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683,505 tools. Updated 2026-10-21 06:22

"Dgraph" matching MCP tools:

  • Proactively save what the user just said in their own words to Graph-MIND, including facts, preferences, plans, and decisions, so past context remains available for later recall.
    AGPL 3.0
  • Set, inspect, or share where your personal Graph-MIND memory lives: choose a synced folder or local Postgres for access across your own PCs.
    AGPL 3.0
  • Publish and retrieve team project decisions, progress, and handover notes with teammates' AIs, so everyone knows what changed, what is blocked, and what remains.
    AGPL 3.0
  • Maps a Luau function's nested protos into an IDA-style call graph, returning flattened parent/depth nodes to trace callees, spot deeply nested logic, and pick disassembly targets.
    MIT
  • Retrieves relevant past conversations, facts, preferences, and decisions as a size-capped context packet so assistants can answer questions that depend on earlier work or discussion.
    AGPL 3.0
  • Delete chosen memories from Graph-MIND across your PC and other devices. Search by topic, confirm masked matches, then remove only the selected items.
    AGPL 3.0
    Destructive

Matching MCP Servers

  • A
    license
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    quality
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    maintenance
    Self-hostable MCP server for WhisperGraph — a graph of 7.39B nodes / 39B edges mapping DNS, BGP, GeoIP, WHOIS, and threat intelligence. Six read-only tools (Cypher query + schema introspection + threat assessment), six resources, eight investigation prompts. stdio and Streamable HTTP transports.
    8
    25 npm
    1
    Apache 2.0
  • A
    license
    A
    quality
    A
    maintenance
    Graph-MIND records every conversation you have with Claude Code, Codex and Claude Desktop, word for word, in a store on your own PC. When a question depends on the past, the model you are using calls Graph-MIND over MCP and gets back a few thousand tokens of the conversations that answer it.
    4
    7
    3,169 PyPI
    4
    AGPL 3.0

Matching MCP Connectors

  • Inspect or list matched memories and conversation turns as structured rows—ids, fields, and ordered history for one entity—rather than ready-to-read context.
    AGPL 3.0
  • Retrieve recorded code changes with diff excerpts, filtered by project, time range, file, symbol, or change kind to answer questions about when and where code changed.
    AGPL 3.0
  • Fetch graph API capabilities from CodeLogic, returning label and relationship metadata when the graph tier is active, or explaining missing routes otherwise.
    Mozilla Public 2.0
  • Trace the bounded path between two nodes in your architecture graph, revealing underlying code and data dependencies. Specify from and to nodes, with optional depth and scan controls.
    Mozilla Public 2.0
  • Search the CodeLogic knowledge graph to retrieve code and data architecture dependencies. Use a text query or identity prefix, with optional scan space and view filters.
    Mozilla Public 2.0
  • Find owners and reviewers for any node in your code architecture graph by providing its node ID or identity prefix.
    Mozilla Public 2.0
  • Query and visualize the thought graph to view DAG structure, find paths between nodes, inspect branches, and analyze graph statistics for structured reasoning.
    MIT
  • Identify affected code and data dependencies from seed node IDs, using direction, depth, and scan space to bound the impact analysis.
    Mozilla Public 2.0
  • Open an interactive force-directed schema graph to explore Microsoft Graph entities, permissions, and roles. Use entity, permission, or role views to focus on a node, search, expand, and pivot.
    MIT
  • Identify conflicting facts in your memory graph by detecting pairs connected by a CONTRADICTS edge. Use during reviews or before graph decay to surface unresolved contradictions.
    MIT
  • Split a falsely merged entity into two, moving specified edges to the new entity. Use when entity resolution incorrectly merged distinct entities.
    MIT
    Destructive
  • Assess graph health with counts of nodes, edges, orphans, contradictions, stale entries, schema version, and backlog. Use at session start or after graph decay/prune to verify results.
    MIT