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mcp-agent-patterns

Use when integrating or optimizing Model Context Protocol (MCP) servers and clients. Keywords: MCP, Model Context Protocol, tool discovery, lazy loading, sampling, resource subscription, MCP server.

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Part of vodailocz/kilo-kit-mcp — 142 skills

Install

skills CLI npx skills add https://github.com/VoDaiLocz/kilo-kit-mcp/tree/main/skills/agent-frameworks/mcp-agent-patterns
Claude Code claude plugin marketplace add https://llmmart.ai/marketplace.json && claude plugin install vodailocz-kilo-kit-mcp@llmmart
Git git clone https://github.com/VoDaiLocz/kilo-kit-mcp.git

The skills CLI installs just this skill, for any of its supported agents. Claude Code installs the whole vodailocz/kilo-kit-mcp collection as a plugin from our marketplace. Git is the plain clone.

Skill manifest

MCP Agent Patterns (Model Context Protocol)

Overview

The Model Context Protocol (MCP) provides a standardized way for AI agents to interact with external tools, data resources, and environments. This skill defines architectural patterns and implementation best practices for building, connecting, and optimizing MCP-based systems within the KILO-KIT ecosystem.

When To Use

  • Implementing custom MCP servers or clients.
  • Integrating external services (APIs, DBs, filesystems) as MCP servers.
  • Optimizing context windows when dealing with large tool catalogs.
  • Implementing real-time resource synchronization or complex multi-server orchestrations.
  • Security-critical integrations requiring isolated execution environments.

Core MCP Concepts

  • Tools: Executable functions exposed to the LLM.
  • Resources: Data sources that can be read by the LLM (e.g., file contents, database records).
  • Prompts: Reusable templates or workflows designed to be used by the LLM.
  • Sampling: A protocol allowing an MCP server to request the host client to perform LLM inference on its behalf, enabling agentic tool behavior.

Advanced Patterns

Dynamic Tool Catalog & Progressive Loading

To prevent token bloat:

  1. Manifest Exposure: Expose only essential, high-level tool definitions initially.
  2. On-Demand Loading: Load detailed JSON Schemas only when a tool is selected or explicitly requested by the agent context.

MCP Sampling Protocol

When a server needs LLM intelligence (e.g., parsing unstructured output or making a decision):

  • The server issues a sampling/createMessage request to the client.
  • The client acts as the host/gateway, maintaining control over the model selection and cost.

Resource Streaming & Subscriptions

  • Use URI Templates (res://server/type/{id}) to create flexible resource paths.
  • Implement Resource Subscriptions to push data updates from the server to the client without polling.

Eager vs Lazy Tool Registration

  • Eager: Best for small sets of essential core tools (zero-latency startup).
  • Lazy: Mandatory for large or dynamic catalogs to keep initial prompts lean.

Multi-Server Orchestration

  • Namespace Routing: Prefix tool names with server aliases (serverA:toolX).
  • Conflict Resolution: Implement a central router to handle collisions between tools of the same name across different servers.

Security Considerations

  • Server Sandboxing: Run MCP servers in isolated containers or limited-permission processes.
  • Credential Isolation: Inject sensitive environment variables (API keys, tokens) only into the specific server process that requires them. Use a secure configuration store (e.g., HashiCorp Vault) for production deployments.

Quality Gates

  • Contract Verification: Ensure MCP server implementations conform to the JSON-RPC message schema.
  • Context Hygiene: Verify that only relevant tools/resources are included in the prompt; prune dormant subscriptions.
  • Error Handling: Standardize error codes for common failures (e.g., timeout, auth denied, connection lost).

MCP 2.0 Features (2025-2026)

  • OAuth 2.0 Auth: Native support for delegated access without sharing long-lived keys.
  • Elicitation API: Interactive flow where the client helps the user provide missing inputs for a tool call.
  • Structured Tool Results: Formalized response types beyond simple strings (e.g., rich content types, UI components).

References

Files (kilo-kit-mcp)
  • SKILL.md 3.9 KB
    ---
    name: "mcp-agent-patterns"
    description: >-
      Use when integrating or optimizing Model Context Protocol (MCP) servers and clients. Keywords: MCP, Model Context Protocol, tool discovery, lazy loading, sampling, resource subscription, MCP server.
    ---
    # MCP Agent Patterns (Model Context Protocol)
    
    ## Overview
    The Model Context Protocol (MCP) provides a standardized way for AI agents to interact with external tools, data resources, and environments. This skill defines architectural patterns and implementation best practices for building, connecting, and optimizing MCP-based systems within the KILO-KIT ecosystem.
    
    ## When To Use
    - Implementing custom MCP servers or clients.
    - Integrating external services (APIs, DBs, filesystems) as MCP servers.
    - Optimizing context windows when dealing with large tool catalogs.
    - Implementing real-time resource synchronization or complex multi-server orchestrations.
    - Security-critical integrations requiring isolated execution environments.
    
    ## Core MCP Concepts
    - **Tools**: Executable functions exposed to the LLM.
    - **Resources**: Data sources that can be read by the LLM (e.g., file contents, database records).
    - **Prompts**: Reusable templates or workflows designed to be used by the LLM.
    - **Sampling**: A protocol allowing an MCP server to request the host client to perform LLM inference on its behalf, enabling agentic tool behavior.
    
    ## Advanced Patterns
    
    ### Dynamic Tool Catalog & Progressive Loading
    To prevent token bloat:
    1. **Manifest Exposure**: Expose only essential, high-level tool definitions initially.
    2. **On-Demand Loading**: Load detailed JSON Schemas only when a tool is selected or explicitly requested by the agent context.
    
    ### MCP Sampling Protocol
    When a server needs LLM intelligence (e.g., parsing unstructured output or making a decision):
    - The server issues a `sampling/createMessage` request to the client.
    - The client acts as the host/gateway, maintaining control over the model selection and cost.
    
    ### Resource Streaming & Subscriptions
    - Use **URI Templates** (`res://server/type/{id}`) to create flexible resource paths.
    - Implement **Resource Subscriptions** to push data updates from the server to the client without polling.
    
    ### Eager vs Lazy Tool Registration
    - **Eager**: Best for small sets of essential core tools (zero-latency startup).
    - **Lazy**: Mandatory for large or dynamic catalogs to keep initial prompts lean.
    
    ### Multi-Server Orchestration
    - **Namespace Routing**: Prefix tool names with server aliases (`serverA:toolX`).
    - **Conflict Resolution**: Implement a central router to handle collisions between tools of the same name across different servers.
    
    ## Security Considerations
    - **Server Sandboxing**: Run MCP servers in isolated containers or limited-permission processes.
    - **Credential Isolation**: Inject sensitive environment variables (API keys, tokens) only into the specific server process that requires them. Use a secure configuration store (e.g., HashiCorp Vault) for production deployments.
    
    ## Quality Gates
    - **Contract Verification**: Ensure MCP server implementations conform to the JSON-RPC message schema.
    - **Context Hygiene**: Verify that only relevant tools/resources are included in the prompt; prune dormant subscriptions.
    - **Error Handling**: Standardize error codes for common failures (e.g., timeout, auth denied, connection lost).
    
    ## MCP 2.0 Features (2025-2026)
    - **OAuth 2.0 Auth**: Native support for delegated access without sharing long-lived keys.
    - **Elicitation API**: Interactive flow where the client helps the user provide missing inputs for a tool call.
    - **Structured Tool Results**: Formalized response types beyond simple strings (e.g., rich content types, UI components).
    
    ## References
    - [MCP Official Documentation](https://modelcontextprotocol.io)
    - [JSON-RPC 2.0 Specification](https://www.jsonrpc.org/specification)
    - [KILO-KIT MCP Integration Best Practices](docs/mcp-integration.md)
    

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