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Glama
Atomic-Germ

MCP Ollama Consult Server

by Atomic-Germ

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault
OLLAMA_BASE_URLNoThe Ollama endpoint URLhttp://localhost:11434

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
{}

Tools

Functions exposed to the LLM to take actions

NameDescription
consult_ollamaB

Consult with Ollama AI models for architectural decisions, code reviews, and design discussions. Supports sequential chaining of consultations for complex multi-step reasoning.

list_ollama_modelsA

List all available Ollama models on the local system (installed or cloud-based)

compare_ollama_responsesB

Compare responses from multiple Ollama models on the same prompt to get diverse perspectives

remember_contextB

Store context for use in future consultations within the same session

sequential_consultation_chainB

Run a sequence of consultations where each consultant builds on previous responses, enabling complex multi-step reasoning.

Prompts

Interactive templates invoked by user choice

NameDescription

No prompts

Resources

Contextual data attached and managed by the client

NameDescription

No resources

TDQS

B3.4/5.0

Scored across 5 tools

Disambiguation3/5

The purposes of list_ollama_models and remember_context are distinct, but consult_ollama, compare_ollama_responses, and sequential_consultation_chain heavily overlap. All three involve querying models, differing mainly in whether responses are combined or chained, which could lead to agent confusion.

Naming Consistency3/5

Tools mostly follow a snake_case verb_noun pattern (list_ollama_models, remember_context, compare_ollama_responses), but 'sequential_consultation_chain' breaks the verb-first pattern with an adjective-noun structure. Also, 'consult_ollama' is a general verb that overlaps with others, making the naming less distinctive.

Tool Count5/5

With only 5 tools, the server is well-scoped and each tool seems to have its place, though the overlap among core consultation tools slightly reduces the necessity of having three separate ones. Still, it's a small, manageable set that fits the server's purpose.

Completeness4/5

The server covers a typical consultation workflow: listing available models, querying them, comparing responses, chaining consultations, and maintaining context. A minor gap is the lack of a tool to explicitly clear context or manage sessions, which agents might need for long-running interactions.

Maintenance

ActivityInactive
ResponsivenessNo issues