user-story-context-mcp-server
by knoxgraeme
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| PORT | No | Port for HTTP server | 3000 |
| TRANSPORT | No | Transport mode (http or stdio) | http |
| SUPABASE_URL | No | Supabase project URL for calling the generate-embedding edge function | |
| EMBEDDING_DIM | No | Embedding dimension (must match vector column) | 384 |
| SUPABASE_DB_URL | Yes | Postgres connection string (read-only role) for the server | |
| SUPABASE_ANON_KEY | No | Supabase anon key for calling the generate-embedding edge function | |
| EMBEDDING_PROVIDER | No | Embedding provider (supabase-edge or hash) | supabase-edge |
| CANDIDATE_POOL_SIZE | No | KNN pool size before overlap fusion | 50 |
| FIND_RELATED_MIN_SCORE | No | Absolute floor score for find_related results | 0.15 |
Capabilities
Server capabilities have not been inspected yet.
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
No tools | |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
Latest Blog Posts
MCP directory API
We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/knoxgraeme/user-story-context-mcp-server'
If you have feedback or need assistance with the MCP directory API, please join our Discord server