Sepehr Radmard

Corpus Hub contributor since 2026-10-17

Sepehr Radmard's work was selected for the XERJ Corpus Hub, the open reference memory AI coding agents search before they write code. When an agent meets the same problem, it gets this implementation back as a worked example, with the author and the repository attached.

1corpus

1selected commit

12files

469lines

★ 35GitHub stars on repo

Totals across every corpus @sepehr071 appears in; a commit selected for two corpora counts once. Files and lines count the selected commits; each corpus indexes the whole repository at its pinned commit.

What an agent can do with the snapp-mcp corpus

sepehr071/snapp-mcp: Unofficial read-only MCP server for Snappfood and SnappMarket: search dishes and groceries, compare true prices with delivery, read menus…

Look up how snapp-mcp implements iran, mcp, mcp-server, with answers cited to file and line.
Reuse a worked example: the commit “compact output, fewer tokens, hardening (v0.2.0)” (12 files · Python).
Answer from snapp-mcp's real Python source instead of memory (AI, prompts and agents).

Example questions

Where does snapp-mcp handle “compact output, fewer tokens, hardening (v0.2.0)”?
How does snapp-mcp implement iran?
What does src/snapp_mcp do in snapp-mcp?

Paste it into your AI agent. It clones the repo at the pinned commit and indexes it on your machine.

Search the GitHub repository sepehr071/snapp-mcp with XERJ (https://hub.xerj.org/corpus/sepehr071--snapp-mcp).
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/sepehr071/snapp-mcp snapp-mcp && git -C snapp-mcp checkout 5a56e0b8a9e621d6673cc85510514d46223e2def
3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data
4. xerj autoindex ./snapp-mcp --url http://127.0.0.1:9200 --prefix snapp-mcp --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: MIT. Keep the copyright notice and credit the authors.

corpus sepehr071--snapp-mcp · AI, prompts and agents
Related corpora: fastmcp, agno, OpenMachineLabs/openmachine, sickn33/tidal-mcp
AI search and retrieval with XERJ · Case study: reference coding for agents

Selected work

GitHub ★ 35

sepehr071/snapp-mcp

5a56e0b8a9 feat!: compact output, fewer tokens, hardening (v0.2.0)

selected commit: 12 files · 469 lines · Python · src/snapp_mcp, tests, the project root

The corpus is the whole repository at the pinned commit, not only the files of the selected commit.

selected · in licence reviewcorpus sepehr071--snapp-mcpAIMITiranmcpmcp-servermodel-context-protocolpythonsnappfood agreed 2026-10-17

Not installable yet: this corpus is not in the hub registry until its licence review passes, so xerj corpus add and xerj ask cannot fetch it. It becomes installable when this card says live in the hub.

[![XERJ Corpus Hub contributor](https://hub.xerj.org/contributors/sepehr071/badge.svg)](https://hub.xerj.org/contributors/sepehr071)

Included with the author's permission (email, 2026-10-17), under each repository's own licence, with attribution. Want it removed? Reply to the email or open an issue on xerj-org/xerj.