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scholarx — Concept Overview

Category: Intelligence | Ecosystem Role: MCP Server + A2A Agent Built on agent-utilities — the unified AGI Harness.

Description

Universal Research Paper API — single entry point for arXiv, PMC, bioRxiv, medRxiv, PsyArXiv, OSF, and Semantic Scholar

Enterprise Readiness

All agents in the ecosystem inherit enterprise-grade infrastructure from agent-utilities:

Feature Status Source
JWT/OIDC Authentication ✅ Built-in agent-utilities[auth] — Authlib JWKS + API key middleware
OpenTelemetry Instrumentation ✅ Built-in agent-utilities[logfire] — OTLP export, FastAPI auto-instrumentation
HashiCorp Vault Integration ✅ Built-in agent-utilities[vault]secret://, env://, vault:// URI schemes
Audit Logging ✅ Built-in Append-only compliance trail with 30+ action types (CONCEPT:AU-OS.governance.wasm-micro-agent-sandbox)
Token Usage Analytics ✅ Built-in 4-bucket tracking with budget alerting (CONCEPT:AU-OS.governance.wasm-micro-agent-sandbox)
Prompt Injection Defense ✅ Built-in 25+ pattern scanner + jailbreak taxonomy (CONCEPT:AU-OS.config.secrets-authentication)
Guardrail Engine ✅ Built-in Input/output interception with block/redact/warn (CONCEPT:AU-OS.governance.reactive-multi-axis-budget)
Action Execution Pipeline ✅ Built-in Token, cost, duration, and node transition limits Dry-run / commit / rollback phases (CONCEPT:AU-ORCH.adapter.kg-graph-materialization)
Resource Scheduling ✅ Built-in Priority queuing + preemption limits (CONCEPT:AU-OS.state.cognitive-scheduler-preemption)
Session Concurrency ✅ Built-in Enqueue/reject/interrupt/rollback (CONCEPT:AU-OS.governance.reactive-multi-axis-budget)

Concept Registry

This project implements or inherits the following ecosystem concepts:

Concept ID Description Source
ECO-4.1 MCP & Universal Skills agent-utilities (inherited)
KG-2.11 Research Intelligence Pipeline agent-utilities (inherited)
KG-2.12 KG Source Resolver agent-utilities (inherited)

📖 Full Registry: See agent-utilities/docs/overview.md for the complete 5-Pillar concept index.

Architecture

This project follows the standardized agent-package pattern:

scholarx/
├── scholarx/        # Source code
│   ├── __init__.py
│   ├── agent_server.py      # Entry point (create_graph_agent_server)
│   ├── api_client.py        # REST/GraphQL API wrapper
│   └── mcp_server.py        # FastMCP tool definitions
├── tests/                   # Test suite
├── docs/                    # Documentation
├── pyproject.toml           # Package metadata
├── mcp_config.json          # MCP server configuration
├── main_agent.json          # Agent identity & system prompt
└── Dockerfile               # Container deployment

MCP Configuration

stdio Mode

{
  "mcpServers": {
    "scholarx": {
      "command": "uv",
      "args": ["run", "--with", "scholarx", "scholarx-mcp"],
      "env": {}
    }
  }
}

Streamable HTTP Mode

scholarx-mcp --transport streamable-http --port 8001