# mcp-agent-toolkit

> mcp-agent-toolkit — naomytcheums-dotcom-mcp-agent-toolkit. Use this tool when you need to query financial documents or propose code fixes through natural language. The mcp-agent-toolkit solves problems related to searching SEC 10-K filings and generating test-verified code fixes, taking natural language inputs and returning relevant search results and proposed code fixes as outputs. It is ideal for use cases where MCP clients, such as Claude Desktop, require hybrid search and AI-powered bug-fixing capabilities.

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

## Description

An MCP server exposing hybrid RAG search over SEC 10-K filings and an AI bug-fixing agent as callable tools, enabling MCP clients like Claude Desktop to query financial documents and propose test-verified code fixes through natural language.

## Trust

- **Trust score (0–1):** 0.67
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/o56t0m58c2)
- **Repository:** <https://github.com/naomytcheums-dotcom/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": "naomytcheums-dotcom-mcp-agent-toolkit"
    }
  }
}
```

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