Schema | Chilon Recall

Chilon Recall

Official

Describes the environment variables required to run the server.

Name	Required	Description
`RAG_API_KEY`	Yes	API key for the embedding provider (and possibly reranking if it uses the same key).
`RAG_MANAGER_CONFIG`	Yes	Path to the chilon-recall JSON configuration file.
`RAG_RERANK_API_KEY`	No	Optional API key for the reranking provider. Required only if reranking is enabled in the configuration.
`CHILON_RECALL_PYTHON`	Yes	Path to the Python interpreter (Python 3.10+) used by the retrieval engine.

Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.

This server publishes no instructions, or was last inspected before Glama recorded them.

Features and capabilities supported by this server

Protocol revision2025-11-25

Capability	Details
`tools`	{ "listChanged": true }

Functions exposed to the LLM to take actions

Name	Description
rag_statusA	Inspect source coverage, provider readiness, and the active index without changing data.
rag_list_documentsA	List text documents included by the fixed knowledge-base configuration.
rag_save_configB	Atomically update approved non-secret settings in the server's fixed configuration file.
rag_buildA	Preview or execute a staged index build. Execution requires the unexpired token returned by preview.
rag_queryB	Retrieve source-backed passages from the active local index.
rag_clear_indexA	Preview or move the active index into a recoverable backup. Execution requires a matching token.
rag_list_backupsA	List recoverable index backups without exposing their absolute paths.
rag_restore_indexA	Preview or restore a named backup. Execution requires a matching token and backs up the current index first.
textbook_qaC	Retrieve evidence for answering a learning question from the configured knowledge base.
concept_compareC	Retrieve evidence for comparing two concepts across clear dimensions.
chapter_summaryC	Retrieve evidence for a structured chapter or topic summary.
review_outlineC	Retrieve evidence and organize it for focused study or review.

Interactive templates invoked by user choice

Name	Description
No prompts

Contextual data attached and managed by the client

Name	Description
No resources

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/ctrlcakepro/chilon-recall'

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