MCP Setup Server
Allows interaction with Atlassian Confluence, providing tools for page CRUD, search, spaces, comments, and attachments.
Allows interaction with Datadog, providing tools for metrics querying, monitor management (CRUD, mute/unmute), and API key validation.
Allows interaction with Figma, providing tools for file/node access, comments, images, team projects, components, and styles.
Allows interaction with GitHub, providing tools for repository management, issues, pull requests (full lifecycle with reviews), and code search.
Allows interaction with Jenkins, providing tools for job/folder management, builds, queue inspection, and configuration.
Allows interaction with Atlassian Jira, providing tools for issue CRUD, JQL search, project/board/sprint management, comments, and workflow transitions.
Allows interaction with PagerDuty, providing tools for incident management, services, users, and on-call schedules.
Allows interaction with Presto/Trino, providing tools for executing SQL queries, listing databases, schemas, tables, and retrieving query results.
Allows interaction with Redash, providing tools for query management (CRUD, execute, ad-hoc), data sources, visualizations, dashboards, alerts, and users.
Allows interaction with Slack, providing tools for messaging, channel management, user lookup, and chat conversations.
Allows interaction with Trino/Presto, providing tools for executing SQL queries, listing databases, schemas, tables, and retrieving query results.
Click on "Install 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., "@MCP Setup Serverlist my latest pull requests on GitHub"
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.
MCP Setup Server
A modular Model Context Protocol server that exposes integration "setup" tools to an MCP client (Claude Desktop, Claude Code, etc.). Each integration lives in its own module, so you can keep adding integrations (Redash, Jenkins, ...) without touching the others.
Layout
server.py # entry point: creates FastMCP, registers integrations
integrations/
__init__.py
environment.py # shared MCP_ENV / env-var resolution helpers
github.py # GitHub
redash.py # Redash
jenkins.py # Jenkins
figma.py # Figma
jira.py # Jira (Atlassian Cloud)
confluence.py # Confluence (Atlassian Cloud)
teams.py # Microsoft Teams (Graph)
datadog.py # Datadog
pagerduty.py # PagerDuty
slack.py # Slack
presto.py # Presto / TrinoEach integration module exposes a register(mcp) function that attaches its
tools. Every integration reads its own credentials from environment variables,
and only at the moment a tool is called — so you can configure just the
integrations you use and leave the rest unset.
Related MCP server: Git MCP Server
Integrations & required env vars
Integration | Env vars | Tools |
GitHub |
| 21 |
Redash |
| 26 |
Jenkins |
| 19 |
Figma |
| 14 |
Jira |
| 18 |
Confluence |
| 13 |
Teams |
| 16 |
Datadog |
| 17 |
PagerDuty |
| 17 |
Slack |
| 17 |
Presto |
| 8 |
See .env.example for where to obtain each credential. 186 tools total.
Jira auto-detects the deployment from JIRA_URL: Atlassian Cloud
(*.atlassian.net) uses email + API-token basic auth and REST v3; Server /
Data Center uses a Personal Access Token (Bearer) and REST v2, with
JIRA_EMAIL left unset. The tools are identical across both.
Tools
GitHub
Tool | Description |
| Verify the token and show the authenticated user |
| List your repositories |
| Get details for one repository |
| Create a new repository |
| List issues for a repository |
| Open a new issue |
| Search code across GitHub |
GitHub — pull requests
Tool | Description |
| List pull requests for a repository |
| Open a new pull request |
| Get full details for one PR |
| Edit title / body / state / base branch |
| List changed files with add/delete counts |
| List the commits in a PR |
| Add a conversation-tab comment |
| Fetch conversation-tab comments |
| Add an inline comment on a diff line |
| Fetch inline diff comments |
| Submit a review (approve / request changes / comment) |
| Fetch submitted reviews |
| Request reviewers (users / teams) |
| Merge a PR (merge / squash / rebase) |
Redash
Tool | Description |
| Verify the URL + API key and show the current user |
Queries | |
| List queries (optional search) |
| Get a query's SQL, options and visualizations |
| Create a query (optionally published) |
| Update an existing query's fields / publish state |
| Duplicate a query |
| Archive (soft-delete) a query |
| Execute a saved query and return result rows |
| Execute ad-hoc SQL against a data source (not saved) |
Data sources | |
| List data sources |
| Get one data source |
| Get tables/columns for a data source |
Visualizations | |
| Create a visualization for a query |
| Update a visualization |
| Delete a visualization |
Dashboards | |
| List dashboards |
| Get a dashboard with its widgets |
| Create a dashboard |
| Rename / publish / re-layout a dashboard |
| Delete a dashboard |
| Add a chart or textbox widget |
Alerts | |
| List alerts |
| Get one alert |
| Create a threshold alert on a query |
| Delete an alert |
Users | |
| List users |
Jenkins
Tool | Description |
| Verify the URL + credentials and show instance info |
Jobs & folders | |
| List jobs at root or inside a folder |
| Job details: recent builds, health, buildable |
| List a job's build parameters |
| Get a job's raw |
| Create a job from a |
| Replace a job's |
| Copy a job to a new name |
| Create a folder (Folders plugin) |
| Delete a job or folder |
| Enable / disable a job |
Builds | |
| Trigger a build (optional parameters); handles CSRF crumb |
| Info for a specific build (result, duration, causes) |
| Info for the most recent build |
| Console log (optionally just the tail) |
| Abort a running build |
Queue | |
| List items waiting in the build queue |
| Status of a queue item (did it start a build?) |
Figma
Tool | Description |
| Verify the token and show the current user |
| Get a file's metadata and pages |
| Fetch specific nodes by id |
| Render nodes to image URLs |
| Get image fill URLs in a file |
| Read / add / delete comments |
| List file version history |
| Browse team projects and their files |
| Components & styles |
Jira
Tool | Description |
| Verify creds and show the current user |
| JQL search |
| Issue CRUD |
| Assign / watch |
| Comments (plain text → ADF) |
| Workflow transitions |
| Projects & types |
| Agile boards & sprints |
Confluence
Tool | Description |
| Verify creds |
| CQL search |
| Read a page |
| Page CRUD (auto version bump) |
| Child pages |
| Spaces |
| Comments |
| Attachments |
Microsoft Teams
Tool | Description |
| Identity & directory |
| Teams & channels |
| Read channel chat |
| Post to channels |
| 1:1 / group chat |
| Meetings |
| Recordings & transcripts (Graph beta) |
Datadog
Tool | Description |
| Verify the API key |
| Metrics |
| Monitor CRUD |
| Mute / unmute |
| Events & logs |
| Dashboards |
| SLOs |
PagerDuty
Tool | Description |
| Verify token / current user |
| Incident CRUD |
| Ack / resolve |
| Incident notes |
| Services |
| Schedules & on-call |
| Users & escalation |
Slack
Tool | Description |
| Verify the bot token |
| Channels |
| Membership / DMs |
| Send / edit / delete |
| Read messages |
| React |
| Users |
| Search (needs a user token with |
Presto / Trino
Tool | Description |
| Verify the connection ( |
| Run arbitrary SQL (handles the statement-polling protocol) |
| Browse the catalog |
| Inspect a table |
| List available functions |
Setup
Install dependencies (a virtualenv is recommended):
python -m venv .venv && source .venv/bin/activate pip install -r requirements.txtCreate a GitHub Personal Access Token at https://github.com/settings/tokens — a fine-grained token, or a classic token with the
reposcope.Export it:
export GITHUB_TOKEN=ghp_your_token_here(Optional) Check the server boots:
python server.py # Ctrl-C to exit
Environments (dev / preprod / prod)
Set MCP_ENV to dev (default), preprod or prod to choose which deployment
the URL-based connections talk to. For JENKINS_URL, JIRA_URL,
CONFLUENCE_URL, REDASH_URL and PRESTO_HOST you can provide per-environment
overrides named <ENV>_<VAR>; the plain <VAR> is the fallback for any env.
MCP_ENV=prod
DEV_JENKINS_URL=https://dev-jenkins.example.com
PROD_JENKINS_URL=https://jenkins.example.com
JENKINS_URL=https://jenkins.example.com # used when no <ENV>_ override is setSo a tool resolving JENKINS_URL gets the dev URL under MCP_ENV=dev and the
prod URL under MCP_ENV=prod. An unrecognized MCP_ENV falls back to dev.
JIRA_PROJECTS_FILTER (comma-separated project keys) scopes jira_search to
those projects by default — unless the JQL already names a project, or you pass
scope_to_default_projects=False.
Verifying credentials
smoke_test.py calls each integration's lightweight verify tool (github_whoami,
jira_myself, slack_auth_test, ...). Integrations whose env vars aren't set are
skipped, so it's safe to run with only some credentials configured. It reads a
.env file next to it if present.
python smoke_test.py # test everything that's configured
python smoke_test.py slack jira # test only the named integrations ✓ github OK login=octocat
✗ slack FAIL Slack API error on auth.test: invalid_auth
– datadog skipped set DATADOG_API_KEY, DATADOG_APP_KEY to testExit code is non-zero if any configured integration fails.
Connecting to a client
Claude Code
claude mcp add mcp-setup \
--env GITHUB_TOKEN=ghp_your_token_here \
-- python server.pyClaude Desktop
Add to ~/Library/Application Support/Claude/claude_desktop_config.json:
{
"mcpServers": {
"mcp-setup": {
"command": "python",
"args": [
"server.py"
],
"env": {
"GITHUB_TOKEN": "ghp_your_token_here"
}
}
}
}Use the absolute path to the python inside your virtualenv (.venv/bin/python)
if you installed the dependencies there. Restart the client after editing the config.
server.py loads a project-root .env on startup, so you can keep credentials
there instead of in the client config's env block (real env vars still win).
Project-scoped config (.mcp.json)
For per-project auto-discovery, copy .mcp.json.example to .mcp.json in the
project root and adjust the command path. Clients that read .mcp.json (e.g.
Claude Code) will then launch the server automatically from this directory.
Adding a new integration
Create
integrations/<name>.pywith the async tool functions and aregister(mcp)that callsmcp.add_tool(fn)for each. Read credentials from environment variables (useintegrations.environment.require_urlfor any base URL so it honorsMCP_ENV).Import the module in
server.pyand add<name>.register(mcp).Add the env vars to
.env.exampleand the verify tool tosmoke_test.py.
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