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MCP server for populating and managing Sciple platform content

Project description

Sciple Platform MCP Server

MCP server that lets a local Claude populate and manage Sciple platform content — environments, services, observability dashboards, runbooks, projects, and tickets — via the Sciple REST API. Engineers use it to bootstrap tenant structure, maintain the service catalog, build dashboards, author runbooks, and triage tickets without leaving their AI coding session.

Distribution channels:

Channel Use it from How to install
PyPI Claude Code, custom scripts, CI uvx sciple-mcp
MCP Registry Anywhere an MCP client speaks the registry protocol Resolves automatically by io.github.navaganeshr/sciple-mcp
Desktop Extension (.dxt) Claude Desktop Double-click sciple-mcp-<version>.dxt from the GitHub release

Install

# Install uv (one-time, only if you don't have it)
curl -LsSf https://astral.sh/uv/install.sh | sh

uvx sciple-mcp resolves the latest version from PyPI and caches it.

Two ways to authenticate

sciple-mcp accepts two credential styles against the same Bearer machinery. Pick by transport:

Transport Auth When to use
stdiouvx sciple-mcp spawned per session Personal Access Token (sciple_pat_…) in env Simplest. Claude Desktop's default MCP model.
HTTP — long-running sciple-mcp serve OAuth-issued JWT (browser dance) Multi-client. Claude Code + any other HTTP-aware MCP client share the same server. Refresh tokens, revocation, Connected apps.

Stdio + PAT (default)

The server reads three env vars; the PAT is minted under Profile → Access tokens:

SCIPLE_API_URL=http://localhost:8000/api/v1
SCIPLE_API_TOKEN=sciple_pat_...
SCIPLE_TENANT_ID=<your tenant id>

Wire into ~/Library/Application Support/Claude/claude_desktop_config.json:

{
  "mcpServers": {
    "sciple-platform": {
      "command": "uvx",
      "args": ["sciple-mcp"],
      "env": {
        "SCIPLE_API_URL": "http://localhost:8000/api/v1",
        "SCIPLE_API_TOKEN": "sciple_pat_...",
        "SCIPLE_TENANT_ID": "..."
      }
    }
  }
}

The PAT is single-tenant — its bound tenant must equal SCIPLE_TENANT_ID. The Sciple dashboard renders this exact JSON block (with SCIPLE_API_URL and SCIPLE_TENANT_ID pre-filled) on Profile → Access tokens.


HTTP + OAuth (v0.6.0)

Five CLI subcommands ship the full lifecycle:

# 1. Authenticate via browser. DCR-registers a client on first run, drives
#    the PKCE dance, caches the tokens to ~/.sciple/credentials.json (0600).
#
# By default, the resulting JWT inherits ALL permissions you hold on the
# tenant — same role as you. Pass --scope only if you want to down-scope
# (CI bots, shared tooling).
sciple-mcp login --tenant-id <your tenant id>

# 2. Start the HTTP MCP server. Accepts OAuth JWTs as Bearer on /mcp.
sciple-mcp serve --port 8765

# 3. (macOS) make `serve` start at user login via launchd.
sciple-mcp install

# 4. One-shot token retrieval — refreshes if within 120s of expiry.
sciple-mcp print-token

# 5. Forget cached credentials. --revoke also kills the refresh server-side.
sciple-mcp logout --revoke

Wire Claude Code / any HTTP-aware MCP client at the server:

{
  "mcpServers": {
    "sciple-platform": {
      "url": "http://localhost:8765/mcp",
      "auth": "oauth"
    }
  }
}

The MCP client discovers the AS via /.well-known/oauth-protected-resource on the running sciple-mcp serve and drives its own browser dance. The user can also revoke access at any time from Profile → Connected apps on the dashboard.

Tools

Environments

Tool Description
list_environments List all environments in the tenant (id, name, slug, group, default flag)
create_environment Create an environment with optional group assignment and default flag
update_environment Update an environment's name, description, group, or sort order
delete_environment Delete an environment by id (irreversible)
list_environment_groups List environment groups (id, name, slug, AWS account binding)
create_environment_group Create an environment group with optional AWS account binding

Services

Tool Description
list_services List all services in the tenant catalog (id, name, slug)
create_service Create a service in the catalog with kind, language, SCM provider, and repository
update_service Update a service's metadata, lifecycle, owner, tags, links, or environment associations
delete_service Delete a service from the catalog by id (irreversible)

Observability

Tool Description
list_dashboards List all observability dashboards in the tenant (id, name, panel count)
get_dashboard Get a dashboard's name, description, and panel list
create_dashboard Create a new dashboard with optional description
update_dashboard Replace a dashboard's name and description (full PUT; name required)
delete_dashboard Delete a dashboard and all its panels (irreversible)
add_panel Add a panel to a dashboard. Supports 5 shapes end-to-end (pick one): PromQL (promql), CloudWatch Metrics (cw_namespace+cw_metric_name+cw_stat + optional cw_dimensions/cw_period), ElasticSearch/OpenSearch logs (es_index + optional kql_filter), CloudWatch Logs (cw_log_group + optional cw_filter_pattern), or Text (text_content + optional text_background). Log panels also accept display options (log_columns, log_limit, log_wrap_message, log_expandable_rows, log_highlight_by_severity, log_live_tail). Always pass datasource_id for metric + log panels.
delete_panel Delete a panel from a dashboard (irreversible)

Runbooks

Tool Description
list_runbooks List all runbooks in the tenant with lifecycle status and cell count
get_runbook Get a runbook with its cells (name, status, content preview per cell)
create_runbook Create a new runbook in draft status
add_cell Add a markdown / shell / http cell to a runbook with optional k8s/ecs/ec2 target
update_cell Update a cell's content or execution target
delete_cell Remove a cell from a runbook
reorder_cells Set the execution order of all cells in a runbook
promote_runbook Advance the runbook lifecycle: draft → reviewed → standard
deprecate_runbook Mark a runbook as deprecated

Runbook lifecycle: draft → reviewed → standard. Deprecation is one-way from any state.

Projects

Tool Description
list_projects List all projects in the tenant (id, key, name, classification)
get_project Get a single project's details (owner, description, classification)
create_project Create a new project (name + uppercase key like "PLAT", optional classification + owner)
list_project_members List the user_ids and roles of a project's members (use to find an assignee)
list_project_issue_types List a project's issue types (required before create_project_ticket)

Tickets

Tool Description
list_tickets List tickets across the tenant with optional filters (service, assignee, status, priority, type, tag, full-text q)
get_ticket Get a single ticket's full details + activity counts (by internal id)
create_ticket Create a service-level ticket (not bound to a project) — tickets.manage
update_ticket PATCH a ticket — change status, priority, assignee, dates, tags, parent
comment_on_ticket Add a comment to a ticket — tickets.comment
link_tickets Relate two tickets (blocks / relates_to / duplicates)
list_project_tickets List tickets in a project
get_project_ticket Get a project ticket by sequence number (the NNN in KEY-NNN)
create_project_ticket Create a ticket inside a project — returns a "KEY-NNN" display id. Recommended for most ticket creation. Supports custom_fields (JSON string of {field_id: value}). Requires tickets.create.

Ticket statuses: open → in_progress → done (or cancelled from any state). Priorities: low / medium / high / urgent. Severities (optional): minor / major / critical. Types: epic / story / task / subtask / bug.

Security

The server can only do what the PAT's scope allows. Attempts to write without the relevant manage permission return a 403 from the API and are surfaced as an error in Claude's response. The PAT is revocable at any time from Profile → Access tokens in the Sciple dashboard — revoking it immediately cuts off the server's access without any config change.

Development

To work on the server itself:

git clone https://github.com/navaganeshr/sciple-mcp
cd sciple-mcp
uv sync --all-groups
uv run python -m pytest -q

Releases are tag-driven via a GitHub Actions workflow using PyPI Trusted Publishing (OIDC). To cut a release:

  1. Bump version in pyproject.toml.
  2. Commit, then git tag vX.Y.Z && git push origin vX.Y.Z.
  3. Approve the pypi environment deployment in the Actions UI.

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