discover-mcp
Automatically discover MCP (Model Context Protocol) skills when building MCP servers, designing tools, implementing resources/prompts, or testing MCP integrations. Activates for MCP server development tasks.
- Installs
- 82
- Last 24h
- —
- Trending rank
- —
- Security
- Not audited
Install
Works with every agent the skills CLI supports.
npx skills add https://github.com/rand/cc-polymath --skill discover-mcp- 01
Install
Run the command in your project. The CLI asks which agents to install for.
- 02
Describe the task
Ask your agent for something this skill covers. It loads discover-mcp automatically when relevant.
- 03
Review the result
The agent follows the SKILL.md steps, scripts and references bundled with the skill.
SKILL.md
The instructions your agent reads when the skill is triggered.
MCP Skills Discovery
Provides automatic access to comprehensive MCP server development, tool design, and testing skills.
When This Skill Activates
This skill auto-activates when you're working with:
- Building MCP servers (TypeScript or Python)
- Designing MCP tools, resources, or prompts
- Choosing MCP transports (stdio, SSE, Streamable HTTP)
- Implementing JSON-RPC 2.0 over MCP
- Testing MCP servers with Inspector or automated tests
- Debugging MCP protocol or transport issues
- Publishing or deploying MCP servers
Available Skills
Quick Reference
The MCP category contains 3 specialized skills:
- mcp-server-fundamentals - Architecture, transports, tools/resources/prompts primitives, SDK setup
- mcp-tool-design - Tool naming, schemas, error handling, annotations, progressive disclosure
- mcp-testing - Inspector, unit tests, integration tests, transport debugging, CI/CD
Load Full Category Details
For complete descriptions and workflows:
Read ../mcp/INDEX.md
This loads the full MCP category index with:
- Detailed skill descriptions
- Usage triggers for each skill
- Common workflow combinations
- Cross-references to related skills
Load Specific Skills
Load individual skills as needed:
Server architecture and setup
Read ../mcp/mcp-server-fundamentals.md
Tool design and best practices
Read ../mcp/mcp-tool-design.md
Testing and debugging
Read ../mcp/mcp-testing.md
Common Workflows
New MCP Server
Sequence: Fundamentals -> Tool Design -> Testing
Read ../mcp/mcp-server-fundamentals.md # Architecture, transport, SDK Read ../mcp/mcp-tool-design.md # Design tool interfaces Read ../mcp/mcp-testing.md # Test with Inspector, CI
Adding Tools to Existing Server
Sequence: Tool Design -> Testing
Read ../mcp/mcp-tool-design.md # Naming, schemas, errors Read ../mcp/mcp-testing.md # Test new tools
Debugging MCP Issues
Sequence: Testing -> Fundamentals
Read ../mcp/mcp-testing.md # Inspector, transport debugging Read ../mcp/mcp-server-fundamentals.md # Lifecycle, capabilities
Integration with Other Skills
MCP skills commonly combine with:
API skills (discover-api):
- MCP servers wrapping REST or GraphQL APIs
- Authentication for MCP tool backends
Testing skills (discover-testing):
- Comprehensive test strategies
- Contract testing patterns
Infrastructure skills (discover-infra, discover-cloud):
- Deploying MCP servers
- Scaling HTTP transports
Progressive Loading
This gateway skill (~170 lines, ~1.5K tokens) enables progressive loading:
- Level 1: Gateway loads automatically (you're here now)
- Level 2: Load category INDEX.md (~2.5K tokens) for full overview
- Level 3: Load specific skills (~2-3K tokens each) as needed
Total context: 1.5K + 2.5K + skill(s) = 4-8K tokens vs 12K+ for everything.
Quick Start Examples
"Build an MCP server": Read ../mcp/mcp-server-fundamentals.md
"Design MCP tools for my API": Read ../mcp/mcp-tool-design.md
"Test my MCP server": Read ../mcp/mcp-testing.md
"Debug why my MCP tool isn't showing up": Read ../mcp/mcp-testing.md
Next Steps: Run Read ../mcp/INDEX.md to see full category details, or load specific skills using the commands above.
FAQ
What does the discover-mcp skill do?
Automatically discover MCP (Model Context Protocol) skills when building MCP servers, designing tools, implementing resources/prompts, or testing MCP integrations. Activates for MCP server development tasks.
How do I install discover-mcp?
Run npx skills add https://github.com/rand/cc-polymath --skill discover-mcp in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/discover-mcp/ (personal) or .claude/skills/discover-mcp/ (project).
Which AI agents can use discover-mcp?
Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.
Is discover-mcp safe to install?
No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.
Who maintains discover-mcp?
It is published by rand in rand/cc-polymath. It has 82 recorded installs.
More from rand/cc-polymath
anti-slop
rand/cc-polymath
Comprehensive toolkit for detecting and eliminating "AI slop" - generic, low-quality AI-generated patterns in natural language, code, and design. Use when reviewing or improving content quality, preventing generic AI patterns, cleaning up existing content, or enforcing quality standards in writing, code, or design work.
discover-frontend
rand/cc-polymath
Automatically discover frontend development skills when working with React, Next.js, UI components, state management, data fetching, forms, accessibility, performance optimization, or SEO. Activates for frontend web development tasks.
discover-research
rand/cc-polymath
Automatically discover research methodology skills when working with research methodology, literature review, systematic review, evidence synthesis, academic research, or experimental design. Activates for research tasks.
discover-math
rand/cc-polymath
Automatically discover mathematics and algorithm skills when working with linear algebra, calculus, optimization, statistics, probability, numerical methods, category theory, or topology. Activates for math development tasks.
discover-ml
rand/cc-polymath
Automatically discover machine learning and AI skills when working with machine learning, PyTorch, training, inference, RAG, embeddings, fine-tuning, LLM, DSPy, HuggingFace, or diffusion models. Activates for ML development tasks.
Popular ai & agents skills
google-agents-cli-publish
google/agents-cli
This skill should be used when the user wants to "publish an agent", "publish my ADK agent", "register an agent with Gemini", "publish to Gemini" (formerly Gemini Enterprise), or needs guidance on the agents-cli publish gemini command. Also use when the user wants to "manage agents in Agent Registry", "list/update/delete registered agents", or "register an MCP server". Covers ADK vs A2A registration modes, programmatic and interactive usage, flag reference, auto-detection from deployment metadata, Agent Registry fleet management, and troubleshooting. Part of the agents-cli skills suite. Do NOT use for deployment (use google-agents-cli-deploy).
google-agents-cli-eval
google/agents-cli
This skill should be used when the user wants to "run an evaluation", "evaluate my agent", "evaluate my ADK agent", "write an eval dataset", "analyze eval failures", "compare eval results", "optimize agent", or needs guidance on the Gemini platform eval methodology and the Quality Flywheel. Covers eval metrics, dataset schema, LLM-as-judge scoring, and common failure causes. Applies to any agents-cli project, whatever framework the agent is written in. Do NOT use for agent API code patterns (ADK: use google-agents-cli-adk-code), deployment (use google-agents-cli-deploy), or project scaffolding (use google-agents-cli-scaffold).
skill-creator
anthropics/skills
Create new skills, modify and improve existing skills, and measure skill performance. Use when users want to create a skill from scratch, edit, or optimize an existing skill, run evals to test a skill, benchmark skill performance with variance analysis, or optimize a skill's description for better triggering accuracy.
codex-pet
prime-skills/runcomfy-agent-skills
Codex Pet generator on RunComfy. Build a Codex-compatible Codex Pet spritesheet.webp + pet.json from a single reference image, drop it into ${CODEXHOME:-$HOME/.codex}/pets/ / and Codex picks it up as a custom Codex Pet next to the 8 built-ins. This skill produces the exact Codex Pet atlas Codex expects (1536x1872 PNG/WebP, 8 cols x 9 rows, 192x208 cells, 9 animation states — idle, running-right, running-left, waving, jumping, failed, waiting, running, review). Calls OpenAI GPT Image 2 edit ONCE via the local RunComfy CLI as runcomfy run openai/gpt-image-2/edit to produce a canonical Codex Pet pose, then assembles all 9 animation rows programmatically with ImageMagick micro-transforms — no Codex Pro, no $imagegen, no OPENAIAPIKEY required, only RUNCOMFYTOKEN. Triggers on "codex pet", "create codex pet", "make codex pet", "hatch codex pet", "/hatch image", "desktop pet codex", "codex pets", "spritesheet.webp", or any explicit ask to build a custom pet for OpenAI Codex.
full-output-enforcement
leonxlnx/taste-skill
Overrides default LLM truncation behavior. Enforces complete code generation, bans placeholder patterns, and handles token-limit splits cleanly. Apply to any task requiring exhaustive, unabridged output.
executing-plans
obra/superpowers
Use when executing an implementation plan in the current session as the implementer yourself — your human partner chose inline execution, or no subagent tool is available