nexus-convergence-mcp
nexus-convergence-mcp
封装了 Balanced Intelligence Convergence Pipeline 的 MCP 服务器。
将完整的流水线作为 4 个 MCP 工具公开,可供任何兼容 MCP 的客户端(Claude Code、Claude Desktop 等)使用。
工具
converge_query
将查询分发给多个 LLM,运行共识算法,并返回结构化结果。
{
"query": "Is this treatment effective?",
"models": ["gpt-4o", "claude-3-5-sonnet-20241022", "gemini-1.5-pro"],
"policy_set": "hipaa"
}返回:run_id、agreement_score、stability、agreed_claims、disputed_claims、final_answer。
get_evidence_ladder
返回查询的完整证据阶梯(Evidence Ladder)——流水线每一步的不可变审计追踪。
{ "query_id": "run-uuid" }返回:从 QUERY → DECOMPOSE → MODEL_EXECUTE → CONSENSUS → VERIFY → CONCLUDE 的有序条目列表。
check_compliance
根据 HIPAA/EU_AI_ACT/NIST/自定义策略检查内容。
{
"content": "Patient SSN is 123-45-6789",
"categories": ["HIPAA"]
}返回:passed、blocked、violations、warnings、logs。
list_model_disagreements
返回模型产生分歧的地方——反转(直接矛盾)、争议声明、低相似度对。
{ "query_id": "run-uuid" }返回:inversions、disputed_claims、low_similarity_pairs。
MCP 配置
添加到您的 MCP 配置中:
{
"mcpServers": {
"nexus-convergence": {
"command": "npx",
"args": ["-y", "@gonzih/nexus-convergence-mcp"],
"env": {
"CONVERGENCE_SERVICE_URL": "http://your-convergence-service:3000",
"CONSENSUS_SERVICE_URL": "http://your-consensus-service:3001",
"EVIDENCE_SERVICE_URL": "http://your-evidence-service:3002",
"COMPLIANCE_SERVICE_URL": "http://your-compliance-service:3003",
"NEXUS_API_KEY": "your-api-key"
}
}
}
}环境
CONVERGENCE_SERVICE_URL=http://localhost:3000
CONSENSUS_SERVICE_URL=http://localhost:3001
EVIDENCE_SERVICE_URL=http://localhost:3002
COMPLIANCE_SERVICE_URL=http://localhost:3003
NEXUS_API_KEY=your-api-key开发
npm ci
npm run build
npm start
npm testResources
Unclaimed servers have limited discoverability.
Looking for Admin?
If you are the server author, to access and configure the admin panel.
Latest Blog Posts
MCP directory API
We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/Gonzih/nexus-convergence-mcp'
If you have feedback or need assistance with the MCP directory API, please join our Discord server