A content exploration toolkit that helps LLMs surface high signal, unsummarized web content.
Parkour-mcp is an MCP integration. A content exploration toolkit that helps LLMs surface high signal, unsummarized web content.
The published mcpb package is https://github.com/blightbow/parkour-mcp/releases/download/v2.4.0/parkour-mcp.mcpb. Its declared MCP transport is stdio.
Check the maintainer’s instructions for account access, authentication and the supported client configuration. Once connected, inspect the tools your client receives and try a small task that matches the server’s stated purpose. The registry description does not include a verified, complete tool list.
View the publisher’s registry entry · Project repository. This profile uses version 2.4.0 from the registry. Registration identifies the publisher namespace; it does not establish that this is a first-party integration for every service it connects.
Browse related developer tools MCP servers for tools that cover the same kind of work.
Read, search and edit files inside allowed directories with the Model Context Protocol reference Filesystem server.
Retrieve version-aware library documentation and code examples with Context7 MCP, using resolve-library-id and query-docs.
GitHub Enterprise MCP Server with support for repository operations
Production-ready Model Context Protocol server for AI-powered vehicle dealership management
Multi-engine TTS for AI coding assistants. Free, 5 engines, no API key needed.
SEO research, audits, backlinks, GSC, and content workflow tools for AI agents.