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 yourself
curl -s https://api.teppi.xyz/v1/evidence/sha256:dfb092cf5c598643ee9663a90175d5634bc98c917fa3a1648c659e09e1de062c | sha256sum