# Bibelstudium MCP

**Canonical:** https://apis.io/providers/bibelstudium-mcp-de/  
**Website:** https://bibelstudium-mcp.de/  
**APIs profiled:** 1

Bibelstudium MCP provides a Model Context Protocol (MCP) server offering word‑accurate German Bible texts for AI assistants. It serves five German translations, including the licensed Schlachter 2000, as well as original Greek and Hebrew texts with morphology, concordance, cross‑references, and edition comparisons. The service is free, requires no authentication, and includes rate‑limiting to protect resources.

## Kin Score — 3.4 / 100 (minimal)

Scored 2026-11-06 under rubric 0.27.0.

| Facet | Score |
|---|---|
| Discoverability | 44.6 |
| Contract Quality | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 2.6 |
| Developer Ergonomics | 0.0 |
| Access Clarity | 0.0 |

Regulatory layer — **Horizontal (data, software, accessibility, platform)**: 5.9 (matched via fallback).

## Agent readiness — 0.0 (human-only)

| Dimension | Value |
|---|---|
| Spec Presence | no |
| Agentic Access | no |
| Reversibility Documented | no |
| MCP Server | no |
| Auth Clarity | no |
| Idempotency | no |
| Error Semantics | no |
| OpenAPI Examples | no |
| Rate Limit Signal | no |
| Event Surface Described | no |
| Agent Skills | no |
| Well Known Catalog | no |
| Consent Identity | no |
| Agent Card | no |
| Dry Run Mode | no |
| Delegated Identity | no |
| Protected Resource Metadata | no |
| Dynamic Client Registration | no |
| Agentic Commerce | no |
| Pagination Ratio | na |
| Operation Distinctiveness | na |
| MCP Tool Quality | na |

## Access

Open access — onboarding: open, pricing: unknown, trial: no (confidence: low).

## APIs (1)

- **Bibelstudium MCP API** — Provides access to German Bible texts via MCP (Model Context Protocol).

## Security (1)

- **Bibelstudium Mcp De Domain Security** — TLSv1.3 · DMARC

## Tags

Bible

---

Profiled by [API Evangelist](https://apievangelist.com) and published on [APIs.io](https://apis.io/providers/bibelstudium-mcp-de/). Scores are computed from the provider's own public artifacts under a published rubric.