mcp-management

What the source does

• FilesystemNone observedNo reads or writes in the source
• NetworkNone observedNo outbound calls in the source
• ShellNone observedNo commands run in the source
• DependenciesNot pinnedSome versions float
• SecretsNone foundNo keys in source

Five audit layers

Gates applied: no behavioural pass.

plugins/ai-ml-tools/skills/ai-multimodal

plugins/ai-ml-tools/skills/context-engineering

plugins/ai-ml-tools/skills/google-adk-python

plugins/backend-tools/skills/backend-development

plugins/backend-tools/skills/better-auth

@modelcontextprotocol/sdk, @types/node, typescript, tsx

Audit 0.4.1 · source sha d655ab03f566 · 31 Oct 2026Report an issue or request a re-scan

• Publishermrgoonie GitHub userOwner of the repository this skill is read from
• Source foldermrgoonie/claudekit-skills/.claude/skills/mcp-managementThe exact folder we audited
• LicenceNot declaredAs the repository states it
• Commit pinned for this verdictd655ab03f566A new audit runs when the source changes
• Repository statusNot archivedLast push 210 days ago
• Sandboxed runNot runSkills are read, not executed; layer L4 is skipped

Its description: Manage Model Context Protocol (MCP) servers - discover, analyze, and execute tools/prompts/resources from configured MCP servers. Use when working with MCP integrations, need to discover available MCP capabilities,…

---
name: mcp-management
description: Manage Model Context Protocol (MCP) servers - discover, analyze, and execute tools/prompts/resources from configured MCP servers. Use when working with MCP integrations, need to discover available MCP capabilities, filter MCP tools for specific tasks, execute MCP tools programmatically, access MCP prompts/resources, or implement MCP client functionality. Supports intelligent tool selection, multi-server management, and context-efficient capability discovery.
---

# MCP Management

Skill for managing and interacting with Model Context Protocol (MCP) servers.

## Overview

MCP is an open protocol enabling AI agents to connect to external tools and data sources. This skill provides scripts and utilities to discover, analyze, and execute MCP capabilities from configured servers without polluting the main context window.

**Key Benefits**:
- Progressive disclosure of MCP capabilities (load only what's needed)
- Intelligent tool/prompt/resource selection based on task requirements
- Multi-server management from single config file
- Context-efficient: subagents handle MCP discovery and execution
- Persistent tool catalog: automatically saves discovered tools to JSON for fast reference

## When to Use This Skill

Use this skill when:
1. **Discovering MCP Capabilities**: Need to list available tools/prompts/resources from configured servers
2. **Task-Based Tool Selection**: Analyzing which MCP tools are relevant for a specific task
3. **Executing MCP Tools**: Calling MCP tools programmatically with proper parameter handling
4. **MCP Integration**: Building or debugging MCP client implementations
5. **Context Management**: Avoiding context pollution by delegating MCP operations to subagents

## Core Capabilities

### 1. Configuration Management

MCP servers configured in `.claude/.mcp.json`.

**Gemini CLI Integration** (recommended): Create symlink to `.gemini/settings.json`:
```bash
mkdir -p .gemini && ln -sf .claude/.mcp.json .gemini/settings.json
```

See [references/configuration.md](references/configuration.md) and [references/gemini-cli-integration.md](references/gemini-cli-integration.md).

### 2. Capability Discovery

```bash
npx tsx scripts/cli.ts list-tools  # Saves to assets/tools.json
npx tsx scripts/cli.ts list-prompts
npx tsx scripts/cli.ts list-resources
```

Aggregates capabilities from multiple servers with server identification.

### 3. Intelligent Tool Analysis

LLM analyzes `assets/tools.json` directly - better than keyword matching algorithms.

### 4. Tool Execution

**Primary: Gemini CLI** (if available)
```bash
gemini -y -m gemini-2.5-flash -p "Take a screenshot of https://example.com"
```

**Secondary: Direct Scripts**
```bash
npx tsx scripts/cli.ts call-tool memory create_entities '{"entities":[...]}'
```

**Fallback: mcp-manager Subagent**

See [references/gemini-cli-integration.md](references/gemini-cli-integration.md) for complete examples.

## Implementation Patterns

### Pattern 1: Gemini CLI Auto-Execution (Primary)

Use Gemini CLI for automatic tool discovery and execution. See [references/gemini-cli-integration.md](references/gemini-cli-integration.md) for complete guide.

**Quick Example**:
```bash
gemini -y -m gemini-2.5-flash -p "Take a screenshot of https://example.com"
```

**Benefits**: Automatic tool discovery, natural language execution, faster than subagent orchestration.

### Pattern 2: Subagent-Based Execution (Fallback)

Use `mcp-manager` agent when Gemini CLI unavailable. Subagent discovers tools, selects relevant ones, executes tasks, reports back.

**Benefit**: Main context stays clean, only relevant tool definitions loaded when needed.

### Pattern 3: LLM-Driven Tool Selection

LLM reads `assets/tools.json`, intelligently selects relevant tools using context understanding, synonyms, and intent recognition.

### Pattern 4: Multi-Server Orchestration

Coordinate tools across multiple servers. Each tool knows its source server for proper routing.

## Scripts Reference

### scripts/mcp-client.ts

Core MCP client manager class. Handles:
- Config loading from `.claude/.mcp.json`
- Connecting to multiple MCP servers
- Listing tools/prompts/resources across all servers
- Executing tools with proper error handling
- Connection lifecycle management

### scripts/cli.ts

Command-line interface for MCP operations. Commands:
- `list-tools` - Display all tools and save to `assets/tools.json`
- `list-prompts` - Display all prompts
- `list-resources` - Display all resources
- `call-tool <server> <tool> <json>` - Execute a tool

**Note**: `list-tools` persists complete tool catalog to `assets/tools.json` with full schemas for fast reference, offline browsing, and version control.

## Quick Start

**Method 1: Gemini CLI** (recommended)
```bash
npm install -g gemini-cli
mkdir -p .gemini && ln -sf .claude/.mcp.json .gemini/settings.json
gemini -y -m gemini-2.5-flash -p "Take a screenshot of https://example.com"
```

**Method 2: Scripts**
```bash
cd .claude/skills/mcp-management/scripts && npm install
npx tsx cli.ts list-tools  # Saves to assets/tools.json
npx tsx cli.ts call-tool memory create_entities '{"entities":[...]}'
```

**Method 3: mcp-manager Subagent**

See [references/gemini-cli-integration.md](references/gemini-cli-integration.md) for complete guide.

## Technical Details

See [references/mcp-protocol.md](references/mcp-protocol.md) for:
- JSON-RPC protocol details
- Message types and formats
- Error codes and handling
- Transport mechanisms (stdio, HTTP+SSE)
- Best practices

## Integration Strategy

### Execution Priority

1. **Gemini CLI** (Primary): Fast, automatic, intelligent tool selection
   - Check: `command -v gemini`
   - Execute: `gemini -y -m gemini-2.5-flash -p "<task>"`
   - Best for: All tasks when available

2. **Direct CLI Scripts** (Secondary): Manual tool specification
   - Use when: Need specific tool/server control
   - Execute: `npx tsx scripts/cli.ts call-tool <server> <tool> <args>`

3. **mcp-man

Excerpt, first 6,000 characters of SKILL.md, verbatim from the audited commit. It is text from someone else’s repository, quoted so you can judge it before your agent reads it.

1. 2026-10-31
   !CAUTION B 88 / 100

   first audit · source d655ab03f566

Questions about mcp-management

• github.com/mrgoonie/claudekit-skills/tree/main/.claude/skills/mc — the audited source at commit d655ab03f566 and every finding aboveObserved · 31 Oct 2026

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