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Glama
FradSer

Sequential Thinking Multi-Agent System

by FradSer
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Remote

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault
EXA_API_KEYNoYour Exa API key required if the Researcher agent is used and needs Exa
DEEPSEEK_API_KEYYesYour DeepSeek API key required for the LLM used by Agno agents/team
DEEPSEEK_BASE_URLNoOptional: Custom DeepSeek endpoint URL if using a custom endpoint

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
{
  "listChanged": false
}
prompts
{
  "listChanged": false
}
resources
{
  "subscribe": false,
  "listChanged": false
}
experimental
{}

Tools

Functions exposed to the LLM to take actions

NameDescription
sequentialthinkingA

Multi-step sequential reasoning contract. Always treat this tool as iterative: after each response, read structuredContent.should_continue and continue calling until it is false. Actively use reflection: when a step reveals a flaw, explicitly send a revision step with isRevision=true. Input contract:

  • thought: one concrete reasoning step in natural language.

  • thoughtNumber: 1-based step index; increment by one for each new step.

  • totalThoughts: target number of steps for the current plan.

  • nextThoughtNeeded: true while the sequence should continue; false on final step.

  • isRevision: true only when revising an earlier conclusion.

  • branchFromThought + branchId: set together to explore an alternative branch.

  • needsMoreThoughts: true only when extending beyond totalThoughts. Output contract:

  • structuredContent.should_continue: canonical continuation signal.

  • structuredContent.next_thought_number: next recommended thoughtNumber.

  • structuredContent.stop_reason: canonical reason code for orchestration.

Prompts

Interactive templates invoked by user choice

NameDescription
sequential-thinkingEnhanced starter prompt for sequential thinking with better formatting.

Resources

Contextual data attached and managed by the client

NameDescription

No resources

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TDQS

A4.7/5.0

Scored across 1 tool

Disambiguation5/5

Only one tool exists, so there is no possibility of ambiguity or confusion between tools.

Naming Consistency5/5

With a single tool, naming consistency is inherently perfect; the name clearly describes the action.

Tool Count5/5

One tool is appropriate for a focused multi-step reasoning system; the tool itself is complex and self-contained.

Completeness5/5

The tool covers the full sequential reasoning lifecycle including revision, branching, and extension, leaving no obvious gaps.

Maintenance

ActivitySlowing
ResponsivenessUnresponsive

Resources