# MCP Agent Toolkit

> Use this tool when you need to streamline agent interactions and optimize performance by sharing state, tracking failure resolutions, and reducing redundant API calls. The MCP Agent Toolkit takes in agent state and LLM responses as inputs and outputs cached results and shared state, enabling efficient collaboration and decision-making. Ideal for use cases involving multi-agent systems, conversational AI, and large language model integration.

Canonical page: https://skillsregistry.net/skills/shubham0086-mcp-agent-toolkit  
JSON: https://api.skillsregistry.net/v1/skills/shubham0086-mcp-agent-toolkit

## Description

Enables agents to share state via a blackboard, record and retrieve failure resolutions, and cache LLM responses to avoid redundant API calls.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/gmtw8etftv)
- **Repository:** <https://github.com/shubham0086/mcp-agent-toolkit>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "shubham0086-mcp-agent-toolkit"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/shubham0086-mcp-agent-toolkit` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/shubham0086-mcp-agent-toolkit/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt