Figma Context MCP vs SpeechWeave
A side-by-side look at the Figma Context MCP and SpeechWeave MCP servers: transport, auth, tools, quality signals, and the config to install either one in Claude, Cursor, Windsurf or VS Code.
Verdict: choose Figma Context MCP for architecture & design work as a local process; choose SpeechWeave for speech-to-text as a local process. You can also run both side by side in one mcpServers block.
Which MCP server should you choose?
Choose Figma Context MCP when
- You need dedicated capabilities in the Architecture & Design domain.
- You prefer a local stdio subprocess transport.
- Its auth model fits you: API key required.
- You have the keys it needs:
FIGMA_API_KEY, PORT. - You want tools like
get_figma_data, download_figma_images.
Choose SpeechWeave when
- You need dedicated capabilities in the Speech-to-Text domain.
- You prefer a local stdio subprocess transport.
- You want tools like
transcribe_file, transcribe_url, start_job_file.
Feature & specification comparison
Rows where the two servers differ are marked.
| Spec | ||
|---|---|---|
| Category | Architecture & Design | Speech-to-Text |
| Quality signal | 71/100 · Great | 59/100 · Good |
| Install command | Confirmed | Confirmed |
| Transport | Local subprocess (stdio) | Local subprocess (stdio) |
| Auth | API key required | Not declared |
| Pricing | Free | Not declared |
| Required env vars | FIGMA_API_KEYPORT | None listed |
| Verified owner | Community listing | Community listing |
| GitHub stars | 16,061 | 0 |
| Directory activity | 10 views 0 installs 0 upvotes | 1 views 0 installs 0 upvotes |
| Tools | 2 | 8 |
| Full listing | View Figma Context MCP | View SpeechWeave |
Tools & capabilities
Figma Context MCP tools 2
get_figma_dataGet comprehensive Figma file data including layout, content, visuals, and component informationdownload_figma_imagesDownload SVG and PNG images used in a Figma file based on the IDs of image or icon nodes. Images will be saved relative to the server's image directory: /home/user
SpeechWeave tools 8
transcribe_fileUpload a local audio/video file and wait until transcription finishes. Prefer for short/medium clips when you need the transcript in this turn. Pass an absolute filesystem path (never raw binary). Set task='translate' to get an English translation instead of a same-language transcript. On wait timeout, returns job_id, then call get_job_status. For long audio you plan to poll yourself, use start_job_file instead.transcribe_urlStart transcription from a public HTTPS URL and wait until it finishes. Prefer for short/medium media when you need the transcript in this turn. Set task='translate' to get an English translation instead of a same-language transcript. On wait timeout, returns job_id, then call get_job_status. For long audio you plan to poll yourself, use start_job_url instead.start_job_fileUpload a local audio/video file and return a job id immediately without waiting. Use for long recordings or when you will poll later with get_job_status. Pass an absolute filesystem path. Set task='translate' for an English translation instead of a same-language transcript.start_job_urlCreate a transcription job from a public HTTPS URL and return a job id immediately. Use for long media or deferred workflows; poll with get_job_status until completed, failed, or cancelled. Set task='translate' for an English translation instead of a same-language transcript.get_job_statusFetch the current status of a transcription job (and transcript when completed). Poll until status is completed, failed, or cancelled. Pass response_format ('srt', 'vtt', or 'verbose_json') on a completed job to fetch it re-formatted.cancel_jobCancel a queued or processing transcription job. Fails if the job is already terminal.get_limitsFetch upload size ceilings for the calling API key (GET /v1/limits). Returns max_input_bytes, sync_max_bytes, and proxy_max_bytes plus MB equivalents. Call before transcribe_file or start_job_file when file size is large.fetch_docReturn public SpeechWeave documentation for a slug. Use slug 'list' for the catalog. Bundled pages include quickstart, mcp, models, billing, and data_retention. Use slug 'api' for a live OpenAPI overview, or 'api/<operation_slug>' for one endpoint (e.g. api/get_v1_limits).
Ready-to-paste client configs
Paste either block (or both) into your client config, e.g. claude_desktop_config.json or ~/.cursor/mcp.json. We only show a config when the install command is confirmed.
Figma Context MCP
{
"mcpServers": {
"glips-figma-context-mcp": {
"command": "npx",
"args": [
"-y",
"figma-developer-mcp"
],
"env": {
"FIGMA_API_KEY": "YOUR_FIGMA_API_KEY_HERE",
"PORT": "YOUR_PORT_HERE"
}
}
}
}
SpeechWeave
{
"mcpServers": {
"speechweave": {
"command": "npx",
"args": [
"-y",
"@speechweave/mcp"
]
}
}
}
Frequently asked questions
Figma Context MCP is categorized under Architecture & Design and uses a local stdio subprocess. SpeechWeave belongs to Speech-to-Text and uses a local stdio subprocess. Pick Figma Context MCP for architecture & design work and SpeechWeave for speech-to-text.
Copy the mcpServers block from the config section on this page into your client's config (for example claude_desktop_config.json or ~/.cursor/mcp.json), then fully restart the client.
Figma Context MCP is listed as free. Auth: api key required. SpeechWeave has no declared pricing — check the project's own site. If a server needs environment variables such as API keys, define them under the env key in your client's MCP config.
Yes. MCP clients support multiple servers: add glips-figma-context-mcp and speechweave as separate keys in the same mcpServers object, and your assistant will call tools from either one.
On AllMCPs, Figma Context MCP has a quality signal of 71/100 (Great) with 10 views, 0 installs and 16,061 GitHub stars. SpeechWeave has 59/100 (Good) with 1 views, 0 installs and 0 GitHub stars.