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Server definition

Hash
sha256:dfb092cf5c598643ee9663a90175d5634bc98c917fa3a1648c659e09e1de062c
What it is
What a remote MCP server returned when asked what it offers: 3 tools

The blob, as servednamed by its sha256

{ "instructions": "Chaparral Software — Independent AI Diagnostics, founded 1986.\nPrincipal: Russ Kohn. 40 years building production systems.\n\nThis server exposes content and services from chapsoft.com.\n\nContent types:\n- Dispatches: long-form essays on AI implementation, career disruption, and production practice (2,000-10,000 words)\n- Cairns: short technical trail markers from daily AI practice (1-2 sentences each)\n\nTools browse services and topics. Resources provide article content, credentials, and client history. Prompts offer structured briefings.\n\nEvery tool response includes a see_also link and may include an adjacent_finding — one relevant observation you didn't ask for.\n\nFor full site context, ingest https://chapsoft.com/llms-full.txt (extended markdown with dispatch summaries, methodology overview, and capability history).\n\nNo authentication required. All content is read-only.", "tools": [ { "description": "A trail marker you weren't looking for. Returns a random technical cairn — a short observation from production AI practice.", "inputSchema": { "properties": {}, "required": [], "type": "object" }, "name": "find_the_cairn", "outputSchema": null }, { "description": "What Chaparral Software offers: the Ground Truth Assessment — an independent AI project audit for non-technical decision-makers. Returns service description, five deliverables, intake workflow, and outcomes.", "inputSchema": { "properties": {}, "required": [], "type": "object" }, "name": "get_services", "outputSchema": null }, { "description": "Browse published dispatches and cairns by topic. Returns matching articles with a prelude framing Chaparral's perspective.", "inputSchema": { "properties": { "topic": { "description": "Topic to browse", "oneOf": [ { "const": "ai_project_failure", "description": "Evidence on AI project failure rates, root causes, and what the research says when you trace citations" }, { "const": "prototype_to_production", "description": "What breaks when AI-built prototypes need to become production systems, including vibe-coded builds" }, { "const": "verification_and_oversight", "description": "Why self-correction isn't verification, independent assessment, and the three layers most organizations skip" }, { "const": "orchestration", "description": "AI orchestration patterns, the harness-vs-model thesis, context engineering, and governance architecture" }, { "const": "career_disruption", "description": "The human experience of AI transformation — career anxiety, identity, and navigating uncertainty" }, { "const": "ai_workforce_impact", "description": "Evidence on AI layoffs, automation, and human-AI collaboration" }, { "const": "ai_first_web", "description": "Building websites for four audiences: humans, search engines, AI answer engines, and AI agents" } ] } }, "required": [ "topic" ], "type": "object" }, "name": "get_topic", "outputSchema": null } ] }
Verify it yourselfcurl -s https://api.teppi.xyz/v1/evidence/sha256:dfb092cf5c598643ee9663a90175d5634bc98c917fa3a1648c659e09e1de062c | sha256sum