Tencent SkillHub · Developer Tools

Mcp Integration

Use Model Context Protocol servers to access external tools and data sources. Enable AI agents to discover and execute tools from configured MCP servers (legal databases, APIs, database connectors, weather services, etc.).

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Install for OpenClaw

Quick setup

Download the package from Yavira.
Extract the archive and review SKILL.md first.
Import or place the package into your OpenClaw setup.

Requirements

Target platform: OpenClaw
Install method: Manual import
Extraction: Extract archive
Prerequisites: OpenClaw
Primary doc: SKILL.md

Package facts

Download mode: Yavira redirect
Package format: ZIP package
Source platform: Tencent SkillHub
What's included: README.md, SKILL.md, config/openclaw.plugin.json, docs/API.md, docs/CONFIGURATION.md, docs/EXAMPLES.md

Validation

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Review SKILL.md after the package is downloaded.
Confirm the extracted package contains the expected setup assets.

Install with your agent

Agent handoff

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New install

I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Then review README.md for any prerequisites, environment setup, or post-install checks. Tell me what you changed and call out any manual steps you could not complete.

Upgrade existing

I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Then review README.md for any prerequisites, environment setup, or post-install checks. Summarize what changed and any follow-up checks I should run.

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Trust & source

Release facts

Source: Tencent SkillHub
Verification: Indexed source record
Version: 0.1.1

Provenance

Publisher: lunarpulse
Source page: View original listing
Canonical URL: Open canonical page

Documentation

ClawHub primary doc Primary doc: SKILL.md 19 sections Open source page

Overview

Use the MCP integration plugin to discover and execute tools provided by external MCP servers. This skill enables you to access legal databases, query APIs, search databases, and integrate with any service that provides an MCP interface. The plugin provides a unified mcp tool with two actions: list - Discover available tools from all connected servers call - Execute a specific tool with parameters

1.1 Check Available Tools

Always start by listing available tools to see what MCP servers are connected and what capabilities they provide. Action: { tool: "mcp", args: { action: "list" } } Response structure: [ { "id": "server:toolname", "server": "server-name", "name": "tool-name", "description": "What this tool does", "inputSchema": { "type": "object", "properties": {...}, "required": [...] } } ]

1.2 Understand Tool Schemas

For each tool, examine: id: Format is "server:toolname" - split on : to get server and tool names description: Understand what the tool does inputSchema: JSON Schema defining parameters properties: Available parameters with types and descriptions required: Array of mandatory parameter names

1.3 Match Tools to User Requests

Common tool naming patterns: search_* - Find or search operations (e.g., search_statute, search_users) get_* - Retrieve specific data (e.g., get_statute_full_text, get_weather) query - Execute queries (e.g., database:query) analyze_* - Analysis operations (e.g., analyze_law) resolve_* - Resolve references (e.g., resolve_citation)

2.1 Validate Parameters

Before calling a tool: Identify all required parameters from inputSchema.required Verify parameter types match schema (string, number, boolean, array, object) Check for constraints (minimum, maximum, enum values, patterns) Ensure you have necessary information from the user

2.2 Construct Tool Call

Action: { tool: "mcp", args: { action: "call", server: "<server-name>", tool: "<tool-name>", args: { // Tool-specific parameters from inputSchema } } } Example - Korean legal search: { tool: "mcp", args: { action: "call", server: "kr-legal", tool: "search_statute", args: { query: "연장근로 수당", limit: 5 } } }

2.3 Parse Response

Tool responses follow this structure: { "content": [ { "type": "text", "text": "JSON string or text result" } ], "isError": false } For JSON responses: const data = JSON.parse(response.content[0].text); // Access data.result, data.results, or direct properties

3.1 Chain Tool Calls

For complex requests, execute multiple tools in sequence: Example - Legal research workflow: Search - search_statute to find relevant laws Retrieve - get_statute_full_text for complete text Analyze - analyze_law for interpretation Precedents - search_case_law for related cases Each step uses output from the previous step to inform the next call.

3.2 Maintain Context

Between tool calls: Extract relevant information from each response Use extracted data as parameters for subsequent calls Build up understanding progressively Present synthesized results to user

4.1 Common Errors

"Tool not found: server:toolname" Cause: Server not connected or tool doesn't exist Solution: Run action: "list" to verify available tools Check spelling of server and tool names "Invalid arguments for tool" Cause: Missing required parameter or wrong type Solution: Review inputSchema from list response Ensure all required parameters provided with correct types "Server connection failed" Cause: MCP server not running or unreachable Solution: Inform user service is temporarily unavailable Suggest alternatives if possible

4.2 Error Response Format

Errors return: { "content": [{"type": "text", "text": "Error: message"}], "isError": true } Handle gracefully: Explain what went wrong clearly Don't expose technical implementation details Suggest next steps or alternatives Don't retry excessively

Step 1: Discover tools

{tool: "mcp", args: {action: "list"}} Response shows kr-legal:search_statute with: Required: query (string) Optional: limit (number), category (string)

Step 2: Execute search

{ tool: "mcp", args: { action: "call", server: "kr-legal", tool: "search_statute", args: { query: "연장근로 수당", category: "노동법", limit: 5 } } }

Step 3: Parse and present

const data = JSON.parse(response.content[0].text); // Present data.results to user User-facing response: Found 5 Korean statutes about overtime pay: 1. 근로기준법 제56조 (연장·야간 및 휴일 근로) - Overtime work requires 50% premium 2. 근로기준법 제50조 (근로시간) - Standard working hours: 40 hours per week Would you like me to retrieve the full text of any statute?

List Tools

{tool: "mcp", args: {action: "list"}}

Call Tool

{ tool: "mcp", args: { action: "call", server: "server-name", tool: "tool-name", args: {param1: "value1"} } }

Essential Patterns

Tool ID parsing: "server:toolname" → split on : for server and tool names Parameter validation: Check inputSchema.required and inputSchema.properties[param].type Response parsing: JSON.parse(response.content[0].text) for JSON responses Error detection: Check response.isError === true

Core Documentation

Plugin README: README.md - Installation and configuration Real Example: REAL_EXAMPLE_KR_LEGAL.md - Working kr-legal setup API Reference: API.md - Technical API details Configuration: CONFIGURATION.md - Server configuration guide Troubleshooting: TROUBLESHOOTING.md - Common issues and solutions

Usage Examples

Examples Collection: EXAMPLES.md - 13 real-world examples including: Legal research workflows Database queries Weather service integration Multi-step complex workflows Error handling patterns Remember: Always start with action: "list" when uncertain about available tools.

Category context

Code helpers, APIs, CLIs, browser automation, testing, and developer operations.

Source: Tencent SkillHub

Largest current source with strong distribution and engagement signals.

Package contents

Included in package

5 Docs1 Config

SKILL.md Primary doc
docs/API.md Docs
docs/CONFIGURATION.md Docs
docs/EXAMPLES.md Docs
README.md Docs
config/openclaw.plugin.json Config