Markmap MCP Server vs Powerbi Analyst MCP | AllMCPs
Side-by-Side Model Context Protocol Comparison
Markmap MCP Server vs Powerbi Analyst MCP
In-depth architectural comparison of the Markmap MCP Server and Powerbi Analyst MCP MCP servers. Compare execution transports, security boundaries, tool capabilities, quality scores, and ready-to-paste client installation snippets for Claude, Cursor, Windsurf, and VS Code.
At a Glance & Executive Verdict
Markmap MCP Server
Data Visualization · Local stdio
Quality: 68/100 (Great) | Auth: No auth required
Powerbi Analyst MCP
Data Visualization · Local stdio
Quality: 55/100 (Good) | Auth: OAuth 2.0
Verdict Summary: Choose Markmap MCP Server if you need specialized Data Visualization tools running via a local process. Choose Powerbi Analyst MCP if your workspace requires Data Visualization integration with local subprocess execution. Both servers can be configured concurrently in your client's mcpServers manifest.
Which MCP Server Should You Choose?
Choose Markmap MCP Server when:
You need dedicated capabilities in the Data Visualization domain.
You prefer local stdio subprocess transport architecture.
Your security boundary fits: No auth required (Free / Open Source).
An MCP server built on markmap that converts Markdown to interactive mind maps. Supports multi-format exports (PNG/JPG/SVG), live browser preview, one-click Markdown copy, and dynamic visualization features.
Connect LLMs to Power BI semantic models. Browse workspaces, tables, and measures, run DAX queries, and automatically page large results via local CSV.
Category & Scope
Tools & Capabilities Breakdown
Markmap MCP Server Tools (4)
markdown_to_mindmap
Convert structured Markdown (headings # and nested lists -) into an interactive mind map HTML file, with optional server-side PNG/JPG/SVG export.
Use when the user wants a visual mind map/outline of structured content (architecture, plans, notes, hierarchies), or asks to visualize / mindmap / diagram. Do not use for flat unstructured text (restructure first), or to list/read existing outputs (use list_mindmaps / get_mindmap).
Behavior:
- WRITES files under the configured output dir. HTML is always written; image formats write an extra file. Reusing filename overwrites.
- html is fast (<1s). png/svg/jpg launch headless Chromium via Playwright (5–15s; requires: npm install playwright && npx playwright install chromium).
- Local only — no external APIs or third-party keys. Open mode=never: The server never opens the browser.
- Offline=false (server config).
Response:
- JSON {"htmlFilePath":"<path>","filePath":"<path>"} — htmlFilePath is always the HTML source; filePath is the primary artifact (HTML or image).
- Return mode=path: Paths JSON only — no inline content.
- Errors: isError:true with {"error","message"}.
list_mindmaps
List markmap* files (html/png/jpg/jpeg/svg) in the output directory, newest first. Read-only — no side effects. Missing/empty dirs return {"files":[]}.
Returns: {"outputDir","files":[{"name","filePath","size","mtimeMs","mtime"}]} (mtime is ISO 8601).
Use before get_mindmap to discover paths, or before cleanup_mindmaps to preview targets. Not for generating new mind maps (use markdown_to_mindmap).
get_mindmap
Ready-to-Paste Client Configurations
Paste either (or both) of these JSON server blocks into your client config file (e.g. claude_desktop_config.json or ~/.cursor/mcp.json).
Markmap MCP Server is categorized under Data Visualization and uses a local stdio subprocess. In contrast, Powerbi Analyst MCP belongs to Data Visualization using local stdio subprocess. Select Markmap MCP Server when you need capabilities focused on data visualization and Powerbi Analyst MCP when you require tools for data visualization.
Retrieve a generated mind map file by absolute path. Read-only — no side effects. Only paths inside the configured output directory are allowed (path traversal denied).
Returns JSON {"filePath","mimeType","size"}. For text/html or image/svg+xml under 200KB, also appends a text content block. PNG/JPG return metadata only (no image block) — re-export via markdown_to_mindmap with format=png|jpg if the agent needs pixels.
On error: isError:true with {"error":"Failed to retrieve mind map","message"}.
Use list_mindmaps first to obtain a valid filePath. Prefer this over regenerating when the file already exists.
cleanup_mindmaps
Permanently delete markmap* files from the output directory. DESTRUCTIVE and irreversible when dryRun is false.
dryRun defaults to false — omitting it WILL delete. Always call once with dryRun=true to preview, then again with dryRun=false to commit. Prefer list_mindmaps beforehand.
Returns {"deleted":["<path>",...],"kept":<n>}; dryRun responses also include dryRun:true and do not delete.
Use instead of manual file deletion when pruning old generated mind maps.
Powerbi Analyst MCP Tools (12)
authenticate
Sign in via OAuth device code — returns a URL + one-time code; call again to complete
logout
Clear the cached token (forces re-authentication)
list_apps
List all Power BI apps you have access to — **start here**; returns `workspaceId` for each app
list_datasets
List datasets / semantic models in a workspace (use `workspaceId` from `list_apps`)
get_dataset_info
Metadata and last 5 refresh history entries for a dataset
list_tables
All visible tables in a dataset
list_measures
Measures with name, table, description, and format string
list_columns
Columns with data type and key flag
execute_dax
Run a DAX query — inline for small results, local CSV for large ones. Pass `query_summary` to log the query for future reference.
read_query_result
Page through a large CSV result without loading it all into context
search_query_history
Search the local query log by keyword, dataset, or time range — find prior DAX and results across sessions
delete_query_log_entry
Remove a query log entry (e.g. when the approach turned out to be wrong)