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CliDeck MCP — Network Knowledge

CliDeck MCP — Network Knowledge

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clideck.comMemory & Knowledge3Updated today

About CliDeck MCP — Network Knowledge

CliDeck MCP is an open-source, version-aware knowledge framework for AI agents working with network information. It serves source-backed answers through deterministic retrieval, marks unsupported questions as unknown, and supports research that publishes immutable revisions.

Key features

  1. 01Version-aware network knowledge retrieval
  2. 02Source-backed answers
  3. 03Explicit unknown results
  4. 04Research and revision publishing
  5. 05Domain-specific knowledge packs

Use cases

  1. 01Look up device commands and workflows
  2. 02Review upgrade and change information
  3. 03Research gaps in network knowledge

MCP support

It exposes network knowledge to clients through a Streamable HTTP MCP endpoint or a local server. Its tools cover device context, commands, workflows, snapshots, and topology; it provides guidance and does not connect to devices or execute commands.

Configuration

Remote servers need no local install. Pick your client, then copy the config or install in one click.

Endpointhttps://mcp.clideck.com/mcp
Copy install command
Claude CodeTerminal
Cursor.cursor/mcp.json
VS Code.vscode/mcp.json
Claude Desktopclaude_desktop_config.json
Windsurf~/.codeium/windsurf/mcp_config.json

Run commands in a terminal; paste JSON into the client’s MCP config and restart. Servers that need sign-in will prompt on first connect.

Tools

19
ParameterTypeRequiredDescription
reasonstringYes
contextobjectNo
context.modelstringNo
context.vendorstringNo
context.versionstringNo
context.runtime_modestringNo
context.operating_systemstringNo
context.shell_environmentstringNo
questionstringYes
revision_refsarrayNo

Details

From the project README

CliDeck MCP

An open-source framework for version-aware, source-backed knowledge that AI agents query through MCP. Known answers use deterministic PostgreSQL retrieval; incomplete answers create durable research demands. Isolated Codex runs discover and extract evidence; the core validates and publishes immutable revisions. CliDeck provides guidance and never connects to devices or executes commands.

SurfaceURL
Public Streamable HTTP MCPhttps://mcp.clideck.com/mcp
Network Evidence Workbenchhttps://mcp.clideck.com/webmcp
Live read-only operations demohttps://mcp.clideck.com/demo
Product pagehttps://clideck.com/software/mcp

Capabilities

  • Network Knowledge: device context, commands, workflows, snapshots and redaction, change review, verification, upgrades, topology and expert tasks. Exact context ranks first; broader guidance is labelled and unsupported questions remain unknown. Coverage varies by vendor, platform and version.
  • Domain Packs: subject-specific schemas and deterministic validation over the shared revision/release core. Engineering Measurements demonstrates exact decimal values, units and tolerances outside networking.
  • Continuous research: 1–8 enabled isolated executors, independent Luna/High models and official price comparison in /admin/models; downloads, conversion, OCR, chunking, indexing and publication are mechanical. AI receives bounded tasks through the researcher bridge. See model policy.
  • WebMCP: six typed browser tools share a versioned case with the engineer. Complete files stay local; selected evidence is redacted before transmission. Browser-agent evidence access requires explicit opt-in. Manual controls work without WebMCP. See contract and walkthrough.
  • Operations demo: /admin and /demo use the same frontend and real production counters. Server-side projections redact private data; demo controls cannot mutate production.

Production operations dashboard

Live totals are available in the demo and /public/v1/stats; historical counts and test results are not current service guarantees. Codex was the primary engineering environment. Pipeline use through a local authenticated Codex installation needs no separate model API integration and remains subject to plan and usage limits.

Run locally

Requirements: Node.js 24, pnpm as pinned in package.json, PostgreSQL 16 (Docker Compose is provided).

cp .env.example .env
set -a
source .env
set +a
pnpm install --frozen-lockfile
docker compose up -d postgres
pnpm db:migrate
pnpm db:seed
pnpm knowledge:reindex-applicability -- --resume --verify
pnpm build
pnpm dev:api

Edit .env for your local database before sourcing it. MCP listens at http://127.0.0.1:8787/mcp. Worker/researcher entry points and all supported commands are in package.json. Production uses the canonical deployment workflow.

To connect the hosted service with the Codex CLI:

codex mcp add clideck --url https://mcp.clideck.com/mcp
codex mcp list

Other Streamable HTTP MCP clients can use the same endpoint.

Develop

pnpm check
pnpm test
pnpm eval
pnpm build

PostgreSQL integration tests and the 250-case evaluation need a migrated, seeded test database. A run that skips DB tests is not full release validation; the deploy script provisions its own disposable database and applies grants.

Create a pack:

pnpm domain:create -- --id marine-science --name "Marine Science"
pnpm install --lockfile-only
pnpm domain:validate -- --id marine-science
pnpm --filter @clideck/domain-marine-science test

See agent rules, documentation map, architecture, pack authoring and security.

License and privacy

Apache-2.0 covers code and project-authored fixtures, not production knowledge, third-party manuals or user data. Internal evidence and secrets stay private. The dedicated provenance tool exposes only allowlisted metadata for active revisions; the operations demo retains its stricter redaction boundary. See DATA-NOTICE.md.

Comments

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New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.