Cisco ISE MCP Server

An MCP server that gives an AI agent programmatic access to one or more Cisco Identity Services Engine (ISE) deployments through four complementary API surfaces. When more than one surface can serve a request, they are used in precedence order — Open API → ERS → Data Connect → Monitor API — falling back to a lower surface only if the higher one can't serve the task or errors:

• Open API (ISE 3.1+) — repository, backup/restore, certificates, policy, TrustSec, patch, licensing, deployment/nodes, plus a generic passthrough for any /api/ endpoint. Highest precedence.
• ERS (External RESTful Services) — full CRUD on ISE configuration objects and current state.
• Data Connect (ISE 3.2+) — read-only SQL against the ISE monitoring database. The surface for reporting / historical / aggregate / audit data that no higher surface exposes.
• Monitoring (MnT) — legacy /admin/API/mnt live session / CoA / failure-reason queries (returns XML). Lowest precedence — use only when no higher surface serves the request.

Multiple deployments

One running server can target many ISE deployments (e.g. a RADIUS deployment, a TACACS+ deployment, a VPN deployment). You pick the target per request by name or number:

"List all RADIUS policy sets on Deployment 1" "Add network device 'Office' (10.10.10.10) to the TACACS Only deployment"

• Non-secret config lives in a per-user registry (deployments.json); passwords are stored separately in the OS keyring (or injected via env vars on headless hosts).
• Each deployment has its own Data Connect certificate.
• Add deployments straight from the AI agent (no file editing) or with the CLI.

Tool surfaces are built from the Cisco-published OpenAPI YAML specs (ERS, Open API, Monitoring) — downloaded via iseapi_yaml/links.yaml and compiled into versioned JSON catalogs under src/cisco_ise_mcp/catalog/ by scripts/refresh_catalog.py; Data Connect views are scraped from Cisco DevNet. On a first install run uv run python scripts/refresh_catalog.py --all to build all four catalogs; later runs (scripts/refresh_catalog.py or cisco-ise-mcp refresh) auto-build ERS + Open API and only rebuild the Data Connect / Monitor API catalogs if a deployment enables them. Target release: Cisco ISE 3.4. 202 tools (82 ERS, 66 Open API, 17 Monitoring, 27 Data Connect, 10 meta).

Quick start (with uv)

uv venv && uv pip install -e .
uv run python scripts/validate.py                    # offline self-test (no ISE needed)
uv run python scripts/refresh_catalog.py --all       # FIRST RUN: build all four catalogs (later refreshes auto-gate to enabled surfaces)
uv run cisco-ise-mcp add --name "RADIUS Only" --host 10.1.1.1 --ers-username ers-admin
uv run cisco-ise-mcp set-credential radius-only      # secure password prompt
uv run cisco-ise-mcp update radius-only --host 10.1.1.9   # fix/add fields later (optional)
uv run cisco-ise-mcp list
uv run cisco-ise-mcp                                 # start the stdio MCP server

New to this? Start with QUICKSTART.md.

MCP SDK v1 vs v2

The server runs under either major of the mcp Python SDK — the same code auto-detects which one the venv installed. Only one mcp can be installed per environment, so pick the major with an install extra (separate venvs from this one repo):

uv pip install -e '.[v1]'    # mcp 1.x   (or:  uv sync --extra v1)
uv pip install -e '.[v2]'    # mcp 2.x   (or:  uv sync --extra v2)

Plain uv pip install -e . accepts either major (mcp>=1.28,<3). On v2, tool results additionally carry a machine-readable structuredContent payload; v1 returns text only. Both start the server the same way — cisco-ise-mcp, python -m cisco_ise_mcp, or python -m cisco_ise_mcp.server.

Full setup (Windows / macOS / Linux), credential security, Data Connect certificates, adding multiple deployments, connecting Claude Desktop / Hermes / other MCP clients, the tool list, and troubleshooting are in USER_GUIDE.md.