DAWNCR0W /

affine-mcp-server

Model Context Protocol server for AFFiNE. Connect AI assistants to AFFiNE workspaces, documents, databases, and collaboration APIs over…

A new way for AI to search for data
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312GitHub stars

TypeScript, JavaScript

What XERJ indexed

Snapshot

Whole repository

The whole repository at commit 4215ea28c2 (2026-10-16).

Selected work

Sang oh yeh
@Yeh35

“convert LaTeX math in Markdown import and export”. 11 files, 919 lines in src/markdown, tests, src/tools.

Licence

The repository

MIT

Checked by a person at the pinned commit.

The XERJ corpus

MIT, with credit

The author agreed by email on 2026-10-20. Same terms as the repository. Answers name the repo, the commit and the file:line.

in licence reviewnot in the hub yetsuggested use: adapt with attribution

affineai-assistantsclaudecodexcursorknowledge-basemcpmodel-context-protocol

Example questions

The prompt

Paste it into your AI agent. It clones DAWNCR0W/affine-mcp-server at the pinned commit and indexes it on your machine.

Search the GitHub repository DAWNCR0W/affine-mcp-server with XERJ (https://hub.xerj.org/corpus/dawncr0w--affine-mcp-server).
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/DAWNCR0W/affine-mcp-server affine-mcp-server && git -C affine-mcp-server checkout 4215ea28c202646d6f772279d67873bd401cab93
3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data
4. xerj autoindex ./affine-mcp-server --url http://127.0.0.1:9200 --prefix affine-mcp-server --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.

Related

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Selected work and consent: the XERJ registry.