mcp-research-assistant
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| OPENAI_API_KEY | Yes | Your OpenAI API key for embeddings | |
| RESEARCH_DB_PATH | Yes | Base path for storing research databases |
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 |
|---|---|
| save_research_dataA | Save research content to vector database for future retrieval. Args: content: List of text content to save topic: Topic name for organizing the data (creates separate DB) |
| search_research_dataB | Search through saved research data using semantic similarity. Args: query: Search query topic: Topic database to search in max_results: Maximum number of results to return |
| list_research_topicsA | List all available research topics (vector databases). |
| delete_research_topicA | Delete a research topic and all its data. Args: topic: Topic name to delete |
| get_topic_infoB | Get detailed information about a research topic. Args: topic: Topic name to get info for |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
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