Hypermnesic
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| OPENAI_API_KEY | No | OpenAI API key for dense embeddings (optional; falls back to lexical-only if not set) | |
| HYPERMNESIC_DEFAULT_CLIENT_SCOPES | No | Default OAuth scopes for new client approvals, e.g. 'read,write' (optional, overrides --default-client-scopes) |
Capabilities
Features and capabilities supported by this server
| Capability | Details |
|---|---|
| tools | {
"listChanged": false
} |
| prompts | {
"listChanged": false
} |
| resources | {
"subscribe": false,
"listChanged": false
} |
| completions | {} |
| experimental | {} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| searchA | Hybrid retrieval over the read-only index: fuses SQLite FTS5 lexical search with sqlite-vec dense (semantic) ranking via reciprocal-rank fusion, degrading gracefully to lexical-only when embeddings are unavailable. Returns ranked hits (source markdown path, heading, fused score, matched channels, a snippet, and git recency) so an agent can recall facts, notes, and decisions from the vault by a natural-language query. |
| hypermnesic_searchA | Hybrid (lexical + dense) search over the read-only index: functionally identical to |
| build_contextA | Pages reachable from a page via body wikilinks (in+out edges). |
| resolveA | Entity resolution: resolve a name to an existing page path (gbrain's |
| thinkA | Thinking-mode: related notes + Socratic prompts + related-but-not-yet-linked pairs. Pass the active note's |
| list_foldersA | Discover the vault's folder taxonomy + writable locations before placing a note: child folders under |
| read_noteA | Read the full markdown content of a single note by its repo-relative path (typically a |
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
- Your AI Chatbot Just Exposed Your CEO's Salary to an InternBy Om-Shree-0709 on .Agent IdentityMCP SecurityOAuth Delegation
- Why MCP Servers Need Execution Sandboxing (And Why Your Current Stack Isn't Enough)By Om-Shree-0709 on .Agentic AiPrompt InjectionWebAssembly
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/leonardsellem/hypermnesic'
If you have feedback or need assistance with the MCP directory API, please join our Discord server