Egor Fyodorov

Corpus Hub contributor since 2026-10-24

Egor Fyodorov'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

52files

4,986lines

★ 1GitHub stars on repo

Totals across every corpus @egor-fedorov 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 telegram-mcp corpus

egor-fedorov/telegram-mcp: Local, read-only Telegram MCP server with public-channel discovery and folder-aware retrieval

Reuse a worked example: the commit “improve retrieval reliability and compact MCP responses” (52 files · Python).
Answer from telegram-mcp's real Python source instead of memory (AI, prompts and agents).

Example questions

Where does telegram-mcp handle “improve retrieval reliability and compact MCP responses”?
What does tests do in telegram-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 egor-fedorov/telegram-mcp with XERJ (https://hub.xerj.org/corpus/egor-fedorov--telegram-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/egor-fedorov/telegram-mcp telegram-mcp && git -C telegram-mcp checkout 2beac8bb7336fbaf18df22382cf4bd1ed2b661ad
3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data
4. xerj autoindex ./telegram-mcp --url http://127.0.0.1:9200 --prefix telegram-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 egor-fedorov--telegram-mcp · AI, prompts and agents
Related corpora: kkp-connected-spectral-counterexamples, r2r-enforce, awesome-mcp-servers, awesome-llm-apps
AI search and retrieval with XERJ · Case study: reference coding for agents

Selected work

GitHub ★ 1

egor-fedorov/telegram-mcp

Local, read-only Telegram MCP server with public-channel discovery and folder-aware retrieval

On GitHub: 53 commits · 1 forks · 119 files at the pinned commit · created 2026-10 · last push 2026-10-29

Languages: Python 100%

2beac8bb73 feat!: improve retrieval reliability and compact MCP responses (#13)

selected commit: 52 files · 4,986 lines · Python · tests, src/telegram_mcp, scripts

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

live on the hub · licence clearedcorpus egor-fedorov--telegram-mcpAIMIT agreed 2026-10-24

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

Included with the author's permission (email, 2026-10-24), under each repository's own licence, with attribution. Own more repositories? Sign in with GitHub and add them. Want something removed? Reply to the email, withdraw it on /add, or open an issue on xerj-org/xerj.