PinRAG

Install

Works with Claude Code, Codex, VS Code, Cursor, Windsurf, Claude Desktop. Read the repository before you give any tool access to your data.

npx agentmarket install connector/ndjordjevic-pinrag

About

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Permissions

What this server can do and what it asks for, from its tool list and install config. Checked Oct 25, 2026.

Tools

3 read · 2 write · 1 delete

Secrets

1 (API keys, tokens or passwords)

Install scripts

Not scanned yet

Runs as

Python package

Tools (6)

Read from the source code; the running server may differ. Descriptions are the server’s own words; hidden characters are shown as [U+…].

• add_document_tool

  Add files, directories, YouTube videos, GitHub repos, or web docs sites to the index. Automatically detects format per path and indexes: - GitHub (URL, e.g. https://github.com/owner/repo or github.com/owner/repo/tree/branch) - YouTube (URL or video ID, e.g. https://youtu.be/xyz) - Web docs (any other http(s) URL, e.g. https://docs.langchain.com/) — discovery via llms.txt → sitemap.xml → scoped BFS, same-host + path-prefix only - PDF (.pdf) - Discord export (.txt with DiscordChatExporter Guild:/Channel: header) Pass one or more paths. Single path: paths=[\"/path/to/file.pdf\"]. Uses server …

• list_collections_tool

  List Chroma collection names in the configured (or overridden) persist directory.

• list_documents_tool

  List all indexed documents in the PinRAG index. Returns unique document IDs (PDF file names, video IDs, discord-alicia-1200-pcb, owner/repo/path for GitHub, etc.) currently in the vector store, plus total chunk count. Uses server config for vector store location and collection. Args: tag: Optional tag to filter: only list documents that have this tag. ctx: MCP request context (injected by the server; unused). Returns: Dictionary containing documents, total_chunks, persist_directory, collection_name, document_details.

• query_tool

  Query indexed documents and return an answer with citations. Searches through all indexed documents (PDF, Discord, GitHub, YouTube, web docs, etc.) and uses RAG to provide an answer based on retrieved context, with source citations. Args: query: Natural language question to ask. document_id: Optional document selector (ref, title, or unique PDF stem). page_min: Optional start of page range (inclusive). PDF only. page_max: Optional end of page range (inclusive). PDF only. tag: Optional tag to filter retrieval (from list_documents). document_type: Optional type to filte…

• remove_document_tool

  Remove a document and all its chunks from the PinRAG index. Deletes all chunks and embeddings for the given document. Use list_documents_tool to see document_ids (e.g. "mybook.pdf", "bwgLXEQdq20", "discord-alicia-1200-pcb", "owner/repo/path" for GitHub). Uses server config for vector store location and collection. Args: document_id: Document identifier to remove (from list_documents_tool). ctx: MCP request context (injected by the server; unused). Returns: Dictionary containing deleted_chunks, document_id (canonical ref after any title match), persist_directory, collection_n…

• set_document_tag_tool

  Set or replace the tag on every indexed chunk for one document.

Signals

Stars

2

Forks

0

Open issues

0

Weekly downloads

108

Last commit

Apr 10, 2026 (6 months ago)

Last release

Apr 9, 2026 (6 months ago)

Last package publish

Apr 9, 2026 (6 months ago)

From GitHub (fetched Oct 24, 2026) and the package registry.

Details

Registry name

io.github.ndjordjevic/pinrag

Version

0.9.27

Auth

API key

Packages

pypi pinrag

License

MIT

Repository

github.com/ndjordjevic/pinrag

First seen

Oct 24, 2026

Last checked

Oct 24, 2026

Source

Official MCP Registrygithub-graphql