filter-mcp-server
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
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 |
|---|---|
| resetB | Clear all data and reinitialize with optional new config. After reset, the filter is empty; use build() or insert() to add data again. |
| buildD | Build this filter from an initial string dataset. |
| insertC | Insert one string key. Static structures return a standard unsupported response. |
| containsC | Point membership query for one string key. |
| deleteC | Delete one key if the structure supports deletion. |
| range_queryA | Lexicographic half-open range query: lo <= key < hi. Unsupported point-only filters return N/A. |
| prefix_queryD | Prefix query. Unsupported point-only filters return N/A. |
| memory_usageB | Return pure-structure memory estimate and bits per item. |
| false_positive_rateC | Return theoretical and measured false positive rate. |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
TDQS
Scored across 9 tools
Each tool has a distinct purpose: building from dataset, insertion, membership query, deletion, statistics, memory usage, and two specific query types. No overlap in functionality.
All tool names follow a consistent pattern of lowercase verbs or verb-noun descriptions with underscores for compound names (e.g., false_positive_rate, prefix_query). No mixing of styles.
9 tools is well-scoped for a filter server, covering initialization, insertion, deletion, queries, and statistics without being excessive or sparse.
The tool surface covers all essential operations for a filter data structure: building, inserting, deleting, membership testing, multiple query types, and memory/error rate stats. Missing features are structure-dependent and handled gracefully with standard responses.