mcp-from-openapi

Production-ready TypeScript library for converting OpenAPI specifications into MCP (Model Context Protocol) tool

A new way for AI to search for data

View on GitHub

12GitHub stars

TypeScript

What XERJ indexed

Snapshot

Whole repository

The whole repository at commit 47fb7a655d (2026-10-20).

Selected work

David Antoon
@frontegg-david

“keep spec credentials on their origin and normalize host l…”. 5 files, 398 lines in src/__tests__, src.

Licence

The repository

Apache-2.0

LICENSE file checked at the pinned commit; the author agreed to inclusion.

The XERJ corpus

Apache-2.0, with credit

The author agreed by email on 2026-10-22. Same terms as the repository. Answers name the repo, the commit and the file:line.

selected for the XERJ Corpus Hublicence clearedsuggested use: adapt with attribution

Example questions

What does src/__tests__ do in mcp-from-openapi?

The prompt

Paste it into your AI agent. It clones agentfront/mcp-from-openapi at the pinned commit and indexes it on your machine.

Search the GitHub repository agentfront/mcp-from-openapi with XERJ (https://hub.xerj.org/corpus/agentfront--mcp-from-openapi).
Run these in a shell, in order, and check each result before the next:
1. xerj --help  (success: it prints usage). If xerj is missing: curl -fsSL https://xerj.org/get | sh
2. git clone https://github.com/agentfront/mcp-from-openapi mcp-from-openapi && git -C mcp-from-openapi checkout 47fb7a655de33958b0c923490ab244343eb5fc44
3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data
4. xerj autoindex ./mcp-from-openapi --url http://127.0.0.1:9200 --prefix mcp-from-openapi --progress plain
5. xerj autoindex map --url http://127.0.0.1:9200
Then answer my question from the indexed files and cite the ax_path of every hit. Query syntax: https://xerj.org/llms.txt
Licence: Apache-2.0. Keep the copyright notice and credit the authors.

David Antoon API design and specification corpora

Selected work and consent: the XERJ registry.