Think Tank MCP

Provides structured reasoning and persistent knowledge graph capabilities for complex problem-solving with transparent thinking processes and memory across conversations.

Skills

Explore the skills and capabilities of this skillset.

think

Use the tool to think about something. It will not obtain new information or change the database, but just append the thought to the log. Use it when complex reasoning or some cache memory is needed. Consider including: problem definition, relevant context, analysis steps, self-reflection on your reasoning, and conclusions. Adapt this structure as needed for your specific thought process.

next_task

Get the next highest priority todo task and mark it as in-progress.

exa_answer

Ask a question and get a sourced answer via Exa /answer API.

exa_search

Search the web using Exa API

list_tasks

List tasks with optional filtering by status and priority.

open_nodes

Open specific nodes in the knowledge graph by their names

plan_tasks

Create multiple tasks from a plan. Generates IDs and syncs with knowledge graph.

read_graph

Read the entire knowledge graph

memory_query

Query the memory store with advanced filters

search_nodes

Search for nodes in the knowledge graph based on a query

update_tasks

Update multiple tasks with new values.

complete_task

Mark a task as completed.

delete_entities

Delete multiple entities and their associated relations from the knowledge graph

upsert_entities

Create new entities or update existing ones in the knowledge graph using an upsert pattern

add_observations

Add new observations to existing entities in the knowledge graph

create_relations

Create multiple new relations between entities in the knowledge graph. Relations should be in active voice

delete_relations

Delete multiple relations from the knowledge graph

show_memory_path

Return absolute path of the active knowledge-graph file.

update_relations

Update multiple existing relations in the knowledge graph

delete_observations

Delete specific observations from entities in the knowledge graph

Configuration

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MCP Server

Connect to MCP Server

Think Tank MCP

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Frequently Asked Questions

Quick one-sentence introduction: What is Bika.ai?
What make Bika.ai so unique?
The English abbreviation "BIKA" stands for what meaning?
How does Bika.ai automate tasks with AI?
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What is the difference between Bika.ai and AI assistants like ChatGPT, Gemini?
What is the difference between Bika.ai and spreadsheet database?
Does Bika.ai get poor performance when the single database records reaches tens of thousands or hundreds of thousands of rows and the associations become more complex?
What is the 'Space' in Bika.ai?
How many paid spaces do I own after making a payment?
What does 'Resources' mean?
How does the Bika.ai team 'eat your own dog food' (use their own product)?
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