Skip to main content
Glama
dev484p

Agentic AI with MCP

by dev484p

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault

No arguments

Instructions

Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.

This server publishes no instructions, or was last inspected before Glama recorded them.

Capabilities

Server capabilities have not been inspected yet.

Tools

Functions exposed to the LLM to take actions

NameDescription
wiki_searchC

Search Wikipedia for articles.

internet_searchC

Search the internet using Tavily API.

yahoo_finance_searchC

Get stock information from Yahoo Finance.

Prompts

Interactive templates invoked by user choice

NameDescription

No prompts

Resources

Contextual data attached and managed by the client

NameDescription

No resources

TDQS

B3.1/5.0

Scored across 3 tools

Disambiguation5/5

Each tool has a clearly distinct purpose: internet_search uses Tavily API for general web searches, wiki_search targets Wikipedia articles specifically, and yahoo_finance_search focuses on stock information from Yahoo Finance. There is no overlap in functionality or ambiguity between these three tools.

Naming Consistency5/5

All tool names follow a consistent snake_case pattern with a clear verb_noun structure: internet_search, wiki_search, and yahoo_finance_search. The naming is uniform and predictable across the entire set.

Tool Count3/5

With only 3 tools, the server feels thin for the broad domain implied by 'Agentic AI with MCP', which suggests a more comprehensive set of capabilities. While each tool is distinct, the count is borderline low for typical agentic AI tasks that might require more varied operations.

Completeness2/5

The tool surface is severely incomplete for an 'Agentic AI' server, as it only provides search functionalities without any CRUD operations, data processing, or other AI-related actions. There are significant gaps that will limit agent effectiveness, such as missing tools for data manipulation, analysis, or interaction with AI models.

Maintenance

ActivityInactive
ResponsivenessNo issues