RLM-MCP
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Capabilities
Features and capabilities supported by this server
| Capability | Details |
|---|---|
| tools | {
"listChanged": false
} |
| prompts | {
"listChanged": false
} |
| resources | {
"subscribe": false,
"listChanged": false
} |
| experimental | {} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| rlm.session.createB | Create a new RLM session for processing large contexts. Args: name: Human-readable session name config: Session configuration (max_tool_calls, max_chars_per_response, etc.) |
| rlm.session.infoB | Get session statistics and configuration. Args: session_id: Session ID to query |
| rlm.session.closeB | Mark session complete and persist index metadata. Args: session_id: Session ID to close |
| rlm.docs.loadC | Load documents into the session context. Args: session_id: Session to load into sources: List of source specs (type, path, content, etc.) |
| rlm.docs.listC | List documents in session. Args: session_id: Session to query limit: Max documents to return offset: Pagination offset |
| rlm.docs.peekA | View a portion of a document. Enforces max_chars_per_peek. Args: session_id: Session containing document doc_id: Document ID to peek start: Start offset (inclusive) end: End offset (exclusive), -1 for end of doc |
| rlm.chunk.createB | Chunk a document using a specified strategy. Args: session_id: Session containing document doc_id: Document ID to chunk strategy: Chunking strategy (type, chunk_size, line_count, delimiter, overlap) |
| rlm.span.getC | Retrieve the content of one or more spans. Enforces max_chars_per_response. Args: session_id: Session containing spans span_ids: List of span IDs to retrieve |
| rlm.search.queryC | Search documents. BM25 index is lazy-built on first use. Args: session_id: Session to search query: Search query string method: Search method (bm25, regex, literal) doc_ids: Optional list of doc IDs to limit search limit: Max matches to return context_chars: Characters of context around each match |
| rlm.artifact.storeA | Store a derived artifact with provenance. Args: session_id: Session to store artifact in type: Artifact type (summary, extraction, classification, custom) content: Artifact content span_id: Optional span ID for provenance span: Optional span reference (doc_id, start, end) - creates span if needed provenance: Optional provenance metadata (model, prompt_hash) |
| rlm.artifact.listA | List artifacts for a session or span. Args: session_id: Session to query span_id: Optional span ID filter type: Optional type filter |
| rlm.artifact.getB | Retrieve artifact content. Args: session_id: Session containing artifact artifact_id: Artifact ID to retrieve |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
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