semantic Kernel agents to MCP servers for enriched context and tool integration.

A2A (Agent-to-Agent) Integration (External agents in ContextForge)

  • A2A Integration: Complete guide to registering external AI agents in ContextForge
  • External AI Agents: Register external AI agents (OpenAI, Anthropic, custom) as A2A agents in the gateway
  • Tool Exposure: A2A agents are automatically exposed as MCP tools for other agents to discover and use
  • Protocol Support: Supports JSONRPC, custom protocols, and multiple authentication methods
  • Admin Management: Full admin UI for registering, testing, and managing external agents
  • Virtual Server Integration: Associate A2A agents with virtual servers for organized tool catalogs

🔍 Overview

Read the full file on GitHub · 46 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 2d ago First seen · 46 lines · 0 tokens per session scan A ef98929cb3c0

Subscribe to this mod's changes

index is an agent published in the GitHub repository IBM/mcp-context-forge (4,399 stars, last pushed today), licensed Apache-2.0. It costs nothing until one of its globs matches a file; then it loads 546 tokens. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.