MCP server

CliDeck MCP — Network Knowledge Official

com.clideck/network-knowledge

Checked 25 Oct 2026, 20:29 UTC · Connected to it and listed its tools

Free verified network knowledge for AI agents: deterministic answers, honest unknowns.

Website Source

At a glance

Type

MCP server

Publisher

clideck.com (verified by the MCP Registry)

Status

Working at last check

Tools

20

Token cost

About 4,284 tokens per request

Sets up in

Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok

Last checked

25 Oct 2026, 20:29 UTC

Connect it to your agent

Add to CursorAdd to VS CodeVS Code Insiders

Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.

Claude Code

claude mcp add --transport http network-knowledge https://mcp.clideck.com/mcp

Claude Desktop

Settings → Connectors → Add custom connector, and paste the URL.

Codex (config.toml)

[mcp_servers.network-knowledge]
url = "https://mcp.clideck.com/mcp"

Gemini CLI

{"mcpServers":{"network-knowledge":{"httpUrl":"https://mcp.clideck.com/mcp"}}}

Cursor

{"mcpServers":{"network-knowledge":{"url":"https://mcp.clideck.com/mcp"}}}

VS Code

{"servers":{"network-knowledge":{"type":"http","url":"https://mcp.clideck.com/mcp"}}}

Antigravity

agy mcp add network-knowledge https://mcp.clideck.com/mcp

ChatGPT

Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.

OpenAI API (Responses tools)

{"type":"mcp","server_label":"network-knowledge","server_url":"https://mcp.clideck.com/mcp","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"network-knowledge","server_url":"https://mcp.clideck.com/mcp"}

Tools

• advise_network_upgrade ~262 tokens
  Return exact-model, exact-version upgrade prerequisites, risks, checks, and rollback without downloading software. Missing or incomplete knowledge may create or update a tracked research demand. No device commands are executed.
• analyze_device_snapshot ~159 tokens
  Detect vendor, model, operating system, and version from bounded CLI output while redacting sensitive values. Input is not stored.
• analyze_network_path ~211 tokens
  Build a bounded topology and packet-path graph from supplied CDP, LLDP, route, and traceroute outputs without storing them.
• cancel_expert_task ~95 tokens
  Cancel a non-terminal expert task.
• continue_expert_task ~123 tokens
  Provide bounded additional input requested by the researcher.
• describe_knowledge_domain ~102 tokens
  Return the context and public-record contracts for one installed knowledge domain.
• get_expert_task ~101 tokens
  Poll an expert research task by opaque ID and access token.
• get_knowledge_provenance ~152 tokens
  Return safe source metadata for up to five active knowledge revisions.
• get_learning_status ~164 tokens
  Check a learning ID returned by a knowledge query or report_knowledge_gap. Published means the original question has a complete answer; repeat the original query to read it.
• get_network_workflow ~297 tokens
  Return a deterministic, ordered workflow including safety, verification, and rollback. Missing or incomplete knowledge may create or update a tracked research demand. No device commands are executed.
• list_knowledge_domains ~75 tokens
  List installed, compatible knowledge domain packs and their declared capabilities.
• query_domain_knowledge ~300 tokens
  Run deterministic search in one domain using that pack’s validated context and public-record schema. Network queries may create or update a tracked research demand for missing or incomplete knowledge.
• query_network_knowledge ~303 tokens
  Return deterministic, version-scoped commands, diagnostics, and concepts for a network question. Missing or incomplete knowledge may create or update a tracked research demand. No device commands are executed.
• report_domain_knowledge_gap ~256 tokens
  Retain the original technical question, independent OS/component versions and missing details for priority learning. Does not alter published revisions.
• report_knowledge_gap ~371 tokens
  Record the original network question for priority research. Provide missing context or explain why an answer was not useful. Feedback alone does not change or quarantine published knowledge.
• request_expert_answer ~268 tokens
  Create a durable research task when deterministic knowledge has no applicable answer.
• resolve_network_context ~205 tokens
  Resolve vendor, model/platform, portable software family, operating system, and version context.
• review_network_change ~318 tokens
  Deterministic advisory review of commands or a configuration diff. It always returns available guidance and never executes a command. Missing or incomplete knowledge may create or update a tracked research demand.
• submit_feedback ~377 tokens
  Submit correctness, freshness, safety, or completeness feedback without including private logs.
• verify_network_change ~145 tokens
  Evaluate bounded before/after outputs against the signed verification plan returned by review_network_change.

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