AI & Machine Learning
eccaai.com
An AI reasoning and verification MCP server that synthesizes answers across frontier engines, runs adversarial pre-mortems, evaluates decision pathways, measures divergence, and refines student questions.
ENDPOINT 1
https://eccaai.com/api/mcp
MCP server metadata
- Name
- ecca-ai-sovereign-mesh
- Version
- 6.1.0
Known tools 11
ecca_synthesizeCross-examines inquiry across configured frontier engines to synthesize the verified single best answer with measured lexical consensus scoring.
Inferred read-onlyecca_pre_mortemExecutes an adversarial pre-mortem identifying failure modes and early warning indicators using empirical argument verification.
Inferred read-onlyecca_decision_tournamentEvaluates multi-option decision matrix using minimax regret and Pareto ranking over candidate pathways.
Inferred read-onlyecca_bts_divergenceMeasures lexical and semantic divergence across candidate assertions to penalize sycophancy.
Inferred read-onlyecca_refineUse one keyed tier-quota slot to sharpen rough student questions without adding facts; return detected niches and refinement chips.
Inferred read-onlyecca_researchUse one keyed tier-quota slot and dispatch-ceiling reservation to fetch and grade studies from scholarly indexes; return fetched evidence and explicit gaps.
Inferred read-onlyecca_verifyIndependently answer a question and compare the candidate against deterministic panel agreement.
Inferred read-onlyecca_psychologyPsychology research: refine the question, fetch studies, and show named claims before the verdict.
Inferred read-onlyecca_learningLearning and study skills: refine the question, fetch studies, and show named claims before the verdict.
Inferred read-onlyecca_nutritionNutrition and supplements: refine the question, fetch studies, and show named claims before the verdict.
Inferred read-onlyecca_moneyMoney and business: refine the question, fetch studies, and show named claims before the verdict.
Inferred read-onlyCONNECT WITH APPROVAL
Client installation
Review this server and its permissions before adding it. Secret placeholders must be set locally.
Codex
~/.codex/config.toml
[mcp_servers.ecca-ai-sovereign-mesh]
url = "https://eccaai.com/api/mcp"
enabled = true
Claude Code
.mcp.json
{
"mcpServers": {
"ecca-ai-sovereign-mesh": {
"type": "http",
"url": "https://eccaai.com/api/mcp"
}
}
}
Claude Desktop
Settings → Connectors → Add custom connector
Name: ecca-ai-sovereign-mesh
Remote MCP URL: https://eccaai.com/api/mcp
Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.
Cursor
.cursor/mcp.json
{
"mcpServers": {
"ecca-ai-sovereign-mesh": {
"url": "https://eccaai.com/api/mcp"
}
}
}
Visual Studio Code
.vscode/mcp.json
Add to Visual Studio Code{
"servers": {
"ecca-ai-sovereign-mesh": {
"type": "http",
"url": "https://eccaai.com/api/mcp"
}
}
}
Generic MCP
Client-specific MCP configuration
{
"name": "ecca-ai-sovereign-mesh",
"transport": "streamable-http",
"url": "https://eccaai.com/api/mcp"
}
MCP Inspector
Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.
TRUST AND VERIFICATION EVIDENCE
Loading Trust v2 evidence…
Checking the associated registrable domain. The BuiltWith key remains server-side.
Evidence is source-attributed and does not guarantee that a third-party server is safe. Risk labels are conservative metadata heuristics.