obs-5m-mcp

obs-5m-mcp

MCP server for Open Bible Stories + Theological Formation (Five Movements) content, providing tools like fetch_obs_study_manual to retrieve study manuals, story details, and PDF resources for translation workflows.

Category
Visit Server

README

obs-5m-mcp

MCP server for Open Bible Stories + Theological Formation (Five Movements).

Content resolution: DCS catalog subject=OBS Theological Formation + topic=tc-ready (same defaults as Translation Helps MCP). English comes from Door43 unfoldingWord/en_obs_tf. When DCS has no entry (Indonesian today), tools use extracted text from self-hosted PDFs (R2) — not just a download link (bt-servant-engine#215).

Implements the study-manual surface requested in translation-helps-mcp#36 via fetch_obs_study_manual.

Content license: CC BY-SA 4.0 (unfoldingWord / partners).

Quick start

npm install
npm test                 # unit + contracts
npm run test:unit
npm run test:contracts
npm run dev              # http://localhost:8790
# Chat UI (needs OPENAI_API_KEY in .dev.vars):
#   http://localhost:8790/chat
# with wrangler running:
npm run test:smoke

Copy .dev.vars.example → .dev.vars and set OPENAI_API_KEY for the chat UI. Deployed: wrangler secret put OPENAI_API_KEY.

Endpoints:

Path Purpose
/ Website home
/docs Agent guide — how AI agents run translator sessions with these tools
/chat Simple LLM chat UI (OpenAI + in-process MCP tools)
/api/chat Chat SSE API (status / token / done; "debug": true for X-ray)
/mcp MCP (Streamable HTTP / SSE via agents/mcp)
/api JSON discovery (Accept: application/json on / also works)
/api/mcp-manifest Tool catalog JSON
/api/tool Direct tool invoke; pass "debug": true for X-ray traces
/debug X-ray UI (tool runner + pipeline report)
/assets/pdf/<r2Key> Stream self-hosted PDF from R2
/health Liveness

Tests & X-ray

Modeled on translation-helps-mcp:

Suite Command What it covers
Unit npm run test:unit Parser, study manual, handlers (mocked Door43), X-ray events
Contracts npm run test:contracts Tool module shape + outputSchema / RESOURCE_NOT_AVAILABLE
Smoke npm run test:smoke Live /health, manifest, fetch_obs_study_manual + X-ray

X-ray (pipeline transparency): POST /api/tool with "debug": true returns { result, xray, xrayReport }. Open /debug for an interactive panel. Chat also supports X-ray via the checkbox on /chat (or "debug": true on /api/chat).

Chat (LLM + MCP tools)

Cloned from Translation Helps /chat (SvelteKit + ChatDock + X-ray), rewired for OBS study-for-translation instead of scripture/TN/TW.

# Terminal A — MCP worker (tools, PDFs, docs)
npm run dev

# Terminal B — Svelte chat (primary UI)
npm run dev:web
# → http://localhost:8174/chat
  • Study / Translate / Check map onto OBS sessionFlow parts (not Bible workflow modes).
  • Session side panel replaces the TH Helps/scripture panel with Five Movements parts.
  • API: web/src/routes/api/chat → src/chat/chatHandler + in-process TOOL_REGISTRY (OBS tools).
  • Worker :8790/chat still serves a slim HTML fallback if the Svelte app is not running.

Tools

Discovery: list_languages, list_resources, list_collections, list_stories
Study manual (#36): fetch_obs_study_manual
Helpers: get_framework, get_story, get_movement, get_devotional, get_study_guide, search_content
PDFs: get_pdf (Indonesian pack)

fetch_obs_study_manual (preferred for BT Servant)

{
  "tool": "fetch_obs_study_manual",
  "arguments": {
    "reference": "1:1",
    "language": "en",
    "movement": 1,
    "format": "json"
  }
}
Param Description
reference OBS story:frame — "1:1", "1" (whole story), "1:0" (intro). Optional obs prefix.
language Default en (Door43 en_obs_tf).
part Optional session slice: intro | frames | community | movement1–5 | drafting | checking | conclusion. Preferred for paced translator sessions.
movement Optional 1–5 (same as part=movementN). Prefer part for drafting/checking/conclusion.
format json (default), md, or text — md/text always render from the same parsed data (never falsely empty).

Returns intro, frames, Community Study, Observation / Translation / Discourse / Theological / Journal, drafting, checking, Ministry / Mission, and conclusion — packaging resolved (shared TX and story-inline look the same). Response includes sections and sessionFlow for agent routing.

Related Translation Helps issues (out of scope here)

Issue Topic Where it lives
#36 en_obs_tf study manual This server (fetch_obs_study_manual)
#34 OBS tn/tq/sn/sq format:md empty Translation Helps MCP (classic OBS TSV tools)
#35 OBS translation-word links (en_obs-twl) Translation Helps MCP

Indonesian PDFs → OBS-TF markdown (DCS fallback)

Used only when catalog search finds no OBS Theological Formation for id.

Canonical pipeline: PDF → font-aware plain MD → DCS-shaped MD (do not convert from coarse txt when plain MD is available).

# 1) PDF → plain MD (headings, **NN-NN** frames)
npm run plain-md -- --story=1
# 2) plain MD → en_obs_tf-shaped MD + transclusions
npm run convert:id -- --story=1
# Or generate missing plain MD then convert all:
npm run convert:id:from-pdf
# Force re-extract plain MD from PDF, then convert:
npm run convert:id -- --regen-plain --story=1

Setup steps:

  1. Download the zip from bt-servant-engine#215 (or Google Drive).
  2. Unpack PDFs into data/incoming/ (names like OBS 1 (Indonesia).pdf).
  3. Optional txt fallback: npm run ingest:id -- --text-only → data/indonesian-text.json
  4. Run the canonical pipeline above → data/obs-tf-md/id/obs_story_N.md with unique sections (community study, divergent movements) inlined, shared movement/conclusion as ![[…]] transclusions, plus structure-report.json (soft metrics: translation terms, skeleton flags, shared-tx drift).
  5. --offline uses the story-1 fixture for DCS compare when network is unavailable.
  6. Upload PDF + text to R2: npm run ingest:id or --local for wrangler dev.

Structure cues live in data/structure-maps/id.json. Runtime prefers converted MD (sourceKind: local-md) over coarse PDF text. get_pdf still returns the file URL and extracted text.

Export a Door43 repo tree

After convert, build an upload-ready Resource Container folder (manifest + stories + transclusions):

npm run export:dcs
# or regenerate convert first:
npm run export:dcs -- --convert
# custom output:
npm run export:dcs -- --out=./tmp/id_obs_tf --force

Output: exports/id_obs_tf/ (gitignored). Create an empty Door43 repo, then git init / push from that folder — see exports/id_obs_tf/README.md.

Cloudflare setup

This app deploys as a Cloudflare Worker (MCP Durable Object + Workers Assets for the Ezer chat UI). That is the right host for MCP — not a static Pages site alone.

npx wrangler kv namespace create OBS_5M_CACHE
npx wrangler kv namespace create OBS_5M_CACHE --preview
# Optional (Indonesian PDF hosting) — enable R2 in the dashboard first:
npx wrangler r2 bucket create obs-5m-mcp-assets

Paste the KV ids into wrangler.toml, set PUBLIC_BASE_URL, then:

npm run deploy
npx wrangler secret put OPENAI_API_KEY

Chat: https://<worker>/chat · MCP: https://<worker>/mcp

BT Servant registration

  1. Deploy this worker.
  2. Register the MCP URL (https://<worker>/mcp) in BT Servant admin (see bt-servant-worker curl examples).
  3. Responses include _meta.downstream_api_calls and _meta.cache_status per MCP integration guidelines.
  4. Smoke: fetch_obs_study_manual with reference: "1:1", language: "en"; list_resources for id + get_pdf.

Architecture

Modeled on translation-helps-mcp v2: Cloudflare Worker + McpAgent Durable Object, Zod tools, RESOURCE_NOT_AVAILABLE with isError: false.

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured