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Glama
Asar007

visualize-chat-mcp

by Asar007

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault
NAVIGATE_CHAT_EMAILNoEmail for Navigate Chat authentication (optional)
NAVIGATE_CHAT_API_URLNoURL for Navigate Chat API (optional)
NAVIGATE_CHAT_PASSWORDNoPassword for Navigate Chat authentication (optional)

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

Features and capabilities supported by this server

Protocol revision2025-11-25

CapabilityDetails
tools
{}
prompts
{}

Tools

Functions exposed to the LLM to take actions

NameDescription
export_jsonB

Save visualization JSON to local file (~/.visualize-chat/visualizations/)

push_to_navigateC

Push visualization to Navigate Chat API (requires env vars)

Prompts

Interactive templates invoked by user choice

NameDescription
visualizeCreate a mindmap visualization of this conversation

Resources

Contextual data attached and managed by the client

NameDescription

No resources

TDQS

B3.3/5.0

Scored across 2 tools

Disambiguation5/5

The two tools have clearly distinct purposes: one saves visualization JSON to a local file, the other pushes it to an API. There is no overlap in their primary functions, so an agent can easily choose the correct one based on the desired destination.

Naming Consistency4/5

Both tool names use snake_case and start with imperative verbs (export, push). The pattern differs slightly—'export_json' is verb + object, while 'push_to_navigate' includes a preposition—but they remain readable and follow a similar style.

Tool Count3/5

With only two tools, the set feels thin for a general visualization server. However, for the narrow scope of exporting and pushing visualizations, the count is borderline acceptable rather than clearly insufficient.

Completeness4/5

The tools cover the two primary output paths (local save and remote API push), which covers the core workflow. Minor gaps exist, such as no listing or deletion of saved visualizations, but these are not dead ends for the main use case.

Maintenance

ActivityInactive
ResponsivenessNo issues