ChunkTuner
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| CHUNK_TUNER_BASE_DIR | Yes | Base directory for your corpus |
Instructions
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.
Capabilities
Features and capabilities supported by this server
Protocol revision2025-11-25
| 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 |
|---|---|
| list_strategiesB | List registered chunking strategies, optionally filtered by content type. |
| preview_chunksC | Chunk inline text with one strategy + params (no embeddings). |
| evaluate_chunkingB | Dry-run cost estimate or full evaluation ( |
| recommend_configC | Run tuner and return ranked |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
| explain_chunking_results | Help an assistant interpret evaluation / recommendation output. |
| design_eval_questions | Guide creation of domain-specific evaluation questions. |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
| doc_overview | |
| doc_strategy_guidelines | |
| doc_metrics_guide |
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curl -X GET 'https://glama.ai/api/mcp/v1/servers/shantanu-deshmukh/chunktuner'
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