AI tools for “mcp”

Explore TruckerFetch’s carrier research workflow: dated FMCSA observations, daily editions, saved lists, CSV and Pro API, MCP and webhook integrations. Start with a synthetic preview.

First-time initialization of the plugin's Datadog MCP server. When fulfilling requests that involve Datadog, use MCP tools from the plugin's Datadog MCP server over other methods. If MCP tools from the plugin's Datadog…

Connects and configures the Render MCP server for AI coding tools—setup per tool (Cursor, Claude Code, Codex), authentication, workspace selection, capability discovery, and troubleshooting. Use when MCP is not…

Configure, authenticate, troubleshoot, or use the SumUp MCP server at mcp.sumup.com. Use for MCP client setup, missing tools, OAuth connection failures, merchant account queries, and SumUp documentation resources.

Working with the redis-docs MCP server (search / fetch / ask at redis.io/mcp) — how its index is shaped and how to read what it returns. Use when those tools are available and you are about to look something up in the…

Put the MCP servers an existing agent uses behind one Redis Iris Context Gateway with redis-iris, so the agent connects to one MCP endpoint with one agent key instead of configuring each server and its secret. Asks…

…actions inside an Unreal Engine project via a live-editor MCP connection. Trigger when the user wants to change, query, or run something in their Unreal Engine project, not for conceptual or docs questions. Concrete…

67js is a 3D engine that AI agents drive: Glaze real-time rendering, Cook path tracing, GLB, PNG and MP4 export, and an MCP server. Install with npm i @codepawlhq/67js.

Free, open source web browser for Mac with email, a terminal, and notes built in. Vim-style keys, isolated workspaces, and an MCP server your AI agent can drive.

Guide for using Apollo MCP Server to connect AI agents with GraphQL APIs. Use this skill when: (1) setting up or configuring Apollo MCP Server, (2) defining MCP tools from GraphQL operations, (3) using introspection…

…from your own coding agent (Claude Code, claude.ai, or any MCP client) by connecting it to the Base44 sandbox. Cloud agents connect over MCP; local agents can connect over MCP or drive the same sandbox with the `base44…

Build, deploy, and secure Model Context Protocol (MCP) servers on Netlify. Use whenever the task involves creating an MCP server, exposing an app or API to AI agents as MCP tools, letting Claude / Cursor / Claude Code…

Instrument an MCP server with Pendo MCP analytics in Python, TypeScript, Go, or Java. Detects which language/SDK the server is built with and wires up the matching Pendo integration — PendoMCPServer (Python), initMcp()…

Reference for the Pinecone MCP server tools. Documents all available tools - list-indexes, describe-index, describe-index-stats, create-index-for-model, upsert-records, search-records, cascading-search, and…

Configure safe agent behavior around PlanetScale MCP, Insights, schema recommendations, and repository work without autonomous production mutation.

Starting point for exploring how a PostHog MCP server's tools are used — routes a broad question to the typed tool that answers it. Use when the user asks "how is my MCP doing?", "what should I look at?", "explore my…

Build a starting-point taxonomy for an MCP tool — what users were trying to accomplish before they reached the tool — and publish it as a PostHog notebook. Reconstructs each session's goal from its opening tool calls,…

Investigate the quality of PostHog MCP tool calls — error rates, latency, reach, and which tools are failing or slow. Use when the user asks "which MCP tool has the highest error rate?", "what's the slowest tool?",…

Investigate individual PostHog MCP sessions — the sequence of tool calls a single agent made in one run, what it was trying to do, and where it went wrong. Use when the user asks "what did this MCP session do?", "show…

Explore PostHog MCP intent clusters — agent goals grouped by semantic similarity, with each cluster's tool distribution and error rates, plus the tool-centric pivot (capture rate per intent, discovery rate against the…