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Glama
tmtcomeup

PocketFlow MCP Server

by tmtcomeup

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault
MODELNoSpecific model to use
API_KEYYesAPI key for the LLM provider
LANGUAGENoTutorial languageenglish
REPO_URLNoGitHub repository URL
USE_CACHENoEnable LLM response cachingtrue
LLM_PROVIDERNoAI provider (openrouter, google, anthropic, openai)
MAX_FILE_SIZENoMaximum file size in bytes100000
EXCLUDE_PATTERNSNoFile patterns to skip (comma-separated)
INCLUDE_PATTERNSNoFile patterns to analyze (comma-separated)
MAX_ABSTRACTIONSNoNumber of key concepts to identify10

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
analyze_github_repositoryB

Analyze a GitHub repository and generate a comprehensive tutorial following the PocketFlow methodology

get_repository_structureC

Get the file structure of a GitHub repository

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 2 tools

Disambiguation5/5

The two tools have clearly distinct purposes: analyze_github_repository generates a tutorial, while get_repository_structure retrieves file structure. There is no overlap or ambiguity between these functions, making it easy for an agent to select the correct tool.

Naming Consistency5/5

Both tools follow a consistent verb_noun pattern (analyze_github_repository, get_repository_structure) with clear, descriptive names. The naming is uniform and predictable, enhancing usability.

Tool Count2/5

With only 2 tools, the server feels thin for its apparent domain of GitHub repository analysis and tutorial generation. A more complete set might include tools for updating tutorials, managing analysis results, or handling other repository aspects, suggesting an under-scoped implementation.

Completeness2/5

The tool surface is severely incomplete for the PocketFlow methodology domain. It lacks essential operations such as creating, updating, or deleting tutorials, managing user interactions, or handling errors, which are likely needed for a comprehensive workflow, leading to potential agent failures.