AI & Machine Learning
contextrepo.com
Manages prompt templates and user workspace for AI prompts.
ENDPOINT 1
https://contextrepo.com/mcp
Known tools 29
get_user_infoGets information about the authenticated Context Repo user
search_promptsList prompts in the authenticated user's workspace.
read_promptGet the full details of a specific prompt including its content and variables
create_promptCreate a new prompt template.
update_promptUpdate an existing prompt.
delete_promptPermanently delete a prompt.
get_prompt_versionsGet the version history of a prompt.
restore_prompt_versionRestore a prompt to a previous version.
list_documentsList all documents belonging to the authenticated user
get_documentGet the full content of a specific document
create_documentCreate a new text document.
update_documentUpdate an existing document.
delete_documentPermanently delete a document.
get_document_versionsGet the version history of a document.
restore_document_versionRestore a document to a previous version.
list_collectionsList all collections belonging to the authenticated user
get_collectionGet details of a specific collection including its items
create_collectionCreate a new collection to organize prompts and documents.
update_collectionUpdate a collection's metadata.
delete_collectionDelete a collection.
add_to_collectionAdd documents or prompts to a collection.
remove_from_collectionRemove documents or prompts from a collection.
find_itemsSearch the user's own workspace for prompts, documents, and collections matching a query.
searchSearch the user's Context Repo workspace for prompts, documents, and collections matching a query.
fetchRetrieve the full content of a single prompt, document, or collection by id (returned from `search`).
deep_searchSearch within document content using vector similarity and return ranked, hierarchical chunks.
deep_readRetrieve a single document chunk with full content and hierarchy metadata.
deep_expandNavigate the document hierarchy from a chunk in 5 directions: up (parent), down (children), next (next sibling under the same parent), previous (previous sibling under the same parent), surrounding (context window — same-parent siblings; on sparse hierarchies where the target is the only child under its parent, surrounding automatically falls back to the last/first chunks of the parent's prev/next sibling sections so callers still get meaningful neighbouring context).
reasonAsk a question and get a synthesized, cited answer composed across your documents -- not a list of chunks.