Topic: mcp
13,395 skills in this topic.
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wren-quickstart
End-to-end quickstart for Wren Engine — create a workspace, generate an MDL from a live database, save it as a versioned project, start the Wren MCP Docker container, and verify the setup with a health check. Trigger when a user wants to set up Wren Engine from scratch, onboard a new data source, or get started with Wren MCP. Requires dependent skills already installed (use /wren-usage to install them first).
Canner/wren-engine 639
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wren-mcp-setup
Set up Wren Engine MCP server via Docker and register it with an AI agent. Covers pulling the Docker image, running the container with docker run, mounting a workspace, configuring connection info via the Web UI (with Docker host hint), registering the MCP server in Claude Code (or other MCP clients) using streamable-http transport, and starting a new session to interact with Wren MCP. Trigger when a user wants to run Wren MCP in Docker, configure Claude Code MCP, or connect an AI client to a Dockerized Wren Engine.
Canner/wren-engine 639
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wren-usage
Wren Engine CLI workflow guide for AI agents. Answer data questions end-to-end using the wren CLI: gather schema context, recall past queries, write SQL through the MDL semantic layer, execute, and learn from confirmed results. Use when: user asks a data question, requests a report or analysis, asks about metrics, revenue, customers, orders, trends, or any business data; user says 'how many', 'show me', 'what is the', 'top N', 'compare', 'trend', 'growth', 'breakdown'; user wants to explore, analyze, filter, aggregate, or summarize data from a database; agent needs to query data, connect a data source, handle errors, or manage MDL changes via the wren CLI.
Canner/wren-engine 639
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wren-generate-mdl
Generate a Wren MDL project by exploring a database with available tools (SQLAlchemy, database drivers, MCP connectors, or raw SQL). Guides agents through schema discovery, type normalization, and MDL YAML generation using the wren CLI. Use when: user wants to create or set up a new MDL, onboard a new data source, or scaffold a project from an existing database.
Canner/wren-engine 639
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brainstorm
Run multi-round AI brainstorming debates between multiple LLM providers (GPT, DeepSeek, Groq, Ollama). Claude actively participates as a debater alongside external models. Use when the user wants diverse perspectives, multi-model critiques, or synthesized answers from several AI models working together.
spranab/brainstorm-mcp 54
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mcp-docs
Fetch live MCP specification and docs from modelcontextprotocol.io. Training data may be outdated — default to using this skill when the query touches MCP protocol in any way. Trigger for: implementing or debugging MCP features (sampling, elicitation, completion, tools, resources, prompts, transports); SEPs or spec requirements; MCP transport behavior (SSE, Streamable HTTP, reconnection, retry); authorization/OAuth; conformance test failures; capability negotiation; message schemas. Skip only for pure Kotlin, build system, or refactoring tasks with zero MCP protocol dependency. When in doubt, trigger.
modelcontextprotocol/kotlin-sdk 1,331
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kdoc
Add KDoc documentation to Kotlin public API. Use whenever the user asks to document Kotlin code, add KDoc, generate API docs, mentions undocumented public declarations, or wants to improve existing documentation. Also trigger when the user says 'add docs', 'document this class/file/module', 'write KDoc', or asks about missing documentation in Kotlin code.
modelcontextprotocol/kotlin-sdk 1,331
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idea-check
Pre-build reality check. Scans GitHub, HN, npm, PyPI, and Product Hunt for existing competitors before you build. Use when starting a new project, evaluating a side project idea, or doing a build-vs-buy decision.
mnemox-ai/idea-reality-mcp 593
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add-strategy
Create a new trading strategy for the ai-trader backtesting framework. Handles file creation, registration, docstrings, and backtest scaffolding.
whchien/ai-trader 591
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release-dbt-mcp
Release a new version of dbt-mcp to PyPi
dbt-labs/dbt-mcp 534
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rag-rlm
Computational analysis of the knowledge base via code execution in a sandboxed Python interpreter. Use for questions requiring counting, aggregation, statistics, data traversal, comparison across documents, or any task best answered by writing Python code. Examples: "how many pages?", "compare table 3 across documents", "calculate average word count", "extract all email addresses".
ggozad/haiku.rag 510
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rag
Search, retrieve and analyze documents using RAG (Retrieval Augmented Generation).
ggozad/haiku.rag 510
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biomcp
Search and retrieve biomedical data - genes, variants, clinical trials, articles, drugs, diseases, pathways, proteins, adverse events, pharmacogenomics, and phenotype-disease matching. Use for gene function, variant pathogenicity, trials, drug safety, pathway context, disease workups, and literature evidence.
genomoncology/biomcp 488
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webclaw
Web extraction engine with antibot bypass. Scrape, crawl, extract, summarize, search, map, diff, monitor, research, and analyze any URL — including Cloudflare-protected sites. Use when you need reliable web content, the built-in web_fetch fails, or you need structured data extraction from web pages.
0xMassi/webclaw 478
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docfork-docs
Retrieves up-to-date documentation for any third-party library, framework, or API where training data may be outdated or incomplete. Use when the user asks about library usage, API references, configuration, or code generation involving specific packages. Prefer over training data when accuracy or recency matters.
docfork/docfork 460
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docfork-docs
Retrieves up-to-date documentation for any third-party library, framework, or API where training data may be outdated or incomplete. Use when the user asks about library usage, API references, configuration, or code generation involving specific packages. Prefer over training data when accuracy or recency matters.
docfork/docfork 460
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roam
Codebase comprehension via roam-code CLI. Use when exploring codebases, planning modifications, debugging failures, assessing PR risk, or checking architecture health. Triggers on: understanding project structure, pre-change safety checks, finding symbols/files, blast radius analysis, affected tests, health scoring, refactoring guidance, code review. Requires roam-code installed (`pip install roam-code`) and an indexed project (`roam init`).
Cranot/roam-code 449
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release
nwiizo/tfmcp 361
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add-mcp-tools
Guide for adding new MCP tools with consistent patterns for schemas, tool definitions, registry updates, and Better Auth integration
decocms/studio 357
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review-plan
Spawn parallel subagents to criticize implementation plans from multiple perspectives (duplication, correctness, security, performance, testing, architecture, scope), then improve the plan based on feedback. Use when reviewing a plan before implementation or when stress-testing a plan for gaps.
decocms/studio 357
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commit
Prepare code for review by running quality checks, creating conventional commits, and opening pull requests. Use when the user wants to commit changes, create a PR, prepare for code review, or asks to commit their work.
decocms/studio 357
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review-pr
Analyze the git diff between the current branch and main from multiple perspectives (duplication, correctness, security, performance, testing, architecture, scope) using parallel subagents, then produce a remediation plan for issues found. Use when reviewing branch changes before merge, after implementation, or when the user asks to critique or review current code changes.
decocms/studio 357
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respond-to-pr-review
Use when PR review comments need to be processed and responded to, when the user says "respond to review", "handle PR comments", "address review feedback", or after receiving code review on a pull request
decocms/studio 357
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azure-devops-rest-api
Guide for working with Azure DevOps REST APIs and OpenAPI specifications. Use this skill when implementing new Azure DevOps API integrations, exploring API capabilities, understanding request/response formats, or referencing the official OpenAPI specifications from the vsts-rest-api-specs repository.
Tiberriver256/mcp-server-azure-devops 357