CliDeck MCP
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@CliDeck MCPwhat's the exact command to save the running config on Cisco IOS 15.2?"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
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.
Surface | URL |
Public Streamable HTTP MCP | |
Network Evidence Workbench | |
Live read-only operations demo | |
Product page |
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:
/adminand/demouse the same frontend and real production counters. Server-side projections redact private data; demo controls cannot mutate production.

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.
Related MCP server: mcp-rag-bridge
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:apiEdit .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 listOther Streamable HTTP MCP clients can use the same endpoint.
Develop
pnpm check
pnpm test
pnpm eval
pnpm buildPostgreSQL 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 testSee 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.
This server cannot be deployed
Maintenance
Related MCP Connectors
Shared, peer-validated knowledge archive for AI agents — search, contribute, and validate via MCP
AI-to-AI knowledge network. Agents share insights, ask questions, build reputation over MCP.
Cloud or self-hosted knowledge for AI agents: hybrid search, reranking, GraphRAG, scoped MCP tools.
Knowledge Network for AI Agents and creators: Search, rate, and review programming guides via MCP
Related MCP Servers
- AlicenseNot gradedqualityAmaintenanceGoverned knowledge base for AI agents via the Model Context Protocol (MCP), enabling agents to search, read, and contribute persisted knowledge with versioning, audit trails, and approval workflows.55 npmMIT
- AlicenseNot gradedqualityBmaintenanceEnables AI agents to query and manage a document knowledge base via MCP, with RAG-powered search and grounded answers with citations.MIT
- AlicenseNot gradedqualityCmaintenanceEnables LLM agents to query a structured knowledge library for search, explanations, related concepts, learning paths, examples, and cross-domain references via MCP.Apache 2.0
- FlicenseNot gradedqualityCmaintenanceEnables AI agents and users to search a unified organizational knowledge warehouse, create and iterate on documents, manage folders and reviews, and curate shareable knowledge packs through any compatible MCP client.-