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mcp-servers

Universal patterns for using MCP (Multi-Client Protocol) servers in agentic workflows

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jr2804/mcp-config-converter
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9 de enero de 2026 a las 00:36
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SKILL.md
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name
mcp-servers
description
Universal patterns for using MCP (Multi-Client Protocol) servers in agentic workflows
license
MIT
compatibility
opencode
metadata
{"related_issue_tracking":"For task management with MCP servers, use skill `issue-tracking`","related_knowledge_management":"For memory and knowledge storage, use skill `knowledge-management`"}
# MCP Servers ## What I Do Provide universal patterns and best practices for integrating MCP servers into agentic workflows across different projects and domains. ## Universal MCP Server Patterns ### Server Discovery and Selection - Keep the authoritative list of servers in `.vscode/mcp.json` and audit it whenever project needs change - Document server capabilities (inputs, outputs, limitations) so agents can choose correctly without probing - Verify availability early by issuing lightweight health or `list_*` commands rather than waiting for first real use - Prefer a small, purposeful tool set to keep the assistant's tool offers focused and predictable ### Common MCP Server Types | Server Type | Typical Use Cases | Integration Pattern | | --- | --- | --- | | `memorygraph` | Long-term knowledge storage | `recall_memories(query="project-specific knowledge")` | | `beads-mcp` | Issue tracking | `bd ready --json` | | `sequential-thinking` | Complex problem analysis | Multi-step thought process | | `desktop-commander` | File operations | Unified file system interface | | `serena` | Semantic code operations | Symbol-level code retrieval and editing | | `fetch` | Web content ingestion | `fetch(url="https://example.com")` | | `gh_grep` | Public GitHub code search | Query literal or regex patterns across repos | | `upstash-context7` | Documentation recall | Natural language queries over curated doc sets | ### Simple Utility Servers These lightweight servers complement the core development stack without overwhelming the assistant: - **fetch** — Retrieves up-to-date web content (HTML, markdown, raw text). Use it for vendor docs or standards that change frequently. - **gh_grep** — Mirrors `grep.app` functionality for discovering real-world code snippets. Use literal or regex queries to find idiomatic usage. - **upstash-context7** — Provides semantic retrieval across curated documentation (e.g., vendor APIs, SDK guides). Query with natural language to ground decisions in official sources. ### Integration Best Practices 1. **Context Management**: Always load project context before using MCP servers 1. **Error Handling**: Implement graceful fallbacks when servers are unavailable 1. **Performance**: Cache frequently used server responses 1. **Security**: Validate server responses before processing ## When to Use Me Use this skill when: - Setting up MCP server integrations in new projects - Standardizing agent tool usage across multiple projects - Creating reusable agent workflows - Implementing cross-project knowledge sharing ## Universal Examples ### Memory Graph Integration ```python # Universal memory storage pattern store_memory( type="solution", title="Cross-project solution pattern", content="Reusable approach for X", tags=["universal", "pattern"], importance=0.8 ) # Universal memory recall memories = recall_memories( query="reusable patterns", memory_types=["solution", "pattern"] ) ``` ### Issue Tracking Workflow ```python # Universal issue creation issue = bd_create( title="Implement universal pattern", description="Create reusable component for X", issue_type="feature", priority=1 ) # Universal issue management bd_update(issue.id, status="in_progress") ``` ## Compatibility Notes This skill is designed to work with: - OpenCode agent framework - Claude-compatible MCP clients - Any project using MCP servers - Cross-project knowledge sharing workflows
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