trinitas-mcp
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| TRINITAS_DATA_DIR | No | Base directory for local data | data |
| TRINITAS_MEMORY_DB | No | SQLite memory path | {TRINITAS_DATA_DIR}/trinitas_memory.db |
| PROVIDER_REGISTRY_URL | No | Registry document URL | GitHub Pages registry.json |
| PROVIDER_REGISTRY_BASE | No | Registry base for future detail fetches | GitHub Pages base URL |
| REGISTRY_CACHE_TTL_SECONDS | No | In-memory registry cache TTL | 60 |
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 |
|---|---|
| store_dialog_turnA | Store a single dialog turn in persistent session memory. Persists a message (user, assistant, system, or tool) for later retrieval and context assembly. Metadata can hold arbitrary JSON-serializable context such as model name, tool calls, or review state. Args:
session_id: Unique conversation session identifier.
role: Speaker role (e.g. Returns: JSON string with the stored turn record including assigned id. |
| retrieve_recent_contextA | Retrieve the most recent dialog turns for a session. Returns turns in chronological order (oldest first) so they can be directly used as LLM context. Args: session_id: Conversation session to query. limit: Maximum number of recent turns to return (default 10). Returns: JSON string with session id, turn count, and turn list. |
| search_memoryA | Search dialog memory within a session by text substring. Performs a case-insensitive LIKE search over turn content and roles. Suitable for finding earlier mentions of topics, decisions, or entities. Args: session_id: Conversation session to search. query: Substring to match in content or role. limit: Maximum results to return (default 20). Returns: JSON string with matching turns, newest first. |
| route_best_modelA | Recommend the best AI provider for a given task type. Uses the public Args:
task_type: Task category — Returns: JSON string with top recommendation and up to four alternatives. |
| list_available_providersA | List all providers from the AI Provider Registry. Fetches the live registry document and returns provider summaries including id, api_style, free-tier status, and supported capabilities. Returns: JSON string with registry metadata and provider list. |
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/kbarbel640-del/trinitas-mcp'
If you have feedback or need assistance with the MCP directory API, please join our Discord server