Data source: Open Library (Internet Archive)
Overview
Open Library wraps Open Library (Internet Archive), handling authentication, pagination, and rate limits for you. This tutorial covers all 7 tools with working code examples you can copy and run.
Prerequisites
- Sign up at https://context.gnist.ai/signup for a free API key (100 calls/day).
- Choose your integration method: MCP protocol or REST API.
Connect via MCP
Add to your MCP client config (Claude Desktop, Cursor, etc.):
{
"mcpServers": {
"gnist-open-library": {
"url": "https://context.gnist.ai/mcp/open-library/",
"headers": {
"Gnist-API-Key": "YOUR_API_KEY"
}
}
}
}
Tools (7)
search_books
Search Open Library for books by title, author, or subject. Returns matching books with titles, authors, publication years, ISBNs, subjects, and cover image IDs. Use the returned work key (e.g. /works/OL27448W) with get_book() for full details.
| Parameter | Type | Required | Description |
|---|---|---|---|
query | string | required | Search query — title, author, or subject (e.g. "the lord of the rings", "tolkien"). |
limit | integer | optional | Max results to return (1-100). Default 10. (default: 10) |
curl -X POST "https://context.gnist.ai/mcp/open-library/" \
-H "Content-Type: application/json" \
-H "Gnist-API-Key: YOUR_API_KEY" \
-d '{"jsonrpc": "2.0", "method": "tools/call", "id": 1, "params": {"name": "search_books", "arguments": {"query": "the lord of the rings"}}}'
import httpx
resp = httpx.post(
"https://context.gnist.ai/mcp/open-library/",
headers={"Gnist-API-Key": "YOUR_API_KEY"},
json={'id': 1,
'jsonrpc': '2.0',
'method': 'tools/call',
'params': {'arguments': {'query': 'the lord of the rings'},
'name': 'search_books'}},
)
print(resp.json())
get_book
Get detailed information about a book/work by its Open Library work ID. Returns title, description, subjects, author references, cover IDs, and timestamps. Work IDs end in "W" — find them via search_books().
| Parameter | Type | Required | Description |
|---|---|---|---|
olid | string | required | Open Library work ID (e.g. "OL27448W" for The Lord of the Rings). |
curl -X POST "https://context.gnist.ai/mcp/open-library/" \
-H "Content-Type: application/json" \
-H "Gnist-API-Key: YOUR_API_KEY" \
-d '{"jsonrpc": "2.0", "method": "tools/call", "id": 1, "params": {"name": "get_book", "arguments": {"olid": "OL27448W"}}}'
import httpx
resp = httpx.post(
"https://context.gnist.ai/mcp/open-library/",
headers={"Gnist-API-Key": "YOUR_API_KEY"},
json={'id': 1,
'jsonrpc': '2.0',
'method': 'tools/call',
'params': {'arguments': {'olid': 'OL27448W'}, 'name': 'get_book'}},
)
print(resp.json())
search_authors
Search Open Library for authors by name. Returns matching authors with names, birth/death dates, top works, and work counts. Use the returned author key with get_author() for full bio.
| Parameter | Type | Required | Description |
|---|---|---|---|
query | string | required | Author name to search for (e.g. "tolkien", "ursula le guin"). |
limit | integer | optional | Max results to return (1-100). Default 10. (default: 10) |
curl -X POST "https://context.gnist.ai/mcp/open-library/" \
-H "Content-Type: application/json" \
-H "Gnist-API-Key: YOUR_API_KEY" \
-d '{"jsonrpc": "2.0", "method": "tools/call", "id": 1, "params": {"name": "search_authors", "arguments": {"query": "tolkien"}}}'
import httpx
resp = httpx.post(
"https://context.gnist.ai/mcp/open-library/",
headers={"Gnist-API-Key": "YOUR_API_KEY"},
json={'id': 1,
'jsonrpc': '2.0',
'method': 'tools/call',
'params': {'arguments': {'query': 'tolkien'}, 'name': 'search_authors'}},
)
print(resp.json())
get_author
Get detailed information about an author by Open Library author ID. Returns name, biography, birth/death dates, external links, and photo IDs. Author IDs end in "A" — find them via search_authors().
| Parameter | Type | Required | Description |
|---|---|---|---|
olid | string | required | Open Library author ID (e.g. "OL26320A" for J.R.R. Tolkien). |
curl -X POST "https://context.gnist.ai/mcp/open-library/" \
-H "Content-Type: application/json" \
-H "Gnist-API-Key: YOUR_API_KEY" \
-d '{"jsonrpc": "2.0", "method": "tools/call", "id": 1, "params": {"name": "get_author", "arguments": {"olid": "OL26320A"}}}'
import httpx
resp = httpx.post(
"https://context.gnist.ai/mcp/open-library/",
headers={"Gnist-API-Key": "YOUR_API_KEY"},
json={'id': 1,
'jsonrpc': '2.0',
'method': 'tools/call',
'params': {'arguments': {'olid': 'OL26320A'}, 'name': 'get_author'}},
)
print(resp.json())
get_editions
Get all editions of a work — different publishers, languages, formats. Returns edition details including publishers, publication dates, ISBNs, page counts, languages, and cover IDs. Useful for finding specific translations or print editions.
| Parameter | Type | Required | Description |
|---|---|---|---|
olid | string | required | Open Library work ID (e.g. "OL27448W"). |
limit | integer | optional | Max editions to return (1-100). Default 10. (default: 10) |
curl -X POST "https://context.gnist.ai/mcp/open-library/" \
-H "Content-Type: application/json" \
-H "Gnist-API-Key: YOUR_API_KEY" \
-d '{"jsonrpc": "2.0", "method": "tools/call", "id": 1, "params": {"name": "get_editions", "arguments": {"olid": "OL27448W"}}}'
import httpx
resp = httpx.post(
"https://context.gnist.ai/mcp/open-library/",
headers={"Gnist-API-Key": "YOUR_API_KEY"},
json={'id': 1,
'jsonrpc': '2.0',
'method': 'tools/call',
'params': {'arguments': {'olid': 'OL27448W'}, 'name': 'get_editions'}},
)
print(resp.json())
search_by_isbn
Look up a specific book edition by its ISBN-10 or ISBN-13. Returns the edition's title, publishers, publication date, ISBNs, page count, languages, covers, and linked work keys. Dashes in the ISBN are stripped automatically.
| Parameter | Type | Required | Description |
|---|---|---|---|
isbn | string | required | ISBN-10 or ISBN-13 (e.g. "9780618640157" or "0618640150"). |
curl -X POST "https://context.gnist.ai/mcp/open-library/" \
-H "Content-Type: application/json" \
-H "Gnist-API-Key: YOUR_API_KEY" \
-d '{"jsonrpc": "2.0", "method": "tools/call", "id": 1, "params": {"name": "search_by_isbn", "arguments": {"isbn": "9780618640157"}}}'
import httpx
resp = httpx.post(
"https://context.gnist.ai/mcp/open-library/",
headers={"Gnist-API-Key": "YOUR_API_KEY"},
json={'id': 1,
'jsonrpc': '2.0',
'method': 'tools/call',
'params': {'arguments': {'isbn': '9780618640157'}, 'name': 'search_by_isbn'}},
)
print(resp.json())
report_feedback
Report a bug, feature request, or general feedback for this data source. Use this when something doesn't work as expected, when you'd like a new feature, or when you have suggestions for improvement. Args: feedback: Describe the issue or suggestion. feedback_type: One of 'bug', 'feature_request', or 'general'.
| Parameter | Type | Required | Description |
|---|---|---|---|
feedback | string | required | |
feedback_type | string | optional | (default: general) |
curl -X POST "https://context.gnist.ai/mcp/open-library/" \
-H "Content-Type: application/json" \
-H "Gnist-API-Key: YOUR_API_KEY" \
-d '{"jsonrpc": "2.0", "method": "tools/call", "id": 1, "params": {"name": "report_feedback", "arguments": {"feedback": "example"}}}'
import httpx
resp = httpx.post(
"https://context.gnist.ai/mcp/open-library/",
headers={"Gnist-API-Key": "YOUR_API_KEY"},
json={'id': 1,
'jsonrpc': '2.0',
'method': 'tools/call',
'params': {'arguments': {'feedback': 'example'}, 'name': 'report_feedback'}},
)
print(resp.json())
Common Patterns
Use
search_books to find items, then get_book to get full details. This two-step pattern is common for exploring data before drilling down.Several tools support
limit, offset, or page parameters. Start with small limits during development, then increase for production queries.FAQ
What data does Open Library provide?
Book metadata — search by title/author, work details, ISBNs, cover images. It exposes 7 tools: search_books, get_book, search_authors, get_author, get_editions, search_by_isbn, report_feedback.
What do I need to get started?
A Gnist API key (free tier: 100 calls/day). Sign up at https://context.gnist.ai/signup.
What format does the Open Library API return?
JSON, via either MCP protocol (JSON-RPC 2.0) or REST API.