Visualize concept relationships by rendering a BFS subgraph from a seed concept. Generates a Mermaid diagram to explore how concepts connect within Engram's memory system.
127,435 tools. Last updated 2026-05-05 16:51
"A search related to the concept of thinking" matching MCP tools:
- Traverse the knowledge graph to find all concepts related to a seed concept. Filter by relation label and direction (from, to, or both) to discover specific connections.
- Search GitHub for public proof-of-concept exploit repositories for a CVE, with results sorted by star count to highlight credible exploits.Apache 2.0
- Retrieve a complete summary of the current thinking session, including all analysis steps and reasoning paths.
- Check existence of proof-of-concept exploits for a given CVE across GitHub, Exploit-DB, and Nuclei templates.Apache 2.0
- Generate a comprehensive summary of the entire thinking process to document and review structured idea exploration.MIT
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Find relevant Smart‑Thinking memories fast. Fetch full entries by ID to get complete context. Spee…
the-committee MCP — wraps StupidAPIs (requires X-API-Key)
- Retrieve the current state of a thinking session to access step-by-step reasoning, revisions, and chained operations for structured problem-solving.MIT
- Find notes related to a concept by analyzing links, tags, or mentions in your knowledge base. Use this tool to discover connected information and explore relationships within your notes.
- Generate mind maps, flowcharts, or hierarchies from any concept to structure and clarify thinking processes.MIT
- Search the global concept store in Kratos-MCP to retrieve relevant code snippets, comments, or runtime traces using query keywords, result limits, and optional concept filters.
- List the available scopes on this server to group related tools and use them as search terms for filtering tool lists.
- Submit an agency engagement enquiry for a founder-led discovery call. Choose from four scopes: workflow sprint, proof-of-concept, pilot support, or advisory. Get hands-on expert support beyond self-service learning.MIT
- File a single concept, decision, or finding as a persistent memory node. Requires searching for existing duplicates before creating; optionally mark as transient for short-lived data like ticket state.MIT
- Search across screen, voice, and clipboard entries to find content semantically related to any query. Returns a unified ranked list with source tags for open-ended recall spanning multiple data types.
- Return isolated, non-transient concept nodes with no connections to surface dropped context, then suggest linking them to related ideas or archiving if irrelevant.MIT
- Search a knowledge graph for entities like people, organizations, or technologies using semantic similarity. Discover who or what is mentioned in memories and find entities by concept.MIT
- Retrieve a comprehensive list of available metrics from the dbt Semantic Layer. Use it as the initial step to identify relevant metrics for answering data or business-related queries.
- Visualize the semantic topology of your codebase to identify which directories concentrate domain concepts, including entity counts and density, for a quick understanding of codebase layout before detailed analysis.MIT
- List all code entities (classes/functions) that implement a given concept, such as loss functions or network architectures. Returns entity names with semantic tags, enabling concept-based code search beyond simple text matching.MIT
- Look up a concept to find all variants, related concepts, naming conventions, function signatures, and file locations. Resolves questions like 'what is X', 'what does X mean', or 'where is X used'.MIT