Sponsored by Deepsite.site

Pituitary

Created By
autholykosa month ago
Catch spec drift before it catches you. Pituitary indexes your specs, docs, and decision records, then detects overlap, contradictions, stale docs, and code that drifts from what was decided. 6 tools for spec-aware AI workflows: - search_specs: semantic search across indexed spec sections - check_overlap: detect specs that cover overlapping ground - compare_specs: side-by-side tradeoff analysis of two specs - analyze_impact: trace which specs, docs, and code paths are affected when a spec changes - check_doc_drift: find docs that contradict accepted specs - review_spec: full composite review (overlap + comparison + impact + drift + remediation) Single Go binary. One SQLite file. No API keys required. Deterministic by default.
Content

What it does

Point Pituitary at your repo. It indexes your specs, docs, and decision records, then catches what you can't track by hand. What you wrote down should still be true. Pituitary makes sure it is.

Tools

ToolDescription
search_specsSemantic search across indexed spec sections. Filter by domain and status.
check_overlapDetect specs that cover overlapping ground. Returns similarity scores and relationship classification.
compare_specsSide-by-side tradeoff analysis of two specs.
analyze_impactTrace which specs, code refs, and docs are affected when a spec changes.
check_doc_driftFind docs that have gone stale relative to accepted specs, with cited evidence.
review_specFull composite review: overlap + comparison + impact + drift + remediation.

Requirements

  • Pituitary binary on PATH (download from GitHub Releases)
  • A config file (generate one with pituitary init --path .)
  • A built index (pituitary index --rebuild)

No API keys required in deterministic mode.

Use cases

  • PR review: Agent calls check_overlap and analyze_impact when a PR touches specs or decision records
  • Pre-merge drift check: Agent calls check_doc_drift to surface stale docs before merging
  • Decision authoring: Agent calls review_spec to get a full assessment of a new or changed spec
  • Impact questions: "What specs and docs would be affected if I change the auth middleware?" triggers analyze_impact

Server Config

{
  "mcpServers": {
    "pituitary": {
      "command": "pituitary",
      "args": [
        "serve",
        "--config",
        ".pituitary/pituitary.toml"
      ]
    }
  }
}
Recommend Servers
TraeBuild with Free GPT-4.1 & Claude 3.7. Fully MCP-Ready.
Tavily Mcp
Visual Studio Code - Open Source ("Code - OSS")Visual Studio Code
MiniMax MCPOfficial MiniMax Model Context Protocol (MCP) server that enables interaction with powerful Text to Speech, image generation and video generation APIs.
Playwright McpPlaywright MCP server
EdgeOne Pages MCPAn MCP service designed for deploying HTML content to EdgeOne Pages and obtaining an accessible public URL.
Howtocook Mcp基于Anduin2017 / HowToCook (程序员在家做饭指南)的mcp server,帮你推荐菜谱、规划膳食,解决“今天吃什么“的世纪难题; Based on Anduin2017/HowToCook (Programmer's Guide to Cooking at Home), MCP Server helps you recommend recipes, plan meals, and solve the century old problem of "what to eat today"
CursorThe AI Code Editor
DeepChatYour AI Partner on Desktop
AiimagemultistyleA Model Context Protocol (MCP) server for image generation and manipulation using fal.ai's Stable Diffusion model.
Amap Maps高德地图官方 MCP Server
WindsurfThe new purpose-built IDE to harness magic
Serper MCP ServerA Serper MCP Server
MCP AdvisorMCP Advisor & Installation - Use the right MCP server for your needs
BlenderBlenderMCP connects Blender to Claude AI through the Model Context Protocol (MCP), allowing Claude to directly interact with and control Blender. This integration enables prompt assisted 3D modeling, scene creation, and manipulation.
Baidu Map百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。
ChatWiseThe second fastest AI chatbot™
Zhipu Web SearchZhipu Web Search MCP Server is a search engine specifically designed for large models. It integrates four search engines, allowing users to flexibly compare and switch between them. Building upon the web crawling and ranking capabilities of traditional search engines, it enhances intent recognition capabilities, returning results more suitable for large model processing (such as webpage titles, URLs, summaries, site names, site icons, etc.). This helps AI applications achieve "dynamic knowledge acquisition" and "precise scenario adaptation" capabilities.
Jina AI MCP ToolsA Model Context Protocol (MCP) server that integrates with Jina AI Search Foundation APIs.
RedisA Model Context Protocol server that provides access to Redis databases. This server enables LLMs to interact with Redis key-value stores through a set of standardized tools.
Y GuiA web-based graphical interface for AI chat interactions with support for multiple AI models and MCP (Model Context Protocol) servers.