"Blueprint" matching MCP servers:

A Python MCP server for hypothesis-driven data analysis, managing analysis designs, data catalogs, and review workflows through Claude Code or any MCP-compatible client.

An MCP server that enables AI assistants to control a real browser with your existing sessions and extensions, avoiding bot detection and authentication hurdles.

Provides a blueprint for building and deploying Python MCP servers on Oracle Cloud Infrastructure, with sample tools for database schema and data retrieval.

Enables LLMs to author, validate, and render Blueprint Chart (.bpc) files with structured dataviz pedagogy and a tight parse + render feedback loop.

Deploys a Model Context Protocol (MCP) server on Azure with industry-specific templates, sample data, and pre-configured tools for AI agents to query and manage resources.

A blueprint for building Python MCP servers using FastMCP, with uv for dependency management and ruff for code quality, enabling rapid development of MCP tools, resources, and prompts.

Formats approved statement of work content into a branded Word document, callable as a tool from a Copilot Studio chatbot.

Enables deploying pre-built AI agent blueprints for RFx procurement and employee onboarding, with no signup or API key required.

Enables access to Kamai construction-blueprint projects, blueprints, and takeoffs through tools and interactive widgets.

Enables Discord server inspection, structural editing, blueprint-based setup and audit, with read/write tools and dry-run safety.

Enables agent settlement, trust verification, and ledger operations for multi-agent workflows, with tools for blueprint management, credit tracking, and provenance recording.

Two MCP endpoints for building cognitive AI agents. /blueprint/mcp serves a 9-chapter architecture blueprint (4 tools). /devops/mcp serves a 7-chapter coding agent playbook (3 tools). Each product has its own Gumroad license key. Free chapters available without auth.

Enables AI agents and clients to delegate deterministic operations such as calculations, validation, parameterized queries, and tool execution to a FastMCP-backed service, reducing token usage and hallucinations while supporting local, tunneled, or Cloudflare Edge deployments.