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Topic: mcp

13,395 skills in this topic.

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
wren-http-api Interact with Wren Engine MCP server via plain HTTP JSON-RPC requests — no MCP client SDK required. Covers session initialization, tool discovery, and calling all 20+ Wren tools (query, deploy, metadata, health check) using standard HTTP POST with JSON-RPC 2.0 payloads. Use when the client cannot or prefers not to use the MCP protocol directly (e.g. OpenClaw, custom HTTP clients, shell scripts, or any environment without an MCP SDK).
Canner/wren-engine 639
wren-generate-mdl Generate a Wren MDL manifest from a database using ibis-server metadata endpoints. Use when a user wants to create or set up a new Wren MDL, scaffold a manifest from an existing database, or onboard a new data source without installing any database drivers locally.
Canner/wren-engine 639
wren-connection-info Reference guide for Wren Engine connection info — explains required fields for all 18 supported data sources (PostgreSQL, MySQL, BigQuery, Snowflake, ClickHouse, Trino, DuckDB, Databricks, Spark, Athena, Redshift, Oracle, SQL Server, Apache Doris, S3, GCS, MinIO, local files). Covers sensitive field handling, Docker host hints, and BigQuery credential encoding. Use when the user asks how to configure a data source connection or what fields to fill in.
Canner/wren-engine 639
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
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 Training data may be outdated — default to using this skill when the query touches MCP protocol in any way.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
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
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
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
release-dbt-mcp Release a new version of dbt-mcp to PyPi
dbt-labs/dbt-mcp 534
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
rag Search, retrieve and analyze documents using RAG (Retrieval Augmented Generation).
ggozad/haiku.rag 510
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
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
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
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
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
release
nwiizo/tfmcp 361
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
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
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
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
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
skill-creator Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Claude's capabilities with specialized knowledge, workflows, or tool integrations.
Tiberriver256/mcp-server-azure-devops 357