Schema | research-assistant-mcp

research-assistant-mcp

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. A 'research_chroma_dbs' directory will be created inside this path.

Features and capabilities supported by this server

Capability	Details
`tools`	{ "listChanged": true }
`logging`	{}
`prompts`	{ "listChanged": false }
`resources`	{ "subscribe": false, "listChanged": false }
`extensions`	{ "io.modelcontextprotocol/ui": {} }
`experimental`	{}

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_dataA	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_infoA	Get detailed information about a research topic. Args: topic: Topic name to get info for

Interactive templates invoked by user choice

Name	Description
No prompts

Contextual data attached and managed by the client

Name	Description
No resources

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/laxmimerit/research-assistant-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server